Author

Megumi Hara

Saga UniversityORCID 0000-0002-8708-3237Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Yuichiro NishidaiD· 3 shared Adeline SeowiD· 1 shared Akiko MatsumotoiD· 1 shared Akiteru GotoiD· 1 shared Andrea Lynn HeveneriD· 1 shared Ann G. SchwartziD· 1 shared Atsushi ShimizuiD· 1 shared Atsushi TakahashiiD· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Yuichiro NishidaORCID

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3 papers

Recent·Most cited

Stratifying Lung Adenocarcinoma Risk with Multi-ancestry Polygenic Risk Scores in East Asian Never-Smokers

Batel Blechter, Xiaoyu Wang, Juncheng Dai, Christiana Kartsonaki, Jianxin Shi, Kouya Shiraishi, Jiyeon Choi, Keitaro Matsuo, Tzu‐Yu Chen, Rayjean J. Hung, Kexin Chen, Xiao-Ou Shu, Young Tae Kim, Parichoy Pal Choudhury, Jacob Williams, , Ping Yang

The paper develops and validates multi-ancestry polygenic risk scores for LUAD in East Asian never-smokers, showing improved risk prediction compared to East Asian-only models.

JNCI Journal of the National Cancer Institute · Sep 18, 2025Peer-reviewedGenetic & Genomic Medicine

High-Throughput Measurement of Oxidative Stress Indicators: d-ROMs and BAP Assays in a 384-Well Plate Format

Goki Yamada, Sudarma Bogahawaththa, Yuichiro Nishida, Mikako Horita, Kazuhiro Kawamoto, Yasuyuki Maeda, Mikiko Tokiya, Megumi Hara, Tadayuki Tsujita, Akiko Matsumoto

The paper develops a high-throughput system for measuring oxidative stress indicators using a 384-well plate format, reducing time and resource consumption while maintaining accuracy.

bioRxiv · Jul 21, 2025 · PreprintBiochemistry

A Pro-Diabetogenic mtDNA Polymorphism in the Mitochondrial-Derived Peptide, MOTS-c

Hirofumi Zempo, Su‐Jeong Kim, Noriyuki Fuku, Yuichiro Nishida, Yasuki Higaki, Junxiang Wan, Kelvin Yen, Brendan Miller, Roberto Vicinanza, Eri Miyamoto‐Mikami, Hiroshi Kumagai, Hisashi Naıto, Jialin Xiao, Hemal H. Mehta, Changhan David Lee, , Pinchas Cohen

The paper identifies a mtDNA polymorphism in MOTS-c associated with increased T2D risk in males, interacting with physical activity.

Aging · Jan 19, 2021Peer-reviewedGenetics