Evidence map›Paper›PMID 21730125›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Demographic history and rare allele sharing among human populations.

Simon Gravel, Brenna M Henn, Ryan N Gutenkunst, Amit R Indap, Gabor T Marth, Andrew G Clark, Fuli Yu, Richard A Gibbs, 1000 Genomes Project, Carlos D Bustamante

Abstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 403 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
403citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

403 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Pervasive cryptic selection in the human noncoding genome.bioRxiv : the preprint server for biology · 2026
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  13. Integrating 730,947 exome sequences with clinical literature improves gene discovery.medRxiv : the preprint server for health sciences · 2026
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343 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

10 authors.

Simon GravelDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305-5120, USA.
Brenna M Henn
Ryan N Gutenkunst
Amit R Indap
Gabor T Marth
Andrew G Clark
Fuli Yu
Richard A Gibbs
1000 Genomes Project
Carlos D Bustamante

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Modeling DNA Diversity in Reverse Cholesterol TransportR01HL072810 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2003 to 2012
$9.6M
Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
Modeling DNA Diversity in Reverse Cholestrol TransportR01HL072904 · NHLBI · CORNELL UNIVERSITY ITHACA · PI CLARK, ANDREW G · 2003 to 2012
$2.9M
Medical Research Council G1000758NHGRI NIH HHS R01 HG003229NHGRI NIH HHS U54 HG003273NHLBI NIH HHS R01 HL072810NHLBI NIH HHS R01 HL072904Wellcome Trust 085532Wellcome Trust 090532
6 · The paper itself

Abstract

High-throughput sequencing technology enables population-level surveys of human genomic variation. Here, we examine the joint allele frequency distributions across continental human populations and present an approach for combining complementary aspects of whole-genome, low-coverage data and targeted high-coverage data. We apply this approach to data generated by the pilot phase of the Thousand Genomes Project, including whole-genome 2-4× coverage data for 179 samples from HapMap European, Asian, and African panels as well as high-coverage target sequencing of the exons of 800 genes from 697 individuals in seven populations. We use the site frequency spectra obtained from these data to infer demographic parameters for an Out-of-Africa model for populations of African, European, and Asian descent and to predict, by a jackknife-based approach, the amount of genetic diversity that will be discovered as sample sizes are increased. We predict that the number of discovered nonsynonymous coding variants will reach 100,000 in each population after ∼1,000 sequenced chromosomes per population, whereas ∼2,500 chromosomes will be needed for the same number of synonymous variants. Beyond this point, the number of segregating sites in the European and Asian panel populations is expected to overcome that of the African panel because of faster recent population growth. Overall, we find that the majority of human genomic variable sites are rare and exhibit little sharing among diverged populations. Our results emphasize that replication of disease association for specific rare genetic variants across diverged populations must overcome both reduced statistical power because of rarity and higher population divergence.

Indexed as

DemographyEvolution, MolecularGenetics, PopulationGenetic VariationModels, GeneticGene FrequencyGenesGenetic DriftGenomicsHumansRacial GroupsSequence Analysis, DNA

Identifiers

PMID21730125
PMCPMC3142009

What OpenQuestion holds

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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.