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Identification of an interaction between VWF rs7965413 and platelet count as a novel risk marker for metabolic syndrome: an extensive search of candidate polymorphisms in a case-control study.
Nakatochi M, Ushida Y, Yasuda Y, Yoshida Y, Kawai S, Kato R, Nakashima T, Iwata M, Kuwatsuka Y, Ando M, Hamajima N, Kondo T, Oda H, Hayashi M, Kato S, Yamaguchi M, Maruyama S, Matsuo S, Honda H. Nakatochi M, et al. Among authors: yoshida y. PLoS One. 2015 Feb 3;10(2):e0117591. doi: 10.1371/journal.pone.0117591. eCollection 2015. PLoS One. 2015. PMID: 25646961 Free PMC article.
Effect of dietary energy and polymorphisms in BRAP and GHRL on obesity and metabolic traits.
Imaizumi T, Ando M, Nakatochi M, Yasuda Y, Honda H, Kuwatsuka Y, Kato S, Kondo T, Iwata M, Nakashima T, Yasui H, Takamatsu H, Okajima H, Yoshida Y, Maruyama S. Imaizumi T, et al. Among authors: yoshida y. Obes Res Clin Pract. 2018 Jan-Feb;12(Suppl 2):39-48. doi: 10.1016/j.orcp.2016.05.004. Epub 2016 May 27. Obes Res Clin Pract. 2018. PMID: 27245511
Association between kidney function and genetic polymorphisms in atherosclerotic and chronic kidney diseases: A cross-sectional study in Japanese male workers.
Kubo Y, Imaizumi T, Ando M, Nakatochi M, Yasuda Y, Honda H, Kuwatsuka Y, Kato S, Kikuchi K, Kondo T, Iwata M, Nakashima T, Yasui H, Takamatsu H, Okajima H, Yoshida Y, Maruyama S. Kubo Y, et al. Among authors: yoshida y. PLoS One. 2017 Oct 10;12(10):e0185476. doi: 10.1371/journal.pone.0185476. eCollection 2017. PLoS One. 2017. PMID: 29016630 Free PMC article.
Association of interactions between dietary salt consumption and hypertension-susceptibility genetic polymorphisms with blood pressure among Japanese male workers.
Imaizumi T, Ando M, Nakatochi M, Maruyama S, Yasuda Y, Honda H, Kuwatsuka Y, Kato S, Kondo T, Iwata M, Nakashima T, Yasui H, Takamatsu H, Okajima H, Yoshida Y, Matsuo S. Imaizumi T, et al. Among authors: yoshida y. Clin Exp Nephrol. 2017 Jun;21(3):457-464. doi: 10.1007/s10157-016-1315-3. Epub 2016 Aug 1. Clin Exp Nephrol. 2017. PMID: 27480094
Randomized controlled trial for assessment of Internet of Things system to guide intensive glucose control in diabetes outpatients: Nagoya Health Navigator Study protocol.
Onoue T, Goto M, Kobayashi T, Tominaga T, Ando M, Honda H, Yoshida Y, Tosaki T, Yokoi H, Kato S, Maruyama S, Arima H. Onoue T, et al. Among authors: yoshida y. Nagoya J Med Sci. 2017 Aug;79(3):323-329. doi: 10.18999/nagjms.79.3.323. Nagoya J Med Sci. 2017. PMID: 28878437 Free PMC article. Clinical Trial.
6,839 results