Testing the role of predicted gene knockouts in human anthropometric trait variation

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Testing the role of predicted gene knockouts in human anthropometric trait variation

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Title: Testing the role of predicted gene knockouts in human anthropometric trait variation
Author: Lessard, Samuel; Manning, Alisa K.; Low-Kam, Cécile; Auer, Paul L.; Giri, Ayush; Graff, Mariaelisa; Schurmann, Claudia; Yaghootkar, Hanieh; Luan, Jian'an; Esko, Tonu; Karaderi, Tugce; Bottinger, Erwin P.; Lu, Yingchang; Carlson, Chris; Caulfield, Mark; Dubé, Marie-Pierre; Jackson, Rebecca D.; Kooperberg, Charles; McKnight, Barbara; Mongrain, Ian; Peters, Ulrike; Reiner, Alex P.; Rhainds, David; Sotoodehnia, Nona; Hirschhorn, Joel N.; Scott, Robert A.; Munroe, Patricia B.; Frayling, Timothy M.; Loos, Ruth J.F.; North, Kari E.; Edwards, Todd L.; Tardif, Jean-Claude; Lindgren, Cecilia M.; Lettre, Guillaume

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Citation: Lessard, S., A. K. Manning, C. Low-Kam, P. L. Auer, A. Giri, M. Graff, C. Schurmann, et al. 2016. “Testing the role of predicted gene knockouts in human anthropometric trait variation.” Human Molecular Genetics 25 (10): 2082-2092. doi:10.1093/hmg/ddw055. http://dx.doi.org/10.1093/hmg/ddw055.
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Abstract: Although the role of complete gene inactivation by two loss-of-function mutations inherited in trans is well-established in recessive Mendelian diseases, we have not yet explored how such gene knockouts (KOs) could influence complex human phenotypes. Here, we developed a statistical framework to test the association between gene KOs and quantitative human traits. Our method is flexible, publicly available, and compatible with common genotype format files (e.g. PLINK and vcf). We characterized gene KOs in 4498 participants from the NHLBI Exome Sequence Project (ESP) sequenced at high coverage (>100×), 1976 French Canadians from the Montreal Heart Institute Biobank sequenced at low coverage (5.7×), and >100 000 participants from the Genetic Investigation of ANthropometric Traits (GIANT) Consortium genotyped on an exome array. We tested associations between gene KOs and three anthropometric traits: body mass index (BMI), height and BMI-adjusted waist-to-hip ratio (WHR). Despite our large sample size and multiple datasets available, we could not detect robust associations between specific gene KOs and quantitative anthropometric traits. Our results highlight several limitations and challenges for future gene KO studies in humans, in particular when there is no prior knowledge on the phenotypes that might be affected by the tested gene KOs. They also suggest that gene KOs identified with current DNA sequencing methodologies probably do not strongly influence normal variation in BMI, height, and WHR in the general human population.
Published Version: doi:10.1093/hmg/ddw055
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062577/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:29408302
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