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Hectd4

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https://www.readbyqxmd.com/read/26891264/no-interaction-with-alcohol-consumption-but-independent-effect-of-c12orf51-hectd4-on-type-2-diabetes-mellitus-in-korean-adults-aged-40-69-years-the-koges_ansan-and-ansung-study
#1
Jihye Kim, Bermseok Oh, Ji Eun Lim, Mi Kyung Kim
Previously, genetic polymorphisms of C12orf51 (HECTD4) (rs2074356 and/or rs11066280) have been shown to be related to alcohol consumption and type 2 diabetes (T2D). This study aimed to prospectively examine whether C12orf51 had an interaction with or independent effect on alcohol consumption and the risk of T2D. The present study included 3,244 men and 3,629 women aged 40 to 69 years who participated in the Korean Genome and Epidemiology Study (KoGES)_Ansan and Ansung Study. Cox proportional hazards models were used to estimate HRs and 95% CIs for T2D...
2016: PloS One
https://www.readbyqxmd.com/read/26675016/a-genome-wide-association-study-uncovers-a-genetic-locus-associated-with-thoracic-to-hip-ratio-in-koreans
#2
Seongwon Cha, Ah Yeon Park, Changsoo Kang
The thoracic-to-hip circumference ratio (THR) is an anthropometric marker recently described as a predictor of type 2 diabetes. In this study, we performed a genome-wide association study (GWAS) followed by confirmatory analyses to identify genetic markers associated with THR. A total of 7,240 Korean subjects (4,988 for the discovery stage and 2,252 for the confirmatory analyses) were recruited for this study, and genome-wide single nucleotide polymorphism (SNP) genotyping of the initial 4,988 individuals was performed using Affymetrix Human SNP array 5...
2015: PloS One
https://www.readbyqxmd.com/read/25820152/novel-genes-affecting-blood-pressure-detected-via-gene-based-association-analysis
#3
Huan Zhang, Xing-Bo Mo, Tan Xu, Xiao-Qing Bu, Shu-Feng Lei, Yong-Hong Zhang
Hypertension is a common disorder and one of the most important risk factors for cardiovascular diseases. The aim of this study was to identify more novel genes for blood pressure. Based on the publically available SNP-based P values of a meta-analysis of genome-wide association studies, we performed an initial gene-based association study in a total of 69,395 individuals. To find supplementary evidence to support the importance of the identified genes, we performed GRAIL (gene relationships among implicated loci) analysis, protein-protein interaction analysis, functional annotation clustering analysis, coronary artery disease association analysis, and other bioinformatics analyses...
June 2015: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/24981077/pleiotropic-genes-for-metabolic-syndrome-and-inflammation
#4
Aldi T Kraja, Daniel I Chasman, Kari E North, Alexander P Reiner, Lisa R Yanek, Tuomas O Kilpeläinen, Jennifer A Smith, Abbas Dehghan, Josée Dupuis, Andrew D Johnson, Mary F Feitosa, Fasil Tekola-Ayele, Audrey Y Chu, Ilja M Nolte, Zari Dastani, Andrew Morris, Sarah A Pendergrass, Yan V Sun, Marylyn D Ritchie, Ahmad Vaez, Honghuang Lin, Symen Ligthart, Letizia Marullo, Rebecca Rohde, Yaming Shao, Mark A Ziegler, Hae Kyung Im, Renate B Schnabel, Torben Jørgensen, Marit E Jørgensen, Torben Hansen, Oluf Pedersen, Ronald P Stolk, Harold Snieder, Albert Hofman, Andre G Uitterlinden, Oscar H Franco, M Arfan Ikram, J Brent Richards, Charles Rotimi, James G Wilson, Leslie Lange, Santhi K Ganesh, Mike Nalls, Laura J Rasmussen-Torvik, James S Pankow, Josef Coresh, Weihong Tang, W H Linda Kao, Eric Boerwinkle, Alanna C Morrison, Paul M Ridker, Diane M Becker, Jerome I Rotter, Sharon L R Kardia, Ruth J F Loos, Martin G Larson, Yi-Hsiang Hsu, Michael A Province, Russell Tracy, Benjamin F Voight, Dhananjay Vaidya, Christopher J O'Donnell, Emelia J Benjamin, Behrooz Z Alizadeh, Inga Prokopenko, James B Meigs, Ingrid B Borecki
Metabolic syndrome (MetS) has become a health and financial burden worldwide. The MetS definition captures clustering of risk factors that predict higher risk for diabetes mellitus and cardiovascular disease. Our study hypothesis is that additional to genes influencing individual MetS risk factors, genetic variants exist that influence MetS and inflammatory markers forming a predisposing MetS genetic network. To test this hypothesis a staged approach was undertaken. (a) We analyzed 17 metabolic and inflammatory traits in more than 85,500 participants from 14 large epidemiological studies within the Cross Consortia Pleiotropy Group...
August 2014: Molecular Genetics and Metabolism
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