A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Meta-analysis of association studies between five candidate genes and type 2 diabetes in Chinese Han population. | LitMetric

Meta-analysis of association studies between five candidate genes and type 2 diabetes in Chinese Han population.

Endocrine

Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing 100044, People's Republic of China.

Published: October 2012

The multiple small-scale association studies of candidate genes for type 2 diabetes mellitus in the Chinese Han population have shown inconsistent results. Here, we performed a meta-analysis to evaluate the contribution of five candidate genes to the pathogenesis of type 2 diabetes in the Chinese Han population. We searched for relevant published papers and used STATA v.11.0 to perform a meta-analysis on six single-nucleotide polymorphisms in five genes-ADIPOQ-rs2241766 (SNP45) and -rs1501299 (SNP276), ADRB3-rs4994 (Trp64Arg), CAPN10-rs3792267 (SNP43), ENPP1-rs1044498 (K121Q), and PPARGC1A-rs8192678 (Gly482Ser)-in the Chinese Han population under an additive genetic model. The pooled odds ratios (95% confidence intervals and P-values) were 0.71 (0.60-0.83; P < 0.001) for ADIPOQ-rs2241766, 0.79 (0.64-0.97; P = 0.027) for ADIPOQ-rs1501299, 1.27 (1.07-1.51; P = 0.006) for ADRB3-rs4994, 0.79 (0.57-1.10; P = 0.163) for CAPN10-rs3792267, 1.41 (1.13-1.76; P = 0.003) for ENPP1-rs1044498, and 1.54 (1.34-1.81; P < 0.001) for PPARGC1A-rs8192678. There was high heterogeneity for ADIPOQ-rs2241766, ADIPOQ-rs1501299, and CAPN10-rs3792267 (I² = 74.9, 69.4, and 75.8%, respectively), but not for ADRB3-rs4994, ENPP1-rs1044498, and PPARGC1A-rs8192678 (I² = 0.0, 43.4, and 23.3%, respectively). Under an additive genetic model, the C allele of ADRB3-rs4994, the C allele of ENPP1-rs1044498, and the A allele of PPARGC1A-rs8192678 increase the risk of type 2 diabetes in the Chinese Han population.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s12020-012-9643-xDOI Listing

Publication Analysis

Top Keywords

chinese han
20
han population
20
type diabetes
16
candidate genes
12
diabetes chinese
12
association studies
8
studies candidate
8
genes type
8
additive genetic
8
genetic model
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!