Evidence map›Paper›PMID 21907010›Full record

ArticleAmerican journal of human genetics2011

Genome-wide comparison of African-ancestry populations from CARe and other cohorts reveals signals of natural selection.

Gaurav Bhatia, Nick Patterson, Bogdan Pasaniuc, Noah Zaitlen, Giulio Genovese, Samuela Pollack, Swapan Mallick, Simon Myers, Arti Tandon, Chris Spencer and 30 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in American journal of human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 4 pooled it
5.0field-weighted citation impact, top 5% 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, 4 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  13. How HLA diversity is apportioned: influence of selection and relevance to transplantation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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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

40 authors at 20 institutions in 4 countries.

Gaurav BhatiaHarvard- Massachusetts Institute of Technology (MIT) Division of Health, Science and Technology, Cambridge, USA. gbhatia@mit.edu
Nick Patterson
Bogdan Pasaniuc
Noah Zaitlen
Giulio Genovese
Samuela Pollack
Swapan Mallick
Simon Myers
Arti Tandon
Chris Spencer
Cameron D Palmer
Adebowale A Adeyemo
Ermeg L Akylbekova
L Adrienne Cupples
Jasmin Divers
Myriam Fornage
W H Linda Kao
Leslie Lange
Mingyao Li
Solomon Musani
Josyf C Mychaleckyj
Adesola Ogunniyi
George Papanicolaou
Charles N Rotimi
Jerome I Rotter
Ingo Ruczinski
Babatunde Salako
David S Siscovick
Bamidele O Tayo
Qiong Yang
Steve McCarroll
Pardis Sabeti
Guillaume Lettre
Phil De Jager
Joel Hirschhorn
Xiaofeng Zhu
Richard Cooper
David Reich
James G Wilson
Alkes L Price
Broad Institute · USBoston University · USJackson Memorial Hospital · USJohns Hopkins University · USLoyola University Chicago · USUniversity of Ibadan · NGBeth Israel Deaconess Medical Center · USCase Western Reserve University · USCedars-Sinai Medical Center · USCentre for Human Genetics · GBHarvard University · USJackson State University · USMontreal Heart Institute · CANational Heart Lung and Blood Institute · USNational Human Genome Research Institute · USNational Institutes of Health · USThe University of Texas Health Science Center at Houston · USUniversity of North Carolina at Chapel Hill · USUniversity of Oxford · GBUniversity of Pennsylvania · US

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
A Multiethnic Genome-Wide Scan of Prostate CancerU01HG004726 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN · 2008 to 2009
$1.2M
Enabling Imputation and CNV Analysis in Genetic Studies of African AmericansRC1GM091332 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI WILSON, JAMES GRAHAM · 2009 to 2010
$974k
Detecting natural selection by comparing African-ancestry populationsR03HG006170 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2012 to 2013
$162k
NHGRI NIH HHS R01 HG005224NHGRI NIH HHS R01 HG006399NHGRI NIH HHS R03 HG006170NHGRI NIH HHS T32 HG002295NHGRI NIH HHS U01 HG004726NHGRI NIH HHS U01 HG004726-01NIEHS NIH HHS 5T32ES007142-27NIEHS NIH HHS T32 ES007142NIGMS NIH HHS RC1 GM091332Wellcome Trust 090532
6 · The paper itself

Abstract

The study of recent natural selection in human populations has important applications to human history and medicine. Positive natural selection drives the increase in beneficial alleles and plays a role in explaining diversity across human populations. By discovering traits subject to positive selection, we can better understand the population level response to environmental pressures including infectious disease. Our study examines unusual population differentiation between three large data sets to detect natural selection. The populations examined, African Americans, Nigerians, and Gambians, are genetically close to one another (F(ST) < 0.01 for all pairs), allowing us to detect selection even with moderate changes in allele frequency. We also develop a tree-based method to pinpoint the population in which selection occurred, incorporating information across populations. Our genome-wide significant results corroborate loci previously reported to be under selection in Africans including HBB and CD36. At the HLA locus on chromosome 6, results suggest the existence of multiple, independent targets of population-specific selective pressure. In addition, we report a genome-wide significant (p = 1.36 × 10(-11)) signal of selection in the prostate stem cell antigen (PSCA) gene. The most significantly differentiated marker in our analysis, rs2920283, is highly differentiated in both Africa and East Asia and has prior genome-wide significant associations to bladder and gastric cancers.

Indexed as

Genetics, PopulationGenetic VariationSelection, GeneticAntigens, NeoplasmBlack or African AmericanBlack PeopleCD36 AntigensGambiaGene FrequencyGenome, HumanGenotypeGPI-Linked ProteinsHLA AntigensHumansModels, GeneticNeoplasm ProteinsAntigens, NeoplasmCD36 AntigensGPI-Linked ProteinsHLA AntigensNeoplasm ProteinsPSCA protein, human

Identifiers

PMID21907010
PMCPMC3169818
OpenAlexW2035728929

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.