Evidence map›Paper›PMID 35321746›Full record

ArticleBMC medicine2022

The relationships between women's reproductive factors: a Mendelian randomisation analysis.

Claire Prince, Gemma C Sharp, Laura D Howe, Abigail Fraser, Rebecca C Richmond

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 47 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

5 authors at 2 institutions in 1 country.

Claire PrinceMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK. claire.prince@bristol.ac.uk.
Gemma C SharpMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Laura D HoweMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Abigail FraserMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Rebecca C RichmondMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
MRC Epidemiology Unit · GBUniversity of Bristol · GB

Funding

Cancer Research UK 29019Cancer Research UK C18281/A19169Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/1, MC_UU_00011/5, MC_UU_00011/6Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_00011/6Medical Research Council MR/M020894/1Medical Research Council MR/S009310/1Medical Research Council MR/S036520/1Wellcome TrustWellcome Trust 108902/B/15/Z
6 · The paper itself

Abstract

backgroundWomen's reproductive factors include their age at menarche and menopause, the age at which they start and stop having children and the number of children they have. Studies that have linked these factors with disease risk have largely investigated individual reproductive factors and have not considered the genetic correlation and total interplay that may occur between them. This study aimed to investigate the nature of the relationships between eight female reproductive factors.

methodsWe used data from the UK Biobank and genetic consortia with data available for the following reproductive factors: age at menarche, age at menopause, age at first birth, age at last birth, number of births, being parous, age first had sexual intercourse and lifetime number of sexual partners. Linkage disequilibrium score regression (LDSC) was performed to investigate the genetic correlation between reproductive factors. We then applied Mendelian randomisation (MR) methods to estimate the causal relationships between these factors. Sensitivity analyses were used to investigate directionality of the effects, test for evidence of pleiotropy and account for sample overlap.

resultsLDSC indicated that most reproductive factors are genetically correlated (r

conclusionThis study presents evidence that women's reproductive factors are genetically correlated and causally related. Future studies examining the health sequelae of reproductive factors should consider a woman's entire reproductive history, including the causal interplay between reproductive factors.

Indexed as

Mendelian Randomization AnalysisReproductive HistoryAge FactorsChildFemaleHumansMenarcheMenopauseParturitionPregnancyRisk FactorsGenetic correlationMendelian randomisationReproductive factorsUK biobank

Identifiers

PMID35321746
PMCPMC8944090
OpenAlexW4220689928

What OpenQuestion holds

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LicenceCC BY
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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.