Evidence map›Paper›PMID 25447270›Full record

Trial reportHuman genetics2015

Empirical characteristics of family-based linkage to a complex trait: the ADIPOQ region and adiponectin levels.

Jacklyn N Hellwege, Nicholette D Palmer, W Mark Brown, Mark W Brown, Julie T Ziegler, S Sandy An, Sandy S An, Xiuqing Guo, Y-D Ida Chen, Ida Y-D Chen and 10 more

Erratum issuedOpen access · greenAbstract readClinical Trial
In one paragraph

Trial report in Human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

  • Erratum issued
    Brown, Mark W [corrected to Mark Brown, W]; An, Sandy S [ corrected to Sandy An, S]; Chen, Ida Y-D [corrected to Ida Chen, Y-D]
5 · Who and what money

Authors and funding

20 authors at 6 institutions in 1 country.

Jacklyn N HellwegeCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Nicholette D Palmer
W Mark Brown
Mark W Brown
Julie T Ziegler
S Sandy An
Sandy S An
Xiuqing Guo
Y-D Ida Chen
Ida Y-D Chen
Kent Taylor
Gregory A Hawkins
Maggie C Y Ng
Elizabeth K Speliotes
Carlos Lorenzo
Jill M Norris
Jerome I Rotter
Lynne E Wagenknecht
Carl D Langefeld
Donald W Bowden
Wake Forest University · USThe Lundquist Institute · USColorado School of Public Health · USHarbor–UCLA Medical Center · USThe University of Texas Health Science Center at San Antonio · USUniversity of Michigan–Ann Arbor · 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
Genetic & Epidemiologic Predictors of Glucose Homeostasis Measures in HispanicsR01DK085175 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E, WATANABE, RICHARD M · 2010 to 2013
$6.9M
Molecular genetics of glucose homeostasis and fatR01HL060894 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 1999 to 2009
$6.0M
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 TR000124NCATS NIH HHS UL1TR000124NHGRI NIH HHS R01 HG007112NHLBI NIH HHS R01 HL060894NIDDK NIH HHS DK063491NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK085175
6 · The paper itself

Abstract

We previously identified a low-frequency (1.1 %) coding variant (G45R; rs200573126) in the adiponectin gene (ADIPOQ) which was the basis for a multipoint microsatellite linkage signal (LOD = 8.2) for plasma adiponectin levels in Hispanic families. We have empirically evaluated the ability of data from targeted common variants, exome chip genotyping, and genome-wide association study data to detect linkage and association to adiponectin protein levels at this locus. Simple two-point linkage and association analyses were performed in 88 Hispanic families (1,150 individuals) using 10,958 SNPs on chromosome 3. Approaches were compared for their ability to map the functional variant, G45R, which was strongly linked (two-point LOD = 20.98) and powerfully associated (p value = 8.1 × 10(-50)). Over 450 SNPs within a broad 61 Mb interval around rs200573126 showed nominal evidence of linkage (LOD > 3) but only four other SNPs in this region were associated with p values < 1.0 × 10(-4). When G45R was accounted for, the maximum LOD score across the interval dropped to 4.39 and the best p value was 1.1 × 10(-5). Linked and/or associated variants ranged in frequency (0.0018-0.50) and type (coding, non-coding) and had little detectable linkage disequilibrium with rs200573126 (r (2) < 0.20). In addition, the two-point linkage approach empirically outperformed multipoint microsatellite and multipoint SNP analysis. In the absence of data for rs200573126, family-based linkage analysis using a moderately dense SNP dataset, including both common and low-frequency variants, resulted in stronger evidence for an adiponectin locus than association data alone. Thus, linkage analysis can be a useful tool to facilitate identification of high-impact genetic variants.

Indexed as

FamilyGenetic LociMicrosatellite RepeatsPolymorphism, Single NucleotideAdiponectinAdolescentAdultAgedAged, 80 and overDatabases, Nucleic AcidDatasets as TopicFemaleGenetic LinkageHispanic or LatinoHumansLod ScoreAdiponectinADIPOQ protein, human

Identifiers

PMID25447270
PMCPMC4293344
OpenAlexW2038925532

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.