
Yoichiro Kamatani
Articles
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Dec 10, 2024 |
medrxiv.org | Takashi Shimoyama |Koichi Matsuda |Yoichiro Kamatani |Hiroki Yamaguchi
The authors have declared no competing interest. N/AThis work was supported by a Grant-in-Aid for Scientific Research (C) (21K07445) from Japan Society for the Promotion of Science (JSPS). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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Aug 29, 2024 |
nature.com | Ikuo Otsuka |Toshiyuki Shirai |Xiaoxi Liu |Yoichiro Kamatani |Chikashi Terao
AbstractMosaic chromosomal alterations (mCAs) are classified as mosaic deletions (loss), copy-neutral loss of heterozygosity (CN-LOH), and duplications (gain), attracting special attention as biological aging-related acquired genetic alterations. While these mCAs have been linked with aging and various diseases, no study has investigated their association with suicide risk which is associated with abnormal biological aging.
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Aug 26, 2024 |
nature.com | Yoichiro Kamatani |Tadashi Kaname
Artificial intelligence (AI) and machine learning (ML) are rapidly growing and becoming essential research tools in the world of science. Genetics is no exception, and many approaches have been developed to incorporate a variety of these techniques.
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Jul 23, 2024 |
nature.com | Wei Gan |Robert Clarke |Masaru Koido |Masahiro Kanai |Yukinori Okada |Yoichiro Kamatani | +7 more
AbstractElevated blood pressure (BP) is major risk factor for cardiovascular diseases (CVD). Genome-wide association studies (GWAS) conducted predominantly in populations of European ancestry have identified >2,000 BP-associated loci, but other ancestries have been less well-studied. We conducted GWAS of systolic, diastolic, pulse, and mean arterial BP in 100,453 Chinese adults. We identified 128 non-overlapping loci associated with one or more BP traits, including 74 newly-reported associations.
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Jul 15, 2024 |
nature.com | Yoichiro Kamatani |Jun Sese |Shuji Kawaguchi
AbstractGenome-wide association studies have enabled the identification of important genetic factors in many trait studies. However, only a fraction of the heritability can be explained by known genetic factors, even in the most common diseases.
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