Evidence map›Paper›PMID 25170055›Full record

SynthesisCirculation. Cardiovascular genetics2014

Multiple associated variants increase the heritability explained for plasma lipids and coronary artery disease.

Hayato Tada, Hong-Hee Won, Olle Melander, Jian Yang, Gina M Peloso, Sekar Kathiresan

Abstract readMeta-Analysis
In one paragraph

Synthesis in Circulation. Cardiovascular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Article
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  15. Review
  16. Heritability of Vascular Structure and Function: A Parent-Child Study.Journal of the American Heart Association · 2017
    Article
  17. Article
  18. Article
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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

6 authors.

Hayato TadaFrom the Center for Human Genetic Research, Massachusetts General Hospital, Boston (H.T., H.-H.W., G.M.P., S.K.); Broad Institute, Program in Medical and Population Genetics, Cambridge, MA (H.T., H.-H.W., G.M.P., S.K.); Department of Clinical Sciences, Lund University, Lund, Sweden (O.M.); Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden (O.M.); and Queensland Institute of Medical Research, Brisbane, Queensland, Australia (J.Y.).
Hong-Hee WonFrom the Center for Human Genetic Research, Massachusetts General Hospital, Boston (H.T., H.-H.W., G.M.P., S.K.); Broad Institute, Program in Medical and Population Genetics, Cambridge, MA (H.T., H.-H.W., G.M.P., S.K.); Department of Clinical Sciences, Lund University, Lund, Sweden (O.M.); Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden (O.M.); and Queensland Institute of Medical Research, Brisbane, Queensland, Australia (J.Y.).
Olle MelanderFrom the Center for Human Genetic Research, Massachusetts General Hospital, Boston (H.T., H.-H.W., G.M.P., S.K.); Broad Institute, Program in Medical and Population Genetics, Cambridge, MA (H.T., H.-H.W., G.M.P., S.K.); Department of Clinical Sciences, Lund University, Lund, Sweden (O.M.); Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden (O.M.); and Queensland Institute of Medical Research, Brisbane, Queensland, Australia (J.Y.).
Jian YangFrom the Center for Human Genetic Research, Massachusetts General Hospital, Boston (H.T., H.-H.W., G.M.P., S.K.); Broad Institute, Program in Medical and Population Genetics, Cambridge, MA (H.T., H.-H.W., G.M.P., S.K.); Department of Clinical Sciences, Lund University, Lund, Sweden (O.M.); Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden (O.M.); and Queensland Institute of Medical Research, Brisbane, Queensland, Australia (J.Y.).
Gina M PelosoFrom the Center for Human Genetic Research, Massachusetts General Hospital, Boston (H.T., H.-H.W., G.M.P., S.K.); Broad Institute, Program in Medical and Population Genetics, Cambridge, MA (H.T., H.-H.W., G.M.P., S.K.); Department of Clinical Sciences, Lund University, Lund, Sweden (O.M.); Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden (O.M.); and Queensland Institute of Medical Research, Brisbane, Queensland, Australia (J.Y.).
Sekar KathiresanFrom the Center for Human Genetic Research, Massachusetts General Hospital, Boston (H.T., H.-H.W., G.M.P., S.K.); Broad Institute, Program in Medical and Population Genetics, Cambridge, MA (H.T., H.-H.W., G.M.P., S.K.); Department of Clinical Sciences, Lund University, Lund, Sweden (O.M.); Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden (O.M.); and Queensland Institute of Medical Research, Brisbane, Queensland, Australia (J.Y.). sekar@broadinstitute.org.

Funding

MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
Discovery of Mendelian Dyslipidemia and Heart Attack Genes Using Exome SequencingR01HL107816 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KATHIRESAN, SEKAR · 2011 to 2015
$2.7M
European Research Council 282255NHLBI NIH HHS R01 HL107816NHLBI NIH HHS R01HL107816NHLBI NIH HHS T32 HL007208NHLBI NIH HHS T32HL007208
6 · The paper itself

Abstract

backgroundPlasma lipid levels as well as coronary artery disease (CAD) have been shown to be highly heritable with estimates ranging from 40% to 60%. However, top variants detected by large-scale genome-wide association studies explain only a fraction of the total variance in plasma lipid phenotypes and CAD. METHODS AND

resultsWe performed a conditional and joint association analysis using summary-level statistics from 2 large genome-wide association meta-analyses: the Global Lipids Genetics Consortium (GLGC) study, and the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) study. There were 100 184 individuals from 46 GLGC studies for plasma lipids, and 22 233 cases and 64 762 controls from 14 studies for CAD. We detected several loci where multiple independent single-nucleotide polymorphisms were associated with lipid traits within a locus (12 out of 33 loci for high-density lipoprotein cholesterol, 10 of 35 loci for low-density lipoprotein cholesterol, 13 of 44 loci for total cholesterol, and 8 of 28 loci for triglycerides), reaching genome-wide significance (P<5×10(-8)), nearly doubling the heritability explained by genome-wide association studies (from 3.6 to 7.6% for high-density lipoprotein cholesterol, from 5.0 to 8.8% for low-density lipoprotein cholesterol, from 5.5 to 8.8% for total cholesterol, and from 5.7 to 8.5% for triglycerides). Multiple single-nucleotide polymorphisms were also associated with CAD (3 of 15 loci; an increase from 9.6% to 11.4% of heritability explained).

conclusionsThese results demonstrate that a portion of the missing heritability for lipid traits and CAD can be explained by multiple variants at each locus.

Indexed as

Genetic VariationCholesterol, HDLCholesterol, LDLCoronary Artery DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumLipidsModels, GeneticPhenotypePolymorphism, Single NucleotideReference ValuesCholesterol, HDLCholesterol, LDLLipidscoronary artery diseasegeneticsgenome-wide association studylipids

Identifiers

PMID25170055
PMCPMC4341828

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.