Evidence map›Paper›PMID 26480920›Full record

ArticleInternational journal of obesity (2005)2016

Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat.

Y J Sung, L Pérusse, M A Sarzynski, M Fornage, S Sidney, B Sternfeld, T Rice, J G Terry, D R Jacobs, P Katzmarzyk and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in International journal of obesity (2005), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00959270 (Pennington Center Longitudinal), which is not on this map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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.

NCT00959270 recruitingnot on this map

Pennington Center Longitudinal (PCLS)

TypeobservationalSponsorPennington Biomedical Research CenterRan2009 to 2050Enrolled30,000ConditionsHealth Behaviors, Development of Health Problems
3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Genetics and epigenetics in the obesity phenotyping scenario.Reviews in endocrine & metabolic disorders · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Breeding potential for pork belly to the novel economic trait.Journal of animal science and technology · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

18 authors.

Y J SungDivision of Biostatistics, Washington University School of Medicine, St Louis, MO, USA.
L PérusseDepartment of Kinesiology, School of Medicine and Institute of Nutrition and Functional Foods, Laval University, Québec, Canada.
M A SarzynskiHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
M FornageDepartment of Epidemiology, Human Genetics and Environmental Sciences, Center for Human Genetics, University of Texas Health Science Center, Houston, TX, USA.
S SidneyDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
B SternfeldDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
T RiceDivision of Biostatistics, Washington University School of Medicine, St Louis, MO, USA.
J G TerryDepartment of Radiology, School of Medicine, Vanderbilt University, Nahsville, TN, USA.
D R JacobsDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
P KatzmarzykHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
J E CurranSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
J Jeffrey CarrDepartment of Radiology, School of Medicine, Vanderbilt University, Nahsville, TN, USA.ORCID http://orcid.org/0000-0002-4398-8237
J BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
S GhoshCardiovascular and Metabolic Disorders Program and Center for Computational Biology, Duke-NUS Graduate Medical School, Singapore.
J-P DesprésDepartment of Kinesiology, School of Medicine and Institute of Nutrition and Functional Foods, Laval University, Québec, Canada.
T RankinenHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
D C RaoDivision of Biostatistics, Washington University School of Medicine, St Louis, MO, USA.
C BouchardHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Robert Lee Newton · 2005 to 2026
$26.5M
HERITAGE STUDY: GENETICS, EXERCISE &RISK FACTORSR01HL045670 · NHLBI · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI RANKINEN, TUOMO · 1992 to 2010
$6.8M
Longitudinal Changes in Pericardial Adiposity and Subclinical AtherosclerosisR01HL098445 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CARR, JOHN JEFFREY · 2010 to 2013
$4.6M
HERITAGE STUDY: GENETICS, EXERCISE &RISK FACTORSR01HL047317 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 1992 to 2003
$1.8M
STATISTICAL METHODS FOR GENOMIC DISSECTION OF CARDIOVASCULAR DISEASESK25HL121091 · NHLBI · WASHINGTON UNIVERSITY · PI SUNG, YUNJU · 2014 to 2018
$760k
HERITAGE STUDY: GENETICS, EXERCISE AND RISK FACTORSR01HL047321 · NHLBI · UNIVERSITY OF TEXAS AUSTIN · PI WILMORE, JACK H · 1992 to 2003
$108k
HERITAGE STUDY: GENETICS, EXERCISE &RISK FACTORSR01HL047327 · NHLBI · INDIANA UNIVERSITY BLOOMINGTON · PI SKINNER, JAMES STANFORD · 1992 to 2003
$106k
HERITAGE STUDY: GENETICS, RESP. TO EXERCISE/RISK FACTORSR01HL047323 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LEON, ARTHUR S · 1992 to 2003
$100k
CIHR FRCN-CCT-83028NHLBI NIH HHS HHSN268200900041CNHLBI NIH HHS HHSN268201300025CNHLBI NIH HHS HHSN268201300026CNHLBI NIH HHS HHSN268201300027CNHLBI NIH HHS HHSN268201300028CNHLBI NIH HHS HHSN268201300029CNHLBI NIH HHS HL-45670NHLBI NIH HHS HL-47317NHLBI NIH HHS HL-47321NHLBI NIH HHS HL-47323NHLBI NIH HHS HL-47327NHLBI NIH HHS K25 HL121091NHLBI NIH HHS R01 HL045670NHLBI NIH HHS R01 HL047317NHLBI NIH HHS R01 HL047323NHLBI NIH HHS R01 HL047327NHLBI NIH HHS R01 HL098445NHLBI NIH HHS R01-HL-098445NIA NIH HHS AG0005NIDDK NIH HHS 2P30DK072476NIDDK NIH HHS P30 DK072476NIGMS NIH HHS 1 U54 GM104940NIGMS NIH HHS 8P20 GM-1033528NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundTo identify loci associated with abdominal fat and replicate prior findings, we performed genome-wide association (GWA) studies of abdominal fat traits: subcutaneous adipose tissue (SAT); visceral adipose tissue (VAT); total adipose tissue (TAT) and visceral to subcutaneous adipose tissue ratio (VSR). SUBJECTS AND

methodsSex-combined and sex-stratified analyses were performed on each trait with (TRAIT-BMI) or without (TRAIT) adjustment for body mass index (BMI), and cohort-specific results were combined via a fixed effects meta-analysis. A total of 2513 subjects of European descent were available for the discovery phase. For replication, 2171 European Americans and 772 African Americans were available.

resultsA total of 52 single-nucleotide polymorphisms (SNPs) encompassing 7 loci showed suggestive evidence of association (P<1.0 × 10(-6)) with abdominal fat in the sex-combined analyses. The strongest evidence was found on chromosome 7p14.3 between a SNP near BBS9 gene and VAT (rs12374818; P=1.10 × 10(-7)), an association that was replicated (P=0.02). For the BMI-adjusted trait, the strongest evidence of association was found between a SNP near CYCSP30 and VAT-BMI (rs10506943; P=2.42 × 10(-7)). Our sex-specific analyses identified one genome-wide significant (P<5.0 × 10(-8)) locus for SAT in women with 11 SNPs encompassing the MLLT10, DNAJC1 and EBLN1 genes on chromosome 10p12.31 (P=3.97 × 10(-8) to 1.13 × 10(-8)). The THNSL2 gene previously associated with VAT in women was also replicated (P=0.006). The six gene/loci showing the strongest evidence of association with VAT or VAT-BMI were interrogated for their functional links with obesity and inflammation using the Biograph knowledge-mining software. Genes showing the closest functional links with obesity and inflammation were ADCY8 and KCNK9, respectively.

conclusionsOur results provide evidence for new loci influencing abdominal visceral (BBS9, ADCY8, KCNK9) and subcutaneous (MLLT10/DNAJC1/EBLN1) fat, and confirmed a locus (THNSL2) previously reported to be associated with abdominal fat in women.

Indexed as

Genome-Wide Association StudySex CharacteristicsAdultBlack or African AmericanBody Mass IndexCardiovascular DiseasesFemaleGenetic Predisposition to DiseaseHumansIntra-Abdominal FatMaleMiddle AgedPhenotypePolymorphism, Single NucleotideSex FactorsSubcutaneous Fat, Abdominal

Identifiers

PMID26480920
PMCPMC4821694

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Registered trials

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.