Author

Naoyuki Takashima

Kindai UniversityORCID 0000-0002-9593-6797Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Atsushi TakahashiiD· 2 shared Hiroaki IkezakiiD· 2 shared Hiroshi AkazawaiD· 2 shared Hiroshi Matsunaga· 2 shared Hirotaka IekiiD· 2 shared Hiroyuki MoritaiD· 2 shared Issei KomuroiD· 2 shared Kaoru ItoiD· 2 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Atsushi TakahashiORCID

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2 papers

Recent·Most cited

Transethnic meta-analysis of genome-wide association studies identifies three new loci and characterizes population-specific differences for coronary artery disease

Hiroshi Matsunaga, Kaoru Ito, Masato Akiyama, Atsushi Takahashi, Satoshi Koyama, Seitaro Nomura, Hirotaka Ieki, Kouichi Ozaki, Yoshihiro Onouchi, Saori Sakaue, Shinichiro Suna, Soichi Ogishima, Masayuki P. Yamamoto, Atsushi Hozawa, Mamoru Satoh, , Issei Komuro

This study identifies three new CAD loci through transethnic GWAS and highlights population-specific genetic differences between Japanese and European populations.

Circulation Genomic and Precision Medicine · May 29, 2020Peer-reviewedGenetics

Population-specific and transethnic genome-wide analyses reveal distinct and shared genetic risks of coronary artery disease

Satoshi Koyama, Kaoru Ito, Chikashi C. Terao, Masato Akiyama, Momoko Horikoshi, Yukihide Momozawa, Hiroshi Matsunaga, Hirotaka Ieki, Kouichi Ozaki, Yoshihiro Onouchi, Atsushi Takahashi, Seitaro Nomura, Hiroyuki Morita, Hiroshi Akazawa, Changhoon Kim, , Issei Komuro

This study identifies novel genetic loci for coronary artery disease in Japanese and transethnic populations and develops a polygenic risk score that outperforms population-specific scores.

bioRxiv · Nov 16, 2019 · PreprintGenetics