The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
A haplotype map of the human genome
Open accessAbstract
Inherited genetic variation has a critical but as yet largely uncharacterized role in human disease. Here we report a public database of common variation in the human genome: more than one million single nucleotide polymorphisms (SNPs) for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted. These data document the generality of recombination hotspots, a block-like structure of linkage disequilibrium and low haplotype diversity, leading to substantial correlations of SNPs with many of their neighbours. We show how the HapMap resource can guide the design and analysis of genetic association studies, shed light on structural variation and recombination, and identify loci that may have been subject to natural selection during human evolution.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Haplotype blocks vary somewhat among human populations — they tend to be somewhat shorter in African populations15,20,21.”
From Linkage disequilibrium--understanding the evolutionary past and mapping the medical future. (2008) · cites this paper as [20]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The frequency of the Asn (risk) allele varies considerably among populations (0%-60%) (10,14).”
From The N342S MYLIP polymorphism is associated with high total cholesterol and increased LDL receptor degradation in humans (2011) · cites this paper as [10]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“which in its first generation identified over 1 million SNPs in humans and characterized the LD in 269 individuals in four ethnically different populations (European, Han Chinese, Japanese and Yoruban)20.”
From Linkage disequilibrium--understanding the evolutionary past and mapping the medical future. (2008) · cites this paper as [20]
The cited source says what the claim attributes to it.
In the citing paper
“As patterns of linkage disequilibrium (LD) vary among populations with different demographic histories (10), studies in a different population than the discovery population, such as Mexican subjects, can assist in fine-mapping the actual susceptibility variants (i.e., trans-ethnic fine-mapping).”
From The N342S MYLIP polymorphism is associated with high total cholesterol and increased LDL receptor degradation in humans (2011) · cites this paper as [10]
The cited source says what the claim attributes to it.
In the citing paper
“As patterns of linkage disequilibrium (LD) vary among populations with different demographic histories (10), studies in a different population than the discovery population, such as Mexican subjects, can assist in fine-mapping the actual susceptibility variants (i.e., trans-ethnic fine-mapping).”
From The N342S MYLIP polymorphism is associated with high total cholesterol and increased LDL receptor degradation in humans (2011) · cites this paper as [10]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“These validated the HLA association but showed no significant linkage to loci outside the MHC.”
From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [25]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Accordingly, the pairwise LD and the allele frequency of N342S are significantly different between European and Mexican populations (10).”
From The N342S MYLIP polymorphism is associated with high total cholesterol and increased LDL receptor degradation in humans (2011) · cites this paper as [10]
Experimental — accuracy not yet measuredIn the citing paper
“On the basis of International HapMap data for the CEU sample (Utah residents with ancestry from northern and western Europe), 29 these two SNPs are in modest linkage disequilibrium with one another ( ).Al-2 R p 0.35”
From A Genomewide Association Study of Skin Pigmentation in a South Asian Population (2007) · cites this paper as [29]
In the citing paper
“All three of the SNPs are essentially monomorphic in African and East Asian populations and thus are unlikely to contribute significantly to skin-pigmentation variation within those groups.13,25,29,30”
From A Genomewide Association Study of Skin Pigmentation in a South Asian Population (2007) · cites this paper as [29]
In the citing paper
“Using data from the human HapMap project (8), they observed that the alternate alleles of the nsSNP (rs1426654) in human SLC24A5 were present at very different frequencies in populations of African and European ancestry.”
From SLC24A5 encodes a trans-Golgi network protein with potassium-dependent sodium-calcium exchange activity that regulates human epidermal melanogenesis (2008) · cites this paper as [8]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Self-citationThe Structure of Haplotype Blocks in the Human Genome
Gabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., Higgins, J., DeFelice, M., Lochner, A., Faggart, M., et al. (2002) · Science · doi:10.1126/science.1069424 · Cited by 5,863
Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease
Hugot, J.-P., Chamaillard, M., Zouali, H., Lesage, S., Cézard, J.-P., Belaiche, J., Almer, S., Tysk, C., O'Morain, C. A., Gassull, M., et al. (2001) · Nature · doi:10.1038/35079107 · Cited by 5,591
A frameshift mutation in NOD2 associated with susceptibility to Crohn's disease
Ogura, Y., Bonen, D. K., Inohara, N., Nicolae, D. L., Chen, F. F., Ramos, R., Britton, H., Moran, T., Karaliuskas, R., Duerr, R. H., et al. (2001) · Nature · doi:10.1038/35079114 · Cited by 5,030
Complement factor H polymorphism in age-related macular degeneration
Klein, R. J., Zeiss, C., Chew, E. Y., Tsai, J.-Y., Sackler, R. S., Haynes, C., Henning, A. K., SanGiovanni, J. P., Mane, S. M., Mayne, S. T., et al. (2005) · Science · doi:10.1126/science.1109557 · Cited by 4,492
α-Synuclein Locus Triplication Causes Parkinson's Disease
Singleton, A. B., Farrer, M., Johnson, J., Singleton, A., Hague, S., Kachergus, J., Hulihan, M., Peuralinna, T., Dutra, A., Nussbaum, R., et al. (2003) · Science · doi:10.1126/science.1090278 · Cited by 4,383
Identification of the Cystic Fibrosis Gene: Genetic Analysis
Kerem, B.-S., Rommens, J. M., Buchanan, J. A., Markiewicz, D., Cox, T. K., Chakravarti, A., Buchwald, M., & Tsui, L.-C. (1989) · Science · doi:10.1126/science.2570460 · Cited by 4,142
Research works printed but not linked: 2
- Lechler, R. & Warrens, A. HLA in Health and Disease 2nd edn (Academic Press, San Diego, California, 2005)
- McCarroll, S. et al. Common deletion variants in the human genome. Nature Genet. (in the press)
Cited by
Sorted by citations
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
The UK Biobank resource with deep phenotyping and genomic data
Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0579-z · Cited by 8,876
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationA map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
Self-citationTurnbaugh, P. J., Ley, R. E., Hamady, M., Fraser-Liggett, C. M., Knight, R., & Gordon, J. I. (2007) · Nature · doi:10.1038/nature06244 · Cited by 6,091
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Self-citationA second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
Self-citationAccurate whole human genome sequencing using reversible terminator chemistry
Bentley, D. R., Balasubramanian, S., Swerdlow, H. P., Smith, G. P., Milton, J., Brown, C. G., Hall, K. P., Evers, D. J., Barnes, C. L., Bignell, H. R., et al. (2008) · Nature · doi:10.1038/nature07517 · Cited by 3,684
Robust relationship inference in genome-wide association studies
Manichaikul, A., Mychaleckyj, J. C., Rich, S. S., Daly, K., Sale, M., & Chen, W.-M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq559 · Cited by 3,541
An Expanded View of Complex Traits: From Polygenic to Omnigenic
Boyle, E. A., Li, Y. I., & Pritchard, J. K. (2017) · Cell · doi:10.1016/j.cell.2017.05.038 · Cited by 2,851
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
Self-citationA genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993
Annotation of functional variation in personal genomes using RegulomeDB
Boyle, A. P., Hong, E. L., Hariharan, M., Cheng, Y., Schaub, M. A., Kasowski, M., Karczewski, K. J., Park, J., Hitz, B. C., Weng, S., et al. (2012) · Genome Research · doi:10.1101/gr.137323.112 · Cited by 2,722
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
A new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609
Visscher, P. M., Brown, M. A., McCarthy, M. I., & Yang, J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.11.029 · Cited by 2,425
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
Self-citationGenome-wide association study identifies novel breast cancer susceptibility loci
Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D. P., Thompson, D., Ballinger, D. G., Struewing, J. P., Morrison, J., Field, H., Luben, R., et al. (2007) · Nature · doi:10.1038/nature05887 · Cited by 2,319
Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
Taliun, D., Harris, D. N., Kessler, M. D., Carlson, J., Szpiech, Z. A., Torres, R., Taliun, S. A. G., Corvelo, A., Gogarten, S. M., Kang, H. M., et al. (2021) · Nature · doi:10.1038/s41586-021-03205-y · Cited by 2,213
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Genome-wide detection and characterization of positive selection in human populations
The International HapMap Consortium, Sabeti, P. C., Varilly, P., Fry, B., Lohmueller, J., Hostetter, E., Cotsapas, C., Xie, X., Byrne, E. H., McCarroll, S. A., et al. (2007) · Nature · doi:10.1038/nature06250 · Cited by 2,131
Self-citationSLCO1B1 Variants and Statin-Induced Myopathy — A Genomewide Study
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801936 · Cited by 2,043
Genomewide Association Analysis of Coronary Artery Disease
Samani, N. J., Erdmann, J., Hall, A. S., Hengstenberg, C., Mangino, M., Mayer, B., Dixon, R. J., Meitinger, T., Braund, P., Wichmann, H.-E., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072366 · Cited by 2,044
Targeted capture and massively parallel sequencing of 12 human exomes
Ng, S. B., Turner, E. H., Robertson, P. D., Flygare, S. D., Bigham, A. W., Lee, C., Shaffer, T., Wong, M., Bhattacharjee, A., Eichler, E. E., et al. (2009) · Nature · doi:10.1038/nature08250 · Cited by 2,030
Genome-wide association studies
Uffelmann, E., Huang, Q. Q., Munung, N. S., de Vries, J., Okada, Y., Martin, A. R., Martin, H. C., Lappalainen, T., & Posthuma, D. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00056-9 · Cited by 1,849
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Li, Y., Willer, C. J., Ding, J., Scheet, P., & Abecasis, G. R. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20533 · Cited by 1,843
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
Risk Alleles for Multiple Sclerosis Identified by a Genomewide Study
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa073493 · Cited by 1,746
Self-citationScuteri, A., Sanna, S., Chen, W.-M., Uda, M., Albai, G., Strait, J., Najjar, S., Nagaraja, R., Orrú, M., Usala, G., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030115 · Cited by 1,724
Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.
Slatkin, M. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2361 · Cited by 1,614
Convergent adaptation of human lactase persistence in Africa and Europe
Tishkoff, S. A., Reed, F. A., Ranciaro, A., Voight, B. F., Babbitt, C. C., Silverman, J. S., Powell, K., Mortensen, H. M., Hirbo, J. B., Osman, M., et al. (2007) · Nature Genetics · doi:10.1038/ng1946 · Cited by 1,615
Evolution and functional impact of rare coding variation from deep sequencing of human exomes
Tennessen, J. A., Bigham, A. W., O’Connor, T. D., Fu, W., Kenny, E. E., Gravel, S., McGee, S., Do, R., Liu, X., Jun, G., et al. (2012) · Science · doi:10.1126/science.1219240 · Cited by 1,613
Newly identified loci that influence lipid concentrations and risk of coronary artery disease
Willer, C. J., Sanna, S., Jackson, A. U., Scuteri, A., Bonnycastle, L. L., Clarke, R., Heath, S. C., Timpson, N. J., Najjar, S. S., Stringham, H. M., et al. (2008) · Nature Genetics · doi:10.1038/ng.76 · Cited by 1,585
Genomewide Association Studies and Assessment of the Risk of Disease
Manolio, T. A. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0905980 · Cited by 1,512
Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes
Finland, G. O. T. 1. D. I., Todd, J. A., the Wellcome Trust Case Control Consortium, Walker, N. M., Cooper, J. D., Smyth, D. J., Downes, K., Plagnol, V., Bailey, R., Nejentsev, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2068 · Cited by 1,456
Self-citationGenetic Mapping in Human Disease
Altshuler, D., Daly, M. J., & Lander, E. S. (2008) · Science · doi:10.1126/science.1156409 · Cited by 1,452
Data quality control in genetic case-control association studies
Anderson, C. A., Pettersson, F. H., Clarke, G. M., Cardon, L. R., Morris, A. P., & Zondervan, K. T. (2010) · Nature Protocols · doi:10.1038/nprot.2010.116 · Cited by 1,318
Thorleifsson, G., Walters, G. B., Gudbjartsson, D. F., Steinthorsdottir, V., Sulem, P., Helgadottir, A., Styrkarsdottir, U., Gretarsdottir, S., Thorlacius, S., Jonsdottir, I., et al. (2009) · Nature Genetics · doi:10.1038/ng.274 · Cited by 1,375
Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants
Wellcome Trust Case Control Consortium, & The Australo-Anglo-American Spondylitis Consortium (TASC) (2007) · Nature Genetics · doi:10.1038/ng.2007.17 · Cited by 1,374
Replicating genotype–phenotype associations
NCI-NHGRI Working Group on Replication in Association Studies, Chanock, S. J., Manolio, T., Boehnke, M., Boerwinkle, E., Hunter, D. J., Thomas, G., Hirschhorn, J. N., Abecasis, G., Altshuler, D., et al. (2007) · Nature · doi:10.1038/447655a · Cited by 1,352
Ovarian aging: mechanisms and clinical consequences
Broekmans, F. J., Soules, M. R., & Fauser, B. C. (2009) · Endocrine Reviews · doi:10.1210/er.2009-0006 · Cited by 1,248
Wellcome Trust Case Control Consortium, Ferreira, M. A. R., O'Donovan, M. C., Meng, Y. A., Jones, I. R., Ruderfer, D. M., Jones, L., Fan, J., Kirov, G., Perlis, R. H., et al. (2008) · Nature Genetics · doi:10.1038/ng.209 · Cited by 1,237
Copy number variation in human health, disease, and evolution
Zhang, F., Gu, W., Hurles, M. E., & Lupski, J. R. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164217 · Cited by 1,207
Positive Natural Selection in the Human Lineage
Sabeti, P. C., Schaffner, S. F., Fry, B., Lohmueller, J., Varilly, P., Shamovsky, O., Palma, A., Mikkelsen, T. S., Altshuler, D., & Lander, E. S. (2006) · Science · doi:10.1126/science.1124309 · Cited by 1,157
Paired-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
Schneider, V. A., Graves-Lindsay, T., Howe, K., Bouk, N., Chen, H.-C., Kitts, P. A., Murphy, T. D., Pruitt, K. D., Thibaud-Nissen, F., Albracht, D., et al. (2017) · Genome Research · doi:10.1101/gr.213611.116 · Cited by 1,193
Chapter 11: Genome-wide association studies
Bush, W. S., & Moore, J. H. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002822 · Cited by 1,171
Rare-Variant Association Analysis: Study Designs and Statistical Tests
Lee, S., Abecasis, G. R., Boehnke, M., & Lin, X. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.06.009 · Cited by 1,042
Mapping 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
Ashley, E. A. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.86 · Cited by 1,116
Cargill, M., Schrodi, S. J., Chang, M., Garcia, V. E., Brandon, R., Callis, K. P., Matsunami, N., Ardlie, K. G., Civello, D., Catanese, J. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/511051 · Cited by 1,086
Human genetic variation and its contribution to complex traits
Frazer, K. A., Murray, S. S., Schork, N. J., & Topol, E. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2554 · Cited by 1,073
A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
Steinthorsdottir, V., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Jonsdottir, T., Walters, G. B., Styrkarsdottir, U., Gretarsdottir, S., Emilsson, V., Ghosh, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2043 · Cited by 1,072
Million Veteran Program: A mega-biobank to study genetic influences on health and disease
Gaziano, J. M., Concato, J., Brophy, M., Fiore, L., Pyarajan, S., Breeling, J., Whitbourne, S., Deen, J., Shannon, C., Humphries, D., et al. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2015.09.016 · Cited by 1,055
Initial impact of the sequencing of the human genome
Lander, E. S. (2011) · Nature · doi:10.1038/nature09792 · Cited by 1,044
Genotype Imputation with Thousands of Genomes
Howie, B., Marchini, J., & Stephens, M. (2011) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.111.001198 · Cited by 966
Genetic Associations with Valvular Calcification and Aortic Stenosis
Thanassoulis, G., Campbell, C. Y., Owens, D. S., Smith, J. G., Smith, A. V., Peloso, G. M., Kerr, K. F., Pechlivanis, S., Budoff, M. J., Harris, T. B., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1109034 · Cited by 1,008
An RNA gene expressed during cortical development evolved rapidly in humans
Pollard, K. S., Salama, S. R., Lambert, N., Lambot, M.-A., Coppens, S., Pedersen, J. S., Katzman, S., King, B., Onodera, C., Siepel, A., et al. (2006) · Nature · doi:10.1038/nature05113 · Cited by 1,005
Transcriptional Regulatory Elements in the Human Genome
Maston, G. A., Evans, S. K., & Green, M. R. (2006) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.7.080505.115623 · Cited by 937
Li, Y., Willer, C., Sanna, S., & Abecasis, G. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164242 · Cited by 990
Schurch, N. J., Schofield, P., Gierliński, M., Cole, C., Sherstnev, A., Singh, V., Wrobel, N., Gharbi, K., Simpson, G. G., Owen-Hughes, T., et al. (2016) · RNA · doi:10.1261/rna.053959.115 · Cited by 966
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
Variants conferring risk of atrial fibrillation on chromosome 4q25
Gudbjartsson, D. F., Arnar, D. O., Helgadottir, A., Gretarsdottir, S., Holm, H., Sigurdsson, A., Jonasdottir, A., Baker, A., Thorleifsson, G., Kristjansson, K., et al. (2007) · Nature · doi:10.1038/nature06007 · Cited by 955
SNP detection for massively parallel whole-genome resequencing
Li, R., Li, Y., Fang, X., Yang, H., Wang, J., Kristiansen, K., & Wang, J. (2009) · Genome Research · doi:10.1101/gr.088013.108 · Cited by 944
The PhenX Toolkit: get the most from your measures
Hamilton, C. M., Strader, L. C., Pratt, J. G., Maiese, D., Hendershot, T., Kwok, R. K., Hammond, J. A., Huggins, W., Jackman, D., Pan, H., et al. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr193 · Cited by 889
A 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
A HapMap harvest of insights into the genetics of common disease
Manolio, T. A., Brooks, L. D., & Collins, F. S. (2008) · Journal of Clinical Investigation · doi:10.1172/jci34772 · Cited by 889
CNVs: 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
Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene
Alarcón, M., Abrahams, B. S., Stone, J. L., Duvall, J. A., Perederiy, J. V., Bomar, J. M., Sebat, J., Wigler, M., Martin, C. L., Ledbetter, D. H., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.09.005 · Cited by 818
TRAF1–C5 as a Risk Locus for Rheumatoid Arthritis — A Genomewide Study
Plenge, R. M., Seielstad, M., Padyukov, L., Lee, A. T., Remmers, E. F., Ding, B., Liew, A., Khalili, H., Chandrasekaran, A., Davies, L. R. L., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa073491 · Cited by 823
Pe'er, I., Yelensky, R., Altshuler, D., & Daly, M. J. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20303 · Cited by 783
Abundant quantitative trait loci exist for DNA methylation and gene expression in human brain
Gibbs, J. R., van der Brug, M. P., Hernandez, D. G., Traynor, B. J., Nalls, M. A., Lai, S.-L., Arepalli, S., Dillman, A., Rafferty, I. P., Troncoso, J., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000952 · Cited by 769
Korn, J. M., Kuruvilla, F. G., McCarroll, S. A., Wysoker, A., Nemesh, J., Cawley, S., Hubbell, E., Veitch, J., Collins, P. J., Darvishi, K., et al. (2008) · Nature Genetics · doi:10.1038/ng.237 · Cited by 783
Validating therapeutic targets through human genetics
Plenge, R. M., Scolnick, E. M., & Altshuler, D. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4051 · Cited by 712
de Bakker, P. I. W., McVean, G., Sabeti, P. C., Miretti, M. M., Green, T., Marchini, J., Ke, X., Monsuur, A. J., Whittaker, P., Delgado, M., et al. (2006) · Nature Genetics · doi:10.1038/ng1885 · Cited by 766
Genetic determinants of hair, eye and skin pigmentation in Europeans
Sulem, P., Gudbjartsson, D. F., Stacey, S. N., Helgason, A., Rafnar, T., Magnusson, K. P., Manolescu, A., Karason, A., Palsson, A., Thorleifsson, G., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.13 · Cited by 750
Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Wu, Y., Zeng, J., Zhang, F., Zhu, Z., Qi, T., Zheng, Z., Lloyd-Jones, L. R., Marioni, R. E., Martin, N. G., Montgomery, G. W., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03371-0 · Cited by 685
A framework for feature selection in clustering
Witten, D. M., & Tibshirani, R. (2010) · Journal of the American Statistical Association · doi:10.1198/jasa.2010.tm09415 · Cited by 696
An 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
Contribution of SHANK3 Mutations to Autism Spectrum Disorder
Moessner, R., Marshall, C. R., Sutcliffe, J. S., Skaug, J., Pinto, D., Vincent, J., Zwaigenbaum, L., Fernandez, B., Roberts, W., Szatmari, P., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/522590 · Cited by 681
Estimation of significance thresholds for genomewide association scans
Dudbridge, F., & Gusnanto, A. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20297 · Cited by 703
Common deletion polymorphisms in the human genome
McCarroll, S. A., Hadnott, T. N., Perry, G. H., Sabeti, P. C., Zody, M. C., Barrett, J. C., Dallaire, S., Gabriel, S. B., Lee, C., Daly, M. J., et al. (2006) · Nature Genetics · doi:10.1038/ng1696 · Cited by 701
Self-citationSequence variants at CHRNB3–CHRNA6 and CYP2A6 affect smoking behavior
The ENGAGE Consortium, Thorgeirsson, T. E., Gudbjartsson, D. F., Surakka, I., Vink, J. M., Amin, N., Geller, F., Sulem, P., Rafnar, T., Esko, T., et al. (2010) · Nature Genetics · doi:10.1038/ng.573 · Cited by 689
Self-citationUda, M., Galanello, R., Sanna, S., Lettre, G., Sankaran, V. G., Chen, W., Usala, G., Busonero, F., Maschio, A., Albai, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0711566105 · Cited by 672
Han, B., & Eskin, E. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.04.014 · Cited by 680
LINE-1 Retrotransposition Activity in Human Genomes
Beck, C. R., Collier, P., Macfarlane, C., Malig, M., Kidd, J. M., Eichler, E. E., Badge, R. M., & Moran, J. V. (2010) · Cell · doi:10.1016/j.cell.2010.05.021 · Cited by 632
Multiple regions within 8q24 independently affect risk for prostate cancer
Haiman, C. A., Patterson, N., Freedman, M. L., Myers, S. R., Pike, M. C., Waliszewska, A., Neubauer, J., Tandon, A., Schirmer, C., McDonald, G. J., et al. (2007) · Nature Genetics · doi:10.1038/ng2015 · Cited by 663
Exploring genetic interactions and networks with yeast
Boone, C., Bussey, H., & Andrews, B. J. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2085 · Cited by 661
Sharp, A. J., Hansen, S., Selzer, R. R., Cheng, Z., Regan, R., Hurst, J. A., Stewart, H., Price, S. M., Blair, E., Hennekam, R. C., et al. (2006) · Nature Genetics · doi:10.1038/ng1862 · Cited by 658
DISEASES: Text mining and data integration of disease–gene associations
Pletscher-Frankild, S., Pallejà, A., Tsafou, K., Binder, J. X., & Jensen, L. J. (2015) · Methods · doi:10.1016/j.ymeth.2014.11.020 · Cited by 591
New IBD genetics: common pathways with other diseases
Lees, C. W., Barrett, J. C., Parkes, M., & Satsangi, J. (2011) · Gut · doi:10.1136/gut.2009.199679 · Cited by 635
Discovering susceptibility genes for asthma and allergy
Vercelli, D. (2008) · Nature Reviews Immunology · doi:10.1038/nri2257 · Cited by 635
Nievergelt, C. M., Maihofer, A. X., Klengel, T., Atkinson, E. G., Chen, C.-Y., Choi, K. W., Coleman, J. R. I., Dalvie, S., Duncan, L. E., Gelernter, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12576-w · Cited by 635
Abdominal Aortic Aneurysm: Pathogenesis and Implications for Management
Golledge, J., Muller, J., Daugherty, A., & Norman, P. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000245819.32762.cb · Cited by 625
Sequencing and analysis of Neanderthal genomic DNA
Noonan, J. P., Coop, G., Kudaravalli, S., Smith, D., Krause, J., Alessi, J., Chen, F., Platt, D., Pääbo, S., Pritchard, J. K., et al. (2006) · Science · doi:10.1126/science.1131412 · Cited by 629
The evolutionary genetics of personality
Penke, L., Denissen, J. J. A., & Miller, G. F. (2007) · European Journal of Personality · doi:10.1002/per.629 · Cited by 610
Metadata
- Authors
- The International HapMap Consortium
- Corresponding author
- The International HapMap Consortium
- Venue
- Nature
- Published
- 2005-10
- Volume
- 437
- Issue
- 7063
- Pages
- 1299-1320
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC1880871
- OpenAlex
- W2217809488
- Cited by
- 5,858
- References
- 105
- Citations by year
- 2026: 41 · 2025: 53 · 2024: 67 · 2023: 83 · 2022: 80 · 2021: 150 · 2020: 123 · 2019: 166 · 2018: 148 · 2017: 144 · 2016: 175 · 2015: 223 · 2014: 245 · 2013: 238 · 2012: 360
- FWCI
- 369.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion, public-domain)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Leicester Research Archive (University of Leicester) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- W. M. Keck Foundation
- Genome Canada
- Wellcome Trust
- University of Oxford
- National Natural Science Foundation of China
- University Grants Committee
- Chinese Academy of Sciences
- Beijing Normal University
- Ministry of Science and Technology of the People's Republic of China
- Innovation and Technology Commission
- National Institutes of Health
- University of California, San Francisco
- Engineering and Physical Sciences Research Council
- RIKEN
- National Institute on Alcohol Abuse and Alcoholism
- National Institute on Aging
- National Institute of Mental Health
- National Institute on Drug Abuse
- National Human Genome Research Institute (R01HG001720)
- National Eye Institute
- National Cancer Institute
- National Institute on Deafness and Other Communication Disorders
- National Institute of General Medical Sciences
- National Institute of Allergy and Infectious Diseases
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute of Neurological Disorders and Stroke
- National Institute of Environmental Health Sciences
- National Institute of Arthritis and Musculoskeletal and Skin Diseases
- National Institute of Biomedical Imaging and Bioengineering
- National Institute of Dental and Craniofacial Research
- National Center for Research Resources
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- HapMap, single nucleotide polymorphisms, common genetic variants, linkage disequilibrium, recombination hotspots, haplotype diversity, genetic association studies, structural variants, natural selection, human evolution, population genomics
- MeSH terms
- DNA, Mitochondrial, Gene Frequency, Haplotypes, Humans, Recombination, Genetic, Selection, Genetic, Linkage Disequilibrium, Genome, Human, Polymorphism, Single Nucleotide, Chromosomes, Human, Y
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.
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