Evidence map›Paper›PMID 22582263›Full record

ArticleScience (New York, N.Y.)2012

Recent explosive human population growth has resulted in an excess of rare genetic variants.

Alon Keinan, Andrew G Clark

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 305 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
305citing 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

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

  1. Pooled it
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245 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

2 authors.

Alon KeinanDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA. ak735@cornell.edu
Andrew G Clark

Funding

Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
Variable DNA sites predicting interindividual variation in health measuresP50GM065509 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOERWINKLE, ERIC A. · 2001 to 2011
$27.5M
Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
Population Structure Admixture and Selection across the 1000 Genomes Data SetU01HG005715 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2010 to 2012
$1.1M
NHGRI NIH HHS R01 HG003229NHGRI NIH HHS U01 HG005715NHGRI NIH HHS U01-HG005715NHLBI NIH HHS HL102419NHLBI NIH HHS RC2 HL102419NIGMS NIH HHS GM065509NIGMS NIH HHS P50 GM065509
6 · The paper itself

Abstract

Human populations have experienced recent explosive growth, expanding by at least three orders of magnitude over the past 400 generations. This departure from equilibrium skews patterns of genetic variation and distorts basic principles of population genetics. We characterized the empirical signatures of explosive growth on the site frequency spectrum and found that the discrepancy in rare variant abundance across demographic modeling studies is mostly due to differences in sample size. Rapid recent growth increases the load of rare variants and is likely to play a role in the individual genetic burden of complex disease risk. Hence, the extreme recent human population growth needs to be taken into consideration in studying the genetics of complex diseases and traits.

Indexed as

Genetic VariationPopulation DensityPopulation GrowthAsian PeopleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenetics, PopulationGenome, HumanHaplotypesHeterozygoteHumansModels, GeneticMutationPolymorphism, Single NucleotideSample Size

Identifiers

PMID22582263
PMCPMC3586590

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Registered trials

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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.