Author

Isabel Kerrebijn

Mount Sinai HospitalORCID 0000-0001-8894-250XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Caleb JiiD· 2 shared Keon ArbabiiD· 2 shared Michael WainbergiD· 2 shared Árni J. Geirsson· 1 shared Arnór VíkingssoniD· 1 shared Ástrós SkúladóttiriD· 1 shared Bente GlintborgiD· 1 shared Bitten AagaardiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Caleb JiORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineNature MedicinePeer-reviewedJul 28, 2026

The genetic architecture of fibromyalgia across 2.5 million individuals

Isabel Kerrebijn, Gyða Björnsdóttir, Keon Arbabi…·Michael Wainberg

This study identifies 26 risk loci for fibromyalgia through a genome-wide association analysis of 2.5 million individuals, revealing genetic links to neural functions and chronic pain disorders.

9 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintSep 23, 2025

Benchmarking genome-wide association study causal gene prioritization for drug discovery

Caleb Ji, Isabel Kerrebijn, Keon Arbabi…·Michael Wainberg

This study benchmarks GWAS causal gene prioritization methods for drug discovery using 445 diseases, finding the nearest gene method performs as well as more complex approaches.

DOI 10.1101/2025.09.23.25336370

GWAS summary statisticsstatistical model

𝕏 PostBluesky