Evidence map›Paper›PMID 20725740›Full record

ArticleHuman genetics2010

Sex-specific genetic architecture of human fatness in Chinese: the SAPPHIRe Study.

Y-F Chiu, L-M Chuang, H-Y Kao, K-C Shih, M-W Lin, W-J Lee, T Quertermous, J D Curb, I Chen, B L Rodriguez and 1 more

Open access · greenAbstract read
In one paragraph

Article in Human genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Multivariate genetic architecture reveals testosterone-driven sexual antagonism in contemporary humans.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Article
  4. Genomics of body fat distribution.Journal of genetics · 2021
    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

11 authors at 8 institutions in 2 countries.

Y-F ChiuDivision of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, 35 Keyan Rd, Zhunan, Miaoli 350, Taiwan, ROC.
L-M Chuang
H-Y Kao
K-C Shih
M-W Lin
W-J Lee
T Quertermous
J D Curb
I Chen
B L Rodriguez
C A Hsiung
National Health Research Institutes · TWPacific Health Research and Education Institute · USCardiovascular Institute of the South · USCedars-Sinai Medical Center · USNational Defense Medical Center · TWNational Taiwan University Hospital · TWNational Yang Ming Chiao Tung University · TWTaichung Veterans General Hospital · TW

Funding

GENETIC DETERMINANTS OF HYPERTENSIONU01HL054527 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS NONE · 1995 to 2004
$4.6M
NHLBI NIH HHS U01 HL054527
6 · The paper itself

Abstract

To dissect the genetic architecture of sexual dimorphism in obesity-related traits, we evaluated the sex-genotype interaction, sex-specific heritability and genome-wide linkages for seven measurements related to obesity. A total of 1,365 non-diabetic Chinese subjects from the family study of the Stanford Asia-Pacific Program of Hypertension and Insulin Resistance were used to search for quantitative trait loci (QTLs) responsible for the obesity-related traits. Pleiotropy and co-incidence effects from the QTLs were also examined using the bivariate linkage approach. We found that sex-specific differences in heritability and the genotype-sex interaction effects were substantially significant for most of these traits. Several QTLs with strong linkage evidence were identified after incorporating genotype by sex (G × S) interactions into the linkage mapping, including one QTL for hip circumference [maximum LOD score (MLS) = 4.22, empirical p = 0.000033] and two QTLs: for BMI on chromosome 12q with MLS 3.37 (empirical p = 0.0043) and 3.10 (empirical p = 0.0054). Sex-specific analyses demonstrated that these linkage signals all resulted from females rather than males. Most of these QTLs for obesity-related traits replicated the findings in other ethnic groups. Bivariate linkage analyses showed several obesity traits were influenced by a common set of QTLs. All regions with linkage signals were observed in one gender, but not in the whole sample, suggesting the genetic architecture of obesity-related traits does differ by gender. These findings are useful for further identification of the liability genes for these phenotypes through candidate genes or genome-wide association analysis.

Indexed as

Sex CharacteristicsAdultAsian PeopleBody Mass IndexChromosome MappingFemaleGenome-Wide Association StudyGenotypeHawaiiHumansLod ScoreMaleMiddle AgedObesityOdds RatioPhenotype

Identifiers

PMID20725740
PMCPMC4446122
OpenAlexW2080230943

What OpenQuestion holds

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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.