Evidence map›Paper›PMID 24719370›Full record

ArticleGenetic epidemiology2014

Genome-wide family-based linkage analysis of exome chip variants and cardiometabolic risk.

Jacklyn N Hellwege, Nicholette D Palmer, Laura M Raffield, Maggie C Y Ng, Gregory A Hawkins, Jirong Long, Carlos Lorenzo, Jill M Norris, Y-D Ida Chen, Elizabeth K Speliotes and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetic epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  3. Artificial intelligence perspective in the future of endocrine diseases.Journal of diabetes and metabolic disorders · 2022
    Review
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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

14 authors at 7 institutions in 1 country.

Jacklyn N HellwegeMolecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
Nicholette D Palmer
Laura M Raffield
Maggie C Y Ng
Gregory A Hawkins
Jirong Long
Carlos Lorenzo
Jill M Norris
Y-D Ida Chen
Elizabeth K Speliotes
Jerome I Rotter
Carl D Langefeld
Lynne E Wagenknecht
Donald W Bowden
Wake Forest University · USColorado School of Public Health · USHarbor–UCLA Medical Center · USThe Lundquist Institute · USThe University of Texas Health Science Center at San Antonio · USUniversity of Michigan–Ann Arbor · USVanderbilt Health · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African AmericansR01HG007112 · NHGRI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W, LANGEFELD, CARL D · 2012 to 2016
$4.8M
NCATS NIH HHS UL1 TR000124NHGRI NIH HHS R01 HG007112NIDDK NIH HHS P30 DK063491
6 · The paper itself

Abstract

Linkage analysis of complex traits has had limited success in identifying trait-influencing loci. Recently, coding variants have been implicated as the basis for some biomedical associations. We tested whether coding variants are the basis for linkage peaks of complex traits in 42 African-American (n = 596) and 90 Hispanic (n = 1,414) families in the Insulin Resistance Atherosclerosis Family Study (IRASFS) using Illumina HumanExome Beadchips. A total of 92,157 variants in African Americans (34%) and 81,559 (31%) in Hispanics were polymorphic and tested using two-point linkage and association analyses with 37 cardiometabolic phenotypes. In African Americans 77 LOD scores greater than 3 were observed. The highest LOD score was 4.91 with the APOE SNP rs7412 (MAF = 0.13) with plasma apolipoprotein B (ApoB). This SNP was associated with ApoB (P-value = 4 × 10(-19)) and accounted for 16.2% of the variance in African Americans. In Hispanic families, 104 LOD scores were greater than 3. The strongest evidence of linkage (LOD = 4.29) was with rs5882 (MAF = 0.46) in CETP with HDL. CETP variants were strongly associated with HDL (0.00049 < P-value <4.6 × 10(-12)), accounting for up to 4.5% of the variance. These loci have previously been shown to have effects on the biomedical traits evaluated here. Thus, evidence of strong linkage in this genome wide survey of primarily coding variants was uncommon. Loci with strong evidence of linkage was characterized by large contributions to the variance, and, in these cases, are common variants. Less compelling evidence of linkage and association was observed with additional loci that may require larger family sets to confirm.

Indexed as

Genome-Wide Association StudyOligonucleotide Array Sequence AnalysisAdolescentAdultAgedAged, 80 and overApolipoproteinsAtherosclerosisBlack or African AmericanCholesterol Ester Transfer ProteinsExomeFemaleGenetic LinkageGenetic Predisposition to DiseaseHispanic or LatinoHumansApolipoproteinsCETP protein, humanCholesterol Ester Transfer ProteinsLipoproteins, HDLAfrican Americangenetic varianceHispanic

Identifiers

PMID24719370
PMCPMC4281959
OpenAlexW1495342616

What OpenQuestion holds

Textmetadata
LicenceTDM
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.