Evidence map›Paper›PMID 19279335›Full record

ArticleGenome research2009

Darwinian and demographic forces affecting human protein coding genes.

Rasmus Nielsen, Melissa J Hubisz, Ines Hellmann, Dara Torgerson, Aida M Andrés, Anders Albrechtsen, Ryan Gutenkunst, Mark D Adams, Michele Cargill, Adam Boyko and 3 more

Abstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
–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

91 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024
    Review
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Convergent evolution in Arabidopsis halleri and Arabidopsis arenosa on calamine metalliferous soils.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  18. Article
  19. Article
  20. Article

31 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

13 authors.

Rasmus NielsenDepartment of Biology, University of Copenhagen, Copenhagen, Denmark. Rasmus@binf.ku.dk
Melissa J Hubisz
Ines Hellmann
Dara Torgerson
Aida M Andrés
Anders Albrechtsen
Ryan Gutenkunst
Mark D Adams
Michele Cargill
Adam Boyko
Amit Indap
Carlos D Bustamante
Andrew G Clark

Funding

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
NHGRI NIH HHS HG 003229NHGRI NIH HHS R01 HG003229NHLBI NIH HHS R01 HL072904
6 · The paper itself

Abstract

Past demographic changes can produce distortions in patterns of genetic variation that can mimic the appearance of natural selection unless the demographic effects are explicitly removed. Here we fit a detailed model of human demography that incorporates divergence, migration, admixture, and changes in population size to directly sequenced data from 13,400 protein coding genes from 20 European-American and 19 African-American individuals. Based on this demographic model, we use several new and established statistical methods for identifying genes with extreme patterns of polymorphism likely to be caused by Darwinian selection, providing the first genome-wide analysis of allele frequency distributions in humans based on directly sequenced data. The tests are based on observations of excesses of high frequency-derived alleles, excesses of low frequency-derived alleles, and excesses of differences in allele frequencies between populations. We detect numerous new genes with strong evidence of selection, including a number of genes related to psychiatric and other diseases. We also show that microRNA controlled genes evolve under extremely high constraints and are more likely to undergo negative selection than other genes. Furthermore, we show that genes involved in muscle development have been subject to positive selection during recent human history. In accordance with previous studies, we find evidence for negative selection against mutations in genes associated with Mendelian disease and positive selection acting on genes associated with several complex diseases.

Indexed as

Evolution, MolecularGenetics, PopulationSelection, GeneticBlack or African AmericanDemographyGene FrequencyGenetic VariationGenome, HumanHumansMicroRNAsPolymorphism, Single NucleotideProteinsWhite PeopleMicroRNAsProteins

Identifiers

PMID19279335
PMCPMC2675972

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.