Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Genetic landscapes reveal how human genetic diversity aligns with geography

View ORCID ProfileBenjamin M Peter, Desislava Petkova, View ORCID ProfileJohn Novembre
doi: https://doi.org/10.1101/233486
Benjamin M Peter
University of Chicago;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Benjamin M Peter
  • For correspondence: benj.pet@gmail.com
Desislava Petkova
Wellcome Trust Center for Human Genetics
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John Novembre
University of Chicago;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for John Novembre
  • Abstract
  • Info/History
  • Metrics
  • Data Supplements
  • Preview PDF
Loading

Abstract

Summarizing spatial patterns in human genetic diversity to understand population history has been a persistent goal for human geneticists. Here, we use a recently developed spatially explicit method to estimate "effective migration" surfaces to visualize how human genetic diversity is geographically structured (the EEMS method). The resulting surfaces are "rugged", which indicates the relationship between genetic and geographic distance is heterogenous and distorted as a rule. Most prominently, topographic and marine features regularly align with increased genetic differentiation (e.g. the Sahara desert, Mediterranean Sea or Himalaya at large scales; the Adriatic, inter-island straits in near Oceania at smaller scales). We also see traces of historical migrations and boundaries of language families. These results provide visualizations of human genetic diversity that reveal local patterns of differentiation in detail and emphasize that while genetic similarity generally decays with geographic distance, there have regularly been factors that subtly distort the underlying relationship across space observed today. The fine-scale population structure depicted here is relevant to understanding complex processes of human population history and may provide insights for geographic patterning in rare variants and heritable disease risk.

Copyright 
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-ND 4.0 International license.
Back to top
PreviousNext
  • Posted December 13, 2017.

Download PDF

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Genetic landscapes reveal how human genetic diversity aligns with geography
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
Genetic landscapes reveal how human genetic diversity aligns with geography
Benjamin M Peter, Desislava Petkova, John Novembre
bioRxiv 233486; doi: https://doi.org/10.1101/233486
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Genetic landscapes reveal how human genetic diversity aligns with geography
Benjamin M Peter, Desislava Petkova, John Novembre
bioRxiv 233486; doi: https://doi.org/10.1101/233486

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (815)
  • Biochemistry (1128)
  • Bioengineering (718)
  • Bioinformatics (5733)
  • Biophysics (1946)
  • Cancer Biology (1383)
  • Cell Biology (1961)
  • Clinical Trials (71)
  • Developmental Biology (1340)
  • Ecology (2060)
  • Epidemiology (1096)
  • Evolutionary Biology (4336)
  • Genetics (3048)
  • Genomics (3931)
  • Immunology (840)
  • Microbiology (3301)
  • Molecular Biology (1221)
  • Neuroscience (8408)
  • Paleontology (62)
  • Pathology (169)
  • Pharmacology and Toxicology (304)
  • Physiology (401)
  • Plant Biology (1143)
  • Scientific Communication and Education (318)
  • Synthetic Biology (469)
  • Systems Biology (1601)
  • Zoology (211)