Author

David Schlesinger

Mendelics

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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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Ana Cristina Victorino KrepischiiD· 1 shared Angela Maria Vianna‐MorganteiD· 1 shared Carla RosenbergiD· 1 shared Claudia Danielli Pereira Bertolacini· 1 shared Cleandra GregórioiD· 1 shared Danilo Dias Avancini VianaiD· 1 shared Danilo Oliveira ImparatoiD· 1 shared Darine VillelaiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Ana Cristina Victorino KrepischiORCID

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Author profile →

3 papers

Recent·Most cited

GLOF: A large-scale expert-curated benchmark dataset of gain-of-function and loss-of-function missense variants

Victor Maricato, David Schlesinger, Pedro Moura

The paper introduces GLOF, a large-scale expert-curated dataset of missense variants classified as loss-of-function, gain-of-function, or neutral, to benchmark computational methods for predicting variant functional mechanisms.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics

A Breast Cancer Polygenic Risk Score Validation in 15,490 Brazilians using Exome Sequencing

Flávia E. Rius, Rodrigo Santa Cruz Guindalini, Danilo Dias Avancini Viana, Júlia Salomão, Laila Gallo, Renata Freitas, Claudia Danielli Pereira Bertolacini, Lucas Mitsuo Taniguti, Danilo Oliveira Imparato, Flávia Antunes, Gabriel Gomes de Sousa, Renan Weege Achjian, Eric Fukuyama, Cleandra Gregório, Iuri Ventura, , David Schlesinger

The paper validates a breast cancer polygenic risk score in a Brazilian cohort using exome sequencing, finding PRS3820 performs best across different ancestry groups.

Diagnostics · Apr 25, 2025Peer-reviewedGenetic & Genomic Medicine

Chromosomal microarray analyses from 5,778 patients with neurodevelopmental disorders and congenital anomalies in Brazil

Ana Cristina Victorino Krepischi, Darine Villela, Silvia Souza da Costa, Patricia C. Mazzonetto, Juliana da Silveira Schauren, Michele Patricia Migliavacca, Fernanda Milanezi, Juliana Gomes dos Santos, Gustavo Guida, Rodrigo Guarischi‐Sousa, Gustavo Campana, Fernando Kok, David Schlesinger, João Paulo Kitajima, Francine Campagnari, , Carla Rosenberg

This study analyzes chromosomal microarray data from 5,778 Brazilian patients with neurodevelopmental disorders and congenital anomalies to assess genetic bases and evaluate cost-effectiveness of variant analysis.

Scientific Reports · Sep 7, 2022Peer-reviewedGenetic & Genomic Medicine