Mendelian imputation of parental genotypes improves estimates of direct genetic effects.
Mendelian imputation of parental genotypes improves estimates of direct genetic effects.
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DOI:
10.1038/s41588-022-01085-0
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发表时间:
2022-06
期刊:
影响因子:
30.8
通讯作者:
Kong, Augustine
中科院分区:
文献类型:
--
作者:
Young, Alexander, I;Nehzati, Seyed Moeen;Benonisdottir, Stefania;Okbay, Aysu;Jayashankar, Hariharan;Lee, Chanwook;Cesarini, David;Benjamin, Daniel J.;Turley, Patrick;Kong, Augustine
Effects estimated by genome-wide association studies (GWASs) include effects of alleles in an individual on that individual (direct genetic effects), indirect genetic effects (for example, effects of alleles in parents on offspring through the environment) and bias from confounding. Within-family genetic variation is random, enabling unbiased estimation of direct genetic effects when parents are genotyped. However, parental genotypes are often missing. We introduce a method that imputes missing parental genotypes and estimates direct genetic effects. Our method, implemented in the software package snipar (single-nucleotide imputation of parents), gives more precise estimates of direct genetic effects than existing approaches. Using 39,614 individuals from the UK Biobank with at least one genotyped sibling/parent, we estimate the correlation between direct genetic effects and effects from standard GWASs for nine phenotypes, including educational attainment (r = 0.739, standard error (s.e.) = 0.086) and cognitive ability (r = 0.490, s.e. = 0.086). Our results demonstrate substantial confounding bias in standard GWASs for some phenotypes. snipar is a software package for imputing missing parental genotypes and estimating direct genetic effects. Application to UK Biobank data shows that effects estimated by standard genome-wide association study designs have confounding bias for some phenotypes.
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影响因子:
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作者:
Hwang LD;Tubbs JD;Luong J;Lundberg M;Moen GH;Wang G;Warrington NM;Sham PC;Cuellar-Partida G;Evans DM
通讯作者:
Evans DM
影响因子:
64.8
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Marchini J
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30.8
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通讯作者:
Cesarini D
影响因子:
30.8
作者:
Bulik-Sullivan, Brendan K.;Loh, Po-Ru;Finucane, Hilary K.;Ripke, Stephan;Yang, Jian;Patterson, Nick;Daly, Mark J.;Price, Alkes L.;Neale, Benjamin M.
通讯作者:
Neale, Benjamin M.
影响因子:
30.8
作者:
Loh, Po-Ru;Tucker, George;Bulik-Sullivan, Brendan K.;Vilhjalmsson, Bjarni J.;Finucane, Hilary K.;Salem, Rany M.;Chasman, Daniel I.;Ridker, Paul M.;Neale, Benjamin M.;Berger, Bonnie;Patterson, Nick;Price, Alkes L.
通讯作者:
Price, Alkes L.