12 混合线性模型关联分析 GCTA: a tool for genome-wide complex trait analysis 2011 被引量 下载、安装软件 先从下载开始吧,进入官网,找到download,如图 找到适合自己的版本下载吧。解压完是这样的。 接下来就开始测试示例数据喽! 根据所有的常染色体snp计算遗传关系矩阵(GRM) 所需要的文件为上图中的bim,fam,be...
Genome-wide Complex Trait Analysis(GCTA)-全基因组复杂性状分析 GCTA(全基因组复杂性状分析)工具开发目的是针对复杂性状的全基因组关联分析,评估SNP解释的表型方差所占的比例(该网站地址:http://cnsgenomics.com/software/gcta/)。目前GCTA工具可实现以下功能: 1 评估全基因组SNP的亲缘关系(遗传关系) 2 评估全基因...
Genome-wide Complex Trait Analysis (GCTA) estimates of genetic variance compared to twin study estimates of heritability.Maciej, TrzaskowskiThalia, C. EleyOliver, S. P. DavisSophia, J. DohertyKen, B. HanscombeEmma, L. MeaburnClaire, M. A. Haworth...
(rg = 0.75,P = 6.84 × 10−62). Cross-trait analysis identified 38 genome-wide significant loci, including 7 novel shared loci. Computational analysis showed that shared genetic loci are enriched in immune/inflammatory systems and tissues with epithelium cells. Our work ...
Jian Yang S, Hong L, Goddard ME, Visscher PM. Gcta: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88(1):76–82. CentralJian Yang S, Hong L, Goddard ME, Visscher PM. Gcta: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88(1):76-...
trait meta-analyses (Table3). Given this premise (that is,PGWAS-data > 5 × 10−8 < Pmeta-analysis), the observation that some of the identified loci are known for AD or GIT traits (from other studies) provides support for our cross-trait analysis findings. Specifically,...
GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88(1):76-82. doi:10.1016/j.ajhg.2010.11.011PubMedGoogle Scholar 35. Bromet E, Andrade LH, Hwang I, et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC Med. 2011;...
Conclusion: The joint meta-analysis is an attractive approach to discover markers which may have been missed by initial GWASs focusing on marginal marker-trait associations. 展开 关键词: Gene-environment interaction Genome-wide scan Meta-analysis Case-control association analysis Complex disease ...
Whole Genome Sequence-Based Analysis of a Model Complex Trait, High Density Lipoprotein Cholesterol We describe initial steps for interrogating whole genome sequence (WGS) data to characterize the genetic architecture of a complex trait, such as high dens... AC Morrison,A Voorman,AD Johnson,......
(P<5 × 10−8) were used for disease variation estimating of the 26 NSCLP risk loci. The proportion of variance in NSCLP risk was examined via the residual maximum likelihood method in the program genome-wide complex trait analysis and estimated assuming a disease prevalence of 0.001 (1 ...