Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations

Juba Nait Saada; Georgios Kalantzis; Derek Shyr; Fergus Cooper; Martin Robinson; Alexander Gusev; Pier Francesco Palamara

doi:10.1038/s41467-020-19588-x

Nature Communications (Nov 2020)

Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations

Juba Nait Saada,
Georgios Kalantzis,
Derek Shyr,
Fergus Cooper,
Martin Robinson,
Alexander Gusev,
Pier Francesco Palamara

Affiliations

Juba Nait Saada: Department of Statistics, University of Oxford
Georgios Kalantzis: Department of Statistics, University of Oxford
Derek Shyr: Department of Biostatistics, Harvard T.H. Chan School of Public Health
Fergus Cooper: Department of Computer Science, University of Oxford
Martin Robinson: Department of Computer Science, University of Oxford
Alexander Gusev: Brigham & Women’s Hospital, Division of Genetics
Pier Francesco Palamara: Department of Statistics, University of Oxford

DOI: https://doi.org/10.1038/s41467-020-19588-x
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 15

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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