Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method-Reference-Cited by-同舟云学术

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Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method

Published:2018-12 Issue:12 Volume:32 Page:1105-1112
ISSN:1056-8727
Container-title:Journal of Diabetes and its Complications
language:en
Short-container-title:Journal of Diabetes and its Complications

Author:

Zhang Qiang,Liu Hui-Min,Lv Wan-Qiang,He Jing-Yang,Xia Xin,Zhang Wei-Dong,Deng Hong-Wen,Sun Chang-Qing

Funder

Zhengzhou University

Key scientific research projects of universities

Publisher

Elsevier BV

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference43 articles.

1. Common SNPs explain a large proportion of the heritability for human height;Yang;Nat Genet,2010

2. Genome-wide association analyses of north American rheumatoid arthritis consortium and Framingham heart study data utilizing genome-wide linkage results;Yoo;BMC Proc,2009

3. Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis;Stahl;Nat Genet,2012

4. Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors;Andreassen;Am J Hum Genet,2013

5. metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis;Cichonska;Bioinformatics,2016

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1. Novel pleiotropic variants associated with type 2 diabetes and polycystic ovary syndrome detected using a pleiotropic cFDR method;International Journal of Diabetes in Developing Countries;2024-06-13

2. Mendelian randomization studies on coronary artery disease: a systematic review and meta-analysis;Systematic Reviews;2024-01-16

3. Bidirectional relationship between type 2 diabetes mellitus and coronary artery disease: Prospective cohort study and genetic analyses;Chinese Medical Journal;2023-12-08

4. Quantitative Expression of SFN, lncRNA CCDC18-AS1, and lncRNA LINC01343 in Human Breast Cancer as the Regulator Biomarkers in a Novel ceRNA Network: Based on Bioinformatics and Experimental Analyses;Genetics Research;2022-09-12

5. Identification of novel functional CpG-SNPs associated with type 2 diabetes and coronary artery disease;Molecular Genetics and Genomics;2020-03-11

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