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Distance from Sub-Saharan Africa Predicts Mutational Load in Diverse Human Genomes

Brenna M. Henn, Laura R Botigue, Stephan Peischl, Isabelle Dupanloup, Mikhail Lipatov, Brian K Maples, Alicia R Martin, Shaila Musharoff, Howard Cann, Michael Snyder, Laurent Excoffier, Jeffrey Kidd, Carlos D Bustamante
doi: https://doi.org/10.1101/019711
Brenna M. Henn
Stony Brook University, SUNY, Department of Ecology and Evolution;
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Laura R Botigue
Stony Brook University, SUNY, Department of Ecology and Evolution;
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Stephan Peischl
Institute of Ecology and Evolution, University of Berne, Berne, Switzerland;
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Isabelle Dupanloup
Institute of Ecology and Evolution, University of Berne, Berne, Switzerland;
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Mikhail Lipatov
Stony Brook University, SUNY, Department of Ecology and Evolution;
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Brian K Maples
Stanford University School of Medicine, Department of Genetics, Stanford,;
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Alicia R Martin
Stanford University School of Medicine, Department of Genetics, Stanford,;
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Shaila Musharoff
Stanford University School of Medicine, Department of Genetics, Stanford,;
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Howard Cann
Foundation Jean Dausset, Centre d'Etude du Polymorphisme Humain, Paris, France;
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Michael Snyder
Stanford University School of Medicine, Department of Genetics, Stanford,;
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Laurent Excoffier
Institute of Ecology and Evolution, University of Berne, Berne, Switzerland;
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Jeffrey Kidd
University of Michigan
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Carlos D Bustamante
Stanford University School of Medicine, Department of Genetics, Stanford,;
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Abstract

The Out-of-Africa (OOA) dispersal ~50,000 years ago is characterized by a series of founder events as modern humans expanded into multiple continents. Population genetics theory predicts an increase of mutational load in populations undergoing serial founder effects during range expansions. To test this hypothesis, we have sequenced full genomes and high-coverage exomes from 7 geographically divergent human populations from Namibia, Congo, Algeria, Pakistan, Cambodia, Siberia and Mexico. We find that individual genomes vary modestly in the overall number of predicted deleterious alleles. We show via spatially explicit simulations that the observed distribution of deleterious allele frequencies is consistent with the OOA dispersal, particularly under a model where deleterious mutations are recessive. We conclude that there is a strong signal of purifying selection at conserved genomic positions within Africa, but that many predicted deleterious mutations have evolved as if they were neutral during the expansion out of Africa. Under a model where selection is inversely related to dominance, we show that OOA populations are likely to have a higher mutation load due to increased allele frequencies of nearly neutral variants that are recessive or partially recessive.

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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.
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  • Posted May 22, 2015.

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Distance from Sub-Saharan Africa Predicts Mutational Load in Diverse Human Genomes
Brenna M. Henn, Laura R Botigue, Stephan Peischl, Isabelle Dupanloup, Mikhail Lipatov, Brian K Maples, Alicia R Martin, Shaila Musharoff, Howard Cann, Michael Snyder, Laurent Excoffier, Jeffrey Kidd, Carlos D Bustamante
bioRxiv 019711; doi: https://doi.org/10.1101/019711
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Distance from Sub-Saharan Africa Predicts Mutational Load in Diverse Human Genomes
Brenna M. Henn, Laura R Botigue, Stephan Peischl, Isabelle Dupanloup, Mikhail Lipatov, Brian K Maples, Alicia R Martin, Shaila Musharoff, Howard Cann, Michael Snyder, Laurent Excoffier, Jeffrey Kidd, Carlos D Bustamante
bioRxiv 019711; doi: https://doi.org/10.1101/019711

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