Evidence map›Paper›PMID 22333899›Full record

ArticleEuropean journal of human genetics : EJHG2012

Genome-wide analysis of epistasis in body mass index using multiple human populations.

Wen-Hua Wei, Gib Hemani, Attila Gyenesei, Veronique Vitart, Pau Navarro, Caroline Hayward, Claudia P Cabrera, Jennifer E Huffman, Sara A Knott, Andrew A Hicks and 8 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  15. Review
  16. Detecting epistasis in human complex traits.Nature reviews. Genetics · 2014
    Review
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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

18 authors at 6 institutions in 5 countries.

Wen-Hua WeiMRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK. Wenhua.Wei@igmm.ed.ac.uk
Gib Hemani
Attila Gyenesei
Veronique Vitart
Pau Navarro
Caroline Hayward
Claudia P Cabrera
Jennifer E Huffman
Sara A Knott
Andrew A Hicks
Igor Rudan
Peter P Pramstaller
Sarah H Wild
James F Wilson
Harry Campbell
Nicholas D Hastie
Alan F Wright
Chris S Haley
Western General Hospital · GBUniversity of Edinburgh · GBMRC Institute of Genetics and Molecular Medicine · GBOspedale di Bolzano · ITTurku Centre for Biotechnology · FIUniversity of Lübeck · DE

Funding

Biotechnology and Biological Sciences Research Council BB/H024484/1Biotechnology and Biological Sciences Research Council BB/H024484/2Chief Scientist Office CZB/4/710Medical Research Council MC_PC_U127561128Medical Research Council MC_PC_U127592696Medical Research Council MC_U127561128Medical Research Council MC_U127592696Wellcome Trust 095831
6 · The paper itself

Abstract

We surveyed gene-gene interactions (epistasis) in human body mass index (BMI) in four European populations (n<1200) via exhaustive pair-wise genome scans where interactions were computed as F ratios by testing a linear regression model fitting two single-nucleotide polymorphisms (SNPs) with interactions against the one without. Before the association tests, BMI was corrected for sex and age, normalised and adjusted for relatedness. Neither single SNPs nor SNP interactions were genome-wide significant in either cohort based on the consensus threshold (P=5.0E-08) and a Bonferroni corrected threshold (P=1.1E-12), respectively. Next we compared sub genome-wide significant SNP interactions (P<5.0E-08) across cohorts to identify common epistatic signals, where SNPs were annotated to genes to test for gene ontology (GO) enrichment. Among the epistatic genes contributing to the commonly enriched GO terms, 19 were shared across study cohorts of which 15 are previously published genome-wide association loci, including CDH13 (cadherin 13) associated with height and SORCS2 (sortilin-related VPS10 domain containing receptor 2) associated with circulating insulin-like growth factor 1 and binding protein 3. Interactions between the 19 shared epistatic genes and those involving BMI candidate loci (P<5.0E-08) were tested across cohorts and found eight replicated at the SNP level (P<0.05) in at least one cohort, which were further tested and showed limited replication in a separate European population (n>5000). We conclude that genome-wide analysis of epistasis in multiple populations is an effective approach to provide new insights into the genetic regulation of BMI but requires additional efforts to confirm the findings.

Indexed as

Body Mass IndexEpistasis, GeneticGenome-Wide Association StudyAdolescentAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideWhite PeopleYoung Adult

Identifiers

PMID22333899
PMCPMC3400731
OpenAlexW2146978175

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.