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Implications of discoveries from genome-wide association studies in current cardiovascular practice

期刊

WORLD JOURNAL OF CARDIOLOGY
卷 3, 期 7, 页码 230-247

出版社

BAISHIDENG PUBLISHING GROUP INC
DOI: 10.4330/wjc.v3.i7.230

关键词

Genome-wide association studies; Cardiovascular disease; Lipids; Blood pressure

资金

  1. A Wellcome Trust Capacity Strengthening Strategic Award
  2. Public Health Foundation of India and a consortium of UK universities
  3. National Heart Lung and Blood Institute, United States of America [HHSN286200900026C]
  4. National Institute of Health, United States of America [1D43HD065249]

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Genome-wide association studies (GWAS) have identified several genetic variants associated with coronary heart disease (CHD), and variations in plasma lipoproteins and blood pressure (BP). Loci corresponding to CDKN2A/CDKN2B/ANRIL, MTHFD1L, CELSR2, PSRC1 and SORT1 genes have been associated with CHD, and TMEM57, DOCK7, CELSR2, APOB, ABCG5, HMGCR, TRIB1, FADS2/S3, LDLR, NCAN and TOMM40-APOE with total cholesterol. Similarly, CELSR2-PSRC1-SORT1, PCSK9, APOB, HMGCR, NCAN-CILP2-PBX4, LDLR, TOMM40-APOE, and APOC1-APOE are associated with variations in low-density lipoprotein cholesterol levels. Altogether, forty, forty three and twenty loci have been associated with high-density lipoprotein cholesterol, triglycerides and BP phenotypes, respectively. Some of these identified loci are common for all the traits, some do not map to functional genes, and some are located in genes that encode for proteins not previously known to be involved in the biological pathway of the trait. GWAS have been successful at identifying new and unexpected genetic loci common to diseases and traits, thus rapidly providing key novel insights into disease biology. Since genotype information is fixed, with minimum biological variability, it is useful in early life risk prediction. However, these variants explain only a small proportion of the observed variance of these traits. Therefore, the utility of genetic determinants in assessing risk at later stages of life has limited immediate clinical impact. The future application of genetic screening will be in identifying risk groups early in life to direct targeted preventive measures. (C) 2011 Baishideng. All rights reserved.

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