RT Journal Article
SR Electronic
T1 Quantitative analysis of population-scale family trees using millions of relatives
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 106427
DO 10.1101/106427
A1 Joanna Kaplanis
A1 Assaf Gordon
A1 Mary Wahl
A1 Michael Gershovits
A1 Barak Markus
A1 Mona Sheikh
A1 Melissa Gymrek
A1 Gaurav Bhatia
A1 Daniel G. MacArthur
A1 Alkes L. Price
A1 Yaniv Erlich
YR 2017
UL http://biorxiv.org/content/early/2017/02/07/106427.abstract
AB Family trees have vast applications in multiple fields from genetics to 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. Here, we collected 86 million profiles from publicly-available online data from 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 longevity by inspecting millions of relative pairs and to provide insights to population genetics theories on the dispersion of families. We also report a simple digital procedure to overlay other datasets with our resource in order to empower studies with population-scale genealogical data.One Sentence Summary Using massive crowd-sourced genealogy data, we created a population-scale family tree resource for scientific studies.