Inferring recombination patterns in African populations

Abstract Although several high-resolution recombination maps exist for European-descent populations, the recombination landscape of African populations remains relatively understudied. Given that there is high genetic divergence among groups in Africa, it is possible that recombination hotspots also...

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Bibliographic Details
Published inHuman molecular genetics Vol. 30; no. R1; pp. R11 - R16
Main Authors van Eeden, Gerald, Uren, Caitlin, Möller, Marlo, Henn, Brenna M
Format Journal Article
LanguageEnglish
Published England Oxford University Press 26.04.2021
Subjects
Africa
Blacks - genetics
Decision Trees
Evolution, Molecular
Genome-Wide Association Study
Genomics - methods
Haplotypes
Humans
Invited Review
Polymorphism, Single Nucleotide
Recombination, Genetic
Africa
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Summary:Abstract Although several high-resolution recombination maps exist for European-descent populations, the recombination landscape of African populations remains relatively understudied. Given that there is high genetic divergence among groups in Africa, it is possible that recombination hotspots also diverge significantly. Both limitations and opportunities exist for developing recombination maps for these populations. In this review, we discuss various recombination inference methods, and the strengths and weaknesses of these methods in analyzing recombination in African-descent populations. Furthermore, we provide a decision tree and recommendations for which inference method to use in various research contexts. Establishing an appropriate methodology for recombination rate inference in a particular study will improve the accuracy of various downstream analyses including but not limited to local ancestry inference, haplotype phasing, fine-mapping of GWAS loci and genome assemblies.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
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ObjectType-Review-1
Marlo Möller and Brenna M. Henn Cosenior authors.
Gerald van Eeden and Caitlin Uren Cofirst authors.
ISSN:0964-6906
1460-2083
DOI:10.1093/hmg/ddab020