标题
A powerful fine-mapping method for transcriptome-wide association studies
作者
关键词
-
出版物
HUMAN GENETICS
Volume 139, Issue 2, Pages 199-213
出版商
Springer Science and Business Media LLC
发表日期
2019-12-17
DOI
10.1007/s00439-019-02098-2
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Integrating predicted transcriptome from multiple tissues improves association detection
- (2019) Alvaro N. Barbeira et al. PLoS Genetics
- Probabilistic fine-mapping of transcriptome-wide association studies
- (2019) Nicholas Mancuso et al. NATURE GENETICS
- Opportunities and challenges for transcriptome-wide association studies
- (2019) Michael Wainberg et al. NATURE GENETICS
- A statistical framework for cross-tissue transcriptome-wide association analysis
- (2019) Yiming Hu et al. NATURE GENETICS
- Some statistical consideration in transcriptome‐wide association studies
- (2019) Haoran Xue et al. GENETIC EPIDEMIOLOGY
- Integrating eQTL data with GWAS summary statistics in pathway-based analysis with application to schizophrenia
- (2018) Chong Wu et al. GENETIC EPIDEMIOLOGY
- Transcriptome-wide association studies accounting for colocalization using Egger regression
- (2018) Richard Barfield et al. GENETIC EPIDEMIOLOGY
- Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
- (2018) Antonio F. Pardiñas et al. NATURE GENETICS
- From genome-wide associations to candidate causal variants by statistical fine-mapping
- (2018) Daniel J. Schaid et al. NATURE REVIEWS GENETICS
- Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
- (2018) Alvaro N. Barbeira et al. Nature Communications
- CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information
- (2018) Can Yang et al. BIOINFORMATICS
- A Powerful Framework for Integrating eQTL and GWAS Summary Data
- (2017) Zhiyuan Xu et al. GENETICS
- Genetic effects on gene expression across human tissues
- (2017) François Aguet et al. NATURE
- Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
- (2017) Zhiqiang Li et al. NATURE GENETICS
- A Powerful Framework for Integrating eQTL and GWAS Summary Data
- (2017) Zhiyuan Xu et al. GENETICS
- Advances in the genetics of schizophrenia: toward a network and pathway view for drug discovery
- (2016) David A. Collier et al. Annals of the New York Academy of Sciences
- Schizophrenia risk from complex variation of complement component 4
- (2016) Aswin Sekar et al. NATURE
- Integrative approaches for large-scale transcriptome-wide association studies
- (2016) Alexander Gusev et al. NATURE GENETICS
- Gene expression elucidates functional impact of polygenic risk for schizophrenia
- (2016) Menachem Fromer et al. NATURE NEUROSCIENCE
- The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)
- (2016) Jacqueline MacArthur et al. NUCLEIC ACIDS RESEARCH
- Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
- (2015) S. Burgess et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
- (2015) Bjarni J. Vilhjálmsson et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Leveraging Functional-Annotation Data in Trans-ethnic Fine-Mapping Studies
- (2015) Gleb Kichaev et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Genome-wide association study of schizophrenia in Ashkenazi Jews
- (2015) Fernando S. Goes et al. AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS
- Adaptive gene- and pathway-trait association testing with GWAS summary statistics
- (2015) Il-Youp Kwak et al. BIOINFORMATICS
- Strategies for fine-mapping complex traits
- (2015) Sarah L. Spain et al. HUMAN MOLECULAR GENETICS
- A global reference for human genetic variation
- (2015) Richard A. Gibbs et al. NATURE
- A gene-based association method for mapping traits using reference transcriptome data
- (2015) Eric R Gamazon et al. NATURE GENETICS
- Fast and accurate imputation of summary statistics enhances evidence of functional enrichment
- (2014) Bogdan Pasaniuc et al. BIOINFORMATICS
- A Powerful and Adaptive Association Test for Rare Variants
- (2014) Wei Pan et al. GENETICS
- Heritability and genomics of gene expression in peripheral blood
- (2014) Fred A Wright et al. NATURE GENETICS
- Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
- (2013) Matti Pirinen et al. Annals of Applied Statistics
- Hyperglycemia and a Common Variant of GCKR Are Associated With the Levels of Eight Amino Acids in 9,369 Finnish Men
- (2012) A. Stancakova et al. DIABETES
- Likelihood-Based Selection and Sharp Parameter Estimation
- (2012) Xiaotong Shen et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
- (2012) Jian Yang et al. NATURE GENETICS
- Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies
- (2011) Buhm Han et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Nearly unbiased variable selection under minimax concave penalty
- (2010) Cun-Hui Zhang ANNALS OF STATISTICS
- Schizophrenia: A Concise Overview of Incidence, Prevalence, and Mortality
- (2008) J. McGrath et al. EPIDEMIOLOGIC REVIEWS
- Cohort Profile: The Cardiovascular Risk in Young Finns Study
- (2008) O. T Raitakari et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Strong association of de novo copy number mutations with sporadic schizophrenia
- (2008) Bin Xu et al. NATURE GENETICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started