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

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 pu...

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Published inScience (American Association for the Advancement of Science) Vol. 360; no. 6385; pp. 171 - 175
Main 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
Format Journal Article
LanguageEnglish
Published United States The American Association for the Advancement of Science 13.04.2018
Subjects
Anthropology
Architecture
Data Use
Datasets as Topic
Family
Family (Sociological Unit)
Family trees
Genealogy
Genealogy and Heraldry
Genetic diversity
Genetic effects
Genetics
Heredity
Heritability
Humans
Life span
Longevity
Migration
Migration Patterns
Models, Genetic
Pedigree
Population
Quantitative analysis
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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.
AbstractList Quantitative analysis of millions of relativesHuman relationships, as documented by family trees, can elucidate the heritability of a host of medical and biological parameters. Kaplanis et al. collected 86 million publicly available profiles from a crowd-sourced genealogy website and used them to examine the genetic architecture of human longevity and migration patterns (see the Perspective by Lussier and Keinan). Various models of inheritance suggested that life span is predominantly attributable to additive genetic effects, with a smaller component from dominant genetic inheritance. The data also suggested that relatedness between individuals is less attributable to advances in human transportation than to cultural changes.Science, this issue p. 171; see also p. 153Family 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.
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 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 longevity by inspecting millions of relative pairs and to provide insights into the geographical 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. Using massive crowd-sourced genealogy data, we created a population-scale family tree resource for scientific studies.
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.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.
Human relationships, as documented by family trees, can elucidate the heritability of a host of medical and biological parameters. Kaplanis et al. collected 86 million publicly available profiles from a crowd-sourced genealogy website and used them to examine the genetic architecture of human longevity and migration patterns (see the Perspective by Lussier and Keinan). Various models of inheritance suggested that life span is predominantly attributable to additive genetic effects, with a smaller component from dominant genetic inheritance. The data also suggested that relatedness between individuals is less attributable to advances in human transportation than to cultural changes. Science , this issue p. 171 ; see also p. 153 Crowdsourced genealogy data are useful for testing genetic hypotheses. 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.
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.
Author Weissbrod, Omer
Wahl, Mary
Bhatia, Gaurav
Kaplanis, Joanna
Erlich, Yaniv
Gordon, Assaf
Sheikh, Mona
Shor, Tal
Price, Alkes L
Markus, Barak
MacArthur, Daniel G
Gershovits, Michael
Gymrek, Melissa
Geiger, Dan
AuthorAffiliation 3 MyHeritage, Or Yehuda 6037606, Israel
6 Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
11 Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
14 Center for Computational Biology and Bioinformatics (C2B2), Department of Systems Biology, Columbia University, New York, NY, USA
12 Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
9 Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
2 Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
7 Harvard Medical School, Boston, MA 02115, USA
4 Computer Science Department, Technion - Israel Institute of Technology, Haifa 3200003 Israel
1 New York Genome Center, New York, NY 10013, USA
5 Computer Science Department, Weizmann Institute of Science, Rehovot 7610001, Israel
13 Department of Computer Science, Fu Foundation School of Engineering, Columbia University, New York, NY, USA
10
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/29496957$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works
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These authors equally contributed to this manuscript.
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Snippet Family trees have vast applications in fields as diverse as genetics, anthropology, and economics. However, the collection of extended family trees is tedious...
Human relationships, as documented by family trees, can elucidate the heritability of a host of medical and biological parameters. Kaplanis et al. collected 86...
Quantitative analysis of millions of relativesHuman relationships, as documented by family trees, can elucidate the heritability of a host of medical and...
Family trees have vast applications in multiple fields from genetics to anthropology and economics. However, the collection of extended family trees is tedious...
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SubjectTerms Anthropology
Architecture
Data Use
Datasets as Topic
Family
Family (Sociological Unit)
Family trees
Genealogy
Genealogy and Heraldry
Genetic diversity
Genetic effects
Genetics
Heredity
Heritability
Humans
Life span
Longevity
Migration
Migration Patterns
Models, Genetic
Pedigree
Population
Quantitative analysis
Title Quantitative analysis of population-scale family trees with millions of relatives
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