The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Sequence-based characterization of structural variation in the mouse genome
Open accessAbstract
Structural variation is widespread in mammalian genomes and is an important cause of disease, but just how abundant and important structural variants (SVs) are in shaping phenotypic variation remains unclear. Without knowing how many SVs there are, and how they arise, it is difficult to discover what they do. Combining experimental with automated analyses, we identified 711,920 SVs at 281,243 sites in the genomes of thirteen classical and four wild-derived inbred mouse strains. The majority of SVs are less than 1 kilobase in size and 98% are deletions or insertions. The breakpoints of 160,000 SVs were mapped to base pair resolution, allowing us to infer that insertion of retrotransposons causes more than half of SVs. Yet, despite their prevalence, SVs are less likely than other sequence variants to cause gene expression or quantitative phenotypic variation. We identified 24 SVs that disrupt coding exons, acting as rare variants of large effect on gene function. One-third of the genes so affected have immunological functions.
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
“These variants include over 5 million single nucleotide polymorphisms (SNPs; Onos et al., 2019), 116 novel genes not present in B6 (Lilue et al., 2018), and between 250 and 400 large structural variants (Yalcin et al., 2011).”
From Network analysis identifies strain-dependent response to tau and tau seeding-associated genes (2023) · cites this paper as Yalcin et al., 2011
Experimental — accuracy not yet measured
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
Ye, K., Schulz, M. H., Long, Q., Apweiler, R., & Ning, Z. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp394 · Cited by 2,029
Origins 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
Burnside, R. D. (2015) · Cytogenetic and Genome Research · doi:10.1159/000438708 · Cited by 1,964
Mouse genomic variation and its effect on phenotypes and gene regulation.
Keane, T. M., Goodstadt, L., Danecek, P., White, M. A., Wong, K., Yalcin, B., Heger, A., Agam, A., Slater, G., Goodson, M., et al. (2011) · Nature · doi:10.1038/nature10413 · Cited by 1,580
Self-citationBreakDancer: 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 1,489
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
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
Population genomics of human gene expression
Stranger, B. E., Nica, A. C., Forrest, M. S., Dimas, A. S., Bird, C., Beazley, C., Ingle, C., Dunning, M., Flicek, P., Koller, D., et al. (2007) · Nature Genetics · doi:10.1038/ng2142 · Cited by 1,153
Mapping copy number variation by population-scale genome sequencing
1000 Genomes Project, Mills, R. E., Walter, K., Stewart, C., Handsaker, R. E., Chen, K., Alkan, C., Abyzov, A., Yoon, S. C., Ye, K., et al. (2011) · Nature · doi:10.1038/nature09708 · Cited by 1,140
An integrative genomics approach to infer causal associations between gene expression and disease
Schadt, E. E., Lamb, J., Yang, X., Zhu, J., Edwards, S., GuhaThakurta, D., Sieberts, S. K., Monks, S., Reitman, M., Zhang, C., et al. (2005) · Nature Genetics · doi:10.1038/ng1589 · Cited by 1,043
Cited by
Sorted by citations
Mouse genomic variation and its effect on phenotypes and gene regulation.
Keane, T. M., Goodstadt, L., Danecek, P., White, M. A., Wong, K., Yalcin, B., Heger, A., Agam, A., Slater, G., Goodson, M., et al. (2011) · Nature · doi:10.1038/nature10413 · Cited by 1,580
Self-citationEndogenous viruses: insights into viral evolution and impact on host biology
Feschotte, C., & Gilbert, C. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3199 · Cited by 918
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 674
Dynamic landscape and regulation of RNA editing in mammals
Tan, M. H., Li, Q., Shanmugam, R., Piskol, R., Kohler, J. N., Young, A. N., Liu, K. I., Zhang, R., Ramaswami, G., Ariyoshi, K., et al. (2017) · Nature · doi:10.1038/nature24041 · Cited by 620
Spatial Organization of the Mouse Genome and Its Role in Recurrent Chromosomal Translocations
Zhang, Y., McCord, R. P., Ho, Y.-J., Lajoie, B. R., Hildebrand, D. G., Simon, A. C., Becker, M. S., Alt, F. W., & Dekker, J. (2012) · Cell · doi:10.1016/j.cell.2012.02.002 · Cited by 572
The Genome Architecture of the Collaborative Cross Mouse Genetic Reference Population
Collaborative Cross Consortium (2012) · Genetics · doi:10.1534/genetics.111.132639 · Cited by 480
The Genetics of Transcription Factor DNA Binding Variation
Deplancke, B., Alpern, D., & Gardeux, V. (2016) · Cell · doi:10.1016/j.cell.2016.07.012 · Cited by 390
Copy 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 317
Lilue, J., Doran, A. G., Fiddes, I. T., Abrudan, M., Armstrong, J., Bennett, R., Chow, W., Collins, J., Collins, S., Czechanski, A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0223-8 · Cited by 267
Self-citationMaximum likelihood inference of reticulate evolutionary histories
Yu, Y., Dong, J., Liu, K. J., & Nakhleh, L. K. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407950111 · Cited by 264
Pinto, R. M., Dragileva, E., Kirby, A., Lloret, A., Lopez, E., St. Claire, J., Panigrahi, G. B., Hou, C., Holloway, K., Gillis, T., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003930 · Cited by 250
Kazachenka, A., Bertozzi, T. M., Sjoberg-Herrera, M. K., Walker, N., Gardner, J., Gunning, R., Pahita, E., Adams, S., Adams, D., & Ferguson-Smith, A. C. (2018) · Cell · doi:10.1016/j.cell.2018.09.043 · Cited by 181
Self-citationGenomes of the Mouse Collaborative Cross
Srivastava, A., Morgan, A. P., Najarian, M. L., Sarsani, V., Sigmon, J. S., Shorter, J. R., Kashfeen, A., McMullan, R., Williams, L. H., Giusti‐Rodríguez, P., et al. (2017) · Genetics · doi:10.1534/genetics.116.198838 · Cited by 192
Endogenous Retroviruses and the Development of Cancer
Kassiotis, G. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1302972 · Cited by 202
Lactation and Neonatal Nutrition: Defining and Refining the Critical Questions
Neville, M. C., Anderson, S. M., McManaman, J. L., Badger, T. M., Bunik, M. E., Contractor, N., Crume, T., Dabelea, D., Donovan, S. M., Forman, N. A., et al. (2012) · Journal of Mammary Gland Biology and Neoplasia · doi:10.1007/s10911-012-9261-5 · Cited by 194
The genomic landscape shaped by selection on transposable elements across 18 mouse strains
Nellåker, C., Keane, T., Yalcin, B., Wong, K., Agam, A., Belgard, T. G., Flint, J., Adams, D. J., Frankel, W. N., & Ponting, C. P. (2012) · Genome biology · doi:10.1186/gb-2012-13-6-r45 · Cited by 177
Self-citationCreating reference gene annotation for the mouse C57BL6/J genome assembly
Mudge, J. M., & Harrow, J. (2015) · Mammalian Genome · doi:10.1007/s00335-015-9583-x · Cited by 173
A 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 184
Passenger Mutations Confound Interpretation of All Genetically Modified Congenic Mice
Berghe, T. V., Hulpiau, P., Martens, L., Vandenbroucke, R. E., Wonterghem, E. V., Perry, S. W., Bruggeman, I., Divert, T., Choi, S. M., Vuylsteke, M., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.06.011 · Cited by 168
Zhang, Z., Mao, L., Chen, H., Bu, F., Li, G., Sun, J., Li, S., Sun, H., Jiao, C., Blakely, R., et al. (2015) · The Plant Cell · doi:10.1105/tpc.114.135848 · Cited by 160
Xenomic networks variability and adaptation traits in wood decaying fungi
Morel‐Rouhier, M., Meux, E., Mathieu, Y., Thuillier, A., Chibani, K., Harvengt, L., Jacquot, J., & Gelhaye, É. (2013) · Microbial Biotechnology · doi:10.1111/1751-7915.12015 · Cited by 142
Maddatu, T. P., Grubb, S. C., Bult, C. J., & Bogue, M. A. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1061 · Cited by 141
Individual differences in recovery from traumatic fear
Holmes, A., & Singewald, N. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.11.003 · Cited by 147
Genome-wide association of multiple complex traits in outbred mice by ultra-low-coverage sequencing
Nicod, J., Davies, R. W., Cai, N., Hassett, C., Goodstadt, L., Cosgrove, C., Yee, B. K., Lionikaite, V., McIntyre, R. E., Remme, C. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3595 · Cited by 133
Self-citationAn integrative probabilistic model for identification of structural variation in sequencing data
Sindi, S., Önal, S., Peng, L., Wu, H.-T., & Raphael, B. J. (2012) · Genome biology · doi:10.1186/gb-2012-13-3-r22 · Cited by 139
Dynamics of gene silencing during X inactivation using allele-specific RNA-seq
Marks, H., Kerstens, H. H. D., Barakat, T. S., Splinter, E., Dirks, R. A. M., van Mierlo, G., Joshi, O., Wang, S.-Y., Babak, T., Albers, C. A., et al. (2015) · Genome biology · doi:10.1186/s13059-015-0698-x · Cited by 127
The blessings and curses of C57BL/6 substrains in mouse genetic studies
Bryant, C. D. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06325.x · Cited by 139
Substrains matter in phenotyping of C57BL/6 mice
Mekada, K., & Yoshiki, A. (2021) · EXPERIMENTAL ANIMALS · doi:10.1538/expanim.20-0158 · Cited by 131
A sheep pangenome reveals the spectrum of structural variations and their effects on tail phenotypesPreprint
Li, R., Gong, M., Zhang, X., Wang, F., Liu, Z., Zhang, L., Yang, Q., Xu, Y., Xu, M., Zhang, H., et al. (2023) · Genome Research · doi:10.1101/gr.277372.122 · Cited by 125
French, J. E., Gatti, D. M., Morgan, D. L., Kissling, G. E., Shockley, K. R., Knudsen, G. A., Shepard, K. G., Price, H. C., King, D., Witt, K. L., et al. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1408202 · Cited by 121
High‐precision genetic mapping of behavioral traits in the diversity outbred mouse population
Logan, R. W., Robledo, R. F., Recla, J. M., Philip, V. M., Bubier, J. A., Jay, J. J., Harwood, C., Wilcox, T. D., Gatti, D. M., Bult, C. J., et al. (2013) · Genes Brain & Behavior · doi:10.1111/gbb.12029 · Cited by 114
Genomic Variation and Its Impact on Gene Expression in Drosophila melanogaster
Massouras, A., Waszak, S. M., Albarca-Aguilera, M., Hens, K., Holcombe, W., Ayroles, J. F., Dermitzakis, E. T., Stone, E. A., Jensen, J. D., Mackay, T. F. C., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1003055 · Cited by 113
Doran, A. G., Wong, K., Flint, J., Adams, D. J., Hunter, K. W., & Keane, T. M. (2016) · Genome Biology · doi:10.1186/s13059-016-1024-y · Cited by 101
Self-citationFeulner, P. G. D., Chain, F. J. J., Panchal, M., Eizaguirre, C., Kalbe, M., Lenz, T. L., Mundry, M., Samonte, I. E., Stoll, M., Milinski, M., et al. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05680.x · Cited by 101
Batista, A. R., King, O. D., Reardon, C. P., Davis, C., Shankaracharya, Philip, V. M., Gray‐Edwards, H. L., D, N. A. M., Lutz, C. M., Landers, J. E., et al. (2019) · Human Gene Therapy · doi:10.1089/hum.2019.186 · Cited by 98
Gu, C., Wang, L., Wang, W., Zhou, H., Ma, B., Zheng, H., Fang, T., Ogutu, C. O., Vimolmangkang, S., & Han, Y. (2016) · Journal of Experimental Botany · doi:10.1093/jxb/erw021 · Cited by 99
Genes, behavior and next‐generation RNA sequencing
Hitzemann, R., Bottomly, D., Darakjian, P., Walter, N., Iancu, O., Searles, R., Wilmot, B., & McWeeney, S. (2013) · Genes, Brain and Behavior · doi:10.1111/gbb.12007 · Cited by 88
Yi, G., Qu, L., Liu, J., Yan, Y., Xu, G., & Yang, N. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-962 · Cited by 92
Genetic Analysis of Hematological Parameters in Incipient Lines of the Collaborative Cross
Kelada, S. N. P., Aylor, D. L., Peck, B. C. E., Ryan, J. F., Tavarez, U. L., Buus, R. J., Miller, D. R., Chesler, E. J., Threadgill, D. W., Churchill, G. A., et al. (2012) · G3 Genes Genomes Genetics · doi:10.1534/g3.111.001776 · Cited by 94
High-fat feeding rapidly induces obesity and lipid derangements in C57BL/6N mice
Sanger Mouse Genetics Project, Podrini, C., Cambridge, E. L., Lelliott, C. J., Carragher, D. M., Estabel, J., Gerdin, A.-K., Karp, N. A., Scudamore, C. L., Ramírez‐Solis, R., et al. (2013) · Mammalian Genome · doi:10.1007/s00335-013-9456-0 · Cited by 101
Berndt, A., Leme, A. S., & Shapiro, S. D. (2012) · EMBO Molecular Medicine · doi:10.1002/emmm.201100627 · Cited by 89
Fine mapping of copy number variations on two cattle genome assemblies using high density SNP array
Hou, Y., Bickhart, D. M., Hvinden, M. L., Li, C., Song, J., Boichard, D., Fritz, S., Eggen, A. A., DeNise, S. K., Wiggans, G. R., et al. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-376 · Cited by 86
Didion, J. P., Morgan, A. P., Clayshulte, A. M.-F., McMullan, R., Yadgary, L., Petkov, P. M., Bell, T. A., Gatti, D. M., Crowley, J. J., Hua, K., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1004850 · Cited by 83
Mapping Genetic Contributions to Cardiac Pathology Induced by Beta-Adrenergic Stimulation in Mice
Rau, C. D., Wang, J., Avetisyan, R., Romay, M. C., Martin, L., Ren, S. V., Wang, Y., & Lusis, A. J. (2014) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.113.000732 · Cited by 84
Modifier genes and the plasticity of genetic networks in mice
Hamilton, B. A., & Yu, B. D. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002644 · Cited by 78
The Mouse Genomes Project: a repository of inbred laboratory mouse strain genomes
Adams, D. J., Doran, A., Lilue, J., & Keane, T. (2015) · Mammalian Genome · doi:10.1007/s00335-015-9579-6 · Cited by 81
Self-citationTrace Amine-Associated Receptor 1 Regulation of Methamphetamine Intake and Related Traits
Harkness, J. H., Shi, X., Janowsky, A. J., & Phillips, T. J. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.61 · Cited by 78
Sequencing and characterization of the FVB/NJ mouse genome
Wong, K., Bumpstead, S., van der Weyden, L., Reinholdt, L. G., Wilming, L. G., Adams, D. J., & Keane, T. (2012) · Genome biology · doi:10.1186/gb-2012-13-8-r72 · Cited by 75
Self-citationFerraj, A., Audano, P. A., Balachandran, P., Czechanski, A., Flores, J. I., Radecki, A. A., Mosur, V., Gordon, D., Walawalkar, I. A., Eichler, E. E., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100291 · Cited by 80
Ericsson, A. C., Personett, A. R., Turner, G., Dorfmeyer, R. A., & Franklin, C. L. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00196 · Cited by 77
Cardiac-Specific Inducible and Conditional Gene Targeting in Mice
Doetschman, T., & Azhar, M. (2012) · Circulation Research · doi:10.1161/circresaha.112.265066 · Cited by 74
Cytoplasmic FMR1-Interacting Protein 2 Is a Major Genetic Factor Underlying Binge Eating
Kirkpatrick, S. L., Goldberg, L. R., Yazdani, N., Babbs, R. K., Wu, J., Reed, E. R., Jenkins, D. F., Bolgioni, A. F., Landaverde, K. I., Luttik, K. P., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.10.021 · Cited by 71
Prickett, A. R., Barkas, N., McCole, R. B., Hughes, S., Amante, S. M., Schulz, R., & Oakey, R. J. (2013) · Genome Research · doi:10.1101/gr.150136.112 · Cited by 70
Liu, E. Y., Morgan, A. P., Chesler, E. J., Wang, W., Churchill, G. A., & de Villena, F. P. (2014) · Genetics · doi:10.1534/genetics.114.161653 · Cited by 67
Resolving complex tandem repeats with long reads
Ummat, A., & Bashir, A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu437 · Cited by 66
Copy number variation in the cattle genome
Liu, G. E., & Bickhart, D. M. (2012) · Functional & Integrative Genomics · doi:10.1007/s10142-012-0289-9 · Cited by 66
Moresco, E. M. Y., Li, X., & Beutler, B. (2013) · American Journal Of Pathology · doi:10.1016/j.ajpath.2013.02.002 · Cited by 69
Genetic loci and metabolic states associated with murine epigenetic aging
Mozhui, K., Lu, A. T., Li, C. Z., Haghani, A., Sandoval-Sierra, J. V., Wu, Y., Williams, R. W., & Horvath, S. (2022) · eLife · doi:10.7554/elife.75244 · Cited by 58
Next-generation sequencing of experimental mouse strains
Yalcin, B., Adams, D. J., Flint, J., & Keane, T. (2012) · Mammalian Genome · doi:10.1007/s00335-012-9402-6 · Cited by 60
Self-citationDidion, J. P., & de Villena, F. P. (2012) · Mammalian Genome · doi:10.1007/s00335-012-9441-z · Cited by 58
Conversion of random X-inactivation to imprinted X-inactivation by maternal PRC2
Harris, C. E., Cloutier, M., Trotter, M., Hinten, M., Gayen, S., Du, Z., Xie, W., & Kalantry, S. (2019) · eLife · doi:10.7554/elife.44258 · Cited by 55
Smallwood, T. L., Gatti, D. M., Quizon, P., Weinstock, G. M., Jung, K.-C., Zhao, L., Hua, K., Pomp, D., & Bennett, B. J. (2014) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.114.014704 · Cited by 54
Shin, D., Lee, H. J., Cho, S., Kim, H. J., Hwang, J. Y., Lee, C., Jeong, J., Yoon, D., & Kim, H. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-240 · Cited by 52
The fine-scale architecture of structural variants in 17 mouse genomes
Yalcin, B., Wong, K., Bhomra, A., Goodson, M., Keane, T., Adams, D. J., & Flint, J. (2012) · Genome biology · doi:10.1186/gb-2012-13-3-r18 · Cited by 52
Self-citationEpigenetic control of alternative mRNA processing at the imprinted Herc3/Nap1l5 locus
Cowley, M., Wood, A. J., Böhm, S., Schulz, R., & Oakey, R. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks654 · Cited by 53
Mouse endogenous retroviruses can trigger premature transcriptional termination at a distancePreprint
Li, J., Akagi, K., Hu, Y., Trivett, A. L., Hlynialuk, C. J. W., Swing, D. A., Volfovsky, N., Morgan, T. C., Golubeva, Y. G., Stephens, R. M., et al. (2012) · Genome Research · doi:10.1101/gr.130740.111 · Cited by 52
Xu, L., Hou, Y., Bickhart, D. M., Song, J., & Liu, G. E. (2013) · Microarrays · doi:10.3390/microarrays2030171 · Cited by 54
Genomic copy number variation in Mus musculus
Locke, M. E. O., Milojevic, M., Eitutis, S. T., Patel, N., Wishart, A. E., Daley, M., & Hill, K. A. (2015) · BMC Genomics · doi:10.1186/s12864-015-1713-z · Cited by 51
Xu, Y., Shi, T., Cai, H., Zhou, Y., Lan, X., Zhang, C., Lei, C., Qi, X., & Chen, H. (2013) · Gene · doi:10.1016/j.gene.2013.11.057 · Cited by 50
Hnrnph1 Is A Quantitative Trait Gene for Methamphetamine Sensitivity
Yazdani, N., Parker, C. C., Shen, Y., Reed, E. R., Guido, M. A., Kole, L. A., Kirkpatrick, S. L., Lim, J. E., Sokoloff, G., Cheng, R., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005713 · Cited by 46
Cytosolic Iron-Sulfur Assembly Is Evolutionarily Tuned by a Cancer-Amplified Ubiquitin Ligase
Weon, J. L., Yang, S. W., & Potts, P. R. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.11.010 · Cited by 49
Tyler, A. L., Ji, B., Gatti, D. M., Munger, S. C., Churchill, G. A., Svenson, K. L., & Carter, G. W. (2017) · Genetics · doi:10.1534/genetics.116.198051 · Cited by 52
Szatkiewicz, J., Wang, W., Sullivan, P. F., Wang, W. W., & Sun, W. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1363 · Cited by 47
Genome-Wide Association for Fear Conditioning in an Advanced Intercross Mouse Line
Parker, C. C., Sokoloff, G., Cheng, R., & Palmer, A. A. (2012) · Behavior Genetics · doi:10.1007/s10519-011-9524-8 · Cited by 49
Copy number variation in potato – an asexually propagated autotetraploid species
Iovene, M., Zhang, T., Lou, Q., Buell, C. R., & Jiang, J. (2013) · The Plant Journal · doi:10.1111/tpj.12200 · Cited by 51
Genetic Architecture of Skewed X Inactivation in the Laboratory Mouse
Calaway, J. D., Lenarcic, A., Didion, J. P., Wang, J., Searle, J. B., McMillan, L., Valdar, W. S. J., & de Villena, F. P. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003853 · Cited by 45
The optimal mating distance resulting from heterosis and genetic incompatibility
Wei, X., & Zhang, J. (2018) · Science Advances · doi:10.1126/sciadv.aau5518 · Cited by 47
Immunity-related GTPase induces lipophagy to prevent excess hepatic lipid accumulation
Schwerbel, K., Kamitz, A., Krahmer, N., Hallahan, N., Jähnert, M., Gottmann, P., Lebek, S., Schallschmidt, T., Arends, D., Schumacher, F., et al. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.04.031 · Cited by 50
Xu, Y., Zhang, L., Shi, T., Zhou, Y., Cai, H., Lan, X., Zhang, C., Lei, C., & Chen, H. (2013) · Mammalian Genome · doi:10.1007/s00335-013-9483-x · Cited by 45
Structural variation during dog domestication: insights from gray wolf and dhole genomes
Wang, G., Shao, X.-J., Bai, B., Wang, J., Wang, X., Cao, X., Yan-hu, L., Wang, X., Yin, T.-T., Zhang, S., et al. (2018) · National Science Review · doi:10.1093/nsr/nwy076 · Cited by 48
Genomic variability in Mexican chicken population using copy number variants
Gorla, E., Cozzi, M. C., Román-Ponce, S. I., Lopez, F. J., Murillo, V. E. V., Cerolini, S., Bagnato, A., & Strillacci, M. G. (2017) · BMC Genetics · doi:10.1186/s12863-017-0524-4 · Cited by 44
Chisolm, D. A., Cheng, W. Y., Colburn, S. A., Silva-Sánchez, A., Meza‐Perez, S., Randall, T. D., & Weinmann, A. S. (2019) · Immunity · doi:10.1016/j.immuni.2019.05.006 · Cited by 43
fourSig: a method for determining chromosomal interactions in 4C-Seq data
Williams, R. L., Starmer, J., Mugford, J. W., Calabrese, J. M., Mieczkowski, P. A., Yee, D., & Magnuson, T. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku156 · Cited by 43
Genomic variation in the vomeronasal receptor gene repertoires of inbred mice
Wynn, E. H., Sánchez-Andrade, G., Carss, K., & Logan, D. W. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-415 · Cited by 38
Araki, K., Aokic, J.-Y., Kawase, J., Hamada, K., Ozaki, A., Fujimoto, H., Yamamoto, I., & Usuki, H. (2018) · International Journal of Genomics · doi:10.1155/2018/7984292 · Cited by 40
Simonis, M., Atanur, S. S., Linsen, S. E. V., Guryev, V., Ruzius, F.-P., Gamé, L., Lansu, N. R., de Bruijn, E., van Heesch, S., Jones, S. J. M., et al. (2012) · Genome biology · doi:10.1186/gb-2012-13-4-r31 · Cited by 37
Genetic Regulation ofZfp30, CXCL1, and Neutrophilic Inflammation in Murine Lung
Rutledge, H. R., Aylor, D. L., Carpenter, D. E., Peck, B. C. E., Chines, P. S., Ostrowski, L. E., Chesler, E. J., Churchill, G. A., de Villena, F. P., & Kelada, S. N. P. (2014) · Genetics · doi:10.1534/genetics.114.168138 · Cited by 41
Rapid Identification of Major-Effect Genes Using the Collaborative Cross
Ram, R., Mehta, M., Balmer, L. A., Gatti, D. M., & Morahan, G. (2014) · Genetics · doi:10.1534/genetics.114.163014 · Cited by 39
Genetic variation regulates opioid-induced respiratory depression in mice
Bubier, J. A., He, H., Philip, V. M., Roy, T., Hernandez, C. M., Bernat, R., Donohue, K. D., O’Hara, B. F., & Chesler, E. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-71804-2 · Cited by 39
The Genetic Architecture of the Genome-Wide Transcriptional Response to ER Stress in the Mouse
Chow, C. Y., Wang, X., Riccardi, D., Wolfner, M. F., & Clark, A. G. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1004924 · Cited by 39
Integrative Genetic Analysis of Allergic Inflammation in the Murine Lung
Kelada, S. N. P., Carpenter, D. E., Aylor, D. L., Chines, P. S., Rutledge, H. R., Chesler, E. J., Churchill, G. A., de Villena, F. P., Schwartz, D. A., & Collins, F. S. (2014) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2013-0501oc · Cited by 34
SM a SH: a benchmarking toolkit for human genome variant calling
Talwalkar, A., Liptrap, J., Newcomb, J., Hartl, C., Terhorst, J., Curtis, K., Bresler, M., Song, Y. S., Jordan, M. I., & Patterson, D. A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu345 · Cited by 41
Brown, L. A., Williams, J. A., Taylor, L., Thomson, R. J., Nolan, P. M., Foster, F., & Peirson, S. N. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx714 · Cited by 36
Impact of Genetic Variation on CRISPR-Cas Targeting
Canver, M. C., Joung, J. K., & Pinello, L. (2018) · The CRISPR Journal · doi:10.1089/crispr.2017.0016 · Cited by 36
Facilitating Complex Trait Analysis via Reduced Complexity Crosses
Bryant, C. D., Smith, D., Kantak, K. M., Nowak, T. S., Williams, R. W., Damaj, M. I., Redei, E. E., Chen, H., & Mulligan, M. K. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.05.003 · Cited by 35
Isbel, L., & Whitelaw, E. (2012) · BioEssays · doi:10.1002/bies.201200056 · Cited by 35
Development of SNP markers for C57BL/6N-derived mouse inbred strains
Mekada, K., HIROSE, M., MURAKAMI, A., & Yoshiki, A. (2014) · EXPERIMENTAL ANIMALS · doi:10.1538/expanim.14-0061 · Cited by 35
Gheldof, N., Witwicki, R. M., Migliavacca, E., Leleu, M., Didelot, G., Harewood, L., Rougemont, J., & Reymond, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079973 · Cited by 38
Genome‐wide association for methamphetamine sensitivity in an advanced intercross mouse line
Parker, C. C., Cheng, R., Sokoloff, G., & Palmer, A. A. (2011) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2011.00747.x · Cited by 36
Genetic background influences susceptibility to chemotherapy-induced hematotoxicity
Gatti, D. M., Weber, S. N., Goodwin, N. C., Lammert, F., & Churchill, G. A. (2017) · The Pharmacogenomics Journal · doi:10.1038/tpj.2017.23 · Cited by 33
Metadata
- Authors
- Yalcin, B., Wong, K., Agam, A., Goodson, M., Keane, T. M., Gan, X., Nellåker, C., Goodstadt, L., Nicod, J., Bhomra, A., Hernandez-Pliego, P., Whitley, H., Cleak, J., Dutton, R., Janowitz, D., Mott, R., Adams, D. J., & Flint, J.
- Affiliations
- Centre for Human Genetics (GB)
- Wellcome Sanger Institute (GB)
- University of Oxford (GB)
- Corresponding author
- Adams, David J.
- ORCID
- Venue
- Nature
- Published
- 2011-09
- Volume
- 477
- Issue
- 7364
- Pages
- 326-329
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3428933
- OpenAlex
- W1967973651
- Cited by
- 301
- References
- 31
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 6 · 2023: 16 · 2022: 17 · 2021: 20 · 2020: 14 · 2019: 18 · 2018: 23 · 2017: 20 · 2016: 20 · 2015: 26 · 2014: 27 · 2013: 34 · 2012: 38
- FWCI
- 20.75
- 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)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (079912, 082356, 090532, 098051)
- Cancer Research UK (13031)
- Medical Research Council (MC_EX_G0802457)
- 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 › Chromosomal and Genetic Variations
- Keywords
- structural variants, mouse genome, inbred mouse strains, wild-derived mouse strains, retrotransposon insertion, indels, breakpoint mapping, phenotypic variability, gene expression variation, functional variants
- MeSH terms
- Animals, Exons, Female, Genotype, Male, Mice, Inbred Strains, Phenotype, Genetic Variation, Gene Expression, Mutagenesis, Insertional, Genome, Sequence Deletion, Retroelements, Genomics, Quantitative Trait Loci, Mice, Rats, Chromosome Breakpoints
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