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Quantitative analysis of population-scale family trees with millions of relatives.
Kaplanis, Joanna; Gordon, Assaf; Shor, Tal; Weissbrod, Omer; Geiger, Dan; Wahl, Mary; Gershovits, Michael; Markus, Barak; Sheikh, Mona; Gymrek, Melissa; Bhatia, Gaurav; MacArthur, Daniel G; Price, Alkes L; Erlich, Yaniv.
Afiliação
  • Kaplanis J; New York Genome Center, New York, NY 10013, USA.
  • Gordon A; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Shor T; New York Genome Center, New York, NY 10013, USA.
  • Weissbrod O; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Geiger D; MyHeritage, Or Yehuda 6037606, Israel.
  • Wahl M; Computer Science Department, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
  • Gershovits M; Computer Science Department, Weizmann Institute of Science, Rehovot 7610001, Israel.
  • Markus B; Computer Science Department, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
  • Sheikh M; New York Genome Center, New York, NY 10013, USA.
  • Gymrek M; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Bhatia G; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
  • MacArthur DG; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Price AL; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Erlich Y; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Science ; 360(6385): 171-175, 2018 04 13.
Article em En | MEDLINE | ID: mdl-29496957
ABSTRACT
Family trees have vast applications in fields as diverse as genetics, anthropology, and economics. However, the collection of extended family trees is tedious and usually relies on resources with limited geographical scope and complex data usage restrictions. We collected 86 million profiles from publicly available online data shared by genealogy enthusiasts. After extensive cleaning and validation, we obtained population-scale family trees, including a single pedigree of 13 million individuals. We leveraged the data to partition the genetic architecture of human longevity and to provide insights into the geographical dispersion of families. We also report a simple digital procedure to overlay other data sets with our resource.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linhagem / Família / Genealogia e Heráldica / Modelos Genéticos Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linhagem / Família / Genealogia e Heráldica / Modelos Genéticos Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article