Article in Molecular genetics & genomic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% 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
1 citing paper in PubMed, 1 citations in OpenAlex.
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
7 authors at 1 institution in 1 country.
Lawrence F BielakDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-3443-8030
Patricia A PeyserDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Edward A Ruiz-NarvaezDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Sharon L R KardiaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Sioban D HarlowDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan · US
Funding
The Study of Women's Health Across the Nation (SWAN): The Impact of Midlife and the Menopause Transition on Health and Functioning in Early Old AgeU19AG063720 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Maria Mori Brooks · 2020 to 2026
$61.3M
WOMENS HEALTH ACROSS THE NATION--COORDINATING CENTERU01AG012553 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BROOKS, MARIA MORI · 1994 to 2019
$37.7M
SWAN Repository IVU01AG017719 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARLOW, SIOBAN D · 2000 to 2020
$25.0M
WOMENS HEALTH ACROSS THE NATION--ENDOCRINE LABU01AG012495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCONNELL, DANIEL S · 1994 to 2018
$18.8M
WOMENS HEALTH ACROSS THE NATION--PITTSBURGHU01AG012546 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MATTHEWS, KAREN · 1994 to 2019
$16.2M
WOMENS HEALTH ACROSS THE NATION--UCDAVISU01AG012554 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI GOLD, ELLEN B. · 1994 to 2019
$14.5M
WOMENS HEALTH ACROSS THE NATION--UCLAU01AG012539 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREENDALE, GAIL A · 1994 to 2018
$13.7M
Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMOCK, PAMELA J. · 2001 to 2016
$13.2M
THE STUDY OF WOMEN'S HEALTH ACROSS THE NATION-MICHIGANU01NR004061 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARLOW, SIOBAN D · 1994 to 2018
$12.9M
WOMENS HEALTH ACROSS THE NATION--CHICAGOU01AG012505 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI KRAVITZ, HOWARD M · 1994 to 2019
$11.9M
WOMENS HEALTH ACROSS THE NATION--MASSACHUSETTS GENERAL HU01AG012531 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI FINKELSTEIN, JOEL S · 1994 to 2019
$10.7M
Women's Health Across the Nation-New Jersey SiteU01AG012535 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DERBY, CAROL A. · 1994 to 2019
backgroundAge at final menstrual period (FMP) and the accompanying hormone trajectories across the menopause transition do not occur in isolation, but likely share molecular pathways. Understanding the genetics underlying the endocrinology of the menopause transition may be enhanced by jointly analyzing multiple interrelated traits.
methodsIn a sample of 347 White and 164 Black women from the Study of Women's Health Across the Nation (SWAN), we investigated pleiotropic effects of 54 candidate genetic regions of interest (ROI) on 5 menopausal traits (age at FMP and premenopausal and postmenopausal levels of follicle stimulation hormone and estradiol) using multivariate kernel regression (Multi-SKAT). A backward elimination procedure was used to identify which subset of traits were most strongly associated with a specific ROI.
resultsIn White women, the 20 kb ROI around rs10734411 was significantly associated with the multivariate distribution of age at FMP, premenopausal estradiol, and postmenopausal estradiol (omnibus p-value = .00004). This association did not replicate in the smaller sample of Black women.
conclusionThis study using a region-based, multiple-trait approach suggests a shared genetic basis among multiple facets of reproductive aging.
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.
Multivariate, region-based genetic analyses of facets of reproductive aging in White and Black women. · full record | OpenQuestion