Mapping copy number variation by population-scale genome sequencing
Open accessAbstract
Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 36 cited sources checked · 0 supported · 0 flagged
- Findingown data
Fifty-three percent of structural variants were mapped to nucleotide resolution.
“Most SVs (53%) were mapped to nucleotide resolution, which facilitated analyzing their origin and functional impact.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Gene disruptions are depleted among high-frequency deletions.
“observed a depletion of gene disruptions amongst high frequency deletions”
- Also stated in: § Population genetic properties of deletions · plain
“we observed a depletion of high frequency alleles among deletions intersecting with protein-coding sequence compared to other deletions (P=1.1×10−11; KS test)”
Quote in the paperSubstantial claim - Also stated in: § Population genetic properties of deletions · plain
- Findingown data
The map contained 22,025 deletions and 6,000 additional structural variants, including insertions and tandem duplications.
“Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
The authors constructed a map of structural-variant hotspots formed by common mechanisms.
“constructed a map constructed a map of SV hotspots formed by common mechanisms”
Quote in the paperSubstantial claim - Findingown data
Structural variants originating from different formation mechanisms have different size spectra.
“we observed differences in the size spectra of SVs originating from distinct formation mechanisms”
Quote in the paperSubstantial claim
- Findingown data
TIGRA validated an additional 7,359 structural variants discovered by read-pair or read-depth methods by identifying their breakpoints.
“TIGRA further enabled us to validate an additional 7,359 SVs discovered with RP or RD features by identifying the SVs’ breakpoints”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Breakpoints of 7,066 deletions and 3,299 mobile element insertions were initially mapped using split-read and assembly features.
“We initially mapped the breakpoints of 7,066 deletions and 3,299 MEIs using SR and AS features.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Deletions in genomic regions accessible to short-read sequencing display extensive linkage disequilibrium with SNPs.
“deletions in genomic regions accessible to short read sequencing display extensive linkage disequilibrium (LD) with SNPs.”
Quote in the paperSubstantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
- Findingown data
Sixty-one percent of structural variants in the release set came from individual methods meeting the FDR at or below 10% threshold.
“Most SVs in the release set (61%) were contributed by individual methods meeting the pre-defined specificity threshold (FDR≤10%).”
Quote in the paperNot a substantial claim - Findingown data
A common deletion previously associated with body-mass index was identified by read-pair, read-depth, and split-read methods.
“a common deletion, previously associated with body-mass index35 (BMI), that we identified with RP, RD, and SR methods”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Willer, C. J. et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nature Genet. 41, 25–34 (2008)
Not checked in the free run.
- Findingown data
Tandem duplications showed extensive stretches of at most 95% sequence identity at breakpoints that linearly correlated in length with structural-variant size.
“the tandem duplications showed extensive stretches displaying ≤95% sequence identity at the breakpoint linearly correlating in lenght with SV size”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Most tandem duplications displayed 2-17 bp of microhomology at their breakpoint junctions.
“most tandem duplications displayed 2-17 bp of microhomology at the breakpoint junctions”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
The remaining 39% of release-set calls came from lower-specificity methods after experimental validation.
“The remaining 39% of calls were contributed by lower specificity methods following experimental validation.”
Quote in the paperSubstantial claim - Findingown data
Structural variants showed notable clustering into structural-variant hotspots.
“we observed a notable clustering of SVs into ’SV hotspots’.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
16.1% of deletions displayed non-template inserted sequences at their breakpoint junctions.
“a small portion of the deletions (16.1%) displayed non-template inserted sequences at their breakpoint junctions.”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Genotypes were generated for 13,826 autosomal deletions in 156 individuals.
“Using this approach we generated genotypes for 13,826 autosomal deletions in 156 individuals.”
Quote in the paperSubstantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
- Findingown data
A segmentation approach yielded a map of 51 putative structural-variant hotspots.
“we devised a segmentation approach for predicting SV hotspots (Methods), which yielded a map of 51 putative SV hotspots”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
A small fraction of deletion loci (4.4%) displayed different breakpoints in different samples.
“Few deletion loci (4.4%) displayed different SV breakpoints in different samples”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
TIGRA-targeted assembly identified breakpoints for an additional 4,188 deletions and 160 tandem duplications initially discovered by read-depth, read-pair, and paired-depth methods.
“Using the TIGRA-targeted assembly approach38 we further identified the breakpoints of an additional 4,188 deletions and 160 tandem duplications, initially discovered by RD, RP, and PD methods”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] Hinds, D. A., Kloek, A. P., Jen, M., Chen, X. & Frazer, K. A. Common deletions and SNPs are in linkage disequilibrium in the human genome. Nature Genet. 38, 82–85 (2006) source
Not checked in the free run.
- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Several coding sequence deletions were observed with high allele frequency above 80%.
“several coding sequence deletions were observed with high allele frequency (>80%)”
Quote in the paperNot a substantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
- Findingown data
Eighty-one percent of common deletions had at least one SNP with which they were strongly correlated at r2 above 0.8.
“81% of common deletions had one or more SNPs with which they are strongly correlated (r2>0.8; Supplementary Fig. 7).”
Quote in the paperSubstantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
- Findingown data
Eighty percent of hotspots mainly comprised structural variants originating from a single formation mechanism.
“80% of the hotspots mainly comprised SVs originating from a single formation mechanism”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingnone given
Common gene deletions also affected many unique genes with no obvious paralogs.
“common gene deletions also affected many unique genes with no obvious paralogs”
Quote in the paperNot a substantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
- Findingown data
Structural variants formed by non-allelic homologous recombination, variable-number tandem repeats, and non-homologous rearrangement showed marked clustering extending hundreds of kilobases.
“observed a marked clustering of SVs formed by NAHR, VNTR, and NH, respectively, a signal extending to hundreds of kilobases”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Many structural variants were supported by multiple discovery methods.
“Many SVs exhibited support from distinct SV discovery methods”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Six of the reported hotspots fall into critical regions of known genetic disorders associated with recurrent de novo deletions, including Miller-Dieker syndrome and Leri-Weill dyschondrosteosis.
“out of the hotspots we report, six fall into critical regions of known genetic disorders associated with recurrent de novo deletions, including Miller-Dieker syndrome and Leri-Weill dyschondrosteosis”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Findingown data
Facilitated by ancestral analyses, the study also characterized insertions and tandem duplications, though in less detail than deletions.
“Facilitated by ancestral analyses of SV loci, we also characterized insertions and tandem duplications, albeit in less detail than deletions.”
Quote in the paperNot a substantial claim - Premisecitation
The fraction of the genome affected by structural variants is larger than that affected by single-nucleotide polymorphisms.
“The fraction of the genome affected by SVs is comparatively larger than that accounted for by single nucleotide polymorphisms1 (SNPs), implying significant consequences of SVs on phenotypic variation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Conrad, D. F. et al. Origins and functional impact of copy number variation in the human genome. Nature 464, 704–712 (2010) source
Not checked in the free run.
- Premisenone given
Before this study, the nucleotide-resolution architecture of most structural variants was unknown.
“Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown.”
Quote in the paperSubstantial claim - Interpretationown data
The analytical framework and structural-variant map serve as a resource for sequencing-based association studies.
“Our analytical framework and SV map serves as a resource for sequencing-based association studies.”
Quote in the paperSubstantial claim - Interpretationown data
The study demonstrates that population-scale sequencing is suitable for structural-variant analysis.
“we demonstrate the suitability of population-scale sequencing for SV analysis.”
Quote in the paperSubstantial claim - Interpretationown data
Many deletions mapped in the study will be identifiable through tagging SNPs in future studies.
“This suggests that many deletions mapped in our study will be identifiable through tagging SNPs in future studies”
Quote in the paperSubstantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
- Interpretationown data
These observations suggest that structural-variant formation is frequently associated with a locus-specific propensity for genomic rearrangement.
“These observations suggest that SV formation is frequently associated with the locus-specific propensity for genomic rearrangement.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Premisecitation
Nucleotide-resolution breakpoint information enables inference of structural-variant formation mechanisms.
“Nucleotide resolution breakpoint information enables inference of SV formation mechanisms15,22.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] Korbel, J. O. et al. Paired-end mapping reveals extensive structural variation in the human genome. Science 318, 420–426 (2007) source
Not checked in the free run.
- cites [22] Kidd, J. M. et al. Mapping and sequencing of structural variation from eight human genomes. Nature 453, 56–64 (2008) source
Not checked in the free run.
- Interpretationown data
The abundance of microhomology at tandem duplication breakpoints suggests frequent formation of this class by non-homologous rearrangement.
“an abundance of microhomology at tandem duplication breakpoints suggested frequent formation of this SV class by a rearrangement process acting in the absence of homology (NH).”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Study design and conductown data
Deletion discovery sensitivity was assessed against a gold standard assembled from four earlier surveys.
“We further assessed the sensitivity of deletion discovery methods by collating data from four earlier surveys1,13,22,28 into a gold standard”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [1] Conrad, D. F. et al. Origins and functional impact of copy number variation in the human genome. Nature 464, 704–712 (2010) source
Not checked in the free run.
- cites [13] McCarroll, S. A. et al. Integrated detection and population-genetic analysis of SNPs and copy number variation. Nature Genet. 40, 1166–1174 (2008) source
Not checked in the free run.
- cites [22] Kidd, J. M. et al. Mapping and sequencing of structural variation from eight human genomes. Nature 453, 56–64 (2008) source
Not checked in the free run.
- cites [28] Mills, R. E. et al. An initial map of insertion and deletion (INDEL) variation in the human genome. Genome Res. 16, 1182–1190 (2006) source
Not checked in the free run.
- Interpretationown data
The depletion of high-frequency coding deletions is consistent with purifying selection keeping most gene deletions at low frequency.
“consistent with purifying selection keeping most gene deletions at low frequency”
Quote in the paperSubstantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
- Study design and conductown data
Structural-variant calls were validated by PCR, array CGH, SNP microarrays, targeted assembly, and custom microarray-based sequence capture.
“We validated SV calls by PCR, array CGH and SNP microarrays, targeted assembly, and custom microarray-based sequence capture.”
Quote in the paperSubstantial claim - Premisecitation
Because read-pair and read-depth methods can detect structural variants in repetitive regions and interpret multi-mapping reads, the accessible genome fraction is higher for structural variants than for SNPs.
“owing to the abilities of RP and RD methods in detecting SVs in these regions and in interpreting reads with multiple mapping positions, the ‘accessible’ fraction of the genome is higher for SVs than for SNPs16.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Alkan, C. et al. Personalized copy number and segmental duplication maps using next-generation sequencing. Nature Genet. 41, 1061–1067 (2009) source
Not checked in the free run.
- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
- Interpretationnone given
The structural-variant resource will enable discovery, genotyping, and imputation of structural variants in larger cohorts.
“Our SV resource will enable the discovery, genotyping, and imputation of SVs in larger cohorts.”
Quote in the paperSubstantial claim
- May combine two claims. 37
- Classified as probably not a substantial claim. 10
May combine two claims.
Findingown dataThe authors built a copy-number-variant map from whole-genome sequencing of 185 human genomes, combining multiple discovery methods and experimental validation.
“We constructed a map of unbalanced SVs (i.e., copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
FindingcitationThe median structural-variant size was 729 bp (mean 8 kb), about four times smaller than in a recent tiling CGH study.
“The median SV size was 729 bp (mean=8 kb), approximately four times smaller than in a recent tiling CGH based study1”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Conrad, D. F. et al. Origins and functional impact of copy number variation in the human genome. Nature 464, 704–712 (2010) source
Not checked in the free run.
May combine two claims.
Findingown data1,700 structural variants affected coding sequences, causing full gene overlaps or exon disruptions, many of which led to out-of-frame exons.
“Seventeen hundred SVs affected coding sequences, resulting in full gene overlaps or exon disruptions (Table 2), many of which led to out-of-frame exons”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown data70.8% of deletions and 89.6% of insertions exhibited breakpoint microhomology or homology ranging from 2 to 376 bp, with distribution modes at 2 bp and 15 bp.
“70.8% of the deletions and 89.6% of the insertions exhibited breakpoint microhomology/homology ranging from 2-376 bp in size, with distribution modes of 2 bp (attributable to NH) and 15 bp (attributable to MEI), respectively”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataNon-homologous and non-allelic homologous recombination mechanisms occurred across a wide size range, whereas variable-number tandem-repeat expansion or shrinkage produced relatively small structural variants.
“NH and NAHR based mechanisms occurred across a wide size-range, whereas VNTR expansion/shrinkage, consistent with earlier findings1, led to relatively small SV sizes”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Conrad, D. F. et al. Origins and functional impact of copy number variation in the human genome. Nature 464, 704–712 (2010) source
Not checked in the free run.
- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataThe map enabled examination of size spectra of structural-variant formation mechanisms and identification of genomic hotspots commonly dominated by a single formation mechanism.
“Our map further enabled us to examine size spectra of SV formation mechanisms and led us to identify genomic SV hotspots that are commonly dominated by a single formation mechanism.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMost hotspots corresponded to non-allelic homologous recombination hotspots, although hotspots dominated by non-homologous rearrangement and variable-number tandem repeats were also evident.
“Most of these corresponded to NAHR hotspots, although hotspots dominated by NH and VNTR also were evident.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataOf the remaining structural variants, 60% were classified as deletions relative to ancestral sequence, and the ancestral state of 17% was undetermined.
“Of the remaining SVs, 60% were classified as deletions relative to ancestral sequence, whereas the ancestral state of 17% was undetermined.”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown data15,556 structural variants in the set were classified as novel, with enrichment of low-frequency and small variants among the novel ones.
“we classified 15,556 SVs in our set as novel, with an enrichment of low frequency SVs and small SVs amongst the novel variants”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEight callsets met the pre-specified specificity threshold of FDR at or below 10%, while other callsets had FDRs between 13% and 89%.
“eight callsets (three deletion, four insertion, and one tandem duplication callset) met the pre-specified specificity threshold33 (FDR≤10%), whereas the other callsets yielded lower specificity (FDRs of 13%-89%).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] The 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing. Nature 467, 1061–1073 (2010) source
Not checked in the free run.
May combine two claims.
Findingown dataOf 160 nucleotide-resolution structural variants identified as tandem duplications relative to the reference, 91.6% were classified as duplications relative to the ancestral genome, and 8.4% had undetermined ancestral state.
“out of 160 nucleotide-resolution SVs identified as tandem duplications relative to the reference genome, 91.6% were classified as duplications relative to the ancestral genome, whereas the ancestral state of 8.4% remained undetermined”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataCommon polymorphisms with minor allele frequency above 5% were generally shared across populations, while rare alleles were frequently observed in only one population.
“common polymorphisms (minor allele frequency (MAF) >5%) were generally shared across populations, while rare alleles were frequently observed in only one population”
Quote in the paperNot a substantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
May combine two claims.
Findingown dataIn low-coverage data, the individual method with the greatest accuracy (FDR=3.7%) was second most sensitive on the gold standard and most sensitive when the gold standard was expanded.
“in the low-coverage data, the individual method with the greatest accuracy (FDR=3.7%) was the second most sensitive based on our gold standard (Fig. 2B), and the most sensitive when expanding the gold standard to a larger set of individuals”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNon-homologous rearrangement was inferred as the dominant deletion mechanism, and mobile element insertion as the dominant insertion mechanism.
“we inferred NH as the dominating deletion mechanism, and MEI as the dominating insertion mechanism”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataMost structural variants intersecting genes were deletions, but several validated tandem duplications and mobile element insertions also intersected coding sequences.
“While most SVs intersecting with genes were deletions, several validated tandem duplications and MEIs also intersected with coding sequences”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataCompared with a recent individual-genome survey, the set had a similar deletion size distribution but different size distributions for other structural-variant classes, reflecting ascertainment differences.
“we also compared our set to a recent survey of SVs in an individual genome37 based on capillary sequencing and array-based analyses24, and observed a similar size distribution for deletions, but differences in the size distributions of other SV classes, reflecting underlying differences in SV ascertainment”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [37] Hasin-Brumshtein, Y., Lancet, D. & Olender, T. Human olfaction: from genomic variation to phenotypic diversity. Trends Genet. 25, 178–184 (2009) source
Not checked in the free run.
- cites [24] Pang, A. W. et al. Towards a comprehensive structural variation map of an individual human genome. Genome Biol. 11, R52 (2010) source
Not checked in the free run.
May combine two claims.
Findingown dataMarked insertion peaks for mobile element insertions occurred at 300 bp, corresponding to Alu elements, and at 6 kb, corresponding to L1/LINEs.
“we observed marked insertion peaks for MEIs at 300 bp, corresponding to Alu elements, and at 6 kb, corresponding to L1/LINEs”
Quote in the paperNot a substantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataThe genotypes showed 99.1% concordance with CGH array-based genotypes for 1,970 deletions, suggesting high genotyping accuracy.
“The genotypes displayed 99.1% concordance with CGH array1 based genotypes (available for 1,970 of the deletions), suggesting high genotyping accuracy.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Conrad, D. F. et al. Origins and functional impact of copy number variation in the human genome. Nature 464, 704–712 (2010) source
Not checked in the free run.
- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
May combine two claims.
Findingown dataNon-allelic homologous recombination was significantly enriched near recombination hotspots (P=1.3e-15) and segmental duplications (P=3.1e-17), contributing to clustering.
“A significant enrichment of NAHR near recombination hotspots (P=1.3e-15) and segmental duplications (P=3.1e-17) further contributed to the clustering”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataThe release set contained 22,025 deletions, 501 tandem duplications, 5,371 mobile element insertions, and 128 non-reference insertions.
“the release set comprised 22,025 deletions, 501 tandem duplications, 5,371 MEIs, and 128 non-reference insertions”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationMost high-frequency coding deletions occurred in regions annotated as segmental duplications, consistent with lessened evolutionary constraint in functionally redundant gene categories.
“Most of these occurred in regions annotated as segmental duplications, consistent with lessened evolutionary constraintin functionally redundant gene categories22.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Kidd, J. M. et al. Mapping and sequencing of structural variation from eight human genomes. Nature 453, 56–64 (2008) source
Not checked in the free run.
- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
May combine two claims.
FindingreasoningSeveral candidate monomorphic deletions were observed, explainable by rare insertions in the reference genome or by remaining genotyping inaccuracies.
“We observed several candidates for monomorphic deletions (i.e., genomic segments putatively deleted in all individuals), explainable by rare insertions present in the reference genome or by remaining genotyping inaccuracies”
Quote in the paperNot a substantial claim- Rests on an assumption: The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
May combine two claims.
Findingown dataDiscovery methods differed in the genomic regions they ascertained, the structural-variant size range they accessed, and their breakpoint precision.
“we observed notable differences between methods (Fig. 2ABC) in terms of genomic regions ascertained (Supplementary Fig. 1), accessible SV size-range (Fig. 2A), and breakpoint precision”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataOverall deletion discovery sensitivity was 82% in trios and 69% in low-coverage sequence using a 1 bp overlap criterion.
“we estimated an overall sensitivity of deletion discovery of 82% in the trios, and 69% in low-coverage sequence (Fig. 2B) using a 1 bp overlap criterion.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAbout 15,000 structural variants were mapped at nucleotide resolution, and 48% of these were novel.
“Altogether, we mapped ~15,000 SVs at nucleotide resolution, 48% of which were novel.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataIn trios, the highest sensitivities were achieved by read-depth and read-pair methods, but these had FDR above 10%.
“in the trios the highest sensitivities were achieved by RD and RP methods with FDR>10%”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 11,254 nucleotide-resolution structural variants discovered as deletions relative to the human reference, 21% were insertions and 2% were tandem duplications relative to the putative ancestral genome.
“of the 11,254 nucleotide-resolution SVs discovered as deletions relative to a human reference, 21% actually represented insertion and 2% represented tandem duplications relative to the putative ancestral genome.”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
FindingcitationClustering was influenced by an abundance of variable-number tandem repeats near centromeres and non-allelic homologous recombination near telomeres.
“The clustering was influenced by an abundance of VNTR near the centromeres43 and NAHR near the telomeres”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Lee, J. A., Carvalho, C. M. & Lupski, J. R. A. DNA replication mechanism for generating nonrecurrent rearrangements associated with genomic disorders. Cell 131, 1235–1247 (2007) source
Not checked in the free run.
- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
May combine two claims.
Findingown dataAn algorithm-centric set had about 13% more high-specificity calls than the release set but fewer total calls because of lower sensitivity below 200 bp.
“this alternative approach resulted in an increased number (by ~13%) of high-specificity (FDR<10%) calls compared to the release set (Supplementary Text), it overall resulted in fewer SV calls owing to its decreased sensitivity at the lower (<200bp) SV size range.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStructural variants have been associated with autism, schizophrenia, and Crohn's disease.
“SVs have already been associated with diverse diseases, including autism2,3, schizophrenia4,5 and Crohn’s disease6,7.”
Quote in the paperNot a substantial claim0 of 6 sources checked- cites [2] Pinto, D. et al. Functional impact of global rare copy number variation in autism spectrum disorders. Nature 466, 368–372 (2010) source
Not checked in the free run.
- cites [3] Sebat, J. et al. Strong association of de novo copy number mutations with autism. Science 316, 445–449 (2007) source
Not checked in the free run.
- cites [4] Stefansson, H. et al. Large recurrent microdeletions associated with schizophrenia. Nature 455, 232–236 (2008) source
Not checked in the free run.
- cites [5] McCarthy, S. E. et al. Microduplications of 16p11.2 are associated with schizophrenia. Nature Genet. 41, 1223–1227 (2009) source
Not checked in the free run.
- cites [6] Craddock, N. et al. Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls. Nature 464, 713–720 (2010) source
Not checked in the free run.
- cites [7] McCarroll, S. A. et al. Deletion polymorphism upstream of IRGM associated with altered IRGM expression and Crohn’s disease. Nature Genet. 40, 1107–1112 (2008) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationLocus-specific studies suggest that diverse mechanisms form structural variants de novo, with some mechanisms involving complex rearrangements and multiple chromosomal breakpoints.
“locus-specific studies suggest that diverse mechanisms may form SVs de novo, with some mechanisms involving complex rearrangements resulting in multiple chromosomal breakpoints8,9.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [8] Hastings, P. J., Lupski, J. R., Rosenberg, S. M. & Ira, G. Mechanisms of change in gene copy number. Nature Rev. Genet. 10, 551–564 (2009) source
Not checked in the free run.
- cites [9] Stankiewicz, P. & Lupski, J. R. Structural variation in the human genome and its role in disease. Annu. Rev. Med. 61, 437–455 (2010) source
Not checked in the free run.
May combine two claims.
InterpretationcitationGenome STRiP combined read-pair and read-depth features, implying that using different evidence types can improve structural-variant discovery.
“This method, Genome STRiP (to be described elsewhere36), integrated both RP and RD features (PD), implying that considering different evidence types can improve SV discovery.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] Levy, S. et al. The diploid genome sequence of an individual human. PLoS Biol. 5, e254 (2007) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningThe linkage-disequilibrium properties of complex structural variants have not been fully ascertained because methods for genotyping them with similar accuracy are still being developed.
“the LD properties of complex SVs (e.g., multiallelic SV) have not yet been fully ascertained as methods for genotyping such SVs with similar accuracy still being developed.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataExtensive validation included PCR for more than 3,000 candidate loci and microarray analyses for 50,000 candidate loci.
“we carried out extensive validations (Methods), including PCRs for over 3,000 candidate loci, and microarray data analyses for 50,000 candidate loci”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe fine-scale map enabled examination of functional impact, exemplified by gene disruption variants, and will be valuable for genome and exome sequencing studies.
“Our fine-scale map enabled us to examine the functional impact of SVs, as exemplified by our analysis of gene disruption variants, which will be of value for genome and exome sequencing studies.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenSequence-based structural-variant discovery had been applied to fewer than 20 genomes, leaving the fine-scale architecture of most common structural variants unknown.
“Sequence-based SV discovery approaches have thus far been applied to a limited (<20) number of genomes, leaving the fine-scale architecture of most common SVs unknown.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataNucleotide-resolution data allow construction of reference datasets and make structural variants readily assessable across different experimental platforms using genotyping approaches.
“Nucleotide resolution data allow the construction of reference datasets and make SVs readily assessable across different experimental platforms using genotyping approaches.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHigh levels of structural variation, including copy-number variation, had previously been described for cell defense and sensory perception.
“High levels of structural variation, including copy-number variation, were previously described for both processes15,22,39.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [15] Korbel, J. O. et al. Paired-end mapping reveals extensive structural variation in the human genome. Science 318, 420–426 (2007) source
Not checked in the free run.
- cites [22] Kidd, J. M. et al. Mapping and sequencing of structural variation from eight human genomes. Nature 453, 56–64 (2008) source
Not checked in the free run.
- cites [39] Altshuler, D. M. et al. Integrating common and rare genetic variation in diverse human populations. Nature 467, 52–58 (2010) source
Not checked in the free run.
Classified as probably not a substantial claim.
Premisenone givenDetailed structural-variant characterization, including analyses of origin and impact, requires precise structural-variant sequences.
“a detailed SV characterization, including analyses of SV origin and impact, requires knowledge of precise SV sequences.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe 1000 Genomes Project generated 4.1 terabases of raw sequence in pilot projects targeting whole human genomes.
“The 1000GP recently generated 4.1 Terabases of raw sequence in pilot projects targeting whole human genomes33”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] The 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing. Nature 467, 1061–1073 (2010) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecurrent rearrangements implicated in genomic disorders are hypothesized to be associated with local genome architecture, such as segmental duplications that facilitate non-allelic homologous recombination.
“Recurrent rearrangements, implicated in genomic disorders, are hypothesized to be associated with local genome architecture44, e.g., with segmental duplications that facilitate NAHR.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Harrow, J. et al. GENCODE: producing a reference annotation for ENCODE. Genome Biol. 7, (suppl. 1)S4 (2006) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDNA rearrangement in the absence of homology, namely microhomology-mediated break-induced replication, has been implicated in recurrent structural-variant formation.
“DNA rearrangement in the absence of homology, i.e., MMBIR, has been implicated in recurrent SV formation8,45.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [8] Hastings, P. J., Lupski, J. R., Rosenberg, S. M. & Ira, G. Mechanisms of change in gene copy number. Nature Rev. Genet. 10, 551–564 (2009) source
Not checked in the free run.
- cites [45]
Not checked in the free run.
May combine two claims.
PremisecitationThe study focused on characterizing deletions, which are often associated with disease.
“Our study focused on characterizing deletions, which are often associated with disease9.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Stankiewicz, P. & Lupski, J. R. Structural variation in the human genome and its role in disease. Annu. Rev. Med. 61, 437–455 (2010) source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe analysis revealed a map of structural-variant hotspots that may constitute local centers of de novo structural-variant formation, consistent with local genome architecture contributing to genomic instability.
“our analysis revealed a map of SV hotspots that may constitute local centers of de novo SV formation, consistent with the concept that local genome architecture contributes to genomic instability44.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Harrow, J. et al. GENCODE: producing a reference annotation for ENCODE. Genome Biol. 7, (suppl. 1)S4 (2006) source
Not checked in the free run.
- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningSystematic characterization of structural variants in future genomes will benefit from the concepts and datasets presented.
“Systematic characterization of SVs in these genomes will benefit from the concepts and datasets presented here.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenMost structural-variant discovery methods depend on mapping reads to their genomic locus of origin, the accessible fraction of the genome, which is reduced in segmental duplications.
“most SV discovery methods depend on mapping reads onto their genomic locus of origin, i.e., the ‘accessible’ fraction of the genome, a fraction lessened in segmental duplications”
Quote in the paperSubstantial claim- Rests on an assumption: The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
The paper relies on this without support.
The 156 individuals genotyped are representative of the populations from which they were sampled, so allele-frequency patterns reflect population-level properties.
“we generated genotypes for 13,826 autosomal deletions in 156 individuals”
The paper relies on this without support.
The human reference genome assembly is a valid representation of the reference sequence for identifying structural variants.
“identifying SVs as genomic differences relative to a human reference”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Human genomes carry on average more than 1,000 CNVs, amounting to about 4 million base pairs of difference.
“On average, there are >1000 CNVs in the genome, accounting for ~4 million base pairs of genomic difference (Conrad et al., 2010; Mills et al., 2011).”
From CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics (2012) · cites this paper as Mills et al., 2011
Most variants present in an individual human genome are common alleles.
“In truth, structural variants come in many shapes, sizes and allele frequencies, and a majority of variants present in an individual genome are common alleles (Conrad et al., 2010; McCarroll et al., 2008; Mills et al., 2011; Sudmant et al., 2010).”
From CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics (2012) · cites this paper as Mills et al., 2011
Large deletions and duplications in the 1000 Genomes Project had breakpoints with >95% sequence identity, suggesting NAHR.
“Large deletions or duplications showed extensive stretches of sequence of >95% identity at breakpoints, suggesting that they were generated by NAHR.”
From CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics (2012) · cites this paper as Mills et al., 2011
In the 1000 Genomes Project, about 70.8% of deletions were attributed to NHEJ or MMBIR.
“Approximately 70.8% of the deletions were attributed to either a non homology based mechanism (i.e., NHEJ) or MMBIR.”
From CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics (2012) · cites this paper as Mills et al., 2011
Most tandem duplications in the 1000 Genomes Project had 2-17 bp of microhomology at breakpoints, suggesting formation by FoSTeS/MMBIR.
“Most tandem duplications displayed microhomology of 2–17 basepairs at breakpoints, indicating that they are likely formed by FoSTeS/MMBIR.”
From CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics (2012) · cites this paper as Mills et al., 2011
In the 1000 Genomes Project, 89.6% of small insertions were attributed to retrotransposition.
“89.6% of small insertions were attributable to retrotransposition activity.”
From CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics (2012) · cites this paper as Mills et al., 2011
Cites
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,628 · see citing works
ABySS: A parallel assembler for short read sequence dataPreprint
Simpson, J. T., Wong, K., Jackman, S. D., Schein, J. E., Jones, S. J. M., & Birol, İ. (2009) · Genome Research · doi:10.1101/gr.089532.108 · Cited by 3,583 · see citing works
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026 · see citing works
Detection of large-scale variation in the human genome
Iafrate, A. J., Feuk, L., Rivera, M. N., Listewnik, M. L., Donahoe, P. K., Qi, Y., Scherer, S. W., & Lee, C. (2004) · Nature Genetics · doi:10.1038/ng1416 · Cited by 2,892 · see citing works
Strong association of de novo copy number mutations with autism
Sebat, J., Lakshmi, B., Malhotra, D., Troge, J., Lese-Martin, C., Walsh, T., Yamrom, B., Yoon, S., Krasnitz, A., Kendall, J., et al. (2007) · Science · doi:10.1126/science.1138659 · Cited by 2,795 · see citing works
Self-citationLarge-scale copy number polymorphism in the human genome
Sebat, J., Lakshmi, B., Troge, J., Alexander, J., Young, J., Lundin, P., Månér, S., Massa, H., Walker, M., Chi, M., et al. (2004) · Science · doi:10.1126/science.1098918 · Cited by 2,557 · see citing works
Self-citationFunctional impact of global rare copy number variation in autism spectrum disorders
Pinto, D., Pagnamenta, A. T., Klei, L., Anney, R., Merico, D., Regan, R., Conroy, J., Magalhaes, T. R., Correia, C., Abrahams, B. S., et al. (2010) · Nature · doi:10.1038/nature09146 · Cited by 2,013 · see citing works
Self-citationYe, K., Schulz, M. H., Long, Q., Apweiler, R., & Ning, Z. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp394 · Cited by 1,978 · see citing works
Self-citationOrigins and functional impact of copy number variation in the human genome
The Wellcome Trust Case Control Consortium, Conrad, D. F., Pinto, D., Redon, R., Feuk, L., Gokcumen, O., Zhang, Y., Aerts, J., Andrews, T. D., Barnes, C., et al. (2010) · Nature · doi:10.1038/nature08516 · Cited by 1,970 · see citing works
Self-citationPrescribing Personalized Nutrition for Cardiovascular Health: Are We Ready?
Juma, S., Imrhan, V., Vijayagopal, P., & Prasad, C. (2014) · Lifestyle Genomics · doi:10.1159/000370213 · Cited by 1,905 · see citing works
The Diploid Genome Sequence of an Individual Human
Levy, S., Sutton, G., Ng, P. C., Feuk, L., Halpern, A. L., Walenz, B. P., Axelrod, N., Huang, J., Kirkness, E. F., Denisov, G., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050254 · Cited by 1,778 · see citing works
Large recurrent microdeletions associated with schizophrenia.
GROUP, Stefansson, H., Rujescu, D., Cichon, S., Pietiläinen, O. P. H., Ingason, A., Steinberg, S., Fossdal, R., Sigurdsson, E., Sigmundsson, T., et al. (2008) · Nature · doi:10.1038/nature07229 · Cited by 1,745 · see citing works
the GIANT Consortium (2009) · Nature Genetics · doi:10.1038/ng.287 · Cited by 1,720 · see citing works
BreakDancer: an algorithm for high-resolution mapping of genomic structural variation
Chen, K., Wallis, J. W., McLellan, M. D., Larson, D. E., Kalicki, J. M., Pohl, C. S., McGrath, S. D., Wendl, M. C., Zhang, Q., Locke, D. P., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1363 · Cited by 1,463 · see citing works
Self-citationRecent Segmental Duplications in the Human Genome
Bailey, J. A., Gu, Z., Clark, R. A., Reinert, K., Samonte, R. V., Schwartz, S., Adams, M. D., Myers, E. W., Li, P. W., & Eichler, E. E. (2002) · Science · doi:10.1126/science.1072047 · Cited by 1,355 · see citing works
Mechanisms of change in gene copy number
Hastings, P. J., Lupski, J. R., Rosenberg, S. M., & Ira, G. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2593 · Cited by 1,316 · see citing works
Structural Variation in the Human Genome and its Role in Disease
Stankiewicz, P., & Lupski, J. R. (2010) · Annual Review of Medicine · doi:10.1146/annurev-med-100708-204735 · Cited by 1,201 · see citing works
The sequence and de novo assembly of the giant panda genome
Li, R., Fan, W., Tian, G., Zhu, H., He, L., Cai, J., Huang, Q., Cai, Q., Li, B., Bai, Y., et al. (2010) · Nature · doi:10.1038/nature08696 · Cited by 1,180 · see citing works
Self-citationPaired-End Mapping Reveals Extensive Structural Variation in the Human Genome
Korbel, J. O., Urban, A. E., Affourtit, J. P., Godwin, B., Grubert, F., Simons, J. F., Kim, P. M., Palejev, D., Carriero, N. J., Du, L., et al. (2007) · Science · doi:10.1126/science.1149504 · Cited by 1,163 · see citing works
Self-citationMapping and sequencing of structural variation from eight human genomes
Kidd, J. M., Cooper, G. M., Donahue, W. F., Hayden, H. S., Sampas, N., Graves, T., Hansen, N., Teague, B., Alkan, C., Antonacci, F., et al. (2008) · Nature · doi:10.1038/nature06862 · Cited by 1,119 · see citing works
Self-citationFine-scale structural variation of the human genome
Tüzün, E., Sharp, A. J., Bailey, J. A., Kaul, R., Morrison, V., Pertz, L. M., Haugen, E., Hayden, H. S., Albertson, D. G., Pinkel, D., et al. (2005) · Nature Genetics · doi:10.1038/ng1562 · Cited by 991 · see citing works
Segmental Duplications and Copy-Number Variation in the Human Genome
Sharp, A. J., Locke, D. P., McGrath, S. D., Cheng, Z., Bailey, J. A., Vallente, R. U., Pertz, L. M., Clark, R. A., Schwartz, S., Segraves, R., et al. (2005) · The American Journal of Human Genetics · doi:10.1086/431652 · Cited by 973 · see citing works
Integrated detection and population-genetic analysis of SNPs and copy number variation
McCarroll, S. A., Kuruvilla, F. G., Korn, J. M., Cawley, S., Nemesh, J., Wysoker, A., Shapero, M. H., de Bakker, P. I. W., Maller, J. B., Kirby, A., et al. (2008) · Nature Genetics · doi:10.1038/ng.238 · Cited by 936 · see citing works
Self-citationLee, J. A., Carvalho, C. M. B., & Lupski, J. R. (2007) · Cell · doi:10.1016/j.cell.2007.11.037 · Cited by 914 · see citing works
Lupski, J. R. (1998) · Trends in Genetics · doi:10.1016/s0168-9525(98)01555-8 · Cited by 908 · see citing works
Campbell, P. J., Stephens, P. J., Pleasance, E., O’Meara, S., Li, H., Santarius, T., Stebbings, L. A., Leroy, C., Edkins, S., Hardy, C. W., et al. (2008) · Nature Genetics · doi:10.1038/ng.128 · Cited by 812 · see citing works
The Wellcome Trust Case Control Consortium (2010) · Nature · doi:10.1038/nature08979 · Cited by 807 · see citing works
Personalized copy number and segmental duplication maps using next-generation sequencing
Alkan, C., Kidd, J. M., Marques-Bonet, T., Aksay, G., Antonacci, F., Hormozdiari, F., Kitzman, J. O., Baker, C., Malig, M., Mutlu, O., et al. (2009) · Nature Genetics · doi:10.1038/ng.437 · Cited by 748 · see citing works
Self-citationMicroduplications of 16p11.2 are associated with schizophrenia
Wellcome Trust Case Control Consortium, McCarthy, S. E., Makarov, V., Kirov, G., Addington, A. M., McClellan, J., Yoon, S., Perkins, D. O., Dickel, D. E., Kusenda, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.474 · Cited by 711 · see citing works
Self-citationAn initial map of insertion and deletion (INDEL) variation in the human genome
Mills, R. E., Luttig, C. T., Larkins, C. E., Beauchamp, A., Tsui, C., Pittard, W. S., & Devine, S. E. (2006) · Genome Research · doi:10.1101/gr.4565806 · Cited by 673 · see citing works
Self-citationDiversity of Human Copy Number Variation and Multicopy Genes
Sudmant, P. H., Kitzman, J. O., Antonacci, F., Alkan, C., Malig, M., Tsalenko, A., Sampas, N., Bruhn, L., Shendure, J., 1000 Genomes Project, et al. (2010) · Science · doi:10.1126/science.1197005 · Cited by 667 · see citing works
Self-citationDeletion polymorphism upstream of IRGM associated with altered IRGM expression and Crohn's disease
McCarroll, S. A., Huett, A., Kuballa, P., Chilewski, S. D., Landry, A., Goyette, P., Zody, M. C., Hall, J. L., Brant, S. R., Cho, J. H., et al. (2008) · Nature Genetics · doi:10.1038/ng.215 · Cited by 655 · see citing works
GENCODE: producing a reference annotation for ENCODE
Harrow, J., Denoeud, F., Frankish, A., Reymond, A., Chen, C.-K., Chrast, J., Lagarde, J., Gilbert, J. G., Storey, R., Swarbreck, D., et al. (2006) · Genome Biology · doi:10.1186/gb-2006-7-s1-s4 · Cited by 648 · see citing works
Sensitive and accurate detection of copy number variants using read depth of coveragePreprint
Yoon, S. C., Xuan, Z., Makarov, V., Ye, K. Q., & Sebat, J. L. (2009) · Genome Research · doi:10.1101/gr.092981.109 · Cited by 619 · see citing works
Self-citationComputational methods for discovering structural variation with next-generation sequencing
Medvedev, P., Stanciu, M., & Brudno, M. (2009) · Nature Methods · doi:10.1038/nmeth.1374 · Cited by 547 · see citing works
McKernan, K. J., Peckham, H. E., Costa, G. L., McLaughlin, S. F., Fu, Y., Tsung, E. F., Clouser, C. R., Duncan, C., Ichikawa, J. K., Lee, C. C., et al. (2009) · Genome Research · doi:10.1101/gr.091868.109 · Cited by 529 · see citing works
Self-citationHigh-resolution mapping of copy-number alterations with massively parallel sequencing
Chiang, D. Y., Getz, G. A., Jaffe, D. B., O'Kelly, M., Zhao, X., Carter, S. L., Russ, C., Nusbaum, C., Meyerson, M. M., & Lander, E. S. (2008) · Nature Methods · doi:10.1038/nmeth.1276 · Cited by 510 · see citing works
Common deletions and SNPs are in linkage disequilibrium in the human genome
Hinds, D. A., Kloek, A. P., Jen, M., Chen, X., & Frazer, K. A. (2006) · Nature Genetics · doi:10.1038/ng1695 · Cited by 372 · see citing works
Discovery and genotyping of genome structural polymorphism by sequencing on a population scale
Handsaker, R. E., Korn, J. M., Nemesh, J. C., & McCarroll, S. A. (2011) · Nature Genetics · doi:10.1038/ng.768 · Cited by 338 · see citing works
Self-citationTowards a comprehensive structural variation map of an individual human genome
Pang, A. W., MacDonald, J. R., Pinto, D., Wei, J., Rafiq, M. A., Conrad, D. F., Park, H., Hurles, M. E., Lee, C., Venter, J. C., et al. (2010) · Genome Biology · doi:10.1186/gb-2010-11-5-r52 · Cited by 335 · see citing works
Self-citationA comprehensive map of mobile element insertion polymorphisms in humans
Stewart, C., Kural, D., Strömberg, M. P., Walker, J. A., Konkel, M. K., Stütz, A. M., Urban, A. E., Grubert, F., Lam, H. Y. K., Lee, W.-P., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002236 · Cited by 307 · see citing works
Self-citationCombinatorial algorithms for structural variation detection in high-throughput sequenced genomesPreprint
Hormozdiari, F., Alkan, C., Eichler, E. E., et al. (2009) · Genome Research · doi:10.1101/gr.088633.108 · Cited by 296 · see citing works
Self-citationMutation spectrum revealed by breakpoint sequencing of human germline CNVs
Conrad, D. F., Bird, C., Blackburne, B. P., Lindsay, S., Mamanova, L., Lee, C., Turner, D., & Hurles, M. E. (2010) · Nature Genetics · doi:10.1038/ng.564 · Cited by 257 · see citing works
Self-citationNucleotide-resolution analysis of structural variants using BreakSeq and a breakpoint library
Lam, H. Y. K., Mu, X. J., Stütz, A. M., Andrea Tanzer, A., Cayting, P. D., Snyder, M. P., Kim, P. M., Korbel, J. O., & Gerstein, M. (2009) · Nature Biotechnology · doi:10.1038/nbt.1600 · Cited by 189 · see citing works
Human olfaction: from genomic variation to phenotypic diversity
Hasin-Brumshtein, Y., Lancet, D., & Olender, T. (2009) · Trends in Genetics · doi:10.1016/j.tig.2009.02.002 · Cited by 176 · see citing works
Hajirasouliha, I., Hormozdiari, F., Alkan, C., Kidd, J. M., Birol, İ., Eichler, E. E., & Şahinalp, S. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq152 · Cited by 121 · see citing works
Self-citationA robust framework for detecting structural variations in a genome
Lee, S., Cheran, E., & Brudno, M. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn176 · Cited by 59 · see citing works
Flagged first, then by citations
1 of the 49 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711 · see citing works
“low-frequency variants in individuals from diverse, Recent efforts to map human 2–4 admixed, populations. origin, they exhibit increased levels of population differentiation 6– Characterizing such variants, for both point mutations and structural many variants of functional importance and is…”
BackgroundGenetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534 · see citing works
Ancient Admixture in Human History
Patterson, N., Moorjani, P., Luo, Y., Mallick, S., Rohland, N., Zhan, Y., Genschoreck, T., Webster, T., & Reich, D. (2012) · Genetics · doi:10.1534/genetics.112.145037 · Cited by 2,848 · see citing works
“…in the analysis of northern European gene flow into Spain reported above, we filtered out two regions of the genome that have substantial structural variation that is not accurately modeled by rolloff, which assumes Poisson-distributed recombination events between two alleles (Mills et al. 2011).”
BackgroundMethodDELLY: structural variant discovery by integrated paired-end and split-read analysis
Rausch, T., Zichner, T., Schlattl, A., Stütz, A. M., Beneš, V., & Korbel, J. O. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts378 · Cited by 2,384 · see citing works
An integrated map of structural variation in 2,504 human genomes
Sudmant, P. H., Rausch, T., Gardner, E. J., Handsaker, R. E., Abyzov, A., Huddleston, J., Zhang, Y., Ye, K., Jun, G., Hsi-Yang Fritz, M., et al. (2015) · Nature · doi:10.1038/nature15394 · Cited by 2,354 · see citing works
Self-citationOpportunities and challenges in long-read sequencing data analysis
Amarasinghe, S. L., Su, S., Dong, X., Zappia, L., Ritchie, M. E., & Gouil, Q. (2020) · Genome Biology · doi:10.1186/s13059-020-1935-5 · Cited by 2,530 · see citing works
Accurate detection of complex structural variations using single-molecule sequencing
Sedlazeck, F. J., Rescheneder, P., Smolka, M., Fang, H., Nattestad, M., von Haeseler, A., & Schatz, M. C. (2018) · Nature Methods · doi:10.1038/s41592-018-0001-7 · Cited by 1,601 · see citing works
Abyzov, A., Urban, A. E., Snyder, M., & Gerstein, M. (2011) · Genome Research · doi:10.1101/gr.114876.110 · Cited by 1,658 · see citing works
Self-citationLUMPY: a probabilistic framework for structural variant discovery
Layer, R. M., Chiang, C., Quinlan, A. R., & Hall, I. M. (2014) · Genome biology · doi:10.1186/gb-2014-15-6-r84 · Cited by 1,510 · see citing works
“The read-pair module maps the output of a paired-end sequence alignment algorithm such as NOVOALIGN (C Hercus, unpublished) [8] or BWA [9], the split-read module maps the output of a split-read sequence alignment algorithm (for example, YAHA [10], BWA-SW [11], or BWA-MEM [5]), and the generic module allows users to in…”
BackgroundMethodInfluentialGenome structural variation discovery and genotyping
Alkan, C., Coe, B. P., & Eichler, E. E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2958 · Cited by 1,630 · see citing works
Self-citationComparison of Next-Generation Sequencing Systems
Liu, L., Li, Y., Li, S., Hu, N., He, Y., Pong, R., Lin, D., Lü, L., & Law, M. (2012) · BioMed Research International · doi:10.1155/2012/251364 · Cited by 1,605 · see citing works
“[28] constructed a map of unbalanced SVs (genomic structural variants) based on whole genome DNA sequencing data from 185 human”
BackgroundInfluentialA Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes
MacArthur, D. G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J. K., Montgomery, S. B., et al. (2012) · Science · doi:10.1126/science.1215040 · Cited by 1,272 · see citing works
Self-citationPersonal omics profiling reveals dynamic molecular and medical phenotypes
Chen, R., Mias, G. I., Li-Pook-Than, J., Jiang, L., Lam, H. Y. K., Chen, R., Miriami, E., Karczewski, K. J., Hariharan, M., Dewey, F. E., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.009 · Cited by 1,291 · see citing works
“SVs were called using: (1) paired-end mapping (Chen et al., 2009) (2) read depth (Abyzov et al., 2011), (3) split reads (Ye et al., 2009), and (4) junction mapping (Lam et al., 2010) to the breakpoint junction database from the 1000 G (Mills et al., 2011).”
MethodSelf-citationOxford Nanopore MinION Sequencing and Genome Assembly
Lu, H., Giordano, F., & Ning, Z. (2016) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2016.05.004 · Cited by 936 · see citing works
“Currently, variants of size P 50 bp in length are all considered as SVs [65–68].”
BackgroundA copy number variation map of the human genome
Zarrei, M., MacDonald, J. R., Merico, D., & Scherer, S. W. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3871 · Cited by 921 · see citing works
Resolving the complexity of the human genome using single-molecule sequencing
Chaisson, M., Huddleston, J., Dennis, M. Y., Sudmant, P. H., Malig, M., Hormozdiari, F., Antonacci, F., Surti, U., Sandstrom, R. S., Boitano, M., et al. (2014) · Nature · doi:10.1038/nature13907 · Cited by 783 · see citing works
Self-citationCNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics
Malhotra, D., & Sebat, J. (2012) · Cell · doi:10.1016/j.cell.2012.02.039 · Cited by 854 · see citing works
Rausch, T., Jones, D. T. W., Zapatka, M., Stütz, A. M., Zichner, T., Weischenfeldt, J., Jäger, N., Remke, M., Shih, D., Northcott, P. A., et al. (2012) · Cell · doi:10.1016/j.cell.2011.12.013 · Cited by 865 · see citing works
“Rearrangement Formation Mechanism Analysis Rearrangement mechanisms were inferred with BreakSeq (Lam et al., 2010), using recently described classification parameters (Mills et al., 2011).”
Multi-platform discovery of haplotype-resolved structural variation in human genomes
Chaisson, M. J. P., Sanders, A. D., Zhao, X., Malhotra, A., Porubsky, D., Rausch, T., Gardner, E. J., Rodriguez, O. L., Guo, L., Collins, R. L., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08148-z · Cited by 891 · see citing works
Self-citationStructural variant calling: the long and the short of it
Mahmoud, M., Gobet, N., Cruz-Dávalos, D. I., Mounier, N., Dessimoz, C., & Sedlazeck, F. J. (2019) · Genome Biology · doi:10.1186/s13059-019-1828-7 · Cited by 725 · see citing works
“[60, 73, 84, 85] depending on the size and type of SVs.”
BackgroundFlicek, P., Amode, M. R., Barrell, D. G., Beal, K. M., Brent, S., Carvalho‐Silva, D., Clapham, P., Coates, G. M. P., Fairley, S., Fitzgerald, S. F., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr991 · Cited by 818 · see citing works
Haplotyping germline and cancer genomes with high-throughput linked-read sequencing
Zheng, G. X. Y., Lau, B. T., Schnall-Levin, M., Jarosz, M. V., Bell, J., Hindson, C. M., Kyriazopoulou-Panagiotopoulou, S., Masquelier, D. A., Merrill, L., Terry, J. M., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3432 · Cited by 678 · see citing works
Phenotypic impact of genomic structural variation: insights from and for human disease
Weischenfeldt, J., Symmons, O., Spitz, F., & Korbel, J. O. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3373 · Cited by 648 · see citing works
De novo assembly and genotyping of variants using colored de Bruijn graphs
Iqbal, Z., Cáccamo, M., Turner, I., Flicek, P., & McVean, G. (2012) · Nature Genetics · doi:10.1038/ng.1028 · Cited by 695 · see citing works
Self-citationStructural variation in the sequencing era
Ho, S. S., Urban, A. E., & Mills, R. E. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0180-9 · Cited by 608 · see citing works
“Bg | Breakpoint confidence intervals were estimated by local reassembly in the 1000 Genomes Project phase 1 (ref.(4)) and by comparisons with highquality longread SVs(39).”
MethodSelf-citationHuang, W., Massouras, A., Inoue, Y., Peiffer, J., Ràmia, M., Tarone, A. M., Turlapati, L., Zichner, T., Zhu, D., Lyman, R. F., et al. (2014) · Genome Research · doi:10.1101/gr.171546.113 · Cited by 578 · see citing works
“Methods combining several approaches to generate a consensus variant list give a lower false positive rate than individual methods (Mills et al., 2011; Zichner et al., 2013).”
MethodHaplotype-resolved diverse human genomes and integrated analysis of structural variation
Ebert, P., Audano, P. A., Zhu, Q., Rodriguez-Martin, B., Porubsky, D., Bonder, M. J., Sulovari, A., Ebler, J., Zhou, W., Serra Mari, R., et al. (2021) · Science · doi:10.1126/science.abf7117 · Cited by 702 · see citing works
“%) now assigned to homology-based (>50 bp) mu-tationmechanisms,includingHDR,NAHR,and VNTR. Breakpointcharacterizationwithshort-readdataapparentlybiasedearlyreportstowardspecificregions,concludingthat<30%ofSVs weredrivenbyhomology-basedmutational mechanisms( 25 – 27 ).”
BackgroundSelf-citationDeininger, P. L. (2011) · Genome biology · doi:10.1186/gb-2011-12-12-236 · Cited by 652 · see citing works
Fu, J. M., Satterstrom, F. K., Peng, M., Brand, H., Collins, R. L., Dong, S., Wamsley, B., Klei, L., Wang, L., Hao, S. P., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01104-0 · Cited by 640 · see citing works
LINE-1 elements in structural variation and disease
Beck, C. R., Garcia-Perez, J. L., Badge, R. M., & Moran, J. V. (2011) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-082509-141802 · Cited by 615 · see citing works
Dynamic interactions between transposable elements and their hosts
Levin, H. L., & Moran, J. V. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3030 · Cited by 621 · see citing works
Leary, R. J., Sausen, M., Kinde, I., Papadopoulos, N., Carpten, J. D., Craig, D. W., O’Shaughnessy, J., Kinzler, K. W., Parmigiani, G., Vogelstein, B., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004742 · Cited by 634 · see citing works
A survey of tools for variant analysis of next-generation genome sequencing data
Pabinger, S., Dander, A., Fischer, M., Snajder, R., Sperk, M., Efremova, M., Krabichler, B., Speicher, M. R., Zschocke, J., & Trajanoski, Z. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs086 · Cited by 595 · see citing works
“number of independent variant callers) [145].”
Active human retrotransposons: variation and disease
Hancks, D. C., & Kazazian, H. H. (2012) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2012.02.006 · Cited by 592 · see citing works
“, 1000 genomes project [85,86,104,105]) it becomes possible to update previous estimates of germline retrotransposition frequencies (L1 ~1/100, Alu ~1/20, and SVA ~1/916) [100,103,126,127,128] and the number of insertions within the human population (3,000–10,000 L1 insertions with gene frequencies >.”
BackgroundZhao, M., Wang, Q., Wang, Q., Jia, P., & Zhao, Z. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-s11-s1 · Cited by 571 · see citing works
“Systematic comparison showed that only small overlapping SVs/CNVs are identified based on different tools in population-scale genome sequencing [59].”
BackgroundMethodInfluentialDiscovery and Statistical Genotyping of Copy-Number Variation from Whole-Exome Sequencing Depth
Fromer, M., Moran, J. L., Chambert, K., Banks, E., Bergen, S. E., Ruderfer, D. M., Handsaker, R. E., McCarroll, S. A., O’Donovan, M. C., Owen, M. J., et al. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.08.005 · Cited by 567 · see citing works
Self-citationComprehensive evaluation of structural variation detection algorithms for whole genome sequencing
Kosugi, S., Momozawa, Y., Liu, X., Terao, C. C., Kubo, M., & Kamatani, Y. (2019) · Genome biology · doi:10.1186/s13059-019-1720-5 · Cited by 502 · see citing works
“Mills et al. examined the accuracy of over-lapping calls between five methods and demonstrated that combining algorithms based on the same method increased precision, but the increase was lower than when combining algorithms based on different methods [14].”
BackgroundMethodThe pangenome of an agronomically important crop plant Brassica oleracea
Golicz, A. A., Bayer, P. E., Barker, G. C., Edger, P. P., Kim, H. R., Martinez, P. A., Chan, C. K., Severn‐Ellis, A. A., McCombie, W. R., Parkin, I. A. P., et al. (2016) · Nature Communications · doi:10.1038/ncomms13390 · Cited by 543 · see citing works
Characterizing the Major Structural Variant Alleles of the Human Genome
Audano, P. A., Sulovari, A., Graves-Lindsay, T. A., Cantsilieris, S., Sorensen, M., Welch, A. E., Dougherty, M. L., Nelson, B. J., Shah, A., Dutcher, S. K., et al. (2019) · Cell · doi:10.1016/j.cell.2018.12.019 · Cited by 492 · see citing works
Self-citationCriteria for Inference of Chromothripsis in Cancer Genomes
Korbel, J. O., & Campbell, P. J. (2013) · Cell · doi:10.1016/j.cell.2013.02.023 · Cited by 520 · see citing works
Assembly and diploid architecture of an individual human genome via single-molecule technologies
Pendleton, M., Sebra, R., Pang, A. W. C., Ummat, A., Franzén, O., Rausch, T., Stütz, A. M., Stedman, W., Anantharaman, T., Hastie, A. R., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3454 · Cited by 474 · see citing works
Roberts, A. M., Ware, J. S., Herman, D. S., Schäfer, S., Baksi, J. A., Bick, A. G., Buchan, R. J., Walsh, R., John, S., Wilkinson, S., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.3010134 · Cited by 488 · see citing works
CREST maps somatic structural variation in cancer genomes with base-pair resolution
Wang, J., Mullighan, C. G., Easton, J. B., Roberts, S., Heatley, S. L., Ma, J., Rusch, M., Chen, K., Harris, C. C., Ding, L., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1628 · Cited by 485 · see citing works
Self-citationDefining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders
Sullivan, P. F., & Geschwind, D. H. (2019) · Cell · doi:10.1016/j.cell.2019.01.015 · Cited by 452 · see citing works
Cameron, D., Schröder, J., Penington, J. S., Do, H., Molania, R., Dobrovic, A., Speed, T. P., & Papenfuss, A. T. (2017) · Genome Research · doi:10.1101/gr.222109.117 · Cited by 387 · see citing works
“When compared to the Mills et al. (2011) call set, GRIDSS was able to identify the first 1000 true positives with a false discovery rate of 7% (3% using long-read validation data), compared to the next closest method, LUMPY, at 11% (7%).”
O'Rawe, J., Jiang, T., Sun, G., Wu, Y., Wang, W., Hu, J., Bodily, P., Tian, L., Hakonarson, H. H., Johnson, W. E., et al. (2013) · Genome Medicine · doi:10.1186/gm432 · Cited by 443 · see citing works
“Although the focus of most variant-calling software has been on detecting SNVs, it is the case that large-scale structural copy number variants and small indels are known to also be a biologically relevant and prevalent form of genetic variation [40,41].”
BackgroundLarge multiallelic copy number variations in humans
Handsaker, R. E., Doren, V. V., Berman, J. R., Genovese, G., Kashin, S., Boettger, L. M., & McCarroll, S. A. (2015) · Nature Genetics · doi:10.1038/ng.3200 · Cited by 382 · see citing works
Self-citationDiscovery and genotyping of structural variation from long-read haploid genome sequence dataPreprint
Huddleston, J., Chaisson, M., Steinberg, K. M., Warren, W., Hoekzema, K., Gordon, D., Graves-Lindsay, T. A., Munson, K. M., Kronenberg, Z. N., Vives, L., et al. (2016) · Genome Research · doi:10.1101/gr.214007.116 · Cited by 376 · see citing works
“…of 2-bp increments across the genome and multiples of 3 bp within genes, con-sistentwithexpectedpatternsofdinucleotideshorttandemrepeats (STRs) and selection operating within protein-coding regions, respectively (Weber et al. 2002; Bhangale et al. 2005; Gymrek et al. 2012; Montgomery et al. 2013).”
Pinto, D., Darvishi, K., Shi, X. M., Rajan, D., Rigler, D., Fitzgerald, T. W., Lionel, A. C., Thiruvahindrapuram, B., MacDonald, J. R., Mills, R. E., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1852 · Cited by 403 · see citing works
Self-citationIntegrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics
Khurana, E., Fu, Y., Colonna, V., Mu, X. J., Kang, H. M., Lappalainen, T., Sboner, A., Lochovsky, L., Chen, J., Harmanci, A. O., et al. (2013) · Science · doi:10.1126/science.1235587 · Cited by 359 · see citing works
“Besides single-nucleotide polymorphisms (SNPs), the human genome also contains other variants, including small insertions and deletions (indels) and larger structural variants (SVs) (22).”
BackgroundSelf-citationHuman Copy Number Variation and Complex Genetic Disease
Girirajan, S., Campbell, C. D., & Eichler, E. E. (2011) · Annual Review of Genetics · doi:10.1146/annurev-genet-102209-163544 · Cited by 367 · see citing works
“Furthermore, there are new methods to obtain breakpoint resolution from sequencing read data (59, 63, 84).”
Cameron, D., Stefano, L. D., & Papenfuss, A. T. (2019) · Nature Communications · doi:10.1038/s41467-019-11146-4 · Cited by 328 · see citing works
“…were considered: despite NA12878 being the de facto standard sample for benchmarking and the publication of multiple reference call sets 7,65 – 67 , a comprehensive ‘ gold standard ’ exists only for high-con fi dence single-nucleotide polymorphisms (SNPs), indels and homozygous reference…”
BackgroundSomatic copy number mosaicism in human skin revealed by induced pluripotent stem cells
Abyzov, A. S., Mariani, J., Palejev, D., Zhang, Y., Haney, M. S., Tomasini, L., Ferrandino, A. F., Belmaker, L. R., Szekely, A. M., Wilson, M., et al. (2012) · Nature · doi:10.1038/nature11629 · Cited by 378 · see citing works
Self-citationMahmood, T., Khalid, S., Abdullah, M., Ahmed, Z., Shah, M. K. N., Ghafoor, A., & Du, X. (2019) · Cells · doi:10.3390/cells9010105 · Cited by 380 · see citing works
Global diversity, population stratification, and selection of human copy-number variation
Sudmant, P. H., Mallick, S., Nelson, B. J., Hormozdiari, F., Krumm, N., Huddleston, J., Coe, B. P., Baker, C., Nordenfelt, S., Bamshad, M., et al. (2015) · Science · doi:10.1126/science.aab3761 · Cited by 345 · see citing works
“Furthermore, comparing our dataset with other studies of CNVs (21, 27) 67-73% of calls we report are unique to our study while we capture 68-77% of previously identified CNVs (24).”
ResultSelf-citationDiscovery and genotyping of genome structural polymorphism by sequencing on a population scale
Handsaker, R. E., Korn, J. M., Nemesh, J. C., & McCarroll, S. A. (2011) · Nature Genetics · doi:10.1038/ng.768 · Cited by 338 · see citing works
Self-citationDiverse Mechanisms of Somatic Structural Variations in Human Cancer Genomes
Yang, L., Luquette, L. J., Gehlenborg, N., Xi, R., Haseley, P. S., Hsieh, C.-H., Zhang, C., Ren, X., Protopopov, A. I., Chin, L., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.010 · Cited by 338 · see citing works
“A recent assessment of SV formation (mostly focusing on deletions) in a normal human population by the 1000 Genomes Project (Mills et al., 2011) did not address the role of replication-based mechanisms.”
Genetic variation and the de novo assembly of human genomes
Chaisson, M., Wilson, R. K., & Eichler, E. E. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3933 · Cited by 337 · see citing works
Mapping and characterization of structural variation in 17,795 human genomes
Genomics, N. C. F. C. D., Abel, H. J., Larson, D. E., Regier, A. A., Chiang, C., Das, I., Kanchi, K. L., Layer, R. M., Neale, B. M., Salerno, W. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2371-0 · Cited by 310 · see citing works
AlleleSeq: analysis of allele-specific expression and binding in a network framework.
Rozowsky, J., Abyzov, A., Wang, J., Alves, P., Raha, D., Harmanci, A., Leng, J., Bjornson, R., Kong, Y., Kitabayashi, N., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.54 · Cited by 316 · see citing works
“We observe that by allowing up to two mismatches more reads (0.3% for paternal and 0.4% for maternal) align to the correct NA12878 as compared with the reference genome sequence (NCBI36).”
MethodInfluentialSelf-citationExtrachromosomal MicroDNAs and Chromosomal Microdeletions in Normal Tissues
Shibata, Y., Kumar, P., Layer, R. M., Willcox, S., Gagan, J., Griffith, J. D., & Dutta, A. (2012) · Science · doi:10.1126/science.1213307 · Cited by 336 · see citing works
Mechanisms for recurrent and complex human genomic rearrangements
Liu, P., Carvalho, C. M. B., Hastings, P., & Lupski, J. R. (2012) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2012.02.012 · Cited by 344 · see citing works
“9 (76%) 2–30 [70 ] 8 (52%) 2–30 [71 ] 9 (30%) 2–20 [72 ] 6 (66%) 2–50 [3 ]”
New Gene Evolution: Little Did We Know
Long, M., VanKuren, N. W., Chen, S., & Vibranovski, M. D. (2013) · Annual Review of Genetics · doi:10.1146/annurev-genet-111212-133301 · Cited by 307 · see citing works
“In addition, next-generation sequencing and microarrays have identified more than 1,200 partial and 600 complete gene duplications/deletions in 179 individual human genomes relative to the reference genome (101, 125).”
BackgroundCopy number variation of individual cattle genomes using next-generation sequencingPreprint
Bickhart, D. M., Hou, Y., Schroeder, S., Alkan, C., Mf, C., Matukumalli, L. K., Song, J., Schnabel, R., Ventura, M., Taylor, J. F., et al. (2012) · Genome Research · doi:10.1101/gr.133967.111 · Cited by 313 · see citing works
“As detected in previous simulations of increasing coverage (Alkan et al. 2009; Waszak et al. 2010; Mills et al. 2011), a genome coverage greater than fourfold is sufficient for the RD detections of CNVs.”
BackgroundMethodInfluentialSelf-citationRecombination initiation maps of individual human genomes
Pratto, F., Brick, K., Khil, P., Smagulova, F., Petukhova, G. V., & Camerini-Otero, R. D. (2014) · Science · doi:10.1126/science.1256442 · Cited by 295 · see citing works
“Meiotic recombination has been implicated as a potential source of gross structural variants (SVs) (55) therefore we examined the association between meiotic DSBs and SVs.”
BackgrounddbVar and DGVa: public archives for genomic structural variation
Lappalainen, I., Lopez, J. R., Skipper, L. M., Hefferon, T. W., Spalding, D., Garner, J., Chen, C., Maguire, M., Corbett, M., Zhou, G., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1213 · Cited by 310 · see citing works
Genomic Analysis in the Age of Human Genome Sequencing
Lappalainen, T., Scott, A. J., Brandt, M. K., & Hall, I. M. (2019) · Cell · doi:10.1016/j.cell.2019.02.032 · Cited by 298 · see citing works
A comprehensive map of mobile element insertion polymorphisms in humans
Stewart, C., Kural, D., Strömberg, M. P., Walker, J. A., Konkel, M. K., Stütz, A. M., Urban, A. E., Grubert, F., Lam, H. Y. K., Lee, W.-P., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002236 · Cited by 307 · see citing works
Self-citationDetection of Genomic Structural Variants from Next-Generation Sequencing Data
Tattini, L., D’Aurizio, R., & Magi, A. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00092 · Cited by 271 · see citing works
“…Genomes Project applied methods based on all of the four approaches available for the detection of SVs, reporting false discovery rates ranging from 10 to 89%, remarkable differences in terms of genomic regions discovered, size range, and breakpoint precision (Mills et al., 2011; Teo et al., 2012).”
BackgroundMethodSequence-based characterization of structural variation in the mouse genome
Yalcin, B., Wong, K., Agam, A., Goodson, M., Keane, T. M., Gan, X., Nellåker, C., Goodstadt, L., Nicod, J., Bhomra, A., et al. (2011) · Nature · doi:10.1038/nature10432 · Cited by 301 · see citing works
Recent advances of genome mapping and marker‐assisted selection in aquaculture
Yue, G. H. (2013) · Fish and Fisheries · doi:10.1111/faf.12020 · Cited by 293 · see citing works
“Next-generation sequencing enables the rapid identification of CNVs (Mills et al. 2011).”
BackgroundProperties and rates of germline mutations in humans
Campbell, C. D., & Eichler, E. E. (2013) · Trends in Genetics · doi:10.1016/j.tig.2013.04.005 · Cited by 277 · see citing works
Human Structural Variation: Mechanisms of Chromosome Rearrangements
Weckselblatt, B., & Rudd, M. K. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.05.010 · Cited by 257 · see citing works
Natural genetic variation caused by small insertions and deletions in the human genomePreprint
Mills, R. E., Pittard, W. S., Mullaney, J. M., Farooq, U., Creasy, T. H., Mahurkar, A., Kemeza, D. M., Strassler, D. S., Ponting, C. P., Webber, C., et al. (2011) · Genome Research · doi:10.1101/gr.115907.110 · Cited by 264 · see citing works
“We compared these 7245 variants to: (1) SVs in the Database of Genomic Variants (Iafrate et al. 2004), (2) SVs that were reported recently by Conrad et al. (2010a,b), and (3) SVs that were reported recently by The 1000 Genomes Project Consortium (2010) (Mills et al. 2011).”
BackgroundMethodInfluentialSelf-citationWatson, C. T., Steinberg, K. M., Huddleston, J., Warren, R. M., Malig, M., Schein, J. E., Willsey, A. J., Joy, J. B., Scott, J. K., Graves, T., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.03.004 · Cited by 225 · see citing works
Chiang, C., Jacobsen, J. C., Ernst, C., Hanscom, C., Heilbut, A. M., Blumenthal, I., Mills, R. E., Kirby, A. W., Lindgren, A. M., Rudiger, S. R., et al. (2012) · Nature Genetics · doi:10.1038/ng.2202 · Cited by 252 · see citing works
Self-citationKoren, A., Polak, P., Nemesh, J., Michaelson, J. J., Sebat, J., Sunyaev, S., & Mccarroll, S. (2012) · American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.10.018 · Cited by 246 · see citing works
Teo, S. M., Yudi Pawitan, Y., Ku, C., Chia, K. S., & Salim, A. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts535 · Cited by 237 · see citing works
Genetic and epigenetic stability of human pluripotent stem cells
Lund, R., Närvä, E., & Lahesmaa, R. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3271 · Cited by 243 · see citing works
Freeling, M., Woodhouse, M. R., Subramaniam, S., Turco, G. M., Lisch, D. R., & Schnable, J. C. (2012) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2012.01.015 · Cited by 218 · see citing works
Collins, R. L., Brand, H., Redin, C. E., Hanscom, C., Antolik, C. W., Stone, M. R., Glessner, J., Mason, T., Pregno, G., Dorrani, N., et al. (2017) · Genome biology · doi:10.1186/s13059-017-1158-6 · Cited by 203 · see citing works
“Routine detection of large inversion variation has historically been a challenge for high-throughput technologies, including siWGS [1, 50, 55 – 57].”
Xi, R., Hadjipanayis, A. G., Luquette, L. J., Kim, T., Lee, E., Zhang, J., Johnson, M. D., Muzny, D. M., Wheeler, D. A., Gibbs, R. A., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110574108 · Cited by 217 · see citing works
An Evaluation of Copy Number Variation Detection Tools from Whole-Exome Sequencing Data
Tan, R., Wang, Y., Kleinstein, S. E., Liu, Y., Zhu, X., Guo, H., Jiang, Q., Allen, A. S., & Zhu, M. (2014) · Human Mutation · doi:10.1002/humu.22537 · Cited by 217 · see citing works
“In recent years, next-generation sequencing (NGS) technology has been widely employed to detect CNVs in large-scale genetic research studies [Medvedev et al., 2009; Mills et al., 2011].”
BackgroundMethodCopy number polymorphism in plant genomes
Żmieńko, A., Samelak-Czajka, A., Kozłowski, P., & Figlerowicz, M. (2013) · Theoretical and Applied Genetics · doi:10.1007/s00122-013-2177-7 · Cited by 199 · see citing works
“The NGS approach has been proven effective for the discovery and mapping of structural variants at nucleotide-resolution in plants, animals and humans (Daines et al. 2009; Yoon et al. 2009; Mills et al. 2011; Cao et al. 2011; Bickhart et al. 2012).”
BackgroundMethodMetAMOS: a modular and open source metagenomic assembly and analysis pipeline
Treangen, T. J., Koren, S., Sommer, D. D., Liu, B., Astrovskaya, I., Ondov, B., Darling, A. E., Phillippy, A. M., & Pop, M. (2013) · Genome biology · doi:10.1186/gb-2013-14-1-r2 · Cited by 225 · see citing works
“These studies have been made possible by dramatic recent advances in high-throughput sequencing technologies, the same technologies that have revolutionized the study of individual genomes, such as recent efforts to reconstruct the genomes of thousands of humans [12].”
BackgroundLow-pass whole-genome sequencing in clinical cytogenetics: a validated approach
Dong, Z., Zhang, J., Hu, P., Chen, H., Xu, J., Tian, Q., Meng, L., Ye, Y., Wang, J., Zhang, M., et al. (2016) · Genetics in Medicine · doi:10.1038/gim.2015.199 · Cited by 207 · see citing works
Copy number variations in neurodevelopmental disorders
Grayton, H. M., Fernandes, C., Rujescu, D., & Collier, D. A. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.07.005 · Cited by 210 · see citing works
Whole-genome sequencing of Oryza brachyantha reveals mechanisms underlying Oryza genome evolution
Chen, J., Huang, Q., Gao, D., Wang, J., Lang, Y., Li, B., Li, B., Bai, Z., Goicoechea, J. L., Liang, C., et al. (2013) · Nature Communications · doi:10.1038/ncomms2596 · Cited by 212 · see citing works
“The mechanisms of repair of double-strand breaks through non-homologous recombination or non-allelic homologous recombination had important roles in structure variations of human genomes 37,38 .”
Chromothripsis: A New Mechanism for Rapid Karyotype Evolution.
Leibowitz, M. L., Zhang, C.-Z., & Pellman, D. (2015) · Annual Review of Genetics · doi:10.1146/annurev-genet-120213-092228 · Cited by 195 · see citing works
Genetic Variation, Comparative Genomics, and the Diagnosis of Disease
Eichler, E. E. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1809315 · Cited by 181 · see citing works
The role of microhomology in genomic structural variation
Ottaviani, D., LeCain, M., & Sheer, D. (2014) · Trends in Genetics · doi:10.1016/j.tig.2014.01.001 · Cited by 188 · see citing works
Watson, C. T., & Breden, F. J. (2012) · Genes and Immunity · doi:10.1038/gene.2012.12 · Cited by 175 · see citing works
Wilson, T. E., Arlt, M. F., Park, S. H., Rajendran, S., Paulsen, M. T., Ljungman, M. E., & Glover, T. W. (2014) · Genome Research · doi:10.1101/gr.177121.114 · Cited by 184 · see citing works
“…germline, predominant alterations are kb- toMb-scale copy number variants (CNVs), including simple deletions and tandem duplications, as well as inversions and more complex intrachromosomal rearrangements with multiple breakpoint junctions (Conrad et al. 2010b; Mills et al. 2011; Liu et al. 2012).”
BackgroundNovel variation and de novo mutation rates in population-wide de novo assembled Danish trios
Besenbacher, S., Liu, S. M., Izarzugaza, J. M. G., Grove, J., Belling, K., Bork‐Jensen, J., Huang, S., Als, T. D., Li, S., Yadav, R., et al. (2015) · Nature Communications · doi:10.1038/ncomms6969 · Cited by 173 · see citing works
“(5) contig building where we remove tips and merge bubbles whenever the difference between the two paths is o3 bp, resolve repeats in the de Bruijn graph and output the consensus sequence.”
InfluentialNewman, S., Hermetz, K. E., Weckselblatt, B., & Rudd, M. K. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.12.017 · Cited by 185 · see citing works
Prevalence and properties of intragenic copy-number variation in Mendelian disease genes
Truty, R., Paul, J. S., Kennemer, M. I., Lincoln, S. E., Olivares, E. C., Nussbaum, R. L., & Aradhya, S. (2018) · Genetics in Medicine · doi:10.1038/s41436-018-0033-5 · Cited by 185 · see citing works
Clinical utility of circulating tumor DNA for molecular assessment in pancreatic cancer
Takai, E., Totoki, Y., Nakamura, H., Morizane, C., Nara, S., Hama, N., Suzuki, M., Furukawa, E., Kato, M., Hayashi, H., et al. (2015) · Scientific Reports · doi:10.1038/srep18425 · Cited by 173 · see citing works
BreakDancer: Identification of Genomic Structural Variation from Paired‐End Read Mapping
Fan, X., Abbott, T. E., Larson, D. E., & Chen, K. (2014) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1506s45 · Cited by 174 · see citing works
“It has been widely used in various projects, including the 1000 Genomes Project and The Cancer Genome Atlas (TCGA) (Ding et al., 2010; Mills et al., 2011; Welch et al., 2012).”
MethodSelf-citationA decade of structural variants: description, history and methods to detect structural variation
Escaramís, G., Docampo, E., & Rabionet, R. (2015) · Briefings in Functional Genomics · doi:10.1093/bfgp/elv014 · Cited by 170 · see citing works
“the 1000 Genomes project undertook a thorough evaluation [44] of several SVs detection methods and found a wide variability in sensitivity and specificity.”
BackgroundInfluentialMa, Z., Zhang, Y., Wu, L., Zhang, G., Sun, Z., Li, Z., Jiang, Y., Ke, H., Chen, B., Liu, Z., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00910-2 · Cited by 176 · see citing works
- Authors
- 1000 Genomes Project, Mills, R. E., Walter, K., Stewart, C., Handsaker, R. E., Chen, K., Alkan, C., Abyzov, A., Yoon, S. C., Ye, K., Cheetham, R. K., Chinwalla, A., Conrad, D. F., Fu, Y., Grubert, F., Hajirasouliha, I., Hormozdiari, F., Iakoucheva, L. M., Iqbal, Z., Kang, S., Kidd, J. M., Konkel, M. K., Korn, J., Khurana, E., Kural, D., Lam, H. Y. K., Leng, J., Li, R., Li, Y., Lin, C.-Y., Luo, R., Mu, X. J., Nemesh, J., Peckham, H. E., Rausch, T., Scally, A., Shi, X., Stromberg, M. P., Stütz, A. M., Urban, A. E., Walker, J. A., Wu, J., Zhang, Y., Zhang, Z. D., Batzer, M. A., Ding, L., Marth, G. T., McVean, G., Sebat, J., Snyder, M., Wang, J., Ye, K., Eichler, E. E., Gerstein, M. B., Hurles, M. E., Lee, C., McCarroll, S. A., & Korbel, J. O.
- Affiliations
- Brigham and Women's Hospital (US)
- Boston College (US)
- Broad Institute (US)
- University of Washington (US)
- Howard Hughes Medical Institute (US)
- Yale University (US)
- Leiden University Medical Center (NL)
- Washington University in St. Louis (US)
- Wellcome Sanger Institute (GB)
- Stanford University (US)
- Simon Fraser University (CA)
- Centre for Human Genetics (GB)
- Louisiana State University (US)
- BGI Group (China) (CN)
- European Molecular Biology Laboratory (DE)
- University of California San Diego (US)
- Corresponding author
- Korbel, Jan O.
- ORCID
- Mills, Ryan E.
- Walter, Klaudia
- Stewart, Chip
- Handsaker, Robert E.
- Chen, Ken
- Alkan, Can
- Abyzov, Alexej
- Ye, Kai
- Chinwalla, Asif
- Conrad, Donald F.
- Hajirasouliha, Iman
- Hormozdiari, Fereydoun
- Iakoucheva, Lilia M.
- Iqbal, Zamin
- Kidd, Jeffrey M.
- Konkel, Miriam K.
- Korn, Joshua
- Khurana, Ekta
- Kural, Deniz
- Lam, Hugo Y. K.
- Leng, Jing
- Li, Ruiqiang
- Li, Yingrui
- Lin, Chang-Yun
- Luo, Ruibang
- Mu, Xinmeng Jasmine
- Rausch, Tobias
- Scally, Aylwyn
- Shi, Xinghua
- Stütz, Adrian M.
- Urban, Alexander Eckehart
- Zhang, Zhengdong D.
- Batzer, Mark A.
- Ding, Li
- McVean, Gil
- Sebat, Jonathan
- Snyder, Michael
- Wang, Jun
- Ye, Kenny
- Eichler, Evan E.
- Gerstein, Mark B.
- Hurles, Matthew E.
- Lee, Charles
- McCarroll, Steven A.
- Korbel, Jan O.
- Venue
- Nature
- Published
- 2011-02
- Volume
- 470
- Issue
- 7332
- Pages
- 59-65
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3077050
- OpenAlex
- W2116126626
- Cited by
- 1,140
- References
- 49
- Citations by year
- 2026: 14 · 2025: 37 · 2024: 54 · 2023: 33 · 2022: 41 · 2021: 62 · 2020: 61 · 2019: 68 · 2018: 55 · 2017: 70 · 2016: 81 · 2015: 113 · 2014: 117 · 2013: 117 · 2012: 128
- FWCI
- 88.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Civil War Book Review (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- eScholarship (California Digital Library) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- PMC
- Funders
- Wellcome Trust (085532, 062023, 077009, 077192, 077014)
- National Institute for Health and Care Research (NF-SI-0508-10212)
- National Institutes of Health (5p41hg004221-03)
- National Institute on Alcohol Abuse and Alcoholism (R21AA022707)
- National Institute of Mental Health (R01MH091350)
- National Human Genome Research Institute (U54HG003067, U54HG003273, R01HG004719, U01HG005209, RC2HG005552, P41-HG004221)
- National Institute of General Medical Sciences (R01GM059290, R01GM081533)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- copy number variation, structural variants, deletion mapping, tandem duplication, insertion, gene deletion, human genetic variation
- MeSH terms
- Genetics, Population, Genotype, Humans, Reproducibility of Results, Genome, Human, Mutagenesis, Insertional, Sequence Deletion, Sequence Analysis, DNA, Genetic Predisposition to Disease, Gene Duplication, Genomics, DNA Copy Number Variations
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review