Evidence map›Paper›PMID 19426517›Full record

ArticleBMC medical genetics2009

Suggestion for linkage of chromosome 1p35.2 and 3q28 to plasma adiponectin concentrations in the GOLDN Study.

Laura J Rasmussen-Torvik, James S Pankow, James M Peacock, Ingrid B Borecki, James E Hixson, Michael Y Tsai, Edmond K Kabagambe, Donna K Arnett

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CPT1A methylation is associated with plasma adiponectin.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Fenofibrate and metabolic syndrome.Endocrine, metabolic & immune disorders drug targets · 2010
    Review
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

8 authors at 5 institutions in 1 country.

Laura J Rasmussen-TorvikDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA. rasm0218@umn.edu
James S Pankow
James M Peacock
Ingrid B Borecki
James E Hixson
Michael Y Tsai
Edmond K Kabagambe
Donna K Arnett
Minnesota Department of Health · USUniversity of Alabama · USThe University of Texas Health Science Center at Houston · USUniversity of Minnesota · USWashington University in St. Louis · US

Funding

Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
Cardiovascular Disease Epidemiology &Prevention TrngT32HL007779 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PAMELA L. Lutsey, JAMES S PANKOW · 1994 to 2026
$9.3M
NHLBI NIH HHS T32 HL007779NHLBI NIH HHS T32 HL07779NHLBI NIH HHS U01 HL072524NHLBI NIH HHS U01 HL72524
6 · The paper itself

Abstract

backgroundAdiponectin is inversely associated with obesity, insulin resistance, and atherosclerosis, but little is known about the genetic pathways that regulate the plasma level of this protein. To find novel genes that influence circulating levels of adiponectin, a genome-wide linkage scan was performed on plasma adiponectin concentrations before and after 3 weeks of treatment with fenofibrate (160 mg daily) in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study. We studied Caucasian individuals (n = 1121) from 190 families in Utah and Minnesota. Of these, 859 individuals from 175 families had both baseline and post-fenofibrate treatment measurements for adiponectin. Plasma adiponectin concentrations were measured with an ELISA assay. All participants were typed for microsatellite markers included in the Marshfield Mammalian Genotyping Service marker set 12, which includes 407 markers spaced at approximately 10 cM regions across the genome. Variance components analysis was used to estimate heritability and to perform genome-wide scans. Adiponectin was adjusted for age, sex, and field center. Additional models also included BMI adjustment.

resultsBaseline and post-fenofibrate adiponectin measurements were highly correlated (r = 0.95). Suggestive (LOD > 2) peaks were found on chromosomes 1p35.2 and 3q28 (near the location of the adiponectin gene).

conclusionTwo candidate genes, IL22RA1 and IL28RA, lie under the chromosome 1 peak; further analyses are needed to identify the specific genetic variants in this region that influence circulating adiponectin concentrations.

Indexed as

Chromosomes, Human, Pair 1Chromosomes, Human, Pair 3AdiponectinAdolescentAdultAgedAged, 80 and overBody Mass IndexEnzyme-Linked Immunosorbent AssayFemaleFenofibrateGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansHypolipidemic AgentsLod ScoreAdiponectinADIPOQ protein, humanFenofibrateHypolipidemic Agents

Identifiers

PMID19426517
PMCPMC2691741
OpenAlexW1976256022

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.