Mohammad Sadegh Khorrami1,2,3, Fatemeh Sadabadi3, Alireza Pasdar1, Hamide Safarian-Bana3, Forouzan Amerizadeh1,2, Habibollah Esmaeily3,4, Mohsen Moohebati3, Alireza Heidari-Bakavoli3, Gordon Ferns5, Majid Ghayour-Mobarhan3, Amir Avan1,2,3. 1. Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. 2. Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. 3. Metabolic Syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran. 4. Department of Epidemiology and Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. 5. Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex, UK.
Abstract
Background: Cardiovascular disease is one of the most common causes of morbidity and mortality worldwide. The Proline and Serine Rich Coiled-Coil 1 gene in 1p13.3 locus has been reported to be associated with low density lipoprotein cholesterol (LDL-C) and coronary artery disease (CAD). The objective of this study was to investigate the association between the rs599839 polymorphism of the Proline and Serine Rich Coiled-Coil 1 (PSRC1) gene with CVD outcomes in a population sample recruited as part of the Mashhad-Stroke and Heart-Atherosclerotic-Disorders (MASHAD) cohort. Methods: Five hundred and nine individuals who had an average follow-up period of 10 years were enrolled as part of the MASHAD cohort. DNA was extracted and genotyped using the TaqMan-real-time-PCR based method. Results: The study found individuals with GA/GG genotypes were at a higher risk of CVDs (OR= 4.7; 95% CI, 2.5-8.7; p< 0.001) in comparison to those with AA genotype; however, the result was not significant for GG genotype data. Conclusion: The results suggest that the GA/GG genotypes of the PSRC1gene locus were at increased risk of CVD in a representative population-based cohort, demonstrating further functional analysis to discover the value of emerging marker as a risk stratification biomarker to recognize high risk cases.
Background: Cardiovascular disease is one of the most common causes of morbidity and mortality worldwide. The Proline and Serine Rich Coiled-Coil 1 gene in 1p13.3 locus has been reported to be associated with low density lipoprotein cholesterol (LDL-C) and coronary artery disease (CAD). The objective of this study was to investigate the association between the rs599839 polymorphism of the Proline and Serine Rich Coiled-Coil 1 (PSRC1) gene with CVD outcomes in a population sample recruited as part of the Mashhad-Stroke and Heart-Atherosclerotic-Disorders (MASHAD) cohort. Methods: Five hundred and nine individuals who had an average follow-up period of 10 years were enrolled as part of the MASHAD cohort. DNA was extracted and genotyped using the TaqMan-real-time-PCR based method. Results: The study found individuals with GA/GG genotypes were at a higher risk of CVDs (OR= 4.7; 95% CI, 2.5-8.7; p< 0.001) in comparison to those with AA genotype; however, the result was not significant for GG genotype data. Conclusion: The results suggest that the GA/GG genotypes of the PSRC1gene locus were at increased risk of CVD in a representative population-based cohort, demonstrating further functional analysis to discover the value of emerging marker as a risk stratification biomarker to recognize high risk cases.
Authors: Kiran Musunuru; Alanna Strong; Maria Frank-Kamenetsky; Noemi E Lee; Tim Ahfeldt; Katherine V Sachs; Xiaoyu Li; Hui Li; Nicolas Kuperwasser; Vera M Ruda; James P Pirruccello; Brian Muchmore; Ludmila Prokunina-Olsson; Jennifer L Hall; Eric E Schadt; Carlos R Morales; Sissel Lund-Katz; Michael C Phillips; Jamie Wong; William Cantley; Timothy Racie; Kenechi G Ejebe; Marju Orho-Melander; Olle Melander; Victor Koteliansky; Kevin Fitzgerald; Ronald M Krauss; Chad A Cowan; Sekar Kathiresan; Daniel J Rader Journal: Nature Date: 2010-08-05 Impact factor: 49.962
Authors: Manjinder S Sandhu; Dawn M Waterworth; Sally L Debenham; Eleanor Wheeler; Konstantinos Papadakis; Jing Hua Zhao; Kijoung Song; Xin Yuan; Toby Johnson; Sofie Ashford; Michael Inouye; Robert Luben; Matthew Sims; David Hadley; Wendy McArdle; Philip Barter; Y Antero Kesäniemi; Robert W Mahley; Ruth McPherson; Scott M Grundy; Sheila A Bingham; Kay-Tee Khaw; Ruth J F Loos; Gérard Waeber; Inês Barroso; David P Strachan; Panagiotis Deloukas; Peter Vollenweider; Nicholas J Wareham; Vincent Mooser Journal: Lancet Date: 2008-02-09 Impact factor: 79.321