Evidence map›Paper›PMID 22977227›Full record

ArticleEuropean heart journal2013

Influence of common genetic variation on blood lipid levels, cardiovascular risk, and coronary events in two British prospective cohort studies.

Sonia Shah, Juan P Casas, Tom R Gaunt, Jackie Cooper, Fotios Drenos, Delilah Zabaneh, Daniel I Swerdlow, Tina Shah, Reecha Sofat, Jutta Palmen and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.1field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 2 countries.

Sonia ShahDepartment of Genetics, Environment and Evolution, University College London Genetics Institute, Gower St, London WC1E 6BT, UK.
Juan P Casas
Tom R Gaunt
Jackie Cooper
Fotios Drenos
Delilah Zabaneh
Daniel I Swerdlow
Tina Shah
Reecha Sofat
Jutta Palmen
Meena Kumari
Mika Kivimaki
Shah Ebrahim
George Davey Smith
Debbie A Lawlor
Philippa J Talmud
John Whittaker
Ian N M Day
Aroon D Hingorani
Steve E Humphries
University College London · GBUniversity of Bristol · GBCardiovascular Institute of the South · USLondon School of Hygiene & Tropical Medicine · GBGlaxoSmithKline (United Kingdom) · GB

Funding

CHANGES IN HEALTH: SOCIO-ECONOMIC STATUS AND PATHWAYSR37AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G · 1999 to 2008
$4.3M
Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
British Heart Foundation PG/09/022/26739British Heart Foundation RG/07/008/23674British Heart Foundation RG/08/008/25291British Heart Foundation RG/13/2/30098Medical Research Council G0100222Medical Research Council G0600705Medical Research Council G0902037Medical Research Council G19/35Medical Research Council G8802774Medical Research Council MC_UU_12013/1NHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG013196NIA NIH HHS R37 AG013196
6 · The paper itself

Abstract

aimsThe aim of this study was to quantify the collective effect of common lipid-associated single nucleotide polymorphisms (SNPs) on blood lipid levels, cardiovascular risk, use of lipid-lowering medication, and risk of coronary heart disease (CHD) events. METHODS AND

resultsAnalysis was performed in two prospective cohorts: Whitehall II (WHII; N = 5059) and the British Women's Heart and Health Study (BWHHS; N = 3414). For each participant, scores were calculated based on the cumulative effect of multiple genetic variants influencing total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG). Compared with the bottom quintile, individuals in the top quintile of the LDL-C genetic score distribution had higher LDL-C {mean difference of 0.85 [95% confidence interval, (CI) = 0.76-0.94] and 0.63 [95% CI = 0.50-0.76] mmol/l in WHII and BWHHS, respectively}. They also tended to have greater odds of having 'high-risk' status (Framingham 10-year cardiovascular disease risk >20%) [WHII: odds ratio (OR) = 1.36 (0.93-1.98), BWHHS: OR = 1.49 (1.14-1.94)]; receiving lipid-lowering treatment [WHII: OR = 2.38 (1.57-3.59), BWHHS: OR = 2.24 (1.52-3.29)]; and CHD events [WHII: OR = 1.43 (1.02-2.00), BWHHS: OR = 1.31 (0.99-1.72)]. Similar associations were observed for the TC score in both studies. The TG score was associated with high-risk status and medication use in both studies. Neither HDL nor TG scores were associated with the risk of coronary events. The genetic scores did not improve discrimination over the Framingham risk score.

conclusionAt the population level, common SNPs associated with LDL-C and TC contribute to blood lipid variation, cardiovascular risk, use of lipid-lowering medications and coronary events. However, their effects are too small to discriminate future lipid-lowering medication requirements or coronary events.

Indexed as

AdultAgedCardiovascular DiseasesCholesterol, HDLCholesterol, LDLCoronary DiseaseFemaleGenotypeHumansHyperlipidemiasHypolipidemic AgentsMaleMiddle AgedPhenotypePolymorphism, Single NucleotideProspective StudiesCholesterol, HDLCholesterol, LDLHypolipidemic AgentsTriglycerides

Identifiers

PMID22977227
PMCPMC3612774
OpenAlexW2159219444

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.