Author

Argyro J. Bizaki-Vallaskangas

Tampere UniversityORCID 0000-0001-9484-0913Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 3

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Approach:Bayesian inference· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Joel T RämöiD· 3 shared Johannes KettuneniD· 3 shared Antti A. MäkitieiD· 2 shared Elmo SaarentausiD· 2 shared Jaakko A. KaprioiD· 2 shared Kristi KrebsiD· 2 shared Lili A. MilaniiD· 2 shared Aarno DietziD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Joel T RämöORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineJournal of the Association for Research in OtolaryngologyPeer-reviewedMay 26, 2026

Discovering age- and sex-specific genetic risk factors in sensorineural hearing loss: genome-wide evidence from large-scale biobank studies

Argyro J. Bizaki-Vallaskangas, Eeva Sliz, Tuuli Lankinen…·Johannes Kettunen

This study identifies 32 new SNHL risk loci through genome-wide meta-analyses of 531,059 individuals, including age- and sex-specific differences.

DOI 10.1007/s10162-026-01054-y

humanGWAS summary statistics

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintNov 28, 2025

Integrating GWAS meta-analysis with human brain cell mapping implicates the amygdala and the midbrain in the pathogenesis of tinnitus

Nick M. A. Schubert, Shuyang Yao, Maryam Kazemi Naeini…·Frances M. K. Williams

The paper integrates GWAS meta-analysis with human brain cell mapping to identify genetic loci and cell types involved in tinnitus, implicating the amygdala and midbrain.

2 citations

humanGWAS summary statistics

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Genetic & Genomic MedicinemedRxivPreprintMar 3, 2022

✦ In-depth digest

FinnGen: Unique genetic insights from combining isolated population and national health register data

Mitja Kurki, Juha M Karjalainen, Priit Palta…·Marianna Niemi

Finnish-enriched low-frequency variants, often coding, underlie many GWAS signals across 1,932 register endpoints in 218,792 Finns; a 15-disease meta-analysis with Estonian and UK biobanks adds 30 unreported associations.

404 citations

humanelectronic health records

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