Evidence map›Paper›PMID 29417738›Full record

ArticleJournal of diabetes2018

Genetic variants in sex hormone pathways and the risk of type 2 diabetes among African American, Hispanic American, and European American postmenopausal women in the US.

Atsushi Goto, Brian H Chen, Kei-Hang K Chan, Cathy Lee, Sarah C Nelson, Andrew Crenshaw, Ebony Bookman, Karen L Margolis, Michèle M Sale, MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium and 3 more

Abstract read
In one paragraph

Article in Journal of diabetes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 28% 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 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020
    Pooled it
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

13 authors at 8 institutions in 1 country.

Atsushi GotoMetabolic Epidemiology Section, Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0669-654X
Brian H ChenPopulation Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Kei-Hang K ChanDepartment of Epidemiology, Brown University, Providence, Rhode Island, USA.
Cathy LeeDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Sarah C NelsonDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Andrew CrenshawGenetic Analysis Platform, Broad Institute, Cambridge, Massachusetts, USA.
Ebony BookmanOffice of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Karen L MargolisHealthPartners Institute, Minneapolis, Minnesota, USA.
Michèle M SaleDepartment of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, Virginia, USA.
MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium
Maggie C Y NgCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, Winston-Salem, North Carolina, USA.
Alexander P ReinerDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
Simin LiuDepartment of Epidemiology, Brown University, Providence, Rhode Island, USA.
Brown University · USNational Institutes of Health · USUniversity of Washington · USBroad Institute · USHealthPartners · USUniversity of California, Los Angeles · USUniversity of Virginia · USWake Forest University · US

Funding

A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
Genetics of African American Type 2 DiabetesR01DK066358 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI NG, MAGGIE · 2003 to 2019
$6.2M
GWAS of Hormone Treatment and CVD and Metabolic Outcomes in the WHIU01HG005152 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI REINER, ALEXANDER P · 2009 to 2011
$2.6M
Randomized Clinical Trials - Whole Genome Studies Coordinating CenterU01HG005157 · NHGRI · UNIVERSITY OF WASHINGTON · PI HEAGERTY, PATRICK J, WEIR, BRUCE S. · 2009 to 2011
$2.4M
Integrative Study of Genomics, Transcriptomics and Metabolomics in Type 2 DiabetesU01DK105556 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI NG, MAGGIE · 2015 to 2019
$2.1M
SNRK(sucrose non-fermenting related kinase)and adipose energy homeostasisR01DK103699 · NIDDK · BROWN UNIVERSITY · PI XU, HAIYAN · 2015 to 2018
$1.6M
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG005152NHGRI NIH HHS U01 HG005157NIDDK NIH HHS R01 DK066358NIDDK NIH HHS R01 DK103699NIDDK NIH HHS U01 DK105556WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

backgroundSex hormones are implicated in the development of diabetes. However, whether genetic variations in sex hormone pathways (SHPs) contribute to the risk of type 2 diabetes mellitus (T2DM) remains to be determined. This study investigated associations between genetic variations in all candidate genes in SHPs and T2DM risk among a cohort of women participating in the Women's Health Initiative (WHI).

methodsSingle nucleotide polymorphisms (SNPs) located within 30 kb upstream and downstream of SHP genes were comprehensively examined in 8180 African American, 3498 Hispanic American, and 3147 European American women in the WHI. In addition, whether significant SNPs would be replicated in independent populations was examined.

resultsAfter adjusting for age, region, and ancestry estimates and correcting for multiple testing, seven SNPs were significantly associated with the risk of T2DM among Hispanic American women were identified in the progesterone receptor (PGR) gene, with rs948516 showing the greatest significance (odds ratio 0.67; 95% confidence interval 0.57-0.78; P = 8.8 × 10

conclusionSignificant signals were identified implicating the PGR gene in T2DM development in Hispanic American women in the WHI, which are consistent with genome-wide association studies findings linking PGR to glucose homeostasis. Nevertheless, the PGR SNPs-T2DM association was not statistically significant in other ethnic populations. Further studies, especially sex-specific analyses, are needed to confirm the findings and clarify the role of SHPs in T2DM.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideAgedBiomarkersBlack or African AmericanCase-Control StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHispanic or LatinoHumansMiddle AgedPostmenopausePrognosisReceptors, ProgesteroneWhite PeopleBiomarkersReceptors, Progesteronediabetes risksex hormone pathwayssingle nucleotide polymorphisms单核苷酸多态性性激素途径糖尿病风险

Identifiers

PMID29417738
PMCPMC5980699
OpenAlexW2791928191

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.