Evidence map›Paper›PMID 29526279›Full record

ArticleAmerican journal of human genetics2018

Whole-Genome-Sequence-Based Haplotypes Reveal Single Origin of the Sickle Allele during the Holocene Wet Phase.

Daniel Shriner, Charles N Rotimi

Abstract read
In one paragraph

Article in American journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. When sickle cell trait is not just trait: risk of VTE.Hematology. American Society of Hematology. Education Program · 2025
    Review
  5. Article
  6. Likelihoods for a general class of ARGs under the SMC.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. The function of antibodies.Immunological reviews · 2024
    Review
  9. Sickle Cell Disease.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2024
    Review
  10. Review
  11. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA. Electronic address: rotimic@mail.nih.gov.

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Intramural NIH HHS ZIA HG200362
6 · The paper itself

Abstract

Five classical designations of sickle haplotypes are made on the basis of the presence or absence of restriction sites and are named after the ethno-linguistic groups or geographic regions from which the individuals with sickle cell anemia originated. Each haplotype is thought to represent an independent occurrence of the sickle mutation rs334 (c.20A>T [p.Glu7Val] in HBB). We investigated the origins of the sickle mutation by using whole-genome-sequence data. We identified 156 carriers from the 1000 Genomes Project, the African Genome Variation Project, and Qatar. We classified haplotypes by using 27 polymorphisms in linkage disequilibrium with rs334. Network analysis revealed a common haplotype that differed from the ancestral haplotype only by the derived sickle mutation at rs334 and correlated collectively with the Central African Republic (CAR), Cameroon, and Arabian/Indian haplotypes. Other haplotypes were derived from this haplotype and fell into two clusters, one composed of Senegal haplotypes and the other composed of Benin and Senegal haplotypes. The near-exclusive presence of the original sickle haplotype in the CAR, Kenya, Uganda, and South Africa is consistent with this haplotype predating the Bantu expansions. Modeling of balancing selection indicated that the heterozygote advantage was 15.2%, an equilibrium frequency of 12.0% was reached after 87 generations, and the selective environment predated the mutation. The posterior distribution of the ancestral recombination graph yielded a sickle mutation age of 259 generations, corresponding to 7,300 years ago during the Holocene Wet Phase. These results clarify the origin of the sickle allele and improve and simplify the classification of sickle haplotypes.

Indexed as

AllelesWhole Genome SequencingAnemia, Sickle CellBase SequenceComputational BiologyGenetic MarkersHaplotypesHumansLinkage DisequilibriumMolecular Sequence AnnotationPhylogenyRestriction MappingSelection, GeneticTime FactorsGenetic Markersancestral recombination graphbalancing selectionGreen Saharahaplotypesickle

Identifiers

PMID29526279
PMCPMC5985360

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.