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bioRxivGeneticsPreprint

Genotype-level quality control substantially reduces error rates in population-scale whole-genome sequencing

V. Kartik ChundruiD, Harrison I. W. WrightiD, Timothy M. FraylingiD, Andrew R. WoodiD, Michael N. WeedoniD, Caroline Fiona WrightiD, Robin N. BeaumontiD, Gareth HawkesiD

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Abstract

Population-scale whole-genome sequencing data will contain many individual-level genotype errors, even after allele-level quality control (QC). We establish the need for genotype-level QC using UK Biobank (N=490,726) and All of Us v8 (N=414,830), where we remove up to 100 million ([~]9%) additional low-quality variants. We demonstrate reduced false positive rate in downstream genetic association studies, highlight the power of parent-offspring trios for QC, and illustrate the need for sex-specific X-chromosome filtering. We provide a QCed All of Us v8 dataset in plink-pgen format, and an efficient pipeline for QC and conversion from VCF to plink-pgen for UK Biobank.

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Nicole M. Roslin, Li Weili, Andrew D. Paterson+1 more·bioRxiv·Sep 30, 2016