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Cited by 268

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Distance from sub-Saharan Africa predicts mutational load in diverse human genomes

Open access
Henn, Brenna M., Botigué, Laura R., Peischl, Stephan, Dupanloup, Isabelle, Lipatov, Mikhail, Maples, Brian K., Martin, Alicia R., Musharoff, Shaila, Cann, Howard, Snyder, Michael P., Excoffier, Laurent, Kidd, Jeffrey M., Bustamante, Carlos D.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: Human genomes carry hundreds of mutations that are predicted to be deleterious in some environments, potentially affecting the health or fitness of an individual. We characterize the distribution of deleterious mutations among diverse human populations, modeled under different selection coefficients and dominance parameters. Using a new dataset of diverse human genomes from seven different populations, we use spatially explicit simulations to reveal that classes of deleterious alleles have very different patterns across populations, reflecting the interaction between genetic drift and purifying selection. We show that there is a strong signal of purifying selection at conserved genomic positions within African populations, but most predicted deleterious mutations have evolved as if they were neutral during the expansion out of Africa.

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Metadata

Authors
Henn, B. M., Botigué, L. R., Peischl, S., Dupanloup, I., Lipatov, M., Maples, B. K., Martin, A. R., Musharoff, S., Cann, H., Snyder, M. P., Excoffier, L., Kidd, J. M., & Bustamante, C. D.
Venue
Proceedings of the National Academy of Sciences
Published
2015-12-28
Volume
113
Issue
4
Pages
E440-9
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2217029310
Cited by
268
References
18
FWCI
18.50
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Distance from sub-Saharan Africa predicts mutational load in diverse human genomes. https://app.cochat.ai/papers/10.1073/pnas.1510805112
The paper
Henn, B. M., Botigué, L. R., Peischl, S., Dupanloup, I., Lipatov, M., Maples, B. K., Martin, A. R., Musharoff, S., Cann, H., Snyder, M. P., Excoffier, L., Kidd, J. M., & Bustamante, C. D. (2016). Distance from sub-Saharan Africa predicts mutational load in diverse human genomes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1510805112

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.