Cited by 2,106Forensic and Genetic ResearchGenetic Associations and EpidemiologyEvolution and Genetic Dynamics

Detecting recent positive selection in the human genome from haplotype structure

Sabeti, Pardis C., Reich, David E., Higgins, John M., Levine, Haninah Z. P., Richter, Daniel J., Schaffner, Stephen F., Gabriel, Stacey B., Platko, Jill V. +9 more·2002·Nature

Abstract

The ability to detect recent natural selection in the human population would have profound implications for the study of human history and for medicine. Here, we introduce a framework for detecting the genetic imprint of recent positive selection by analysing long-range haplotypes in human populations. We first identify haplotypes at a locus of interest (core haplotypes). We then assess the age of each core haplotype by the decay of its association to alleles at various distances from the locus, as measured by extended haplotype homozygosity (EHH). Core haplotypes that have unusually high EHH and a high population frequency indicate the presence of a mutation that rose to prominence in the human gene pool faster than expected under neutral evolution. We applied this approach to investigate selection at two genes carrying common variants implicated in resistance to malaria: G6PD and CD40 ligand. At both loci, the core haplotypes carrying the proposed protective mutation stand out and show significant evidence of selection. More generally, the method could be used to scan the entire genome for evidence of recent positive selection.

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Crossref · 10.1038/nature01140

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  • Sabeti et al. and Voight et al. developed computationally efficient methods for detecting evidence of selection in whole genomes and applied them to the HapMap populations.

    “Recently, Sabeti et al.99,100 and Voight et al.101 developed computationally efficient methods for detecting evidence of selection in whole genomes and have applied those methods to the HapMap populations.”

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Authors
Sabeti, P. C., Reich, D. E., Higgins, J. M., Levine, H. Z. P., Richter, D. J., Schaffner, S. F., Gabriel, S. B., Platko, J. V., Patterson, N. J., McDonald, G. J., Ackerman, H. C., Campbell, S. J., Altshuler, D., Cooper, R., Kwiatkowski, D., Ward, R., & Lander, E. S.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Centre for Human Genetics (GB)
  • Harvard University (US)
  • Loyola University Medical Center (US)
  • University of Oxford (GB)
Corresponding author
Lander, Eric S.
Venue
Nature
Published
2002-10
Volume
419
Issue
6909
Pages
832-837
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2055543630
Cited by
2,106
References
1
Citations by year
2026: 44 · 2025: 73 · 2024: 109 · 2023: 82 · 2022: 83 · 2021: 122 · 2020: 101 · 2019: 70 · 2018: 83 · 2017: 95 · 2016: 106 · 2015: 117 · 2014: 98 · 2013: 94 · 2012: 84
FWCI
32.11
Type
journal article
Language
en
Open access
closed
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Civil War Book Review (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
Keywords
extended haplotype homozygosity, glucose-6-phosphate dehydrogenase, CD40 ligand, malaria resistance, human population genetics, selection detection
MeSH terms
Africa, Alleles, Animals, Computer Simulation, Gene Pool, Glucosephosphate Dehydrogenase, Haplotypes, Homozygote, Humans, Malaria, Male, Mutation, Plasmodium falciparum, Selection, Genetic, Time Factors, Genetic Variation, Genome, Human, Evolution, Molecular, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, CD40 Ligand

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