Evidence map›Paper›PMID 25607990›Full record

ArticlePloS one2015

Association of INSIG2 polymorphism with overweight and LDL in children.

Anne-Marie Kaulfers, Ranjan Deka, Lawrence Dolan, Lisa J Martin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Anne-Marie KaulfersDivision of Pediatric Endocrinology, University of South Alabama, Mobile, Alabama, United States of America.
Ranjan DekaDepartment of Environmental Health, University of Cincinnati School of Medicine, Cincinnati, Ohio, United States of America.
Lawrence DolanDivision of Endocrinology, Cincinnati Children's Hospital Medical Center and University of Cincinnati School of Medicine, Cincinnati, Ohio, United States of America.
Lisa J MartinDivisions of Biostatistics and Epidemiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center and University of Cincinnati School of Medicine, Cincinnati, Ohio, United States of America.
University of Cincinnati · USCincinnati Children's Hospital Medical Center · USUniversity of South Alabama · US

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Alexander Miethke · 2007 to 2026
$24.4M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR026314 · NCRR · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2009 to 2011
$14.3M
LANDMARKS IN THE PROGRESSION TO TYPE II DIABETESR01DK059183 · NIDDK · CHILDREN'S HOSPITAL MED CTR (CINCINNATI) · PI DOLAN, LAWRENCE M · 2000 to 2004
$4.5M
NCRR NIH HHS 1UL1RR026314-01NCRR NIH HHS UL1 RR026314NIDDK NIH HHS DK59183NIDDK NIH HHS P30 DK078392NIDDK NIH HHS R01 DK059183
6 · The paper itself

Abstract

backgroundDyslipidemia and overweight are common issues in children. Identifying genetic markers of risk could lead to targeted interventions. A polymorphism of SNP rs7566605 near insulin-induced gene 2 (INSIG2) has been identified as a strong candidate gene for obesity, through its feedback control of lipid synthesis.

objectiveTo identify polymorphisms in INSIG2 which are associated with overweight (BMI ≥ 85% for age) and dyslipidemia in children. HYPOTHESIS: The C allele of rs7566605 would be significantly associated with BMI and LDL. DESIGN/

methodsWe genotyped 15 SNPs in/near INSIG2 in 1,058 healthy children (53% non-Hispanic white (NHW), 37% overweight) participating in a school based study. Genotype was compared with BMI and lipid markers, adjusting for age, gender, and puberty.

resultsWe found a significant association between the SNP rs12464355 and LDL in NHW children, p < 0.001. The G allele is protective (lower LDL). A different SNP was associated with overweight in NHW: rs17047757. SNP rs7566605 was not associated with overweight or lipid levels.

conclusionsWe identified novel genetic associations between INSIG2 and both overweight and LDL in NHW children. Polymorphisms in INSIG2 may be important in the development of obesity through its effects on lipid regulation.

Indexed as

Polymorphism, Single NucleotideAdolescentBody Mass IndexChildDyslipidemiasFemaleGenetic Association StudiesHumansIntracellular Signaling Peptides and ProteinsLipoproteins, LDLMaleMembrane ProteinsOverweightStudentsUnited StatesWhite PeopleINSIG2 protein, humanIntracellular Signaling Peptides and ProteinsLipoproteins, LDLMembrane Proteins

Identifiers

PMID25607990
PMCPMC4301876
OpenAlexW1985109620

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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.