Brendan Bulik-Sullivan

发表

Mixed Models for Meta-Analysis and Sequencing

Brendan Bulik-Sullivan, B. Bulik-Sullivan, 2015, bioRxiv.

An Atlas of Genetic Correlations across Human Diseases and Traits

Alkes L. Price, Alexander Gusev, Benjamin M. Neale, 2015 .

Genetic risk for autism spectrum disorders and neuropsychiatric variation in the general population

Jakob Grove, Stephan Ripke, Preben Bo Mortensen, 2015, Nature Genetics.

Partitioning heritability by functional category using GWAS summary statistics

Han Xu, Stephan Ripke, Alkes L. Price, 2015, bioRxiv.

Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Wei Cheng, Jianxin Shi, Elvira Bramon, 2016, Nature Genetics.

LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

Tom R. Gaunt, Jie Zheng, Alkes L. Price, 2016 .

Prioritization of Genetic Variants in the microRNA Regulome as Functional Candidates in Genome-Wide Association Studies

Praveen Sethupathy, Sara R. Selitsky, Brendan Bulik-Sullivan, 2013, Human mutation.

Relationship between LD Score and Haseman-Elston Regression

Brendan Bulik-Sullivan, B. Bulik-Sullivan, 2015, bioRxiv.

Quantifying the Genetic Correlation between Multiple Cancer Types

Harvey Risch, Peter Kraft, Benjamin Neale, 2017, Cancer Epidemiology, Biomarkers & Prevention.

Functional Architectures of Local and Distal Regulation of Gene Expression in Multiple Human Tissues.

Alexander Gusev, Gaurav Bhatia, Fred A Wright, 2017, American journal of human genetics.

Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium

Benjamin M. Neale, Felix R. Day, Nick Patterson, 2015 .

Significant Locus and Metabolic Genetic Correlations Revealed in Genome-Wide Association Study of Anorexia Nervosa.

Raymond Walters, Stephan Ripke, Gerome Breen, 2017, The American journal of psychiatry.

Supplementary Materials for Deep learning using tumor HLA peptide mass spectrometry datasets improves neoantigen identification

Michele A. Busby, Roman Yelensky, Brendan Bulik-Sullivan, 2018 .