Evidence map›Paper›PMID 18179889›Full record

ArticleAmerican journal of human genetics2008

Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms.

Ivan P Gorlov, Olga Y Gorlova, Shamil R Sunyaev, Margaret R Spitz, Christopher I Amos

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 5 pooled it
24.2field-weighted citation impact, top 1% 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

197 citing papers in PubMed, 5 syntheses or guidelines pooled it, 339 citations in OpenAlex.

  1. The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Pooled it
  2. Pooled it
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  4. A genome-wide association study on African-ancestry populations for asthma.The Journal of allergy and clinical immunology · 2010
    Pooled it
  5. Meta-analysis of genome-wide linkage studies across autoimmune diseases.European journal of human genetics : EJHG · 2009
    Pooled it
  6. High-Penetrance Rare Variants Underlying Familial Lung Cancer Risk: Insights From Genetic Epidemiology of Lung Cancer Consortium.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  7. Article
  8. Pharmacogenomic heterogeneity ofAnnals of medicine · 2025
    Observational
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137 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

5 authors at 2 institutions in 1 country.

Ivan P GorlovDepartment of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Olga Y Gorlova
Shamil R Sunyaev
Margaret R Spitz
Christopher I Amos
The University of Texas MD Anderson Cancer Center · USBrigham and Women's Hospital · US

Funding

TRANSCRIPTIONAL REGULATION OF WT-1P01CA034936 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI STRONG, LOUISE C · 1985 to 2010
$26.4M
Positional Gene Identification of Complex TraitsR01ES009912 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 1999 to 2006
$3.3M
NCI NIH HHS P01 CA034936NCI NIH HHS P01 CA 34936-14A1NIEHS NIH HHS ES09912NIEHS NIH HHS R01 ES009912
6 · The paper itself

Abstract

Currently, single-nucleotide polymorphisms (SNPs) with minor allele frequency (MAF) of >5% are preferentially used in case-control association studies of common human diseases. Recent technological developments enable inexpensive and accurate genotyping of a large number of SNPs in thousands of cases and controls, which can provide adequate statistical power to analyze SNPs with MAF <5%. Our purpose was to determine whether evaluating rare SNPs in case-control association studies could help identify causal SNPs for common diseases. We suggest that slightly deleterious SNPs (sdSNPs) subjected to weak purifying selection are major players in genetic control of susceptibility to common diseases. We compared the distribution of MAFs of synonymous SNPs with that of nonsynonymous SNPs (1) predicted to be benign, (2) predicted to be possibly damaging, and (3) predicted to be probably damaging by PolyPhen. Our sources of data were the International HapMap Project, ENCODE, and the SeattleSNPs project. We found that the MAF distribution of possibly and probably damaging SNPs was shifted toward rare SNPs compared with the MAF distribution of benign and synonymous SNPs that are not likely to be functional. We also found an inverse relationship between MAF and the proportion of nsSNPs predicted to be protein disturbing. On the basis of this relationship, we estimated the joint probability that a SNP is functional and would be detected as significant in a case-control study. Our analysis suggests that including rare SNPs in genotyping platforms will advance identification of causal SNPs in case-control association studies, particularly as sample sizes increase.

Indexed as

Genetic Predisposition to DiseaseGenome, HumanPolymorphism, Single NucleotideCase-Control StudiesGene FrequencyGenetics, PopulationHumansMutation, Missense

Identifiers

PMID18179889
PMCPMC2253956
OpenAlexW2097349182

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.