Nontrivial Replication of Loci Detected by Multi-Trait Methods
暂无分享,去创建一个
Alexander K. Grishenko | Y. Pawitan | C. Haley | P. Joshi | James F. Wilson | Y. Aulchenko | Y. Tsepilov | S. Sharapov | M. Shirali | Xia Shen | Zheng Ning | Xiao Feng | Zhipeng Wang
[1] Judong Shen,et al. Multi-trait analysis of rare-variant association summary statistics using MTAR , 2020, Nature Communications.
[2] O. Andreassen,et al. A global overview of pleiotropy and genetic architecture in complex traits , 2019, Nature Genetics.
[3] Stuart J. Ritchie,et al. Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits , 2019, Nature Human Behaviour.
[4] Till F. M. Andlauer,et al. Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia , 2018, bioRxiv.
[5] P. Visscher,et al. Multi-trait analysis of genome-wide association summary statistics using MTAG , 2017, Nature Genetics.
[6] Igor Rudan,et al. Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation , 2017, Nature Communications.
[7] P. Visscher,et al. 10 Years of GWAS Discovery: Biology, Function, and Translation. , 2017, American journal of human genetics.
[8] Lisa Bastarache,et al. Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants , 2017, Science Translational Medicine.
[9] Xiaofeng Zhu,et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations , 2017, PLoS genetics.
[10] Heather F. Porter,et al. Multivariate simulation framework reveals performance of multi-trait GWAS methods , 2017, Scientific Reports.
[11] Xiaofeng Zhu,et al. Multivariate Analysis of Anthropometric Traits Using Summary Statistics of Genome-Wide Association Studies from GIANT Consortium , 2016, PloS one.
[12] James R. Staley,et al. PhenoScanner: a database of human genotype–phenotype associations , 2016, Bioinform..
[13] Wei Pan,et al. An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics , 2015, Genetic epidemiology.
[14] Ross M. Fraser,et al. Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.
[15] Xiaofeng Zhu,et al. Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension. , 2015, American journal of human genetics.
[16] Ross M. Fraser,et al. Defining the role of common variation in the genomic and biological architecture of adult human height , 2014, Nature Genetics.
[17] P. Kraft,et al. Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies. , 2013, American journal of human genetics.
[18] M. Stephens. A Unified Framework for Association Analysis with Multiple Related Phenotypes , 2013, PloS one.
[19] S. Purcell,et al. Pleiotropy in complex traits: challenges and strategies , 2013, Nature Reviews Genetics.
[20] Ross M. Fraser,et al. Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits , 2013, PLoS genetics.
[21] Conor V. Dolan,et al. TATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies , 2013, PLoS genetics.
[22] P. O’Reilly,et al. MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS , 2012, PloS one.
[23] Kasper Lage,et al. Pervasive Sharing of Genetic Effects in Autoimmune Disease , 2011, PLoS genetics.
[24] D. Croteau-Chonka,et al. New genetic loci link adipose and insulin biology to body fat distribution , 2015 .
[25] Manuel A. R. Ferreira,et al. Genetics and population analysis A multivariate test of association , 2009 .