Research Article

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

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Science  13 Apr 2018:
Vol. 360, Issue 6385, pp. 171-175
DOI: 10.1126/science.aam9309

Article Information

vol. 360 no. 6385 171-175

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History: 
  • Received for publication February 7, 2017
  • Resubmitted November 2, 2017
  • Accepted for publication February 7, 2018

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Author Information

  1. Joanna Kaplanis1,2,*,
  2. Assaf Gordon1,2,*,
  3. Tal Shor3,4,
  4. Omer Weissbrod5,
  5. Dan Geiger4,
  6. Mary Wahl1,2,6,
  7. Michael Gershovits2,
  8. Barak Markus2,
  9. Mona Sheikh2,
  10. Melissa Gymrek1,2,7,8,9,
  11. Gaurav Bhatia10,11,
  12. Daniel G. MacArthur7,9,10,
  13. Alkes L. Price10,11,12,
  14. Yaniv Erlich1,2,3,13,14,
  1. 1New York Genome Center, New York, NY 10013, USA.
  2. 2Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  3. 3MyHeritage, Or Yehuda 6037606, Israel.
  4. 4Computer Science Department, Technion–Israel Institute of Technology, Haifa 3200003, Israel.
  5. 5Computer Science Department, Weizmann Institute of Science, Rehovot 7610001, Israel.
  6. 6Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
  7. 7Harvard Medical School, Boston, MA 02115, USA.
  8. 8Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02142, USA.
  9. 9Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  10. 10Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  11. 11Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.
  12. 12Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
  13. 13Department of Computer Science, Fu Foundation School of Engineering, Columbia University, New York, NY, USA.
  14. 14Center for Computational Biology and Bioinformatics, Department of Systems Biology, Columbia University, New York, NY, USA.
  1. Corresponding author. Email: erlichya{at}gmail.com
  1. * These authors contributed equally to this work.

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Article usage: February 2018 to June 2019

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Feb 2018453
Mar 2018903512718813281
Apr 20181058536183223
May 20182558332377
Jun 20181581178188
Jul 20181496137132
Aug 2018109220489
Sep 2018934274138
Oct 20181926385162
Nov 2018114427396
Dec 201891420079
Jan 2019990229103
Feb 201973419581
Mar 2019130024895
Apr 2019317586108
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Jun 201928972113

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