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Detecting recent positive selection in the human genome from haplotype structure

Author

Listed:
  • Pardis C. Sabeti

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center
    University of Oxford
    Harvard Medical School)

  • David E. Reich

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • John M. Higgins

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Haninah Z. P. Levine

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Daniel J. Richter

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Stephen F. Schaffner

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Stacey B. Gabriel

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Jill V. Platko

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Nick J. Patterson

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Gavin J. McDonald

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center)

  • Hans C. Ackerman

    (Wellcome Trust Centre for Human Genetics)

  • Sarah J. Campbell

    (Wellcome Trust Centre for Human Genetics)

  • David Altshuler

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center
    Massachusetts General Hospital)

  • Richard Cooper

    (Loyola University Medical School)

  • Dominic Kwiatkowski

    (Wellcome Trust Centre for Human Genetics)

  • Ryk Ward

    (University of Oxford)

  • Eric S. Lander

    (Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center
    MIT)

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: G6PD1 and CD40 ligand2. 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.

Suggested Citation

  • Pardis C. Sabeti & David E. Reich & John M. Higgins & Haninah Z. P. Levine & Daniel J. Richter & Stephen F. Schaffner & Stacey B. Gabriel & Jill V. Platko & Nick J. Patterson & Gavin J. McDonald & Han, 2002. "Detecting recent positive selection in the human genome from haplotype structure," Nature, Nature, vol. 419(6909), pages 832-837, October.
  • Handle: RePEc:nat:nature:v:419:y:2002:i:6909:d:10.1038_nature01140
    DOI: 10.1038/nature01140
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    Cited by:

    1. Bing Guo & Victor Borda & Roland Laboulaye & Michele D. Spring & Mariusz Wojnarski & Brian A. Vesely & Joana C. Silva & Norman C. Waters & Timothy D. O’Connor & Shannon Takala-Harrison, 2024. "Strong positive selection biases identity-by-descent-based inferences of recent demography and population structure in Plasmodium falciparum," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Xinkai Tong & Dong Chen & Jianchao Hu & Shiyao Lin & Ziqi Ling & Huashui Ai & Zhiyan Zhang & Lusheng Huang, 2023. "Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Rafajlović, M. & Klassmann, A. & Eriksson, A. & Wiehe, T. & Mehlig, B., 2014. "Demography-adjusted tests of neutrality based on genome-wide SNP data," Theoretical Population Biology, Elsevier, vol. 95(C), pages 1-12.
    4. Champagnat, Nicolas & Lambert, Amaury, 2013. "Splitting trees with neutral Poissonian mutations II: Largest and oldest families," Stochastic Processes and their Applications, Elsevier, vol. 123(4), pages 1368-1414.
    5. Yupeng Sang & Zhiqin Long & Xuming Dan & Jiajun Feng & Tingting Shi & Changfu Jia & Xinxin Zhang & Qiang Lai & Guanglei Yang & Hongying Zhang & Xiaoting Xu & Huanhuan Liu & Yuanzhong Jiang & Pär K. In, 2022. "Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    6. Chen, Hua & Hey, Jody & Slatkin, Montgomery, 2015. "A hidden Markov model for investigating recent positive selection through haplotype structure," Theoretical Population Biology, Elsevier, vol. 99(C), pages 18-30.

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