Evidence map›Paper›PMID 19202052›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Power of deep, all-exon resequencing for discovery of human trait genes.

Gregory V Kryukov, Alexander Shpunt, John A Stamatoyannopoulos, Shamil R Sunyaev

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 2 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

113 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Polymorphisms in the 5' flank of COL1A1 gene and osteoporosis: meta-analysis of published studies.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2011
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Missense and loss-of-function variants at GWAS loci in familial Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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  16. A rare-variant test for high-dimensional data.European journal of human genetics : EJHG · 2017
    Article
  17. Article
  18. Review
  19. Article
  20. Article

53 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

4 authors.

Gregory V KryukovDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Alexander Shpunt
John A Stamatoyannopoulos
Shamil R Sunyaev

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
New Methods and Enhanced Software for Predicting Functional SNPsR01GM078598 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2007 to 2017
$3.5M
Regulatory Genomics of Inflammatory Response GenesR01GM071852 · NIGMS · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2005 to 2008
$2.3M
Statistical Methods for the Design and Interpretation of Deep Resequencing StudieR01MH084676 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2008 to 2010
$1.7M
NIGMS NIH HHS GM078598NIGMS NIH HHS R01 GM071852NIGMS NIH HHS R01GM071852NIGMS NIH HHS R01 GM078598NIMH NIH HHS MH084676NIMH NIH HHS R01 MH084676NLM NIH HHS U54 LM008748NLM NIH HHS U54LM008748
6 · The paper itself

Abstract

The ability to sequence cost-effectively all of the coding regions of a given individual genome is rapidly approaching, with the potential for whole-genome resequencing not far behind. Initiatives are currently underway to phenotype hundreds of thousands of individuals for major human traits. Here, we determine the power for de novo discovery of genes related to human traits by resequencing all human exons in a clinical population. We analyze the potential of the gene discovery strategy that combines multiple rare variants from the same gene and treats genes, rather than individual alleles, as the units for the association test. By using computer simulations based on deep resequencing data for the European population, we show that genes meaningfully affecting a human trait can be identified in an unbiased fashion, although large sample sizes would be required to achieve substantial power.

Indexed as

Quantitative Trait, HeritableChromosome MappingComputer SimulationDemographyExonsGene FrequencyGenetic VariationHumansMeta-Analysis as TopicModels, GeneticMutation, MissensePhenotypePolymorphism, Single NucleotideReceptor, Melanocortin, Type 4Selection, GeneticSequence Analysis, DNAMC4R protein, humanReceptor, Melanocortin, Type 4

Identifiers

PMID19202052
PMCPMC2656172

What OpenQuestion holds

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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.