Evidence map›Paper›PMID 22809343›Full record

ArticleJournal of bioinformatics and computational biology2012

Derived SNP alleles are used more frequently than ancestral alleles as risk-associated variants in common human diseases.

Olga Y Gorlova, Jun Ying, Christopher I Amos, Margaret R Spitz, Bo Peng, Ivan P Gorlov

Abstract read
In one paragraph

Article in Journal of bioinformatics and computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Olga Y GorlovaDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030-3721, USA. oygorlov@mdanderson.org
Jun Ying
Christopher I Amos
Margaret R Spitz
Bo Peng
Ivan P Gorlov

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Two-Stage Genome-Wide Association Study in Systemic SclerosisR01AR055258 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAYES, MAUREEN MAUREEN · 2008 to 2012
$5.9M
A genomewide study of lung cancer in never smokersR01CA149462 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GORLOVA, OLGA · 2010 to 2014
$4.4M
Inflammation Genes and Lung Cancer RiskR01CA127219 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPITZ, MARGARET R · 2008 to 2013
$3.1M
NCI NIH HHS CA016672NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA127219NCI NIH HHS R01 CA149462NIAMS NIH HHS R01 AR055258
6 · The paper itself

Abstract

Evolutionary aspects of the genetic architecture of common human diseases remain enigmatic. The results of more than 200 genome-wide association studies published to date were compiled in a catalog (). We used cataloged data to determine whether derived (mutant) alleles are associated with higher risk of human disease more frequently than ancestral alleles. We placed all allelic variants into ten categories of population frequency (0%-100%) in 10% increments. We then analyzed the relationship between allelic frequency, evolutionary status of the polymorphic site (ancestral versus derived), and disease risk status (risk versus protection). Given the same population frequency, derived alleles are more likely to be risk associated than ancestral alleles, as are rarer alleles. The common interpretation of this association is that negative selection prevents fixation of the risk variants. However, disease stratification as early or late onset suggests that weak selection against risk-associated alleles is unlikely a major factor shaping genetic architecture of common diseases. Our results clearly suggest that the duration of existence of an allele in a population is more important. Alleles existing longer tend to show weaker linkage disequilibrium with neighboring alleles, including the causal alleles, and are less likely to tag a SNP-disease association.

Indexed as

AllelesGenetic Predisposition to DiseasePolymorphism, Single NucleotideBiological EvolutionGene FrequencyGenetic VariationGenome, HumanHumansLinkage Disequilibrium

Identifiers

PMID22809343
PMCPMC3655427

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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.