Author

Chiaki Nakamori

Taisho Pharmaceutical (Japan)

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· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Tore ErikssoniD· 2 shared Kazunari IwamotoiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersGenetic & Genomic Medicine

Tore ErikssonORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 25, 2025

Using deep learning to improve genetic studies of osteoporosis

Tore Eriksson, Chiaki Nakamori

This study evaluates deep learning's role in improving quantitative phenotypes for GWAS in osteoporosis using bone X-ray images and UK Biobank data, finding limited improvements over traditional methods.

DOI 10.1101/2025.09.25.25336686

humanimaging

𝕏 PostBluesky

GeneticsbioRxivPreprintJul 18, 2023

Genetic associations of dimensional autistic phenotypes

Tore Eriksson, Chiaki Nakamori, Kazunari Iwamoto

The paper uses latent representations of psychometric tests to detect genetic associations with dimensional autistic phenotypes, finding significant links in the domain of insistence on routine.

DOI 10.1101/2023.07.18.549458

GWAS summary statisticsstatistical model

𝕏 PostBluesky