Author

Rieko Sakurai

RIKEN Center for Advanced Intelligence ProjectORCID 0000-0001-6472-2801Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:GWAS / association mapping· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Akira NaritaiD· 2 shared Gen TamiyaiD· 2 shared Akimitsu MiyakeiD· 1 shared Aoi NodaiD· 1 shared Atsushi HozawaiD· 1 shared Chinatsu Gocho· 1 shared Chizuru Yamanaka· 1 shared Fumihiko UenoiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Akira NaritaORCID

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2 papers

Recent·Most cited

Palette polygenic risk score framework improves risk prediction by capturing clinical heterogeneity of type 2 diabetes

Akimitsu Miyake, Hayato Tanabe, Akira Narita, Takafumi Ojima, Tomoki Kyosaka, Chinatsu Gocho, Rieko Sakurai, Jun Takayama, Hajime Yamakage, Kenichi Tanaka, Junichiro James Kazama, Noriko Satoh‐Asahara, Michio Shimabukuro, Gen Tamiya

The paper introduces a polygenic risk score framework that improves type 2 diabetes risk prediction by accounting for clinical subtypes and pathway-specific contributions.

medRxiv · Jan 13, 2026 · PreprintGenetic & Genomic Medicine

Clustering by phenotype and genome-wide association study in autism

Akira Narita, Masato Nagai, Satoshi Mizuno, Soichi Ogishima, Gen Tamiya, Masao Ueki, Rieko Sakurai, Satoshi Makino, Taku Obara, Mami Ishikuro, Chizuru Yamanaka, Hiroko Matsubara, Yasutaka Kuniyoshi, Keiko Murakami, Fumihiko Ueno, , Shinichi Kuriyama

The paper uses clustering and genome-wide association studies to identify subgroups in autism spectrum disorder and finds significant loci associated with these subgroups.

Translational Psychiatry · Aug 17, 2020Peer-reviewedNeuroscience