Evidence map›Paper›PMID 24057673›Full record

ArticleHuman molecular genetics2014

Genetic associations with expression for genes implicated in GWAS studies for atherosclerotic cardiovascular disease and blood phenotypes.

Xiaoling Zhang, Andrew D Johnson, Audrey E Hendricks, Shih-Jen Hwang, Kahraman Tanriverdi, Santhi K Ganesh, Nicholas L Smith, Patricia A Peyser, Jane E Freedman, Christopher J O'Donnell

Open access · greenAbstract read
In one paragraph

Article in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 59 citations in OpenAlex.

  1. Trial
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  7. Review
  8. Big Data in Gastroenterology Research.International journal of molecular sciences · 2023
    Review
  9. VEGF-A related SNPs: a cardiovascular context.Frontiers in cardiovascular medicine · 2023
    Review
  10. Article
  11. Article
  12. Review
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  19. Article
  20. Comprehensive population-based genome sequencing provides insight into hematopoietic regulatory mechanisms.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
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

10 authors at 5 institutions in 1 country.

Xiaoling ZhangDivision of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Andrew D Johnson
Audrey E Hendricks
Shih-Jen Hwang
Kahraman Tanriverdi
Santhi K Ganesh
Nicholas L Smith
Patricia A Peyser
Jane E Freedman
Christopher J O'Donnell
National Institutes of Health · USUniversity of Massachusetts Chan Medical School · USUniversity of Michigan–Ann Arbor · USKaiser Permanente Washington Health Research Institute · USNational Heart Lung and Blood Institute · US

Funding

Cardiovascular Genomics and Bioinformatics projectsZIAHL006170 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI JOHNSON, ANDREW · 2013 to 2025
$25.3M
Translational Research Skills Development CoreU54HL112311 · NHLBI · UNIVERSITY OF UTAH · PI WEYRICH, ANDREW S, ZIMMERMAN, GUY A. · 2012 to 2016
$12.9M
Genomic Epidemiology of Cardiovascular DiseaseZIAHL006002 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2009 to 2015
$8.0M
Interdisciplinary Training for BiostatisticiansT32GM074905 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2005 to 2019
$3.0M
Gene Expression for Functional Genomics in Human PopulationsZIAHL006175 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.2M
Functional Genetic Variation Underlying Cardiovascular Genomic EpidemiologyZIAHL006173 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.0M
Intramural NIH HHSNHLBI NIH HHS U54 HL112311NIGMS NIH HHS T32 GM074905
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have uncovered many genetic associations for cardiovascular disease (CVD). However, data are limited regarding causal genetic variants within implicated loci. We sought to identify regulatory variants (cis- and trans-eQTLs) affecting expression levels of 93 genes selected by their proximity to SNPs with significant associations in prior GWAS for CVD traits. Expression levels were measured by qRT-PCR in leukocytes from 1846 Framingham Heart Study participants. An additive genetic model was applied to 2.5 million imputed SNPs for each gene. Approximately 45% of genes (N = 38) harbored at least one cis-eSNP after a regional multiple-test adjustment. Applying a more rigorous significance threshold (P < 5 × 10(-8)), we found the expression level of 10 genes was significantly associated with more than one cis-eSNP. The top cis-eSNPs for 7 of these 10 genes exhibited moderate-to-strong association with ≥ 1 CVD clinical phenotypes. Several eSNPs or proxy SNPs (r(2) = 1) were replicated by other eQTL studies. After adjusting for the lead GWAS SNPs for the 10 genes, expression variances explained by top cis-eSNPs were attenuated markedly for LPL, FADS2 and C6orf184, suggesting a shared genetic basis for the GWAS and expression trait. A significant association between cis-eSNPs, gene expression and lipid levels was discovered for LPL and C6orf184. In conclusion, strong cis-acting variants are localized within nearly half of the GWAS loci studied, with particularly strong evidence for a regulatory role of the top GWAS SNP for expression of LPL, FADS2 and C6orf184.

Indexed as

Polymorphism, Single NucleotideAtherosclerosisCardiovascular DiseasesComputer SimulationFatty Acid DesaturasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLeukocytesLipidsLipoprotein LipaseMassachusettsModels, GeneticPseudogenesQuantitative Trait LociReproducibility of ResultsFADS2 protein, humanFatty Acid DesaturasesLipidsLipoprotein LipaseLPL protein, human

Identifiers

PMID24057673
PMCPMC3900869
OpenAlexW2133765201

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.