snps and other features as they predispose to complex disease genome-wide predictive analysis of a quantitative phenotype for hypertension单核苷酸多态性和其他特性使复杂的疾病全基因组预测分析的定量表型高血压.pdfVIP

SNPs and Other Features as They Predispose to Complex Disease: Genome-Wide Predictive Analysis of a Quantitative Phenotype for Hypertension 1,2 3,4 3,5 2 Joong-Ho Won , Georg Ehret , Aravinda Chakravarti , Richard A. Olshen * 1VA Cooperative Studies Program, Mountain View, California, United States of America, 2 Division of Biostatistics, Stanford University, Stanford, California, United States of America, 3 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America, 4 Division of Cardiology, Geneva University Hospital, Geneva, Switzerland, 5 Department of Epidemiology and Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America Abstract Though recently they have fallen into some disrepute, genome-wide association studies (GWAS) have been formulated and applied to understanding essential hypertension. The principal goal here is to use data gathered in a GWAS to gauge the extent to which SNPs and their interactions with other features can be combined to predict mean arterial blood pressure (MAP) in 3138 pre-menopausal and naturally post-menopausal white women. More precisely, we quantify the extent to which data as described permit prediction of MAP beyond what is possible from traditional risk factors such as blood cholesterol levels and glucose levels. Of course, these traditional risk factors are genetic, though typically not explicitly so. In all, there were 44 such risk factors/clinical variables measured and 377,790 single nucleotide polymorphisms (SNPs) genotyped. Data for women we studied are from first visit measurements taken as part of the Atherosclerotic Risk in Com