Evidence map›Paper›PMID 27896934›Full record

ArticleJournal of diabetes2017

Increased identification of novel variants in type 2 diabetes, birth weight and their pleiotropic loci.

Chun-Ping Zeng, Yuan-Cheng Chen, Xu Lin, Jonathan Greenbaum, You-Ping Chen, Cheng Peng, Xia-Fang Wang, Rou Zhou, Wei-Min Deng, Jie Shen and 1 more

Abstract read
In one paragraph

Article in Journal of diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Chun-Ping ZengDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Yuan-Cheng ChenDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Xu LinDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Jonathan GreenbaumDepartment of Biostatistics and Bioinformatics, Center for Bioinformatics and Genomics, Tulane University, New Orleans, Louisiana, USA.
You-Ping ChenDepartment of Endocrinology and Metabolism, Affiliated Nanhai Hospital of Southern Medical University, Guangzhou, China.
Cheng PengDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Xia-Fang WangDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Rou ZhouDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Wei-Min DengDepartment of Rehabilitation, General Hospital of Guangzhou Military Command of Chinese PLA, Guangzhou, China.
Jie ShenDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Hong-Wen DengDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.

Funding

Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HUI SHEN · 2017 to 2026
$24.3M
ROBUST AND POWERFUL TEST OF CANDIDATE GENES TO BONE MASSR01AR050496 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2004 to 2013
$3.8M
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
Identification of Proteins Important for Male OsteoporosisR01AR057049 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2013
$2.4M
NIAMS NIH HHS R01 AR050496NIAMS NIH HHS R01 AR057049NIAMS NIH HHS R01 AR059781NIA NIH HHS U19 AG055373
6 · The paper itself

Abstract

backgroundClinical and epidemiological findings point to an association between type 2 diabetes (T2D) and low birth weight. However, the nature of the relationship is largely unknown. The aim of this study was to identify novel single nucleotide polymorphisms (SNPs) in T2D and birth weight, and their pleiotropic loci.

methodsA pleiotropy-informed conditional false discovery rate (cFDR) method was applied to two independent genome-wide association studies (GWAS) summary statistics of T2D (n = 149 821) and birth weight (n = 26 836).

resultsA conditional Q-Q plot showed strong enrichment of genetic variants in T2D conditioned on different levels of association with birth weight. 133 T2D-associated SNPs, including 120 novel SNPs, were identified with a significance threshold of cFDR < 0.05; 13 significant birth weight-associated SNPs, including 12 novel SNPs (cFDR < 0.05) were identified. Conjunctional cFDR (ccFDR) analysis identified nine pleiotropic loci, including seven novel loci, shared by both T2D and birth weight (ccFDR < 0.05). Two novel SNPs located at the CDK5 regulatory subunit-associated protein 1-like 1 (CDKAL1; rs1012635; cFDR < 0.05) and adenylate cyclase 5 (ADCY5; rs4677887; cFDR < 0.05) genes are of note. These two genes increase the risk of T2D and low birth weight through the pathway of the "fetal insulin hypothesis."

conclusionSeveral pleiotropic loci were identified between T2D and birth weight by leveraging GWAS results. The results make it possible to explain a greater proportion of trait heritability and improve our understanding of the shared pathophysiology between T2D and birth weight.

Indexed as

Genetic LociGenetic PleiotropyPolymorphism, Single NucleotideBirth WeightDatasets as TopicDiabetes Mellitus, Type 2False Positive ReactionsGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMeta-Analysis as Topic2型糖尿病birth weightgenome-wide association studypleiotropytype 2 diabetes全基因组联分析出生体重基因多效性

Identifiers

PMID27896934
PMCPMC5841537

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.