PT  - JOURNAL ARTICLE
AU  - Joanna Kaplanis
AU  - Assaf Gordon
AU  - Mary Wahl
AU  - Michael Gershovits
AU  - Barak Markus
AU  - Mona Sheikh
AU  - Melissa Gymrek
AU  - Gaurav Bhatia
AU  - Daniel G. MacArthur
AU  - Alkes L. Price
AU  - Yaniv Erlich
TI  - Quantitative analysis of population-scale family trees using millions of relatives
AID  - 10.1101/106427
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 106427
4099  - http://biorxiv.org/content/early/2017/02/07/106427.short
4100  - http://biorxiv.org/content/early/2017/02/07/106427.full
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.