Author

Sarah A Gagliano

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

Signature Assays, Organisms & Methods

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Research Focus:variant effect prediction· 2 Approach:Bayesian inference· 1 Assay:DNA methylation· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Jo Knight· 2 shared Michael E Weale· 2 shared Michael R Barnes· 2 shared Reena Ravji· 1 shared

Activity by Year

2013-2015 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Jo Knight

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2 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedAug 24, 2015

Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk Variants

Sarah A Gagliano, Reena Ravji, Michael R Barnes…·Jo Knight

This paper compares statistical learning methods using functional annotations to prioritize risk variants in genome-wide association studies, finding similar predictive accuracies across methods but no significant improvement over existing approaches.

DOI 10.1038/srep13373

humanGWAS summary statistics

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BioinformaticsbioRxivDec 4, 2013

A Bayesian Method to Incorporate Hundreds of Functional Characteristics with Association Evidence to Improve Variant Prioritization

Sarah A Gagliano, Michael R Barnes, Michael E Weale, Jo Knight

This paper introduces a Bayesian method that integrates functional genomic data with GWAS results to prioritize causal SNPs, showing improved identification of novel hits in psoriasis GWAS.

DOI 10.1371/journal.pone.0098122

DNA methylationwhole-genome sequencing

𝕏 PostBluesky