Medical sequencing at the extremes of human body mass

被引:171
作者
Ahituv, Nadav
Kavaslar, Nihan
Schackwitz, Wendy
Ustaszewska, Anna
Martin, Joel
Hebert, Sybil
Doelle, Heather
Ersoy, Baran
Kryukov, Gregory
Schmidt, Steffen
Yosef, Nir
Ruppin, Eytan
Sharan, Roded
Vaisse, Christian
Sunyaev, Shamil
Dent, Robert
Cohen, Jonathan
McPherson, Ruth
Pennacchio, Len A.
机构
[1] Lawrence Berkeley Natl Lab, Genom Div, Berkeley, CA 94720 USA
[2] US Dept Energy Joint Genome Inst, Walnut Creek, CA USA
[3] Univ Ottawa, Inst Heart, Div Cardiol, Ottawa, ON K1N 6N5, Canada
[4] Univ Ottawa, Inst Heart, Atherosclerosis Res Grp, Ottawa, ON K1N 6N5, Canada
[5] Univ Calif San Francisco, Ctr Diabet, San Francisco, CA 94143 USA
[6] Brigham & Womens Hosp, Dept Med, Div Genet, Boston, MA 02115 USA
[7] Harvard Univ, Sch Med, Boston, MA 02115 USA
[8] Tel Aviv Univ, Sch Comp Sci, IL-69978 Tel Aviv, Israel
[9] Tel Aviv Univ, Sch Med, IL-69978 Tel Aviv, Israel
[10] Univ Texas, Ctr Human Nutr, Dallas, TX 75230 USA
[11] Univ Texas, McDermott Ctr Human Growth & Dev, Ctr Med, Dallas, TX 75230 USA
关键词
D O I
10.1086/513471
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Body weight is a quantitative trait with significant heritability in humans. To identify potential genetic contributors to this phenotype, we resequenced the coding exons and splice junctions of 58 genes in 379 obese and 378 lean individuals. Our 96-Mb survey included 21 genes associated with monogenic forms of obesity in humans or mice, as well as 37 genes that function in body weight-related pathways. We found that the monogenic obesity-associated gene group was enriched for rare nonsynonymous variants unique to the obese population compared with the lean population. In addition, computational analysis predicted a greater fraction of deleterious variants within the obese cohort. Together, these data suggest that multiple rare alleles contribute to obesity in the population and provide a medical sequencing-based approach to detect them.
引用
收藏
页码:779 / 791
页数:13
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