Evidence map›Paper›PMID 30525989›Full record

ArticleCirculation. Genomic and precision medicine2018

Bivariate Genome-Wide Association Scan Identifies 6 Novel Loci Associated With Lipid Levels and Coronary Artery Disease.

Katherine M Siewert, Benjamin F Voight

Abstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Katherine M SiewertGenomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia (K.M.S.).
Benjamin F VoightDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (B.F.V.).

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
NHGRI NIH HHS T32 HG000046NIDDK NIH HHS R01 DK101478
6 · The paper itself

Abstract

backgroundPlasma lipid levels are heritable and genetically associated with risk of coronary artery disease (CAD). However, genome-wide association studies (GWAS) routinely analyze these traits independent of one another. Joint GWAS for two related phenotypes can lead to a higher powered analysis to detect variants contributing to both traits.

methodsWe performed a bivariate GWAS to discover novel loci associated with both heart disease, using a CAD meta-analysis (122 733 cases and 424 528 controls), and lipid traits, using results from the Global Lipid Genetics Consortium (188 577 subjects).

resultsWe identified six previously unreported loci at genome-wide significance ( P<5×10

conclusionsWe discovered six novel variants individually associated with both lipids and CAD.

Indexed as

AdultAgedCholesterol, HDLCholesterol, LDLCoronary Artery DiseaseFemaleGenetic LociGenome-Wide Association StudyGenotypeHumansLipidsMaleMiddle AgedPhenotypePolymorphism, Single NucleotideTriglyceridesCholesterol, HDLCholesterol, LDLLipidsTriglyceridescoronary artery diseasegenomicsheart diseaseslipidstriglycerides

Identifiers

PMID30525989
PMCPMC6291836

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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.