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Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations.
Nait Saada, Juba; Kalantzis, Georgios; Shyr, Derek; Cooper, Fergus; Robinson, Martin; Gusev, Alexander; Palamara, Pier Francesco.
Afiliação
  • Nait Saada J; Department of Statistics, University of Oxford, Oxford, UK. juba.naitsaada@stats.ox.ac.uk.
  • Kalantzis G; Department of Statistics, University of Oxford, Oxford, UK.
  • Shyr D; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Cooper F; Department of Computer Science, University of Oxford, Oxford, UK.
  • Robinson M; Department of Computer Science, University of Oxford, Oxford, UK.
  • Gusev A; Brigham & Women's Hospital, Division of Genetics, Boston, MA, 02215, USA.
  • Palamara PF; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Nat Commun ; 11(1): 6130, 2020 11 30.
Article em En | MEDLINE | ID: mdl-33257650
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Branca / Genética Populacional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Nat Commun Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Branca / Genética Populacional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Nat Commun Ano de publicação: 2020 Tipo de documento: Article