Evidence map›Paper›PMID 35945619›Full record

ArticleGenome biology2022

The recombination landscape of the Khoe-San likely represents the upper limits of recombination divergence in humans.

Gerald van Eeden, Caitlin Uren, Evlyn Pless, Mira Mastoras, Gian D van der Spuy, Gerard Tromp, Brenna M Henn, Marlo Möller

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Gerald van EedenDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0002-8944-0162
Caitlin UrenDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0003-2358-0135
Evlyn PlessDepartment of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA.ORCID 0000-0002-6402-3397
Mira MastorasDepartment of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA.ORCID 0000-0001-6897-0116
Gian D van der SpuyDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0002-9067-5903
Gerard TrompDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0002-7761-0806
Brenna M HennDepartment of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA.ORCID 0000-0003-4998-287X
Marlo MöllerDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. marlom@sun.ac.za.
South African Medical Research Council · ZAUniversity of California, Davis · US

Funding

Supplement: Improving Inference of Genetic Architecture and Selection with African GenomesR35GM133531 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HENN, BRENNA M · 2019 to 2023
$2.3M
NIGMS NIH HHS R35 GM133531NIH HHS R35GM133531
6 · The paper itself

Abstract

backgroundRecombination 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.

resultsWe 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.

conclusionsFine-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.

Indexed as

Black PeopleGenetics, PopulationAfrica, SouthernBiological EvolutionHaplotypesHumansGenetic mapKhoe-SanRecombination mapRecombination rateSelection scan

Identifiers

PMID35945619
PMCPMC9361568
OpenAlexW4291019967

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.