A powerful fine-mapping method for transcriptome-wide association studies

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

Biological insights from 108 schizophrenia-associated genetic loci

(2014)   NATURE

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