Quantitative analysis of population-scale family trees with millions of relatives-Reference-Cited by-同舟云学术

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

Published:2018-04-13 Issue:6385 Volume:360 Page:171-175
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Kaplanis Joanna¹²^ORCID,Gordon Assaf¹²,Shor Tal³⁴^ORCID,Weissbrod Omer⁵^ORCID,Geiger Dan⁴^ORCID,Wahl Mary¹²⁶^ORCID,Gershovits Michael²^ORCID,Markus Barak²,Sheikh Mona²^ORCID,Gymrek Melissa¹²⁷⁸⁹^ORCID,Bhatia Gaurav¹⁰¹¹,MacArthur Daniel G.⁷⁹¹⁰^ORCID,Price Alkes L.¹⁰¹¹¹²,Erlich Yaniv¹²³¹³¹⁴^ORCID

Affiliation:

1. New York Genome Center, New York, NY 10013, USA.

2. Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.

3. MyHeritage, Or Yehuda 6037606, Israel.

4. Computer Science Department, Technion–Israel Institute of Technology, Haifa 3200003, Israel.

5. Computer Science Department, Weizmann Institute of Science, Rehovot 7610001, Israel.

6. Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.

7. Harvard Medical School, Boston, MA 02115, USA.

8. Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02142, USA.

9. Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.

10. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

11. Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.

12. Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.

13. Department of Computer Science, Fu Foundation School of Engineering, Columbia University, New York, NY, USA.

14. Center for Computational Biology and Bioinformatics, Department of Systems Biology, Columbia University, New York, NY, USA.

Abstract

Quantitative analysis of millions of relatives 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

Funder

National Institutes of Health

Israel Science Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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