Evidence map›Paper›PMID 23536822›Full record

ArticlePloS one2013

Evaluating GWAS-identified SNPs for age at natural menopause among chinese women.

Chong Shen, Ryan J Delahanty, Yu-Tang Gao, Wei Lu, Yong-Bing Xiang, Ying Zheng, Qiuyin Cai, Wei Zheng, Xiao-Ou Shu, Jirong Long

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Pattern Recognition by NOD-Like Receptors.Advances in experimental medicine and biology · 2025
    Review
  2. Article
  3. Genetic Determinants of Premature Menopause in A Mashhad Population Cohort.International journal of fertility & sterility · 2021
    Article
  4. Article
  5. Article
  6. Complex genetics of female fertility.NPJ genomic medicine · 2018
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Ovarian Physiology and GWAS: Biobanks, Biology, and Beyond.Trends in endocrinology and metabolism: TEM · 2016
    Review
  12. Genetics of the ovarian reserve.Frontiers in genetics · 2015
    Review
  13. Article
  14. Genomic markers of ovarian reserve.Seminars in reproductive medicine · 2013
    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

10 authors at 3 institutions in 2 countries.

Chong ShenDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Ryan J Delahanty
Yu-Tang Gao
Wei Lu
Yong-Bing Xiang
Ying Zheng
Qiuyin Cai
Wei Zheng
Xiao-Ou Shu
Jirong Long
Vanderbilt University Medical Center · USShanghai Cancer Institute · CNShanghai Municipal Center For Disease Control Prevention · CN

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
CANCER RISK REDUCTION AND DIET--A COHORT STUDY OF WOMENR01CA070867 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 1996 to 2007
$4.6M
MOLECULAR EPIDEMIOLOGIC STUDY OF BREAST CANCERR01CA090899 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2000 to 2009
$3.5M
Genetic Factors for Breast Cancer- A genome Wide StudyR01CA124558 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2008 to 2012
$3.1M
Soyfood, Gene Polymorphisms and Endometrial Cancer RiskR01CA092585 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2001 to 2010
$2.3M
Vanderbilt-Shanghai Chronic Disease Research Training ProgramD43TW008313 · FIC · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2009 to 2013
$1.1M
FIC NIH HHS D43 TW008313FIC NIH HHS D43TW008313NCI NIH HHS R01 CA064277NCI NIH HHS R01CA064277NCI NIH HHS R01 CA070867NCI NIH HHS R01CA070867NCI NIH HHS R01 CA090899NCI NIH HHS R01CA090899NCI NIH HHS R01 CA092585NCI NIH HHS R01CA092585NCI NIH HHS R01 CA124558NCI NIH HHS R01CA124558NCRR NIH HHS 1 UL1 RR024975NCRR NIH HHS UL1 RR024975
6 · The paper itself

Abstract

backgroundAge at natural menopause (ANM) is a complex trait with high heritability and is associated with several major hormonal-related diseases. Recently, several genome-wide association studies (GWAS), conducted exclusively among women of European ancestry, have discovered dozens of genetic loci influencing ANM. No study has been conducted to evaluate whether these findings can be generalized to Chinese women. METHODOLOGY/PRINCIPAL

findingsWe evaluated the index single nucleotide polymorphisms (SNPs) in 19 GWAS-identified genetic susceptibility loci for ANM among 3,533 Chinese women who had natural menopause. We also investigated 3 additional SNPs which were in LD with the index SNP in European-ancestry but not in Asian-ancestry populations. Two genetic risk scores (GRS) were calculated to summarize SNPs across multiple loci one for all SNPs tested (GRSall), and one for SNPs which showed association in our study (GRSsel). All 22 SNPs showed the same association direction as previously reported. Eight SNPs were nominally statistically significant with P≤0.05: rs4246511 (RHBDL2), rs12461110 (NLRP11), rs2307449 (POLG), rs12611091 (BRSK1), rs1172822 (BRSK1), rs365132 (UIMC1), rs2720044 (ASH2L), and rs7246479 (TMEM150B). Especially, SNPs rs4246511, rs365132, rs1172822, and rs7246479 remained significant even after Bonferroni correction. Significant associations were observed for GRS. Women in the highest quartile began menopause 0.7 years (P = 3.24×10(-9)) and 0.9 years (P = 4.61×10(-11)) later than those in the lowest quartile for GRSsel and GRSall, respectively.

conclusionsAmong the 22 investigated SNPs, eight showed associations with ANM (P<0.05) in our Chinese population. Results from this study extend some recent GWAS findings to the Asian-ancestry population and may guide future efforts to identify genetic determination of menopause.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideAge FactorsAsian PeopleChinaFemaleHumansMenopauseMiddle AgedRisk Factors

Identifiers

PMID23536822
PMCPMC3607593
OpenAlexW1965756118

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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.