Evaluating the estimation of genetic correlation and heritability using summary statistics.
Evaluating the estimation of genetic correlation and heritability using summary statistics.
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DOI:
10.1007/s00438-021-01817-7
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发表时间:
2021-11
期刊:
影响因子:
--
通讯作者:
Schumacher FR
中科院分区:
文献类型:
--
作者:
Zhang J;Schumacher FR
While novel statistical methods quantifying the shared heritability of traits and diseases between ancestral distinct populations have been recently proposed, a thorough evaluation of these approaches under differing circumstances remain elusive. Brown et al. proposed the method Popcorn to estimate the shared heritability, i.e. genetic correlation, using only summary statistics. Here, we evaluate Popcorn under several parameters and circumstances: sample size, number of SNPs, sample size of external reference panel, various population pairs, inappropriate external reference panel, and admixed population involved. Our results determined the minimum sample size of the external reference panel, summary statistics, and number of SNPs required to accurately estimate both the genetic correlation and heritability. Moreover, the number of individuals and SNPs required to produce accurate and stable estimates was directly proportional with heritability in Popcorn. Misrepresentation of the reference panel overestimated the genetic correlation by 20% and heritability by 60%. Lastly, applying Popcorn to homogeneous (EUR) and admixed (ASW) populations underestimated the genetic correlation by 15%. Although statistical approaches estimating the shared heritability between ancestral populations will provide novel etiologic insight, caution is required ensuring results are based on the appropriate sample size, number of SNPs, and the generalizability of the reference panel to the discovery populations. The online version contains supplementary material available at 10.1007/s00438-021-01817-7.
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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.
DOI:
10.1016/j.jaac.2010.06.008
发表时间:
2010-09
影响因子:
13.3
作者:
Neale BM;Medland SE;Ripke S;Asherson P;Franke B;Lesch KP;Faraone SV;Nguyen TT;Schäfer H;Holmans P;Daly M;Steinhausen HC;Freitag C;Reif A;Renner TJ;Romanos M;Romanos J;Walitza S;Warnke A;Meyer J;Palmason H;Buitelaar J;Vasquez AA;Lambregts-Rommelse N;Gill M;Anney RJ;Langely K;O'Donovan M;Williams N;Owen M;Thapar A;Kent L;Sergeant J;Roeyers H;Mick E;Biederman J;Doyle A;Smalley S;Loo S;Hakonarson H;Elia J;Todorov A;Miranda A;Mulas F;Ebstein RP;Rothenberger A;Banaschewski T;Oades RD;Sonuga-Barke E;McGough J;Nisenbaum L;Middleton F;Hu X;Nelson S;Psychiatric GWAS Consortium: ADHD Subgroup
通讯作者:
Psychiatric GWAS Consortium: ADHD Subgroup
影响因子:
9.2
作者:
Chang CC;Chow CC;Tellier LC;Vattikuti S;Purcell SM;Lee JJ
通讯作者:
Lee JJ
影响因子:
30.8
作者:
Horikawa, Y;Oda, N;Bell, GI
通讯作者:
Bell, GI
影响因子:
5.8
作者:
Lee, S. H.;Yang, J.;Wray, N. R.
通讯作者:
Wray, N. R.