Author
Robert Ye
Broad InstituteORCID 0009-0007-4947-9672Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2024-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 45 mutual co-author linksMutual co-authors in cluster
6 papers
Recent·Most cited
- Genetic & Genomic MedicinemedRxivPreprintDOI 10.64898/2026.09.30.26364416
- GeneticsbioRxivPreprint✦ In-depth digest
Analysis of Rare Coding Variation Identifies New Genetic Contributors to Schizophrenia
Julia Sealock, Connor Dowd, Calwing Liao…·Akena Dickens
Ultra-rare damaging coding variants in 87,959 schizophrenia cases and 150,587 controls implicate 40 genes (16 exome-wide, 24 at 5% FDR), half overlapping autism, developmental delay or bipolar genes.
1 citation - Genetic & Genomic MedicinemedRxivPreprint
A 515,579-Genome Reference Panel Improves Rare-Variant Imputation Across Multiple Underrepresented Populations
Franjo Ivankovic, Arthur Ko, Mary Morgan Taylor…·Lee Lichtenstein
The paper presents a large reference panel of 515,579 genomes to improve rare-variant imputation across underrepresented populations, enhancing accuracy for variants with frequencies as low as 0.002%.
DOI 10.64898/2026.08.25.26361247 - GenomicsbioRxivPreprint
A blended genome and exome sequencing method captures genetic variation in an unbiased, high-quality, and cost-effective manner
Toni A. Boltz, Benjamin B. Chu, Calwing Liao…·Alicia R. Martin
The paper introduces BGE, a sequencing method that combines low-pass whole genome and deep whole exome data, showing high accuracy and cost-effectiveness for genetic variant discovery.
12 citations - GeneticsbioRxivPreprint
The landscape of gene loss and missense variation across the mammalian tree informs on gene essentiality
Calwing Liao, Robert Ye, Franjo Ivankovic…·Benjamin M. Neale
This paper introduces GISMO and GISMO-mis metrics to quantify gene loss and missense variation across mammals, identifying essential genes and improving gene-disease associations.
- GenomicsbioRxivPreprint
The landscape of regional missense mutational intolerance quantified from 730,947 exomes
Lily Wang, Katherine R. Chao, Ruchit Panchal…·Kaitlin E. Samocha
The paper quantifies regional missense mutational intolerance using 730,947 exomes to identify constrained gene regions and improve variant interpretation.
13 citations