Evidence map›Paper›PMID 29045724›Full record

ArticleMolecular biology and evolution2018

Effects of Demographic History on the Detection of Recombination Hotspots from Linkage Disequilibrium.

Amy L Dapper, Bret A Payseur

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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  20. Annual review of genetics · 2023
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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

2 authors.

Amy L DapperLaboratory of Genetics, University of Wisconsin, Madison, WI.
Bret A PayseurLaboratory of Genetics, University of Wisconsin, Madison, WI.

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
The Genetics and Evolution of Extreme Body Size in Mice from Gough IslandR01GM100426 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PAYSEUR, BRET A · 2012 to 2020
$3.6M
Evolution of the Genome-wide Recombination Rate in MiceR01GM120051 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PAYSEUR, BRET A · 2017 to 2020
$2.4M
NHGRI NIH HHS T32 HG002760NIGMS NIH HHS R01 GM100426NIGMS NIH HHS R01 GM120051
6 · The paper itself

Abstract

In some species, meiotic recombination is concentrated in small genomic regions. These "recombination hotspots" leave signatures in fine-scale patterns of linkage disequilibrium, raising the prospect that the genomic landscape of hotspots can be characterized from sequence variation. This approach has led to the inference that hotspots evolve rapidly in some species, but are conserved in others. Historic demographic events, such as population bottlenecks, are known to affect patterns of linkage disequilibrium across the genome, violating population genetic assumptions of this approach. Although such events are prevalent, demographic history is generally ignored when making inferences about the evolution of recombination hotspots. To determine the effect of demography on the detection of recombination hotspots, we use the coalescent to simulate haplotypes with a known recombination landscape. We measure the ability of popular linkage disequilibrium-based programs to detect hotspots across a range of demographic histories, including population bottlenecks, hidden population structure, population expansions, and population contractions. We find that demographic events have the potential to greatly reduce the power and increase the false positive rate of hotspot discovery. Neither the power nor the false positive rate of hotspot detection can be predicted without also knowing the demographic history of the sample. Our results suggest that ignoring demographic history likely overestimates the power to detect hotspots and therefore underestimates the degree of hotspot sharing between species. We suggest strategies for incorporating demographic history into population genetic inferences about recombination hotspots.

Indexed as

Linkage DisequilibriumModels, GeneticRecombination, GeneticComputer SimulationPopulation Dynamicsdemographylinkage disequilibriumpopulation geneticsrecombination hotspots

Identifiers

PMID29045724
PMCPMC5850621

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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.