Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations.
Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations.
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DOI:
10.1038/s41467-020-19588-x
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发表时间:
2020-11-30
影响因子:
16.6
通讯作者:
Palamara PF
中科院分区:
文献类型:
--
作者:
Nait Saada J;Kalantzis G;Shyr D;Cooper F;Robinson M;Gusev A;Palamara PF
Detection of Identical-By-Descent (IBD) segments provides a fundamental measure of genetic relatedness and plays a key role in a wide range of analyses. We develop FastSMC, an IBD detection algorithm that combines a fast heuristic search with accurate coalescent-based likelihood calculations. FastSMC enables biobank-scale detection and dating of IBD segments within several thousands of years in the past. We apply FastSMC to 487,409 UK Biobank samples and detect ~214 billion IBD segments transmitted by shared ancestors within the past 1500 years, obtaining a fine-grained picture of genetic relatedness in the UK. Sharing of common ancestors strongly correlates with geographic distance, enabling the use of genomic data to localize a sample’s birth coordinates with a median error of 45 km. We seek evidence of recent positive selection by identifying loci with unusually strong shared ancestry and detect 12 genome-wide significant signals. We devise an IBD-based test for association between phenotype and ultra-rare loss-of-function variation, identifying 29 association signals in 7 blood-related traits. Accurately measuring genetic relatedness by Identical-By-Descent (IBD) segments is challenging in biobank-level genome data. The authors present IBD method FastSMC, which when applied to the UK Biobank gives a detailed picture of genetic relatedness and evolutionary history in the UK over the past 2000 years.
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影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
DOI:
10.1056/nejmsr1809937
发表时间:
2019-08-15
期刊:
The New England journal of medicine
影响因子:
--
作者:
All of Us Research Program Investigators;Denny JC;Rutter JL;Goldstein DB;Philippakis A;Smoller JW;Jenkins G;Dishman E
通讯作者:
Dishman E
影响因子:
9.8
作者:
Browning, Sharon R.;Browning, Brian L.
通讯作者:
Browning, Brian L.
影响因子:
9.8
作者:
Gusev, Alexander;Kenny, Eimear E.;Pe'er, Itsik
通讯作者:
Pe'er, Itsik
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