Evaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees

被引:21
|
作者
Jun, Goo [1 ,2 ,3 ]
Manning, Alisa [4 ]
Almeida, Marcio [5 ,6 ]
Zawistowski, Matthew [1 ,2 ]
Wood, Andrew R. [7 ]
Teslovich, Tanya M. [1 ,2 ,8 ]
Fuchsberger, Christian [1 ,2 ,9 ]
Feng, Shuang [1 ,2 ]
Cingolani, Pablo [10 ]
Gaulton, Kyle J. [11 ]
Dyer, Thomas [5 ,6 ]
Blackwell, Thomas W. [1 ,2 ]
Chen, Han [3 ,12 ,13 ,14 ]
Chines, Peter S. [15 ]
Choi, Sungkyoung [16 ]
Churchhouse, Claire [4 ]
Fontanillas, Pierre [4 ]
King, Ryan [17 ]
Lee, SungYoung [18 ]
Lincoln, Stephen E. [19 ,20 ]
Trubetskoy, Vasily [17 ]
DePristo, Mark [4 ]
Fingerlin, Tasha [21 ]
Grossman, Robert [17 ]
Grundstad, Jason [17 ]
Heath, Alison [17 ]
Kim, Jayoun [22 ]
Kim, Young Jin [18 ,23 ]
Laramie, Jason [19 ]
Lee, Jaehoon [22 ]
Li, Heng [4 ]
Liu, Xuanyao [24 ]
Livne, Oren [17 ]
Locke, Adam E. [1 ,2 ]
Maller, Julian [25 ]
Mazur, Alexander [10 ]
Morris, Andrew P. [11 ,26 ]
Pollin, Toni I. [27 ,28 ,29 ]
Ragona, Derek [17 ]
Reich, David [30 ]
Rivas, Manuel A. [11 ]
Scott, Laura J. [1 ,2 ]
Sim, Xueling [1 ,2 ,24 ]
Tearle, Rick G. [19 ]
Teo, Yik Ying [24 ,31 ,32 ]
Williams, Amy L. [4 ]
Zollner, Sebastian [1 ,2 ]
Curran, Joanne E. [5 ,6 ]
Peralta, Juan [5 ,6 ]
Akolkar, Beena [33 ]
机构
[1] Univ Michigan, Dept Biostat, Ann Arbor, MI 48105 USA
[2] Univ Michigan, Ctr Stat Genet, Ann Arbor, MI 48105 USA
[3] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth, Human Genet Ctr, Houston, TX 77225 USA
[4] Broad Inst, Program Med & Populat Genet, Cambridge, MA 02142 USA
[5] Univ Texas Rio Grande Valley, South Texas Diabet & Obes Inst, Brownsville, TX 78520 USA
[6] Univ Texas Rio Grande Valley, South Texas Diabet & Obes Inst, Edinburg, TX 78520 USA
[7] Univ Exeter, Med Sch, Genet Complex Traits, Exeter EX1 2LU, Devon, England
[8] Regeneron Pharmaceut Inc, Tarrytown, NY 10591 USA
[9] Univ Lubeck, Affiliated Inst, Inst Biomed, Eurac Res, I-39100 Bolzano, Italy
[10] McGill Univ, Genome Quebec Innovat Ctr, Montreal, PQ H3A 0E9, Canada
[11] Univ Oxford, Nuffield Dept Med, Wellcome Trust Ctr Human Genet, Oxford OX3 7BN, England
[12] Boston Univ, Dept Biostat, Sch Publ Hlth, Boston, MA 02118 USA
[13] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth, Ctr Precis Hlth, Houston, TX USA
[14] Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, Houston, TX USA
[15] NHGRI, Med Genom & Metab Genet Branch, NIH, Bethesda, MD 20892 USA
[16] Seoul Natl Univ, Res Inst Basic Sci, Seoul 08826, South Korea
[17] Univ Chicago, Dept Med, Sect Genet Med, Chicago, IL 60637 USA
[18] Seoul Natl Univ, Interdisciplinary Program Bioinformat, Seoul 08826, South Korea
[19] Complete Genom, Mountain View, CA 95134 USA
[20] Invitae, San Francisco, CA 94103 USA
[21] Univ Colorado, Colorado Sch Publ Hlth, Dept Epidemiol, Aurora, CO 80045 USA
[22] Seoul Natl Univ, Dept Stat, Seoul 08826, South Korea
[23] Korea Natl Inst Hlth, Ctr Genome Sci, Chungcheongbuk Do 28159, South Korea
[24] Natl Univ Singapore, Natl Univ Hlth Syst, Saw Swee Hock Sch Publ Hlth, Singapore 117549, Singapore
[25] Ninewells Hosp & Med Sch, Ctr Mol Med, Clin Res Ctr, Dundee DD1 9SY, Scotland
[26] Univ Liverpool, Dept Biostat, Liverpool L69 3GL, Merseyside, England
[27] Univ Maryland, Sch Med, Dept Med, Baltimore, MD 21201 USA
[28] Univ Maryland, Sch Med, Div Endocrinol Diabet & Nutr, Baltimore, MD 21201 USA
[29] Univ Maryland, Sch Med, Program Personalized & Genom Med, Baltimore, MD 21201 USA
[30] Harvard Med Sch, Dept Genet, Boston, MA 02115 USA
[31] Natl Univ Singapore, Life Sci Inst, Singapore 117549, Singapore
[32] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117549, Singapore
[33] NIDDK, NIH, Bethesda, MD 20892 USA
[34] Univ Chicago, Dept Med, Chicago, IL 60637 USA
[35] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA
[36] Vanderbilt Univ, Sch Med, Vanderbilt Genet Inst, Nashville, TN 37332 USA
[37] Massachusetts Gen Hosp, Dept Mol Biol, Boston, MA 02114 USA
[38] Harvard Med Sch, Dept Med, Boston, MA USA
[39] Massachusetts Gen Hosp, Ctr Genom Med, Dept Med, Boston, MA 02114 USA
[40] Univ N Carolina, Dept Genet, Chapel Hill, NC 27599 USA
[41] Univ Calif San Francisco, Dept Lab Med, San Francisco, CA 94143 USA
[42] Univ Calif San Francisco, Inst Human Genet, San Francisco, CA 94143 USA
[43] Blood Syst Res Inst, San Francisco, CA 94118 USA
[44] Univ Mississippi, Med Ctr, Dept Physiol & Biophys, Jackson, MS 39216 USA
[45] Albert Einstein Coll Med, Dept Med, Bronx, NY 10461 USA
[46] Albert Einstein Coll Med, Dept Genet, Bronx, NY 10461 USA
[47] Univ Haifa, Dept Nat Sci, IL-3498838 Haifa, Israel
[48] Natl Heart Lung & Blood Inst Framingham Heart Stud, Framingham, MA 01702 USA
[49] Univ Texas Hlth Sci Ctr San Antonio, Dept Med, San Antonio, TX 78229 USA
[50] Seoul Natl Univ, Sch Publ Hlth, Seoul 08826, South Korea
基金
英国医学研究理事会; 英国惠康基金; 新加坡国家研究基金会;
关键词
genetics; sequencing; type; 2; diabetes; eQTL; rare variants; GENETIC ARCHITECTURE; ASSOCIATION ANALYSIS; MEXICAN-AMERICANS; RISK-FACTORS; DISEASE; INSIGHTS;
D O I
10.1073/pnas.1705859115
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A major challenge in evaluating the contribution of rare variants to complex disease is identifying enough copies of the rare alleles to permit informative statistical analysis. To investigate the contribution of rare variants to the risk of type 2 diabetes (T2D) and related traits, we performed deep whole-genome analysis of 1,034 members of 20 large Mexican-American families with high prevalence of T2D. If rare variants of large effect accounted for much of the diabetes risk in these families, our experiment was powered to detect association. Using gene expression data on 21,677 transcripts for 643 pedigree members, we identified evidence for large-effect rare-variant c/s-expression quantitative trait loci that could not be detected in population studies, validating our approach. Flowever, we did not identify any rare variants of large effect associated with T2D, or the related traits of fasting glucose and insulin, suggesting that large-effect rare variants account for only a modest fraction of the genetic risk of these traits in this sample of families. Reliable identification of large-effect rare variants will require larger samples of extended pedigrees or different study designs that further enrich for such variants.
引用
收藏
页码:379 / 384
页数:6
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