Evidence map›Paper›PMID 35413122›Full record

ArticleHuman reproduction (Oxford, England)2022

Interaction between cigarette smoking and genetic polymorphisms on the associations with age of natural menopause and reproductive lifespan: the Singapore Chinese Health Study.

Zhongwei Huang, Xuling Chang, Ling Wang, Jianjun Liu, Chew-Kiat Heng, Chiea-Chuen Khor, Jian-Min Yuan, Woon-Puay Koh, Rajkumar Dorajoo

Open access · greenAbstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. 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

9 authors at 4 institutions in 3 countries.

Zhongwei HuangInstitute of Molecular and Cell Biology, Agency of Science Research and Technology, Singapore, Singapore.ORCID 0000-0002-4061-9321
Xuling ChangDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-7471-4768
Ling WangGenome Institute of Singapore, Agency of Science Research and Technology, Singapore, Singapore.
Jianjun LiuGenome Institute of Singapore, Agency of Science Research and Technology, Singapore, Singapore.
Chew-Kiat HengDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-7309-9473
Chiea-Chuen KhorGenome Institute of Singapore, Agency of Science Research and Technology, Singapore, Singapore.
Jian-Min YuanDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-7664-7084
Woon-Puay KohHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Rajkumar DorajooGenome Institute of Singapore, Agency of Science Research and Technology, Singapore, Singapore.ORCID 0000-0001-6608-2051
Agency for Science, Technology and Research · SGNational University of Singapore · SGThe University of Melbourne · AUUniversity of Pittsburgh · US

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
THE SINGAPORE COHORT STUDY OF DIET AND CANCERR01CA080205 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 1999 to 2009
$5.3M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
NCI NIH HHS R01 CA080205NCI NIH HHS R01 CA144034NCI NIH HHS UM1 CA182876NIH HHS R01 CA144034
6 · The paper itself

Abstract

study questionAre there genetic variants that interact with smoking to reduce reproductive lifespan in East-Asian women? SUMMARY ANSWER: Our study corroborates several recently identified genetic loci associated with reproductive lifespan and highlights specific genetic predispositions that may interact with smoking status to adversely affect reproductive lifespan in East-Asian women. WHAT IS KNOWN ALREADY: Epidemiological data as well as evaluations on genetic predisposition to smoke indicate on the importance of smoking in adverse effects on reproductive lifespan in women. However, there are no previous smoking and gene interaction studies for reproductive traits in East-Asian women. STUDY DESIGN, SIZE, DURATION: This population-based prospective cohort study comprised 11 643 East-Asian Chinese women with overlapping genome-wide genotyping and reproductive data. PARTICIPANTS/MATERIALS, SETTING,

methodsWe performed a genome-wide association study for reproductive lifespan in women (n = 11 643) from the Singapore Chinese Health Study (SCHS) and carried out a genome-wide interaction study to identify loci that interacted with smoking status to affect age of natural menopause and reproductive-time. MAIN RESULTS AND THE ROLE OF CHANCE: Two known loci associated with menopause, rs113430717 (near HMCES, chromosome 3, Pmeta = 5.72 × 10-15) and rs3020136 (near RAD21, chromosome 8, Pmeta = 1.38 × 10-8) were observed beyond genome-wide levels of association with age at menopause in this study. For reproductive lifespan, the genome-wide association observed at rs79784106 (chromosome 3, Pmeta = 5.05 × 10-12) was in linkage disequilibrium with the menopause lead single-nucleotide polymorphism (SNP) (rs113430717). Four additional loci, first reported to be associated with menopause, were also associated with reproductive lifespan in our study (PAdj between 7.42 × 10-5 to 4.51 × 10-3). A significant interaction was observed between smoking and an East-Asian specific SNP, rs140146885, for reduced reproductive lifespan, per copy of the minor C allele (beta = -1.417 years, Pinteraction = 2.31 × 10-10). This interaction was successfully replicated in additional independent samples (beta = -1.389 years, Pinteraction = 6.78 × 10-3). Another known variant associated with menopause, rs11031006 (near FSHB), was also observed to interact with smoking status to reduce age at menopause in our dataset (beta = -0.450 years, Padj = 0.042). LIMITATIONS, REASONS FOR CAUTION: The modest sample size of the replication datasets used likely affected the statistical power to firmly replicate all identified novel loci observed in our smoking interaction analyses. WIDER IMPLICATIONS OF THE

findingsAge of natural menopause and reproductive lifespan have clear genetic predispositions with distinct ethnic differences, and they may be adversely truncated by lifestyle factors such as smoking, which can pose a significant impact on the reproductive lifespan and future health outcomes in women. STUDY FUNDING/COMPETING INTEREST(S): The Singapore Chinese Health Study is funded by the National Medical Research Council, Singapore (NMRC/CIRG/1456/2016), National Institutes of Health (R01 CA144034 and UM1 CA182876) and National Research Foundation, Singapore (Project Number 370062002). W.-P.K. is supported by the National Medical Research Council, Singapore (MOH-CSASI19nov-0001). The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication. The authors do not report conflicts of interest. TRIAL REGISTRATION NUMBER: N/A.

Indexed as

Cigarette SmokingGenetic Predisposition to DiseaseChinaFemaleGenome-Wide Association StudyHumansLongevityMenopausePolymorphism, Single NucleotideProspective StudiesSingaporeage of menopauseChinesegenetic polymorphismsreproductive lifespansmoking

Identifiers

PMID35413122
PMCPMC9156846
OpenAlexW4223447454

What OpenQuestion holds

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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.