Evidence map›Paper›PMID 22077970›Full record

SynthesisAmerican journal of human genetics2011

Abundant pleiotropy in human complex diseases and traits.

Shanya Sivakumaran, Felix Agakov, Evropi Theodoratou, James G Prendergast, Lina Zgaga, Teri Manolio, Igor Rudan, Paul McKeigue, James F Wilson, Harry Campbell

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in American journal of human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 329 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
329citing papers in PubMed, 4 pooled it
22.2field-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

329 citing papers in PubMed, 4 syntheses or guidelines pooled it, 576 citations in OpenAlex.

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269 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Shanya SivakumaranCentre for Population Health Sciences, The University of Edinburgh, Edinburgh EH8 9AG, UK.
Felix Agakov
Evropi Theodoratou
James G Prendergast
Lina Zgaga
Teri Manolio
Igor Rudan
Paul McKeigue
James F Wilson
Harry Campbell
University of Edinburgh · GBInstitute of Genetics and Cancer · GBNational Human Genome Research Institute · USUniversity of Zagreb · HR

Funding

Cancer Research UK C31250/A10107Chief Scientist Office CZB/4/710Medical Research Council G0800604
6 · The paper itself

Abstract

We present a systematic review of pleiotropy among SNPs and genes reported to show genome-wide association with common complex diseases and traits. We find abundant evidence of pleiotropy; 233 (16.9%) genes and 77 (4.6%) SNPs show pleiotropic effects. SNP pleiotropic status was associated with gene location (p = 0.024; pleiotropic SNPs more often exonic [14.5% versus 4.9% for nonpleiotropic, trait-associated SNPs] and less often intergenic [15.8% versus 23.6%]), "predicted transcript consequence" (p = 0.001; pleiotropic SNPs more often predicted to be structurally deleterious [5% versus 0.4%] but not more often in regulatory sequences), and certain disease classes. We develop a method to calculate the likelihood that pleiotropic links between traits occurred more often than expected and demonstrate that this approach can identify etiological links that are already known (such as between fetal hemoglobin and malaria risk) and those that are not yet established (e.g., between plasma campesterol levels and gallstones risk; and between immunoglobulin A and juvenile idiopathic arthritis). Examples of pleiotropy will accumulate over time, but it is already clear that pleiotropy is a common property of genes and SNPs associated with disease traits, and this will have implications for identification of molecular targets for drug development, future genetic risk-profiling, and classification of diseases.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideDatabases, GeneticDiseaseGenetic PleiotropyGenetics, PopulationGenome, HumanHumansModels, GeneticQuantitative Trait Loci

Identifiers

PMID22077970
PMCPMC3213397
OpenAlexW1977846646

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.