Abstract

Background

Recombination maps are  important resources for epidemiological and evolutionary analyses; however, there are currently no recombination maps representing any African population outside of those with West African ancestry. We infer the demographic history for the Nama, an indigenous Khoe-San population of southern Africa, and derive a novel, population-specific recombination map from the whole genome sequencing of 54 Nama individuals. We hypothesise that there are no publicly available recombination maps representative of the Nama, considering the deep population divergence and subsequent isolation of the Khoe-San from other African groups.

Results

We show that the recombination landscape of the Nama does not cluster with any continental groups with publicly available representative recombination maps. Finally, we use selection scans as an example of how fine-scale differences between the Nama recombination map and the combined Phase II HapMap recombination map can impact the outcome of selection scans.

Conclusions

Fine-scale differences in recombination can meaningfully alter the results of a selection scan. The recombination map we infer likely represents an upper bound on the extent of divergence we expect to see for a recombination map in humans and would be of interest to any researcher that wants to test the sensitivity of population genetic or GWAS analysis to recombination map input.

Details

Title
The recombination landscape of the Khoe-San likely represents the upper limits of recombination divergence in humans
Author
Gerald van Eeden  VIAFID ORCID Logo  ; Uren, Caitlin  VIAFID ORCID Logo  ; Pless, Evlyn  VIAFID ORCID Logo  ; Mastoras, Mira  VIAFID ORCID Logo  ; Gian D. van der Spuy  VIAFID ORCID Logo  ; Tromp, Gerard  VIAFID ORCID Logo  ; Henn, Brenna M  VIAFID ORCID Logo  ; Möller, Marlo
Pages
1-14
Section
Research
Publication year
2022
Publication date
2022
Publisher
BioMed Central
ISSN
14747596
e-ISSN
1474760X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2704064087
Copyright
© 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.