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Quantitative analysis of population-scale family trees with millions of relatives

Authors :
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
Source :
Science (New York, N.Y.), vol 360, iss 6385
Publication Year :
2018
Publisher :
eScholarship, University of California, 2018.

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.

Details

Database :
OpenAIRE
Journal :
Science (New York, N.Y.), vol 360, iss 6385
Accession number :
edsair.od.......325..5371d000871c75092e77a4e8dec21e18