Evidence map›Paper›PMID 19060911›Full record

ArticleNature genetics2009

Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts.

Yurii S Aulchenko, Samuli Ripatti, Ida Lindqvist, Dorret Boomsma, Iris M Heid, Peter P Pramstaller, Brenda W J H Penninx, A Cecile J W Janssens, James F Wilson, Tim Spector and 48 more

Abstract read
In one paragraph

Article in Nature genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 482 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
482citing papers in PubMed, 9 pooled it
–field-weighted citation impact
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

482 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  15. A polymorphism in theNagoya journal of medical science · 2026
    Article
  16. Article
  17. Article
  18. Association of Lipoprotein Lipase (International journal of molecular sciences · 2025
    Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

58 authors.

Yurii S Aulchenko[1] Department of Epidemiology and Biostatistics, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. [2] These authors contributed equally to this work.
Samuli Ripatti
Ida Lindqvist
Dorret Boomsma
Iris M Heid
Peter P Pramstaller
Brenda W J H Penninx
A Cecile J W Janssens
James F Wilson
Tim Spector
Nicholas G Martin
Nancy L Pedersen
Kirsten Ohm Kyvik
Jaakko Kaprio
Albert Hofman
Nelson B Freimer
Marjo-Riitta Jarvelin
Ulf Gyllensten
Harry Campbell
Igor Rudan
Asa Johansson
Fabio Marroni
Caroline Hayward
Veronique Vitart
Inger Jonasson
Cristian Pattaro
Alan Wright
Nick Hastie
Irene Pichler
Andrew A Hicks
Mario Falchi
Gonneke Willemsen
Jouke-Jan Hottenga
Eco J C de Geus
Grant W Montgomery
John Whitfield
Patrik Magnusson
Juha Saharinen
Markus Perola
Kaisa Silander
Aaron Isaacs
Eric J G Sijbrands
Andre G Uitterlinden
Jacqueline C M Witteman
Ben A Oostra
Paul Elliott
Aimo Ruokonen
Chiara Sabatti
Christian Gieger
Thomas Meitinger
Florian Kronenberg
Angela Döring
H-Erich Wichmann
Johannes H Smit
Mark I McCarthy
Cornelia M van Duijn
Leena Peltonen
ENGAGE Consortium

Funding

Genetics of cardiovascular risk factors in large founder population birth controlR01HL087679 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HIRSCHHORN, JOEL N · 2007 to 2009
$4.0M
Chief Scientist Office CZB/4/710Medical Research Council MC_U127561128NHLBI NIH HHS 5R01HL087679-02NHLBI NIH HHS R01 HL087679Wellcome Trust 089061
6 · The paper itself

Abstract

Recent genome-wide association (GWA) studies of lipids have been conducted in samples ascertained for other phenotypes, particularly diabetes. Here we report the first GWA analysis of loci affecting total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides sampled randomly from 16 population-based cohorts and genotyped using mainly the Illumina HumanHap300-Duo platform. Our study included a total of 17,797-22,562 persons, aged 18-104 years and from geographic regions spanning from the Nordic countries to Southern Europe. We established 22 loci associated with serum lipid levels at a genome-wide significance level (P < 5 x 10(-8)), including 16 loci that were identified by previous GWA studies. The six newly identified loci in our cohort samples are ABCG5 (TC, P = 1.5 x 10(-11); LDL, P = 2.6 x 10(-10)), TMEM57 (TC, P = 5.4 x 10(-10)), CTCF-PRMT8 region (HDL, P = 8.3 x 10(-16)), DNAH11 (LDL, P = 6.1 x 10(-9)), FADS3-FADS2 (TC, P = 1.5 x 10(-10); LDL, P = 4.4 x 10(-13)) and MADD-FOLH1 region (HDL, P = 6 x 10(-11)). For three loci, effect sizes differed significantly by sex. Genetic risk scores based on lipid loci explain up to 4.8% of variation in lipids and were also associated with increased intima media thickness (P = 0.001) and coronary heart disease incidence (P = 0.04). The genetic risk score improves the screening of high-risk groups of dyslipidemia over classical risk factors.

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAgedAged, 80 and overBody Mass IndexCholesterol, HDLCohort StudiesCoronary DiseaseFemaleGenetic TestingGenome, HumanHumansLipidsMaleMetabolic Networks and PathwaysCholesterol, HDLLipids

Identifiers

PMID19060911
PMCPMC2687074

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Read underepoch 390

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.