Evidence map›Paper›PMID 24554778›Full record

ArticleMolecular biology and evolution2014

On detecting incomplete soft or hard selective sweeps using haplotype structure.

Anna Ferrer-Admetlla, Mason Liang, Thorfinn Korneliussen, Rasmus Nielsen

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 238 papers.

0numbers the graph read from it
0cells of the map it votes in
238citing 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

238 citing papers in PubMed.

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  17. Selection scans and downstream analysis with selscan.Human population genetics and genomics · 2026
    Article
  18. Article
  19. Distinct Genetic Footprint of Adaptation Observed WithinResearch and reports in tropical medicine · 2026
    Article
  20. Article

178 more citing papers are in PubMed but not listed here.

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

4 authors.

Anna Ferrer-AdmetllaDepartment of Integrative Biology, University of California at Berkeley, Berkeley.
Mason Liang
Thorfinn Korneliussen
Rasmus Nielsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new haplotype-based statistic (nSL) for detecting both soft and hard sweeps in population genomic data from a single population. We compare our new method with classic single-population haplotype and site frequency spectrum (SFS)-based methods and show that it is more robust, particularly to recombination rate variation. However, all statistics show some sensitivity to the assumptions of the demographic model. Additionally, we show that nSL has at least as much power as other methods under a number of different selection scenarios, most notably in the cases of sweeps from standing variation and incomplete sweeps. This conclusion holds up under a variety of demographic models. In many aspects, our new method is similar to the iHS statistic; however, it is generally more robust and does not require a genetic map. To illustrate the utility of our new method, we apply it to HapMap3 data and show that in the Yoruban population, there is strong evidence of selection on genes relating to lipid metabolism. This observation could be related to the known differences in cholesterol levels, and lipid metabolism more generally, between African Americans and other populations. We propose that the underlying causes for the selection on these genes are pleiotropic effects relating to blood parasites rather than their role in lipid metabolism.

Indexed as

HaplotypesModels, GeneticSelection, GeneticAfricaBiostatisticsBlack or African AmericanBlack PeopleComputer SimulationEvolution, MolecularGene FrequencyGenetics, PopulationHapMap ProjectHumansLipid MetabolismMutationPolymorphism, Single Nucleotidecholesteroldemographyhaplotype-based methodshard sweepsrecombination rateSFS-based methodssoft sweeps

Identifiers

PMID24554778
PMCPMC3995338

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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.