Author

Meredith Curtis

University of TorontoORCID 0000-0001-8804-0370Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:whole-exome sequencing· 3 Organism:human· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1

Frequent Co-Authors

Bushra HaqueiD· 2 shared Gregory CostainiD· 2 shared Michelle M. MorrowiD· 2 shared Susan WalkeriD· 2 shared Thomas NalpathamkalamiD· 2 shared Amy Pan· 1 shared Anne S. BassettiD· 1 shared Bahareh A. MojaradiD· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetic & Genomic Medicine

Bushra HaqueORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetic & Genomic MedicineJournal of Medical GeneticsPeer-reviewedMar 20, 2024

A comparative medical genomics approach may facilitate the interpretation of rare missense variation

Bushra Haque, George F. Guirguis, Meredith Curtis…·Gregory Costain

The paper compares pathogenicity features of missense variants in non-human livestock to human genomic data, finding higher odds of pathogenic classification in cross-species variants.

5 citations

non-human primatewhole-exome sequencing

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintMar 11, 2024

Leveraging cancer mutation data to predict the pathogenicity of germline missense variants

Bushra Haque, David Cheerie, Amy Pan…·Gregory Costain

This study uses cancer mutation data and machine learning to predict the pathogenicity of germline missense variants, showing strong performance in identifying disease-causing variants.

DOI 10.1101/2024.03.11.24304106

humanwhole-exome sequencing

𝕏 PostBluesky

GenomicsFrontiers in GeneticsPeer-reviewedSep 15, 2020

Genes and pathways implicated in tetralogy of Fallot revealed by ultra-rare variant burden analysis in 231 genome sequences

Roozbeh Manshaei, Daniele Merico, Miriam S. Reuter…·Anne S. Bassett

This paper identifies ultra-rare variants in NOTCH1 and FLT4 associated with tetralogy of Fallot using burden analysis of genome sequences from 231 individuals.

36 citations

humanwhole-exome sequencing

𝕏 PostBluesky