Evidence map›Paper›PMID 29848177›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2019

Transcriptome-Wide Association Study Identifies Susceptibility Loci and Genes for Age at Natural Menopause.

Jiajun Shi, Lang Wu, Bingshan Li, Yingchang Lu, Xingyi Guo, Qiuyin Cai, Jirong Long, Wanqing Wen, Wei Zheng, Xiao-Ou Shu

Erratum issuedAbstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Challenges and Opportunities for Data Science in Women's Health.Annual review of biomedical data science · 2023
    Review
  4. Article
  5. Pathogenic Variants in ZSWIM7 Cause Primary Ovarian Insufficiency.The Journal of clinical endocrinology and metabolism · 2022
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jiajun Shi1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Lang Wu1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Bingshan Li2 Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
Yingchang Lu1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Xingyi Guo1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Qiuyin Cai1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Jirong Long1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Wanqing Wen1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Wei Zheng1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Xiao-Ou Shu1 Department of Medicine, Vanderbilt Epidemiology Center and Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.ORCID 0000-0002-0711-8314

Funding

Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerT32CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiao-Ou Shu · 2017 to 2026
$3.8M
MOLECULAR EPIDEMIOLOGIC STUDY OF BREAST CANCERR01CA090899 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2000 to 2009
$3.5M
Consortium Study to Identify Breast Cancer Susceptibility LociR01CA148667 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2011 to 2015
$3.3M
Breast Cancer Survival: Lifestyle and Genetic DeterminantsR01CA118229 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2007 to 2010
$2.9M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerR25CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, SHU, XIAO-OU · 2012 to 2016
$2.1M
NCI NIH HHS R01 CA064277NCI NIH HHS R01 CA090899NCI NIH HHS R01 CA118229NCI NIH HHS R01 CA148667NCI NIH HHS R25 CA160056NCI NIH HHS T32 CA160056
6 · The paper itself

Abstract

objectiveTo identify novel susceptibility genes for age at natural menopause (ANM).

methodsUsing transcription data generated in tissues from normal hypothalami (n = 73) and ovaries (n = 68) and high-density genotyping data provided by the Genotype-Tissue Expression (GTEx) database, we built 16 164 genetic models to predict gene expression across the transcriptome in these tissues. We used these models and summary statistics data from genome-wide association studies (GWAS) of ANM generated in 69 360 women of European ancestry to identify genes with their predicted expression related to ANM.

resultsWe found the predicted expression of 34 genes to be significantly associated with ANM at a Bonferroni-corrected threshold of P < 3.09 ×10

conclusionResults from this transcriptome-wide association study, which integrated Expression quantitative trait loci (eQTL) data with summary statistics of GWAS of ANM, improves our understanding of the genetics and biology of female reproductive aging.

Indexed as

TranscriptomeAge FactorsFemaleGene Expression ProfilingHumansHypothalamusMenopauseModels, BiologicalOvaryPolymorphism, Single NucleotideQuantitative Trait LociWhite Peopleage at natural menopauseexpression quantitative trait locigenome-wide association studiestranscriptome-wide association studies

Identifiers

PMID29848177
PMCPMC6421625

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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.