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Potential etiologic and functional implications of genome-wide association loci for human diseases and traits
Open accessAbstract
We have developed an online catalog of SNP-trait associations from published genome-wide association studies for use in investigating genomic characteristics of trait/disease-associated SNPs (TASs). Reported TASs were common [median risk allele frequency 36%, interquartile range (IQR) 21%−53%] and were associated with modest effect sizes [median odds ratio (OR) 1.33, IQR 1.20–1.61]. Among 20 genomic annotation sets, reported TASs were significantly overrepresented only in nonsynonymous sites [OR = 3.9 (2.2−7.0), p = 3.5 × 10 −7 ] and 5kb-promoter regions [OR = 2.3 (1.5−3.6), p = 3 × 10 −4 ] compared to SNPs randomly selected from genotyping arrays. Although 88% of TASs were intronic (45%) or intergenic (43%), TASs were not overrepresented in introns and were significantly depleted in intergenic regions [OR = 0.44 (0.34−0.58), p = 2.0 × 10 −9 ]. Only slightly more TASs than expected by chance were predicted to be in regions under positive selection [OR = 1.3 (0.8−2.1), p = 0.2]. This new online resource, together with bioinformatic predictions of the underlying functionality at trait/disease-associated loci, is well-suited to guide future investigations of the role of common variants in complex disease etiology.
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“In these 50 control sets, Ingenuity enrichment p-values for the complement system and for atherosclerosis signaling genes were exceeded 16% and 32% of the time respectively (although these two specific pathways were never implicated in a control dataset).”
From Seven new loci associated with age-related macular degeneration (2013) · cites this paper as [46]
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“To evaluate significance of observed enrichment, we repeated our Ingenuity analysis starting with 50 lists of 19 SNPs randomly drawn from the NHGRI GWAS catalog46 and, again, using the INRICH tool63.”
From Seven new loci associated with age-related macular degeneration (2013) · cites this paper as [46]
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The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"?
Neel, J. V. (1962) · Europe PMC (PubMed Central) · Cited by 3,172
A Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,925
Human non-synonymous SNPs: server and survey
Ramensky, V. E. (2002) · Nucleic Acids Research · doi:10.1093/nar/gkf493 · Cited by 2,299
Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"?
(1962) · PubMed Central · Cited by 2,182
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
Heritability in the genomics era — concepts and misconceptions
Visscher, P. M., Hill, W. G., & Wray, N. R. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2322 · Cited by 1,921
Hayhurst, G. P., Lee, Y.-H., Lambert, G., Ward, J. M., & Gonzalez, F. J. (2001) · Molecular and Cellular Biology · doi:10.1128/mcb.21.4.1393-1403.2001 · Cited by 1,107
The genetics and immunopathogenesis of inflammatory bowel disease
Cho, J. H. (2008) · Nature Reviews Immunology · doi:10.1038/nri2340 · Cited by 940
Multiple loci identified in a genome-wide association study of prostate cancer
Thomas, G. D., Jacobs, K. B., Yeager, M., Kraft, P. L., Wacholder, S., Orr, N., Yu, K. F., Chatterjee, N., Welch, R., Hutchinson, A. A., et al. (2008) · Nature Genetics · doi:10.1038/ng.91 · Cited by 903
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Suhre, K., Arnold, M., Bhagwat, A. M., Cotton, R. J., Engelke, R., Raffler, J., Sarwath, H., Thareja, G., Wahl, A., DeLisle, R. K., et al. (2017) · Nature Communications · doi:10.1038/ncomms14357 · Cited by 800
Large-scale whole-genome sequencing of the Icelandic population
Gudbjartsson, D. F., Helgason, H., Gudjonsson, S. A., Zink, F., Oddson, A., Gylfason, A., Besenbacher, S., Magnusson, G., Halldorsson, B. V., Hjartarson, E., et al. (2015) · Nature Genetics · doi:10.1038/ng.3247 · Cited by 791
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Liu, J. Z., McRae, A. F., Nyholt, D. R., Medland, S. E., Wray, N. R., Brown, K. M., Hayward, N. K., Montgomery, G. W., Visscher, P. M., Martin, N. G., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.06.009 · Cited by 796
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The AMD Gene Consortium (2013) · Nature Genetics · doi:10.1038/ng.2578 · Cited by 788
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Pers, T. H., Karjalainen, J. M., Chan, Y., Westra, H.-J., Wood, A. R., Yang, J., Lui, J. C., Vedantam, S., Gustafsson, S., Esko, T., et al. (2015) · Nature Communications · doi:10.1038/ncomms6890 · Cited by 787
The International IBD Genetics Consortium (IIBDGC), Ellinghaus, D., International Genetics of Ankylosing Spondylitis Consortium (IGAS), International PSC Study Group (IPSCSG), Genetic Analysis of Psoriasis Consortium (GAPC), Psoriasis Association Genetics Extension (PAGE), Jostins, L., Spain, S. L., Cortes, A., Bethune, J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3528 · Cited by 751
Host genetic variation impacts microbiome composition across human body sites
Blekhman, R., Goodrich, J. K., Huang, K., Sun, Q., Bukowski, R., Bell, J. T., Spector, T. D., Keinan, A., Ley, R. E., Gevers, D., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0759-1 · Cited by 745
Hangauer, M. J., Vaughn, I. W., & McManus, M. T. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003569 · Cited by 738
Kettunen, J., Demirkan, A., Würtz, P., Draisma, H. H. M., Haller, T., Rawal, R., Vaarhorst, A., Kangas, A. J., Lyytikäinen, L.-P., Pirinen, M., et al. (2016) · Nature Communications · doi:10.1038/ncomms11122 · Cited by 738
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Flint, J., & Kendler, K. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.027 · Cited by 724
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Loos, R. J. F., & Yeo, G. S. H. (2013) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2013.227 · Cited by 754
Complex multi-enhancer contacts captured by genome architecture mapping
Beagrie, R. A., Scialdone, A., Schueler, M., Kraemer, D. C. A., Chotalia, M., Xie, S. Q., Barbieri, M., de Santiago, I., Lavitas, L.-M., Branco, M. R., et al. (2017) · Nature · doi:10.1038/nature21411 · Cited by 715
Linking disease associations with regulatory information in the human genomePreprint
Schaub, M. A., Boyle, A. P., Kundaje, A. B., Batzoglou, S., & Snyder, M. P. (2012) · Genome Research · doi:10.1101/gr.136127.111 · Cited by 723
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
Shihab, H. A., Rogers, M. F., Gough, J., Mort, M. E., Cooper, D. N., Day, I. N. M., Gaunt, T. R., & Campbell, C. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv009 · Cited by 703
Defining functional DNA elements in the human genome
Kellis, M., Wold, B. J., Snyder, M. P., Bernstein, B., Kundaje, A. B., Marinov, G. K., Ward, L. D., Birney, E., Crawford, G. E., Dekker, J., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1318948111 · Cited by 724
Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease
Yazar, S., Alquicira-Hernandez, J., Wing, K., Senabouth, A., Gordon, M. G., Andersen, S., Lu, Q., Rowson, A., Taylor, T. R. P., Clarke, L., et al. (2022) · Science · doi:10.1126/science.abf3041 · Cited by 682
Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells
Chen, L., Ge, B., Casale, F. P., Vasquez, L., Kwan, T., Garrido-Martín, D., Watt, S., Yan, Y., Kundu, K., Ecker, S., et al. (2016) · Cell · doi:10.1016/j.cell.2016.10.026 · Cited by 679
THE QTN PROGRAM AND THE ALLELES THAT MATTER FOR EVOLUTION: ALL THAT'S GOLD DOES NOT GLITTER
Rockman, M. V. (2011) · Evolution · doi:10.1111/j.1558-5646.2011.01486.x · Cited by 679
Zitnik, M., Nguyen, F., Wang, B., Leskovec, J., Goldenberg, A., & Hoffman, M. M. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.09.012 · Cited by 675
Epidemiology and Pathogenesis of Ulcerative Colitis
Du, L., & Ha, C. Y. (2020) · Gastroenterology Clinics of North America · doi:10.1016/j.gtc.2020.07.005 · Cited by 680
An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people
Nelson, M. R., Wegmann, D., Ehm, M. G., Kessner, D., St. Jean, P., Verzilli, C., Shen, J., Tang, Z., Bacanu, S.-A., Fraser, D., et al. (2012) · Science · doi:10.1126/science.1217876 · Cited by 647
Genetic variability in the regulation of gene expression in ten regions of the human brain
UK Brain Expression Consortium, Ramasamy, A., North American Brain Expression Consortium, Trabzuni, D., Guelfi, S., Varghese, V., Smith, C., Walker, R., De, T., Coin, L., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3801 · Cited by 644
Identification of common variants associated with human hippocampal and intracranial volumes
(ADNI), T. A. D. N. I., Stein, J. L., Murray, R. M., Medland, S. E., Vásquez, A. A., Hibar, D. P., Senstad, R. E., Winkler, A. M., Toro, R., Appel, K., et al. (2012) · Nature Genetics · doi:10.1038/ng.2250 · Cited by 634
Kiryluk, K., Li, Y., Scolari, F., Sanna‐Cherchi, S., Choi, M., Verbitsky, M., Fasel, D. A., Lata, S., Prakash, S., Shapiro, S. L., et al. (2014) · Nature Genetics · doi:10.1038/ng.3118 · Cited by 640
Realizing the promise of cancer predisposition genes
Rahman, N. (2014) · Nature · doi:10.1038/nature12981 · Cited by 632
Network-based in silico drug efficacy screening
Guney, E., Menche, J., Vidal, M., & Barábasi, A.-L. (2016) · Nature Communications · doi:10.1038/ncomms10331 · Cited by 625
Nitrate Transport, Sensing, and Responses in Plants
O’Brien, J. A., Vega, A., Bouguyon, E., Krouk, G., Gojon, A., Coruzzi, G. M., & Gutiérrez, R. A. (2016) · Molecular Plant · doi:10.1016/j.molp.2016.05.004 · Cited by 633
Noth, I., Zhang, Y., Ma, S., Flores, C., Barber, M., Huang, Y., Broderick, S. M., Wade, M. S., Hysi, P. G., Scuirba, J., et al. (2013) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(13)70045-6 · Cited by 622
Pervasive Sharing of Genetic Effects in Autoimmune Disease
Cotsapas, C., Voight, B. F., Rossin, E., Lage, K., Neale, B. M., Wallace, C., Abecasis, G. R., Barrett, J. C., Behrens, T., Cho, J., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002254 · Cited by 606
Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture
Zheng, H., Forgetta, V., Hsu, Y., Estrada, K., Roselló‐Díez, A., Leo, P. J., Dahia, C. L., Park‐Min, K. H., Tobias, J. H., Kooperberg, C. L., et al. (2015) · Nature · doi:10.1038/nature14878 · Cited by 596
Fumagalli, M., Sironi, M., Pozzoli, U., Ferrer-Admettla, A., Pattini, L., & Nielsen, R. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002355 · Cited by 600
Widespread macromolecular interaction perturbations in human genetic disorders
Sahni, N., Yi, S., Taipale, M., Fuxman Bass, J. I., Coulombe-Huntington, J., Yang, F., Peng, J., Weile, J., Karras, G. I., Wang, Y., et al. (2015) · Cell · doi:10.1016/j.cell.2015.04.013 · Cited by 594
Enhancers: five essential questions
Pennacchio, L. A., Bickmore, W. A., Dean, A., Nóbrega, M. A., & Bejerano, G. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3458 · Cited by 625
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
Liu, X., Jian, X., & Boerwinkle, E. (2013) · Human Mutation · doi:10.1002/humu.22376 · Cited by 595
Genomic inflation factors under polygenic inheritance
Yang, J., Weedon, M. N., Purcell, S., Lettre, G., Estrada, K., Willer, C. J., Smith, A. V., Ingelsson, E., O’Connell, J. R., Mangino, M., et al. (2011) · European Journal of Human Genetics · doi:10.1038/ejhg.2011.39 · Cited by 571
Mountjoy, E., Schmidt, E. M., Carmona, M., Schwartzentruber, J., Peat, G., Miranda, A., Fumis, L., Hayhurst, J., Buniello, A., Karim, M. A., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00945-5 · Cited by 581
Chromatin marks identify critical cell types for fine mapping complex trait variants
Trynka, G., Sandor, C., Han, B., Xu, H., Stranger, B. E., Liu, X. S., & Raychaudhuri, S. (2013) · Nature Genetics · doi:10.1038/ng.2504 · Cited by 580
Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data
Cooper, G. M., & Shendure, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3046 · Cited by 593
Genome-wide association studies in plants: the missing heritability is in the field
Brachi, B., Morris, G. P., & Borevitz, J. (2011) · Genome biology · doi:10.1186/gb-2011-12-10-232 · Cited by 596
Genotyping‐by‐sequencing in ecological and conservation genomics
Narum, S. R., Buerkle, C. A., Davey, J. W., Miller, M. R., & Hohenlohe, P. A. (2013) · Molecular Ecology · doi:10.1111/mec.12350 · Cited by 570
Progress and promise of genome-wide association studies for human complex trait genetics
Stranger, B. E., Stahl, E. A., & Raj, T. (2011) · Genetics · doi:10.1534/genetics.110.120907 · Cited by 567
Genome-wide association studies in diverse populations
Rosenberg, N. A., Huang, L., Jewett, E. M., Szpiech, Z. A., Jankovic, I., & Boehnke, M. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2760 · Cited by 566
Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma
Chambers, J. C., Study, D. G. R. A. M.-A. (., Zhang, W., Sehmi, J., Li, X., Wass, M. N., van der Harst, P., Hólm, H., Sanna, S., Kavousi, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.970 · Cited by 556
Methodological Challenges in Mendelian Randomization
VanderWeele, T. J., Tchetgen Tchetgen, E. J., Cornelis, M., & Kraft, P. (2014) · Epidemiology · doi:10.1097/ede.0000000000000081 · Cited by 555
Genome-wide association study identifies multiple loci influencing human serum metabolite levels
Kettunen, J., Tukiainen, T., Sarin, A.-P., Ortega-Alonso, A., Tikkanen, E., Lyytikäinen, L.-P., Kangas, A. J., Soininen, P., Würtz, P., Silander, K., et al. (2012) · Nature Genetics · doi:10.1038/ng.1073 · Cited by 553
NONCODEV5: a comprehensive annotation database for long non-coding RNAs
Fang, S., Zhang, L., Guo, J., Niu, Y., Wu, Y., Li, H., Zhao, L., Li, X., Teng, X., Sun, X., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1107 · Cited by 563
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Battle, A., Mostafavi, S., Zhu, X., Potash, J. B., Weissman, M. M., McCormick, C., Haudenschild, C. D., Beckman, K. B., Shi, J., Mei, R., et al. (2014) · Genome Research · doi:10.1101/gr.155192.113 · Cited by 547
Small Effects: The Indispensable Foundation for a Cumulative Psychological Science
Götz, F. M., Gosling, S. D., & Rentfrow, P. J. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620984483 · Cited by 610
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Michaelson, J. J., Shi, Y., Gujral, M., Zheng, H., Malhotra, D., Jin, X., Jian, M., Liu, G., Greer, D., Bhandari, A., et al. (2012) · Cell · doi:10.1016/j.cell.2012.11.019 · Cited by 544
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Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.10.004 · Cited by 544
Integrative annotation of chromatin elements from ENCODE data
Hoffman, M. M., Ernst, J., Wilder, S. P., Kundaje, A. B., Harris, R. S., Libbrecht, M., Giardine, B. M., Ellenbogen, P. M., Bilmes, J. A., Birney, E., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1284 · Cited by 529
Joint Analysis of Functional Genomic Data and Genome-wide Association Studies of 18 Human Traits
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Sample Size and Statistical Power Calculation in Genetic Association Studies
Hong, E. P., & Park, J. W. (2012) · Genomics & Informatics · doi:10.5808/gi.2012.10.2.117 · Cited by 541
Quality control and conduct of genome-wide association meta-analyses
Winkler, T. W., Day, F. R., Croteau‐Chonka, D. C., Wood, A. R., Locke, A. E., Mägi, R., Ferreira, T., Fall, T., Graff, M., Justice, A. E., et al. (2014) · Nature Protocols · doi:10.1038/nprot.2014.071 · Cited by 517
Massively parallel functional dissection of mammalian enhancers in vivo
Patwardhan, R. P., Hiatt, J. B., Witten, D. M., Kim, M. J., Smith, R. P., May, D., Lee, C., Andrie, J. M., Lee, S.-I., Cooper, G. M., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2136 · Cited by 536
Natural selection and infectious disease in human populations
Karlsson, E. K., Kwiatkowski, D. P., & Sabeti, P. C. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3734 · Cited by 546
Molecular control of activation and priming in macrophages
Glass, C. K., & Natoli, G. (2015) · Nature Immunology · doi:10.1038/ni.3306 · Cited by 538
Potential of long non‐coding RNAs in cancer patients: From biomarkers to therapeutic targets
Gupta, S. C., & Tripathi, Y. N. (2016) · International Journal of Cancer · doi:10.1002/ijc.30546 · Cited by 527
Functional annotation of noncoding sequence variants
Ritchie, G. R. S., Dunham, I., Zeggini, E., & Flicek, P. (2014) · Nature Methods · doi:10.1038/nmeth.2832 · Cited by 520
Do, C. B., Tung, J. Y., Dorfman, E., Kiefer, A. K., Drabant, E. M., Francke, U., Mountain, J. L., Goldman, S. M., Tanner, C. M., Langston, J. W., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002141 · Cited by 515
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Nédélec, Y., Sanz, J., Baharian, G., Szpiech, Z. A., Pacis, A., Dumaine, A., Grenier, J.-C., Freiman, A., Sams, A. J., Hebert, S., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.025 · Cited by 512
Song, L., Zhang, Z., Grasfeder, L. L., Boyle, A. P., Giresi, P. G., Lee, B.-K., Sheffield, N. C., Gräf, S., Huss, M., Keefe, D., et al. (2011) · Genome Research · doi:10.1101/gr.121541.111 · Cited by 517
Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes
Raj, T., Rothamel, K., Mostafavi, S., Ye, C., Lee, M. N., Replogle, J. M., Feng, T., Lee, M., Asinovski, N., Frohlich, I., et al. (2014) · Science · doi:10.1126/science.1249547 · Cited by 506
Andreassen, O. A., Djurovic, S., Thompson, W. K., Schork, A. J., Kendler, K. S., O’Donovan, M. C., Rujescu, D., Werge, T., van de Bunt, M., Morris, A. P., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.01.001 · Cited by 506
Martínez, F. D., & Vercelli, D. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61536-6 · Cited by 525
Targeted RNA sequencing reveals the deep complexity of the human transcriptome
Mercer, T. R., Gerhardt, D. J., Dinger, M. E., Crawford, J., Trapnell, C., Jeddeloh, J. A., Mattick, J. S., & Rinn, J. L. (2011) · Nature Biotechnology · doi:10.1038/nbt.2024 · Cited by 490
Genetics of Human Cardiovascular Disease
Kathiresan, S., & Srivastava, D. (2012) · Cell · doi:10.1016/j.cell.2012.03.001 · Cited by 513
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Kichaev, G., Yang, W.-Y., Lindström, S., Hormozdiari, F., Eskin, E., Price, A. L., Kraft, P. L., & Paşaniuc, B. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004722 · Cited by 486
Gender Differences in Cancer Susceptibility: An Inadequately Addressed Issue
Dorak, M. T., & Karpuzoglu, E. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00268 · Cited by 505
Berg, J. S., Khoury, M. J., & Evans, J. P. (2011) · Genetics in Medicine · doi:10.1097/gim.0b013e318220aaba · Cited by 489
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Voight, B. F., Kang, H. M., Ding, J., Palmer, C. D., Sidore, C., Chines, P. S., Burtt, N. P., Fuchsberger, C., Li, Y., Erdmann, J., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002793 · Cited by 475
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Stranger, B. E., Montgomery, S. B., Dimas, A. S., Parts, L., Stegle, O., Ingle, C. E., Sekowska, M., Smith, G. D., Evans, D., Gutierrez-Arcelus, M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002639 · Cited by 470
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Sebastiani, P., Solovieff, N., DeWan, A. T., Walsh, K. M., Puca, A., Hartley, S. W., Melista, E., Andersen, S., Dworkis, D. A., Wilk, J. B., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029848 · Cited by 464
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Metadata
- Authors
- Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A.
- Affiliations
- National Institutes of Health (US)
- National Human Genome Research Institute (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2009-06-09
- Volume
- 106
- Issue
- 23
- Pages
- 9362-9367
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2687147
- OpenAlex
- W2117446594
- Cited by
- 4,013
- References
- 22
- Citations by year
- 2026: 42 · 2025: 91 · 2024: 89 · 2023: 102 · 2022: 147 · 2021: 184 · 2020: 176 · 2019: 166 · 2018: 206 · 2017: 223 · 2016: 268 · 2015: 344 · 2014: 438 · 2013: 480 · 2012: 433
- FWCI
- 205.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute
- U.S. National Library of Medicine
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- genome-wide association study, single nucleotide polymorphisms, disease-associated SNPs, SNP-trait association, genome annotation, non-synonymous mutations, promoter, intronic SNPs, intergenic regions, positive selection, common genetic variants, OPAC
- MeSH terms
- Disease, Humans, Polymorphism, Genetic, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study
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