Evidence map›Paper›PMID 23731540›Full record

ArticleAmerican journal of human genetics2013

Detecting and characterizing genomic signatures of positive selection in global populations.

Xuanyao Liu, Rick Twee-Hee Ong, Esakimuthu Nisha Pillai, Abier M Elzein, Kerrin S Small, Taane G Clark, Dominic P Kwiatkowski, Yik-Ying Teo

Open access · hybridAbstract read
In one paragraph

Article in American journal of human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 5 institutions in 3 countries.

Xuanyao LiuNUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore 117456, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117597, Singapore.
Rick Twee-Hee Ong
Esakimuthu Nisha Pillai
Abier M Elzein
Kerrin S Small
Taane G Clark
Dominic P Kwiatkowski
Yik-Ying Teo
National University of Singapore · SGCentre for Human Genetics · GBKing's College London · GBUniversity of Khartoum · SDUniversity of London · GB

Funding

Medical Research Council G0600718Medical Research Council G19/9Wellcome Trust 090532Wellcome Trust 090532/Z/09/ZWellcome Trust 090770Wellcome Trust 090770/Z/09/ZWellcome Trust 098051Wellcome Trust WT00383/Z/05/Z
6 · The paper itself

Abstract

Natural selection is a significant force that shapes the architecture of the human genome and introduces diversity across global populations. The question of whether advantageous mutations have arisen in the human genome as a result of single or multiple mutation events remains unanswered except for the fact that there exist a handful of genes such as those that confer lactase persistence, affect skin pigmentation, or cause sickle cell anemia. We have developed a long-range-haplotype method for identifying genomic signatures of positive selection to complement existing methods, such as the integrated haplotype score (iHS) or cross-population extended haplotype homozygosity (XP-EHH), for locating signals across the entire allele frequency spectrum. Our method also locates the founder haplotypes that carry the advantageous variants and infers their corresponding population frequencies. This presents an opportunity to systematically interrogate the whole human genome whether a selection signal shared across different populations is the consequence of a single mutation process followed subsequently by gene flow between populations or of convergent evolution due to the occurrence of multiple independent mutation events either at the same variant or within the same gene. The application of our method to data from 14 populations across the world revealed that positive-selection events tend to cluster in populations of the same ancestry. Comparing the founder haplotypes for events that are present across different populations revealed that convergent evolution is a rare occurrence and that the majority of shared signals stem from the same evolutionary event.

Indexed as

Models, GeneticSelection, GeneticSoftwareChromosomes, HumanComputer SimulationEvolution, MolecularFounder EffectGene FrequencyGenetics, PopulationGenome, HumanHaplotypesHumansPolymorphism, Single NucleotidePrincipal Component Analysis

Identifiers

PMID23731540
PMCPMC3675259
OpenAlexW2008679945

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.