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

Joanna Kaplanis, Assaf Gordon, Mary Wahl, Michael Gershovits, Barak Markus, Mona Sheikh, Melissa Gymrek, Gaurav Bhatia, Daniel G MarArthur, Alkes Price, View ORCID ProfileYaniv Erlich
doi: https://doi.org/10.1101/106427
Joanna Kaplanis
Whitehead Institute for Biomedical Research;
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Assaf Gordon
New York Genome Center;
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Mary Wahl
New York Genome Center;
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Michael Gershovits
Whitehead Institute for Biomedical Research;
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Barak Markus
Whitehead Institute for Biomedical Research;
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Mona Sheikh
Whitehead Institute for Biomedical Research;
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Melissa Gymrek
Whitehead Institute for Biomedical Research;
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Gaurav Bhatia
Department of Epidemiology, Harvard School of Public Health;
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Daniel G MarArthur
Analytic and Translational Genetics Unit, Massachusetts General Hospital;
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Alkes Price
Department of Epidemiology, Harvard School of Public Health;
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Yaniv Erlich
Columbia University
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  • ORCID record for Yaniv Erlich
  • For correspondence: yaniv@cs.columbia.edu
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Abstract

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.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted February 07, 2017.
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Quantitative analysis of population-scale family trees using millions of relatives
Joanna Kaplanis, Assaf Gordon, Mary Wahl, Michael Gershovits, Barak Markus, Mona Sheikh, Melissa Gymrek, Gaurav Bhatia, Daniel G MarArthur, Alkes Price, Yaniv Erlich
bioRxiv 106427; doi: https://doi.org/10.1101/106427
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Quantitative analysis of population-scale family trees using millions of relatives
Joanna Kaplanis, Assaf Gordon, Mary Wahl, Michael Gershovits, Barak Markus, Mona Sheikh, Melissa Gymrek, Gaurav Bhatia, Daniel G MarArthur, Alkes Price, Yaniv Erlich
bioRxiv 106427; doi: https://doi.org/10.1101/106427

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