Author

Benjamin Neale

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Assay:bulk RNA-seq· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Alexander GuseviD· 2 shared Bogdan Pasaniuc· 2 shared Alexias SafiiD· 1 shared Alkes L Price· 1 shared Alkes Price· 1 shared Barbara Stranger· 1 shared Beate St. PourcainiD· 1 shared Benjamin ElsworthiD· 1 shared

Activity by Year

2015-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersGenomics

Alexander GusevORCID

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Author profile →

4 papers

Recent·Most cited

Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights

Alexander Gusev, Nick Mancuso, Hilary K Finucane, Yakir Reshef, Lingyun Song, Alexias Safi, Edwin Oh, SCZ Working Group of the Psychiatric Genomics Cons, Steven McCaroll, Benjamin Neale, Roel Ophoff, Michael C O'Donovan, Nicholas Katsanis, Gregory E Crawford, Patrick F Sullivan, , Alkes L Price

This study connects schizophrenia GWAS findings to specific genes, tissues, and regulatory mechanisms through transcriptome-wide and chromatin activity analyses.

Nature Genetics · Apr 9, 2018Peer-reviewedGenomics

Large-scale trans-eQTLs affect hundreds of transcripts and mediate patterns of transcriptional co-regulation

Boel Brynedal, JinMyung Choi, Towfique Raj, Robert Bjornson, Barbara Stranger, Benjamin Neale, Benjamin Voight, Chris Cotsapas

The paper identifies trans-eQTLs that affect multiple transcripts and mediate transcriptional co-regulation across populations.

bioRxiv · May 31, 2016Genetics

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

JIE ZHENG, Mesut Erzurumluoglu, Benjamin Elsworth, Laurence Howe, Philip Haycock, Gibran Hemani, Katherine Tansey, Charles Laurin, Beate St. Pourcain, Nicole Warrington, Hilary Finucane, Alkes Price, Brendan Bulik-Sullivan, Verneri Anttila, Lavinia Paternoster, , Benjamin Neale

LD Hub provides a centralized database and web interface for performing LD score regression on GWAS summary data to estimate SNP heritability and genetic correlations across traits.

bioRxiv · May 3, 2016Bioinformatics

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni Vilhjalmsson, Jian Yang, Hilary Kiyo Finucane, Alexander Gusev, Sara Lindstrom, Stephan Ripke, Giulio Genovese, Po-Ru Loh, Gaurav Bhatia, Ron Do, Tristian Hayeck, Hong-Hee Won, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study the Discovery, Sekar Kathiresan, , Nick J Patte

This paper introduces LDpred, a method that improves polygenic risk score accuracy by modeling linkage disequilibrium, showing increased R2 values in schizophrenia and multiple sclerosis datasets.

The American Journal of Human Genetics · Oct 1, 2015Peer-reviewedBioinformatics