Evidence map›Paper›PMID 18179892›Full record

SynthesisAmerican journal of human genetics2008

Genome-wide association study identifies genes for biomarkers of cardiovascular disease: serum urate and dyslipidemia.

Chris Wallace, Stephen J Newhouse, Peter Braund, Feng Zhang, Martin Tobin, Mario Falchi, Kourosh Ahmadi, Richard J Dobson, Ana Carolina B Marçano, Cother Hajat and 12 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis 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 242 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 13 pooled it
32.6field-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

242 citing papers in PubMed, 13 syntheses or guidelines pooled it, 440 citations in OpenAlex.

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  5. Genetic comorbidities in Parkinson's disease.Human molecular genetics · 2014
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182 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

22 authors at 9 institutions in 2 countries.

Chris WallaceClinical Pharmacology and The Genome Centre, Barts and The London, Queen Mary's School of Medicine and Dentistry, London, EC1M 6BQ, UK.
Stephen J Newhouse
Peter Braund
Feng Zhang
Martin Tobin
Mario Falchi
Kourosh Ahmadi
Richard J Dobson
Ana Carolina B Marçano
Cother Hajat
Paul Burton
Panagiotis Deloukas
Morris Brown
John M Connell
Anna Dominiczak
G Mark Lathrop
John Webster
Martin Farrall
Tim Spector
Nilesh J Samani
Mark J Caulfield
Patricia B Munroe
Queen Mary University of London · GBUniversity of Leicester · GBKing's College London · GBUniversity of Glasgow · GBAberdeen Royal Infirmary · GBCentre National de Recherche en Génomique Humaine · FRUniversity of Cambridge · GBUniversity of Oxford · GBWellcome Sanger Institute · GB

Funding

Medical Research Council G0400874Medical Research Council G0501942Medical Research Council G106/1216Wellcome TrustWellcome Trust 076113/B/04/Z
6 · The paper itself

Abstract

Many common diseases are accompanied by disturbances in biochemical traits. Identifying the genetic determinants could provide novel insights into disease mechanisms and reveal avenues for developing new therapies. Here, we report a genome-wide association analysis for commonly measured serum and urine biochemical traits. As part of the WTCCC, 500,000 SNPs genome wide were genotyped in 1955 hypertensive individuals characterized for 25 serum and urine biochemical traits. For each trait, we assessed association with individual SNPs, adjusting for age, sex, and BMI. Lipid measurements were further examined in a meta-analysis of genome-wide data from a type 2 diabetes scan. The most promising associations were examined in two epidemiological cohorts. We discovered association between serum urate and SLC2A9, a glucose transporter (p = 2 x 10(-15)) and confirmed this in two independent cohorts, GRAPHIC study (p = 9 x 10(-15)) and TwinsUK (p = 8 x 10(-19)). The odds ratio for hyperuricaemia (defined as urate >0.4 mMol/l) is 1.89 (95% CI = 1.36-2.61) per copy of common allele. We also replicated many genes previously associated with serum lipids and found previously recognized association between LDL levels and SNPs close to genes encoding PSRC1 and CELSR2 (p = 1 x 10(-7)). The common allele was associated with a 6% increase in nonfasting serum LDL. This region showed increased association in the meta-analysis (p = 4 x 10(-14)). This finding provides a potential biological mechanism for the recent association of this same allele of the same SNP with increased risk of coronary disease.

Indexed as

Genome, HumanAgedBiomarkersCardiovascular DiseasesDyslipidemiasFemaleHumansLipidsMaleMiddle AgedPolymorphism, Single NucleotideUric AcidBiomarkersLipidsUric Acid

Identifiers

PMID18179892
PMCPMC2253977
OpenAlexW2037252383

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.