Global distribution of genomic diversity underscores rich complex history of continental human populations

  1. Adam Auton1,
  2. Katarzyna Bryc1,
  3. Adam R. Boyko1,
  4. Kirk E. Lohmueller1,
  5. John Novembre2,
  6. Andy Reynolds1,
  7. Amit Indap1,
  8. Mark H. Wright1,
  9. Jeremiah D. Degenhardt1,
  10. Ryan N. Gutenkunst1,
  11. Karen S. King3,
  12. Matthew R. Nelson3 and
  13. Carlos D. Bustamante1,4
  1. 1 Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853-2601, USA;
  2. 2 Department of Ecology and Evolutionary Biology, Interdepartmental Program in Bioinformatics, University of California Los Angeles, Los Angeles, California 90024, USA;
  3. 3 Genetics, GlaxoSmithKline, Research Triangle Park, North Carolina 27709, USA

    Abstract

    Characterizing patterns of genetic variation within and among human populations is important for understanding human evolutionary history and for careful design of medical genetic studies. Here, we analyze patterns of variation across 443,434 single nucleotide polymorphisms (SNPs) genotyped in 3845 individuals from four continental regions. This unique resource allows us to illuminate patterns of diversity in previously under-studied populations at the genome-wide scale including Latin America, South Asia, and Southern Europe. Key insights afforded by our analysis include quantifying the degree of admixture in a large collection of individuals from Guadalajara, Mexico; identifying language and geography as key determinants of population structure within India; and elucidating a north–south gradient in haplotype diversity within Europe. We also present a novel method for identifying long-range tracts of homozygosity indicative of recent common ancestry. Application of our approach suggests great variation within and among populations in the extent of homozygosity, suggesting both demographic history (such as population bottlenecks) and recent ancestry events (such as consanguinity) play an important role in patterning variation in large modern human populations.

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