Evidence map›Paper›PMID 21626137›Full record

ArticleHuman genetics2011

Two-marker association tests yield new disease associations for coronary artery disease and hypertension.

Thomas P Slavin, Tao Feng, Audrey Schnell, Xiaofeng Zhu, Robert C Elston

Abstract read
In one paragraph

Article in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 6 pooled it
4.8field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 6 syntheses or guidelines pooled it, 84 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Thomas P SlavinDepartment of Genetics, Center for Human Genetics, University Hospitals of Cleveland and Case Western Reserve University, 10524 Euclid Avenue, Cleveland, OH, USA. thomas.slavin@kapiolani.org
Tao Feng
Audrey Schnell
Xiaofeng Zhu
Robert C Elston
Case Western Reserve University · USCenter for Human Genetics · US

Funding

X-LINKED EXTENSION OF THE REVISED HASEMAN-ELSTON ALGORITHM FOR LINKAGE ANALYSISP41RR003655 · NCRR · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ELSTON, ROBERT C. · 1987 to 2011
$11.5M
Statistical methods for analyzing high-throughput genotype dataR01HG003054 · NHGRI · LOYOLA UNIVERSITY CHICAGO · PI ZHU, XIAOFENG · 2005 to 2017
$3.6M
Fine Mapping of Hypertension Genes Detected by Admixture Mapping in the FBPPR01HL086718 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI ZHU, XIAOFENG · 2007 to 2011
$3.3M
Defining an Obesity QTL on Chromosome 3qR01HL074166 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI ZHU, XIAOFENG · 2004 to 2007
$2.9M
Medical Research Council G1001799NCRR NIH HHS P41 RR003655NCRR NIH HHS RR03655NHGRI NIH HHS HG003054NHGRI NIH HHS R01 HG003054NHLBI NIH HHS HL074166NHLBI NIH HHS HL086718NHLBI NIH HHS R01 HL074166NHLBI NIH HHS R01 HL086718Wellcome TrustWellcome Trust 076113
6 · The paper itself

Abstract

It has been postulated that multiple-marker methods may have added ability, over single-marker methods, to detect genetic variants associated with disease. The Wellcome Trust Case Control Consortium (WTCCC) provided the first successful large genome-wide association studies (GWAS) which included single-marker association analyses for seven common complex diseases. Of those signals detected, only one was associated with coronary artery disease (CAD), and none were identified for hypertension (HTN). Our objective was to find additional genetic associations and pathways for cardiovascular disease by examining the WTCCC data for variants associated with CAD and HTN using two-marker testing methods. We applied two-marker association testing to the WTCCC dataset, which includes ~2,000 affected individuals with each disorder, and a shared pool of ~3,000 controls, all genotyped using Affymetrix GeneChip 500 K arrays. For CAD, we detected single nucleotide polymorphisms (SNP) pairs in three genes showing genome-wide significance: HFE2, STK32B, and DIPC2. The most notable SNP pairs in a non-protein-coding region were at 9p21, a known major CAD-associated region. For HTN, we detected SNP pairs in five genes: GPR39, XRCC4, MYO6, ZFAT, and MACROD2. Four further associated SNP pair regions were at least 70 kb from any known gene. We have shown that novel, multiple-marker, statistical methods can be of use in finding variants in GWAS. We describe many new, associated variants for both CAD and HTN and describe their known genetic mechanisms.

Indexed as

Case-Control StudiesCoronary Artery DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansHypertensionLogistic ModelsPolymorphism, Single Nucleotide

Identifiers

PMID21626137
PMCPMC3576836
OpenAlexW1999545910

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.