Author

Quant Group

École Polytechnique Fédérale de Lausanne

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· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:variant effect prediction· 2 Assay:whole-exome sequencing· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ali SaadatiD· 3 shared Dylan LawlessiD· 3 shared Jacques FellayiD· 2 shared Luregn Jan SchlapbachiD· 2 shared Simon BoutryiD· 2 shared Sinisa SaviciD· 2 shared D. Sean FroeseiD· 1 shared Johannes TrückiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Ali SaadatORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Bayesian model for quantifying genomic variant evidence sufficiency in Mendelian disease

Quant Group, Ali Saadat, Shweta Pipaliya, Dylan Lawless

The paper introduces a Bayesian model to quantify the sufficiency of genomic variant evidence for Mendelian diseases, enabling consistent interpretation across institutions.

medRxiv · Jan 13, 2026 · PreprintGenetic & Genomic Medicine

PanelAppRex aggregates disease gene panels and facilitates sophisticated search

Quant Group, Simon Boutry, Ali Saadat, Sinisa Savic, Luregn Jan Schlapbach, Jacques Fellay, Dylan Lawless

PanelAppRex aggregates and standardizes disease gene panels to enable efficient search and integration into bioinformatic workflows, recovering causal genes in all benchmarked cases.

Bioinformatics Advances · Jan 1, 2026Peer-reviewedGenetic & Genomic Medicine

Quantifying prior probabilities for disease-causing variants reveals the top genetic contributors in inborn errors of immunity

Quant Group, Simon Boutry, Ali Saadat, Maarja Soomann, Johannes Trück, D. Sean Froese, Jacques Fellay, Sinisa Savic, Luregn Jan Schlapbach, Dylan Lawless

This paper introduces a statistical framework to quantify prior probabilities of disease-causing variants in inborn errors of immunity, revealing top genetic contributors and validating results in national cohorts.

medRxiv · Mar 25, 2025 · PreprintGenetic & Genomic Medicine