Evidence mapPaperPMID 36698149Full record

ArticleJournal of translational medicine2023

Lipolysis and gestational diabetes mellitus onset: a case-cohort genome-wide association study in Chinese.

Miao Zhang, Qing Li, Kai-Lin Wang, Yao Dong, Yu-Tong Mu, Yan-Min Cao, Jin Liu, Zi-Heng Li, Hui-Lu Cui, Hai-Yan Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

12 authors at 2 institutions in 2 countries.

Miao Zhang *Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Qing Li *Department of Obstetrics and Gynecology, Anqing Municipal Hospital, Anqing, 246003, China.
Kai-Lin WangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Yao DongDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Yu-Tong MuDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Yan-Min CaoDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Jin LiuDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Zi-Heng LiDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Hui-Lu CuiDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Hai-Yan LiuDepartment of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China. lhyan929@163.com.
An-Qun HuDepartment of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China. haq0828@hotmail.com.
Ying-Jie ZhengDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China. yjzheng@fudan.edu.cn.ORCID 0000-0002-0391-2254
Fudan University · CNAnqing City Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic knowledge of gestational diabetes mellitus (GDM) in Chinese women is quite limited. This study aimed to identify the risk factors and mechanism of GDM at the genetic level in a Chinese population.

methodsWe conducted a genome-wide association study (GWAS) based on single nucleotide polymorphism (SNP) array genotyping (ASA-CHIA Bead chip, Illumina) and a case-cohort study design. Variants including SNPs, copy number variants (CNVs), and insertions-deletions (InDels) were called from genotyping data. A total of 2232 pregnant women were enrolled in their first/second trimester between February 2018 and December 2020 from Anqing Municipal Hospital in Anhui Province, China. The GWAS included 193 GDM patients and 819 subjects without a diabetes diagnosis, and risk ratios (RRs) and their 95% confidence intervals (CIs) were estimated by a regression-based method conditional on the population structure. The calling and quality control of genotyping data were performed following published guidelines. CNVs were merged into CNV regions (CNVR) to simplify analyses. To interpret the GWAS results, gene mapping and overexpression analyses (ORAs) were further performed to prioritize the candidate genes and related biological mechanisms.

resultsWe identified 14 CNVRs (false discovery rate corrected P values < 0.05) and two suggestively significant SNPs (P value < 0.00001) associated with GDM, and a total of 19 candidate genes were mapped. Ten genes were significantly enriched in gene sets related to lipase (triglyceride lipase and lipoprotein lipase) activity (LIPF, LIPK, LIPN, and LIPJ genes), oxidoreductase activity (TPH1 and TPH2 genes), and cellular components beta-catenin destruction complex (APC and GSK3B genes), Wnt signalosome (APC and GSK3B genes), and lateral element in the Gene Ontology resource (BRCA1 and SYCP2 genes) by two ORA methods (adjusted P values < 0.05).

conclusionsGenes related to lipolysis, redox reaction, and proliferation of islet β-cells are associated with GDM in Chinese women. Energy metabolism, particularly lipolysis, may play an important role in GDM aetiology and pathology, which needs further molecular studies to verify.

Indexed as

Diabetes, GestationalCohort StudiesEast Asian PeopleFemaleGenome-Wide Association StudyHumansLipolysisPolymorphism, Single NucleotidePregnancyGenome-wide association studyGestational diabetes mellitusLipolysisMetabolism

Identifiers

PMID36698149
PMCPMC9875546
OpenAlexW4317910637

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.