133. 古谷 元樹, 重水 大智. 臨床情報を用いたBrugada症候群の機械学習モデル. 第7回日本メディカルAI学会学術集会, 2025, June 27, P-1-8, 京都. (P)
132. 光森 理紗, 澤村 嘉代子, 山越 貴水, 中村 昭範, 新畑 豊, 新飯田 俊平, 重水 大智, 尾崎 浩一, 下田 修義. メチローム解析によるアルツハイマー型認知症血液マーカーの同定. 第18回 エピジェネティクス研究会年会, 2025 June 19, P-53, 福井. (P)
131. Caro I, Sargurupremraj M, Trégouët DA, Shigemizu D, Couffinhal T, Kamatani Y, Mohammedi K, Debette S. Genetic insights into protective effects of GLP-1 receptor agonists on stroke and alzheimer's disease risk in European and East-Asian populations. 11th European Stroke Organisation Conference – ESOC, 2025, May 21-22, P451, Helsinki, Finland. (P)
130. 福永 航也, 倉田 麻衣子, 水川 良子, 新原 寛之, 森田 栄伸, 渡邉 裕子, 山口 由衣, 藤山 俊晴, 小豆澤 宏明, 浅田 秀夫, 長谷川 瑛人, 濱 菜摘, 重水 大智, 阿部 理一郎, 莚田 泰誠. アロプリノール誘発性薬疹に関連するHLA-B*58:01アレルの薬疹の種類に対する影響の比較. 第8回関東HLA研究会, 2025, May 17, 一般演題1, 東京. (O)
129. 山川 明子, 菅沼 睦美, 光森 理紗, 新飯田 俊平, 尾崎 浩一, 重水 大智. 網羅的遺伝子発現解析による早期診断のための段階特異的血液バイオマーカーの同定. 第43回日本認知症学会学術集会, 2024, Nov 22, P322, 郡山. (P)
128. 重水 大智, 中村 昭範, 加藤 隆司, 二橋 尚志, 櫻井 圭太, 武田 章敬, 新畑 豊, 尾崎 浩一, 新飯田 俊平, BATON/STREAM study group. アミロイドβの蓄積速度に関連する全ゲノム解析に基づく遺伝子変異の探索. 第43回日本認知症学会学術集会, 2024, Nov 21, P003, 郡山. (O, P)
127. Mitsumori R, Asanomi Y, Miyashita A, Morizono T, Hara N, Shigemizu D, Ikeuchi T, Niida S, and Ozaki K. Identification of multiple new loci associated with late-onset Alzheimer’s disease in Japanese. The American Society of Human Genetics, 2024, Nov 6, 5095W, Denver, CO, USA. (P)
126. Asanomi Y, Kimura T, Shimoda N, Shigemizu D, Niida S, and Ozaki K. Functional analyses for the late-onset Alzheimer’s disease-risk variants of SHARPIN using CRISPR/Cas9-mediated knock-in cells. The American Society of Human Genetics, 2024, Nov 6, 6032W, Denver, CO, USA. (P)
125. 菅沼 睦美, 古谷 元樹, 細山 徹, 光森 理紗, 大塚 礼, 竹村 真里枝 , 松井 康素 , 佐竹 昭介, 中野 由紀子, 尾崎 浩一 , 重水 大智: 網羅的遺伝子発現解析によるフレイルに関わる血液バイオマーカーの探索. 第11回日本サルコペニア・フレイル学会大会, 2024, Nov 3, P-16-1, 東京. (P)
124. 細山 徹，漆畑 拓弥，高石 美菜子，佐藤 亜希子，渡邉 剛，竹村 真里枝，重水 大智，関根 圭輔 ，佐竹 昭介: 網加齢変動性マイオカインのαアミラーゼは疾患バイオマーカーになり得る. 第11回日本サルコペニア・フレイル学会大会, 2024, Nov 3, U-3, 東京. (O)
123. Yamakawa A, Suganuma M, Mitsumori R, Niida S, Ozaki K, and Shigemizu D. Identification of stage-specific blood biomarkers for early diagnosis of Alzheimer’s disease by transcriptome analysis. 1st Asia & Pacific Bioinformatics Joint Conference (APBJC2024), Oct 24, P-84, Okinawa. (P)
122. Hosoyama T, Kawai-Takaishi M, Takemura M, Watanabe T, Sekine K, Shigemizu D, Satake S. Muscle-derived α-amylase is age-variable myokine and useful for the frailty biomarker. 10th Asian Conference for Frailty and Sarcopenia (ACFS 2024), Oct 11, O01, Bangkok. (O)
121. Suganuma M, Furutani M, Hosoyama T, Mitsumori R, Otsuka R, Takemura M, Matsui Y, Nakano Y, Niida S, Ozaki K, Satake S, and Shigemizu D. An integrative approach to detect potential blood-based biomarkers for frailty. 10th Asian Conference for Frailty and Sarcopenia (ACFS 2024), Oct 10, P-53, Bangkok. (P)
120. 光森 理紗, 浅海 裕也, 宮下 哲典, 森園 隆, 原 範和, 重水 大智, 池内 健, 新飯田 俊平, 尾崎 浩一. Genome-wide association study for late-onset Alzheimer’s disease in a Japanese population. 日本人類遺伝学会第69回大会, 2024, Oct 12, O14-2, 札幌. (O)
119. 山川 明子, 菅沼 睦美, 光森 理紗, 新飯田 俊平, 尾崎 浩一, 重水 大智. Identification of stage-specific blood biomarkers for early diagnosis of Alzheimer’s disease by transcriptome analysis. 日本人類遺伝学会第69回大会, 2024, Oct 12, O14-1, 札幌. (O)
118. 浅海 裕也, 木村 哲晃, 下田 修義, 重水 大智, 新飯田 俊平, 尾崎 浩一. Functional analyses of the late-onset Alzheimer’s disease-risk SHARPIN variants using CRISPR/Cas9 knock-in cells. 日本人類遺伝学会第69回大会, 2024, Oct 12, P3-02-4, 札幌. (P)
117. 木村 哲晃, 藤田 康介, 櫻井 孝, 新飯田 俊平, 尾崎 浩一, 重水 大智. Whole genome sequencing reveals East Asian specific rare variants in CDH23 associated with dementia with Lewy bodies. 日本人類遺伝学会第69回大会, 2024, Oct 11, OE5-5, 札幌. (O)
116. 福永 航也, 重水 大智, 莚田 泰誠. shortHLAseq: 8座のHLA 遺伝子領域をshort-range PCRで増幅するアンプリコンシークエンシング法の開発. 第32回組織適合性学会, 2024, Sep 26, O-08, 名古屋. (O)
115. Shigemizu D, Nakamura A, Kato T, Nihashi T, Sakurai K, Takeda A, Arahata Y, Ozaki K, Niida S, BATON/STREAM study group. Exploration Of Genetic Variants Associated With The Rate Of Amyloid-β Accumulation Using Whole-genome Sequencing. Alzheimer's Association International Conference (AAIC) Advancements: Modernizing Diagnosis, 2024, Sep 19, P-23, Tokyo. (P)
114. Kimura T, Suganuma M, Sawamura K, Asanomi Y, Shimoda N, Ogiso N, Hosoyama T, Niida S, Ozaki K, and Shigemizu D. The loss-of-function variant in MFSD3 could play a crucial role in the pathogenesis of dementia with Lewy bodies. Alzheimer's Association International Conference (AAIC), 2024, July 31, P-86694, Philadelphia. (P)
113. Shigemizu D, Fujita K, Niida S, Ozaki K, Sakurai T, and Arai H. A polygenic risk score contributes to identifying individuals with the potential for cognitive function improvement. Alzheimer's Association International Conference (AAIC), 2024, July 28, P-86348, Philadelphia. (P)
112. Yamakawa A, Suganuma M, Mitsumori R, Niida S, Ozaki K, and Shigemizu D. Identification of stage-specific blood biomarkers for early diagnosis of Alzheimer’s disease through RNA sequencing analysis. Alzheimer's Association International Conference (AAIC), 2024, July 28, P-85323, Philadelphia. (P)
111. 吉浦 和宏, 李 嘉琦, 細山 徹, 重水 大智, 竹村 真里枝, 松井 康素, 堀 紀子, 木下 かほり, 大須賀 洋祐, 佐竹 昭介. ロコモフレイル外来受診者におけるGDF-15と身体的フレイル・認知的フレイルとの関連. 第66回日本老年医学会学術集, 2024, June 13, O6-4, 愛知. (O)
110. 木村 哲晃, 山川 明子, 菅沼 睦美, 新飯田 俊平, 尾崎 浩一, 重水 大智. 日本人の大規模ゲノム解析を通して免疫の側面から見たアルツハイマー病. 第24回日本抗加齢医学会総会, 2024, Jun 1, BP1-7, 熊本. (O, 優秀演題)
109. 藤田 康介, 杉本 大貴, 中村 昭範, 重水 大智, 内田 一彰, 松本 奈々恵, 黒田 佑次郎, 横山 陽子, 櫻井 孝, 荒井 秀典. 認知症リスク低減のための多因子介入：効果的な対象集団の探索. 6NCリトリート2024, 2024, Apr 13, P7-12, 東京. (P)
108. 光森 理紗, 浅海 裕也, 宮下 哲典, 森園 隆, 原 範和, 重水 大智, 池内 健, 新飯田 俊平, 尾崎 浩一. 日本人における孤発性アルツハイマー病の大規模ゲノムワイド関連解析. 6NCリトリート2024, 2024, Apr 13, P11-7, 東京. (P, 理事長賞)
107. 木村 哲晃, 菅沼 睦美, 澤村 嘉代子, 浅海 裕也, 細山 徹, 下田 修義, 小木曽 昇, 新飯田 俊平, 尾崎 浩一, 重水 大智. 日本人集団で見つかったレビー小体型認知症に関連する MFSD3 多型の機能解析. 第42回日本認知症学会学術集会, 2023, Nov 25, P346, 奈良. (P)
106. 山川 明子, 光森 理紗, 菅沼 睦美, 秋山 真太郎, 新飯田 俊平, 尾崎 浩一, 重水 大智. 遺伝子発現データに基づくアルツハイマー病移行予測診断システムの開発. 第42回日本認知症学会学術集会, 2023, Nov 25, P339, 奈良. (P)
105. Suganuma M, Furutani M, Hosoyama T, Akiyama S, Mitsumori R, Otsuka R, Takemura M, Matsui Y, Nakano Y, Niida S, Ozaki K, Satake S, and Shigemizu D. An integrative approach to detect potential blood-based biomarkers for frailty. The American Society of Human Genetics, 2023, Nov 4, PB3321, WASHINGTON, DC. (P)
104. Mitsumori R, Asanomi Y, Shigemizu D, Akiyama S, Morizono T, Niida S, and Ozaki K. Identification of an East Asian-specific variant associated with Lewy bodies dementia by genome-wide association study in Japanese subjects. The American Society of Human Genetics, 2023, Nov 3, PB1583, WASHINGTON, DC. (P)
103. Kimura T, Suganuma M, Hosoyama T, Sawamura K, Shimoda N, Ogiso N, Niida S, Ozaki K, and Shigemizu D. Functional analysis of MFSD3 associated with dementia with Lewy bodies. The American Society of Human Genetics, 2023, Nov 3, PB1109, WASHINGTON, DC. (P)
102. Asanomi Y, Kimura T, Shimoda N, Shigemizu D, Niida S, and Ozaki K. CRISPR/Cas9-mediated knock-in of late-onset Alzheimer’s disease-risk variant, SHARPIN G186R, lessens the NF-κB pathway and accelerates Aβ secretion. The American Society of Human Genetics, 2023, Nov 2, PB1063, WASHINGTON, DC. (P)
101. Yamakawa A, Mitsumori R, Suganuma M, Akiyama S, Niida S, Ozaki K, and Shigemizu D.: RNA-seq data analysis identifies blood-based biomarkers for diagnosis and disease progression of Alzheimer's disease. The American Society of Human Genetics, 2023, Nov 2, PB3463, WASHINGTON, DC. (P)
100. Shigemizu D, Sakai Y, Honjo K, Wakao N, Matsui H, Shimada H, Mitsumori R, Ozaki K, and Watanabe K. Genome-wide association study for non-specific chronic pain in Japanese elderly. Human Genetics Asia 2023, 2023, Oct 12, P1-10-7, Tokyo. (P)
99. Suganuma M, Furutani M, Hosoyama T, Akiyama S, Mitsumori R, Otsuka R, Takemura M, Matsui Y, Nakano Y, Niida S, Ozaki K, Satake S, and Shigemizu D. Identification of potential blood-based biomarkers for frailty by using an integrative approach. Human Genetics Asia 2023, 2023, P1-10-6, Oct 12, Tokyo. (P)
98. Kimura T, Suganuma M, Hosoyama T, Sawamura K, Shimoda N, Ogiso N, Niida S, Ozaki K, and Shigemizu D. Functional analysis of MFSD3 associated with dementia with Lewy bodies. Human Genetics Asia 2023, 2023, Oct 12, P1-10-5, Tokyo. (P)
97. Mitsumori R, Asanomi Y, Shigemizu D, Akiyama S, Morizono T, Niida S, and Ozaki K. A genome wide association study identifies an East Asian-specific risk variant for Lewy bodies dementia in Japanese. Human Genetics Asia 2023, 2023, Oct 12, P1-10-4, Tokyo. (P)
96. Asanomi Y, Kimura T, Shimoda N, Shigemizu D, Niida S, and Ozaki K. Knock-in of late-onset Alzheimer’s disease-risk variant SHARPIN G186R lessens NF-κB pathway and accelerates Aβ secretion. Human Genetics Asia 2023, 2023, Oct 12, P1-10-1, Tokyo.(P)
95. Yamakawa A, Mitsumori R, Suganuma M, Akiyama S, Niida S, Ozaki K, and Shigemizu D. Exploration of blood-based biomarkers to predict the progression of Alzheimer's disease by RNA-sequencing data analysis. Human Genetics Asia 2023, 2023, Oct 12, P1-05-4, Tokyo. (P)
94. 木村 哲晃, 菅沼 睦美, 澤村 嘉代子, 細山 徹, 下田 修義, 小木曽 昇, 新飯田 俊平, 尾崎 浩一, 重水 大智: 日本人集団で見つかったレビー小体型認知症に関連するMFSD3多型の機能解析. 第12回日本認知症予防学会学術集会, 2023, Sep 16, O4-6, 新潟. (O, 浦上賞)
93. 山川 明子, 光森 理紗, 菅沼 睦美, 秋山 真太郎, 新飯田 俊平, 尾崎 浩一, 重水 大智. RNA-seq データ解析に基づく軽度認知機能障害からアルツハイマー型認知症への移行に関与する血液バイオマーカーの探索. 第12回日本認知症予防学会学術集会, 2023, Sep 15, O7-3, 新潟. (O, 浦上賞)
92. 山川 明子, 光森 理紗, 菅沼 睦美, 秋山 真太郎, 新飯田 俊平, 尾崎 浩一, 重水 大智. Identification of blood-based biomarkers associated with conversion from mild cognitive impairment to Alzheimer’s disease by RNA-sequencing data analysis. IIBMP2023, 2023, Sep 7-8, P-106, 柏. (P)
91. Li J, Yasuoka M, Kinoshita K, Hirano Y, Maeda K, Takemura M, Matsui Y, Hosoyama T, Shigemizu D, Arai H, and Satake S. Association between spatio-temporal gait parameters and the risk of falls in older adults. IAGG Asia/Oceania Regional Congress 2023, 2023, June 14, P670, Yokohama. (P)
90. Li J, Hosoyama T, Shigemizu D, Yasuoka M, Kinoshita K, Maeda K, Takemura M, Matsui Y, Arai H, Satake S. Circulating CXCL9 levels, but not CXCL10 levels, were associated with frailty in older adults. IAGG Asia/Oceania Regional Congress 2023, 2023, June 14, P260, Yokohama. (P)
89. Ishii K, Ma L, Shigemizu D, Asanomi Y, Nakamura H, Ozaki K, and Watanabe K. Ferroptotic aspects of cartilage degeneration in mouse osteoarthritis. IAGG Asia/Oceania Regional Congress 2023, 2023, June 13, O1042, Yokohama. (O)
88. Kimura T, Suganuma M, Sawamura K, Hosoyama T, Ogiso N, Niida S, Ozaki K, and Shigemizu D. MFSD3 loss of function with dementia with Lewy bodies causes an increase of butyrylcholinesterase activity in the brain. IAGG Asia/Oceania Regional Congress 2023, 2023, June 13, P633, Yokohama. (P)
87. Mitsumori R, Asanomi Y, Shigemizu D, Akiyama S, Morizono T, Niida S, and Ozaki K. Genome wide association study identifies new genetic risk loci for dementia with Lewy body in Japanese. IAGG Asia/Oceania Regional Congress 2023, 2023, June 13, P626, Yokohama. (P)
86. Asanomi Y, Shigemizu D, Akiyama S, Mitsumori R, Niida S, Ozaki K. East Asian-specific late-onset Alzheimer's disease risk variant alters the endogenous SHARPIN function. IAGG Asia/Oceania Regional Congress 2023, 2023, June 13, P420, Yokohama. (P)
85. Yamakawa A, Mitsumori R, Akiyama S, Niida S, Ozaki K, and Shigemizu D. Identification of blood-based biomarkers associated with conversion from mild cognitive impairment to Alzheimer’s disease by RNA-sequencing data analysis. IAGG Asia/Oceania Regional Congress 2023, 2023, June 12, P860, Yokohama. (P)
84. Suganuma M, Furutani M, Hosoyama T, Akiyama S, Mitsumori R, Otsuka R, Takemura M, Matsui Y, Nakano Y, Niida S, Ozaki K, Satake S, and Shigemizu D. Identification of blood-based biomarkers for early diagnosis of frailty through a combined analysis of the clinical data, gene-expression data, and aging-related factors. IAGG Asia/Oceania Regional Congress 2023, 2023, June 12, P632, Yokohama. (P)
83. 光森 理紗, 浅海 裕也, 重水 大智, 秋山 真太郎, 森園 隆, 新飯田 俊平, 尾崎 浩一. 日本人および民族間横断的ゲノムワイド関連解析によるレビー小体認知症感受性座位の探索. 第31回日本医学会総会2023東京, 2023, Apr 22, P11-4, 東京. (P, 理事長賞)
82. 古谷 元樹, 森園 隆, 光森 理紗, 呉谷 文, 中野 由紀子, 新飯田 俊平, 重水 大智, 尾崎 浩一: 日本人集団におけるQTL解析. 日本人類遺伝学会第67回大会, 2022, Dec 15, PE2-5, 横浜. (P)
81. 光森 理紗, 浅海 裕也, 重水 大智, 秋山 真太郎, 森園 隆, 新飯田 俊平, 尾崎 浩一. 日本人および民族間横断的ゲノムワイド関連解析によるレビー小体認知症感受性座位の探索. 日本人類遺伝学会第67回大会, 2022, Dec 15, P-12-12, 横浜. (P)
80. 浅海 裕也, 重水 大智, 秋山 真太郎, 光森 理紗, 新飯田 俊平, 尾崎 浩一. 日本人における遅発性アルツハイマー病関連遺伝子SHARPINの同定と解析. 日本人類遺伝学会第67回大会, 2022, Dec 15, P-12-10, 横浜. (P)
79. 木村 哲晃, 浅海 裕也, 秋山 真太郎, 光森 理紗, 森園 隆, 新飯田 俊平, 尾崎 浩一, 重水 大智. 全ゲノムシーケンスによるアルツハイマー病に関連したMLKL遺伝子の日本人に特異的な新規希少バリアントの発見. 日本人類遺伝学会第67回大会, 2022, Dec 16, P-21-1, 横浜. (P)
78. 呉谷 文, 森園 隆, 秋山 真太郎, 新飯田 俊平, 尾崎 浩一, 重水 大智. 日本人大規模データを用いたアルツハイマー病トランスクリプトームワイド関連解析. 第45回日本分子生物学会年会, 2022, Nov 30, 1P-718, 幕張. (P)
77. 古谷 元樹, 菅沼 睦美, 秋山 真太郎, 光森 理紗, 細山 徹, 竹村 真里枝, 松井 康素, 佐竹 昭介, 中野 由紀子, 尾崎 浩一, 重水 大智. 網羅的遺伝子発現解析によるサルコペニアに関わるバイオマーカーの探索. 第9回日本サルコペニア・フレイル学会大会, 2022, Oct 29-30, I-064, 草津. (P)
76. Furunani M, Suganuma M, Akiyama S, Mitsumori R, Hosoyama T, Takemura M, Matsui Y, Satake S, Nakano Y, Niida S, Ozaki K, and Shigemizu D. Identification of potential blood biomarkers for Sarcopenia through RNA sequencing analysis. The 8th Asian Conference for Frailty and Sarcopenia, 2022, Oct 28, P07-2, Nagoya. (P)
75. Asanomi Y, Shigemizu D, Akiyama S, Mitsumori R, Niida S, and Ozaki K. Identification of a novel functional missense variant associated with late-onset Alzheimer's disease in Japanese. 第11回生命医薬情報学連合大会, 2022, Sep 14, P-82, Osaka. (P)
74. 馬 凌云, 重水 大智, 中村 博幸, 尾崎 浩一, 渡邉 研. 変形性関節症自然発症マウスモデルSTR/ortの軟骨変性に関わる遺伝子変異の同定とferroptosisの関与. 第94回日本生化学会大会, 2021, Nov 3, P-503, WEB. (P)
73. 浅海 裕也, 重水 大智, 秋山 真太郎, 宮下 哲典, 光森 理紗, 原 範和, 池内 健, 新飯田 俊平, 尾崎 浩一. 遅発性アルツハイマー病関連遺伝子SHARPINの疾患リスクとなる新規機能的ミスセンスバリアントの同定. The Japan Society of Human Genetics, 2021, Oct 15, O8-5, 横浜. (O)
72. 光森 理紗, 浅海 裕也, 重水 大智, 秋山 真太郎, 森園 隆, 寺尾 知可史, 新飯田 俊平, 尾崎 浩一. 日本人および民族横断的ゲノムワイド関連解析による認知症の感受性座位の探索. The Japan Society of Human Genetics, 2021, Oct 15, P27-1, 横浜. (P)
71. 古谷 元樹, 岡村 祥央, 森園 隆, 重水 大智, 新飯田 俊平, 中野 由紀子, 尾崎 浩一. 日本人集団における頻脈誘発性心筋症のゲノムワイド関連解析. The Japan Society of Human Genetics, 2021, Oct 14, P16-4, 横浜. (P)
70. 光森 理紗, 浅海 裕也, 重水 大智, 秋山 真太郎, 森園 隆, 新飯田 俊平, 尾崎 浩一. ゲノムワイド関連解析による4種類の認知症における感受性座位の探索. The Japan Society of Human Genetics, 2020, P8-1, WEB. (P)
69. Asanomi Y, Shigemizu D, Mitsumori R, Niida S, and Ozaki K. Identification of the novel rare variants in SHARPIN associated with the risk of late-onset Alzheimer's disease. The Japan Society of Human Genetics, 2020, OE11-5, WEB. (O)
68. Kikuchi M, Miyashita A, Hara N, Shigemizu D, Ozaki K, Niida S, Ikeuchi T, Nakaya A. Polygenic analysis of late-onset Alzheimer’s disease in a Japanese population. 2020 Alzheimer's Association International Conference, 2020, July 27, Virtual Event (P)
67. Ma L, Shigemizu D, Akiyama S, Jokaji R, Nakamura H, Ozaki K, Watanabe K. Identification Of A Gene Mutation Involved In Cartilage Degeneration In Str/ort, A Mouse Line Developing Spontaneous Osteoarthritis. ORS 2020 Annual Meeting, 2020, Feb 11, PS1-002-581, Phoenix, Arizona, USA. (P)
66. 馬凌云, 重水大智, 秋山真太郎, 尾崎浩一, 渡辺 研. 変形性関節症自然発症マウスのゲノム解析. The Japan Society of Human Genetics, 2019, Nov 8, P34-2, Nagasaki. (P)
65. Wong JH, Shigemizu D, Yoshii Y, Akiyama S, Tanaka A, Nakagawa H, Narumiya S, and Fujimoto A. Identification of intermediate-sized deletions and inference of their impact on gene expression in a human population. The Japan Society of Human Genetics, 2019, Nov 8, APCHG-4, Nagasaki. (O)
64. Shigemizu D, Akiyama S, Higaki S, Sugimoto T, Sakurai T, Niida S, and Ozaki K. Prognosis prediction model for Alzheimer’s disease conversion from mild cognitive impairment using integrative multi-omics data. The Japan Society of Human Genetics, 2019, Nov 9, O27-4, Nagasaki. (O)
63. Asanomi Y, Shigemizu D, Miyashita A, Mitsumori R, Mori T, Hara N., Ito K, Niida S, Ikeuchi T, and Ozaki K. A nonsynonymous variant of SHARPIN attenuates the inflammatory response and associates with late-onset Alzheimer's disease. The Japan Society of Human Genetics, 2019, Nov 7, BP-1, Nagasaki. (P)
62. Mori T, Shigemizu D, Asanomi Y, Mitsumori R, Niida S, and Ozaki K. Functional analysis for the variants associated with the risk of late-onset Alzheimer’s disease. The Japan Society of Human Genetics, 2019, Nov 7, P1-2, Nagasaki. (P)
61. Mitsumori R, Shigemizu D, Akiyama S, Asanomi Y, Mori T, Niida S, and Ozaki K. Genome wide association study for dementias in a Japanese population. The Japan Society of Human Genetics, 2019, Nov 7, O8-4, Nagasaki. (O)
60. 馬 凌云, 重水 大智, 秋山 真太郎, 定梶 嶺, 中村 博幸, 尾崎 浩一, 渡辺 研. 変形性関節症を自然発症するSTR/ortマウスのゲノム解析による軟骨変性関連遺伝子の同定. The 42 Annual Meeting of the Molecular Biology Society of Japan, 2019, Dec 4, 2P-0270, Fukuoka. (P)
59. 岩波 礼将, 横井 勇人, 秋山 真太郎, 重水 大智, 荒木 夏生, 二宮 尚, 松田 勝, 鈴木 徹, 下田 修義. Role of gene body methylation revealed by a viable zebrafish DNA methyltransferase mutant. The 42 Annual Meeting of the Molecular Biology Society of Japan, 2019, Dec 4, 2P-0102, Fukuoka. (P)
58. Mitsumori R, Shigemizu D, Akiyama S, Asanomi Y, Mori T, Niida S, and Ozaki K. 日本人における5種認知症のゲノムワイドな関連解析. The 42 Annual Meeting of the Molecular Biology Society of Japan, 2019, Dec 3, 1P-0627, Fukuoka. (P)
57. Akiyama S, Higaki S, Niida S, Ozaki K, and Shigemizu D. JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci. The 42 Annual Meeting of the Molecular Biology Society of Japan, 2019, Dec 5, 3P-0651, Fukuoka. (P)
56. Asanomi Y, Shigemizu D, Sakurai T, Ozaki K, Ochiya T, and Niida S. Multiclass classification model for dementia-type prediction using serum microRNA biomarkers. 第8回生命医薬情報学連合大会, 2019, Sep 10, P-70, Tokyo. (P)
55. Akiyama S, Higaki S, Niida S, Ozaki K, and Shigemizu D. JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci. 第8回生命医薬情報学連合大会, 2019, Sep 10, P-28, Tokyo. (P)
54. Mitsumori R, Shigemizu D, Akiyama S, Asanomi Y, Mori T, Niida S, and Ozaki K. Genome wide association study for dementias in a Japanese population. The American Society of Human Genetics, 2019, Oct 19, P2082W, HOUSTON, TX, USA. (P)
53. Asanomi Y, Shigemizu D, Miyashita A, Mitsumori R, Mori T, Hara N, Ito K, Niida S, Ikeuchi T, and Ozaki K. Whole exome sequencing identifies a rare functional variant SHARPIN G186R associated with increased risk of late-onset Alzheimer's disease. The American Society of Human Genetics, 2019, Oct 19, P2067W, HOUSTON, TX, USA. (P)
52. Shigemizu D, Akiyama S, Asanomi Y, Boroevich KA, Sharma A, Tsunoda T, Sakurai T, Ozaki K, and Niida S. A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data. The American Society of Human Genetics, 2019, Oct 17, 1471T, HOUSTON, TX, USA. (P)
51. 岩波 礼将, 横井 勇人, 秋山 真太郎, 重水 大智, 荒木 夏生, 二宮 尚, 松田 勝, 鈴木 徹, 下田 修義. ジーンボディにおけるDNAメチル化の機能的役割. 第13回日本エピジェネティクス研究会年会, 2019, May 28-29, Yokohama. (P)
50. Shigemizu D, Akiyama S, Asanomi Y, Boroevich KA, Sharma A, Tsunoda T, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Sakurai T, Ozaki K, and Niida S. The construction of risk prediction models for dementia with supervised principal component analysis using miRNA expression data. 第6回JMACシンポジウム, 2019, Jan 24-25, Tokyo. (P)
49. Asanomi Y, Shigemizu D, Kayano M, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Sakurai T, Ozaki K, and Niida S. Exploration of serum microRNA biomarkers for dementia-risk prediction. 第6回JMACシンポジウム, 2019, Jan 24-25, Tokyo. (P)
48. 芦崎 晃一, 川崎 洋, 川上 英良, 重水 大智, 桜田 一洋, 角田 達彦, 海老原 全, 天谷 雅行. 医療データ駆動型研究を推進する医療データ収集システムの構築と導入効果、第38回日本医療情報学連合大会, 2018, Nov 23, 2-I-3-2, Fukuoka. (O)
47. Reddy HM, Sharma A, Dehzangi A, Shigemizu D, Chandra AA, and Tsunoda T. GlyStruct: Glycation prediction using structural properties of amino acid residues. International Conference on Bioinformatics (INCOB), 2018, Sep 26, SFIB-5, New Delhi, INDIA. (O)
46. Shigemizu D, Akiyama S, Asanomi Y, Boroevich KA, Sharma A, Tsunoda T, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Sakurai T, Ozaki K, and Niida S. The construction of risk prediction models for dementia with supervised principal component analysis using miRNA expression data. The American Society of Human Genetics, 2018, Oct 19, P2543F, San Diego, CA, USA. (P)
45. Mori T, Shigemizu D, Akiyama S, Mitsumori R, Asanomi Y, Niida S, and Ozaki K. Expression quantitative trait loci analysis with blood cells from late-onset Alzheimer's disease patients in Japanese. The Japan Society of Human Genetics, 2018, Oct 12, P-260, Yokohama. (P)
44. Mitsumori R, Asanomi Y, Shigemizu D, Mori T, Akiyama S, Niida S, and Ozaki K. Genome wide association study for four types of dementia in Japanese population. The Japan Society of Human Genetics, 2018, Oct 12, P-167, Yokohama. (P)
43. Wong JH, Akiyama S, Nakagawa H, Shigemizu D, and Fujimoto A. Identification and characterization of intermediate-sized deletions within a Japanese population. The Japan Society of Human Genetics, 2018, Oct 11, P-120, Yokohama. (P)
42. Miya F, Shigemizu D, Kanemura Y, Saitoh S, Okamoto N, Kato M, Matsunaga T, Mutai H, Kosaki K, and Tsunoda T. Beyond the limitations of exome analysis for genetic disorders. The Japan Society of Human Genetics, 2018, Oct 11, P-118, Yokohama. (P)
41. Asanomi Y, Shigemizu D, Mitsumori R, Mori T, Niida S, and Ozaki K. Association study of novel risk rare variants of late-onset Alzheimer's disease. The Japan Society of Human Genetics, 2018, Oct 12, BO-04, Yokohama. (O)
40. Shigemizu D, Akiyama S, Asanomi Y, Boroevich KA, Sharma A, Tsunoda T, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Sakurai T, Ozaki K, and Niida S. The construction of risk prediction models for dementia with supervised principal component analysis using miRNA expression data. The Japan Society of Human Genetics, 2018, Oct 12, O-102, Yokohama. (O)
39. Asanomi Y, Shigemizu D, Kayano M, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Ozaki K, and Niida S. Exploration of serum microRNA biomarkers for dementia risk prediction. 第10回日本RNAi研究会 / 第5回日本細胞外小胞学会JSEV, 2018, Aug 30, P-64, Hiroshima. (P)
38. Shigemizu D, Akiyama S, Asanomi Y, Boroevich KA, Sharma A, Tsunoda T, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Sakurai T, Ozaki K, and Niida S. The construction of risk prediction models for dementia with supervised principal component analysis using miRNA expression data. 第10回日本RNAi研究会 / 第5回日本細胞外小胞学会JSEV, 2018, Aug 30, P-60, Hiroshima. (P)
37. Shigemizu D. Clinical study using Next generation sequencing. Japanese Society of Bioinformatics, 2018, May 25, Kagoshima. (O)
36. Okamoto K, Shigemizu D, Okano T, Yeh TW, Takashima T, Yamashita M, Tanita K, Ono S, Mitsuiki N, Naruto T, Okada S, Takagi M, Mori M, Kanegane H, Tsunoda T, Imai K, and Morio T. Whole exome sequence analysis using the known and candidate genes for primary immunodeficiency diseases. The 2nd Scientific Congress of Asia-Pacific Society for Immunodeficiencie, 2018, May 7, Chongqing, China. (P)
35. Yagihara N, Watanabe Y, Makita N, Horie M, Simizu W, Ono S, Hasegawa K, Aiba T, Tanaka T, Tsunoda T, Shigemizu D, and Minamino T. Identification of Mutations in Causative Genes for Cardiomyopathies in Patients with Arrhythmia Syndromes and Structurally Normal Heart. The 82th Annual Scientific Meeting of the Japanese Circulation Society, 2018, Mar 24, Osaka. (P)
34. Watanabe R, Ohno S, Aiba T, Nakano Y., Aizawa Y, Hayashi K, Murakoshi N, Nakajima T, Yagihara N, Shigemizu D, Mishima H, Sudo T, Higuchi C, Takahashi A, Sekine A, Minamino N, Makiyama T, Tanaka Y, Murata H, Hayashi M, Iwasaki Y, Watanabe A, Tachibana M, Morita H, Miyamoto Y, Yoshiura K, Tsunoda T, Watanabe H, Kurabayashi M, Nogami A, Kihara Y, Makita N, Shimizu W, Horie M, and Tanaka T. Targeted deep sequencing reveals novel mutations in Japanese long QT syndrome patients. The Japan Society of Human Genetics, 2017, P-162, Kobe. (P)
33. Miya F, Shigemizu D, Kanemura Y, Saitoh S, Okamoto N, Kato M, Yamasaki M, Matsunaga T, Mutai H, and Kosaki K. Development and assessment of a pathogenic mutations search method for subjects where exome has previously failed. The Japan Society of Human Genetics, 2017, O-98, Kobe. (O)
32. Shigemizu D, Miya F, Akiyama S, Okuda S, Boroevich KA, Fujimoto A, Nakagawa H, Ozaki K, Niida S, Kanemura Y, Okamoto N, Saitoh S, Kato M, Yamasaki M, Matsunaga T, Mutai H, Kosaki K, and Tsunoda T. An accurate intermediate-size indel detection tool for discovery of mutations associated with human disease. The Japan Society of Human Genetics, 2017, O-97, Kobe. (O)
31. Asanomi Y, Shigemizu D, Nagata Y, Mitsumori R, Mori T, Niida S, and Ozaki K. Exome sequencing analyses for late-onset Alzheimer's disease in Japanese. The Japan Society of Human Genetics, 2017, O-91, Kobe. (O)
30. Mitsumori R, Asanomi Y, Shigemizu D, Nagata Y, Mori T, Akiyama S, Niida S, and Ozaki K. Genome wide association study for late-onset Alzheimer's Disease in a Japanese population. The Japan Society of Human Genetics, 2017, O-90, Kobe. (O)
29. Shigemizu D, Miya F, Akiyama S, Okuda S, Boroevich KA, Fujimoto A, Nakagawa H, Ozaki K, Niida S, Kanemura Y, Okamoto N, Saitoh S, Kato M, Yamasaki M, Matsunaga T, Mutai H, Kosaki K, and Tsunoda T. Development of an accurate intermediate-size indel detection tool for discovery of mutations associated with human disease. Informatics In Biology, Medicine and Pharmacology (IIBMP2017), 2017, O1-1, Sapporo. (O, P, 研究奨励賞)
28. Shigemizu D, Miya F, Akiyama S, Okuda S, Boroevich KA, Fujimoto A, Nakagawa H, and Tsunoda T. IMSindel: An accurate intermediate-size indel detection tool incorporating de novo assembly and gapped global-local alignment into spit reads. The American Society of Human Genetics, 2017, P1374F, Orland, FL, USA. (P)
27. Watanabe R, Ohno S, Aiba T, Ishikawa T, Nakano Y, Aizawa Y, Hayashi K, Murakoshi N, Nakajima T, Yagihara N, Shigemizu D, Mishima H, Sudo T, Higuchi C, Takahashi A, Sekine A, Minamino N, Makiyama T, Tanaka Y, Murata H, Hayashi M, Iwasaki Y, Watanabe A, Tachibana M, Morita H, Miyamoto Y, Yoshiura K, Tsunoda T, Watanabe H, Kurabayashi M, Nogami A, Kihara Y, Makita N, Shimizu W, Horie M, and Tanaka T. Identification of novel long QT syndrome-associated mutations by targeted sequencing analyses. European Human Genetics Conference, 2017, Copenhagen, Denmark. (P)
26. 宮 冬樹, 重水 大智, 齋藤 伸治, 須藤 章, 中川 英刀, 奥田 修二郎, 岡本 伸彦, 加藤 光広, 山崎 麻美, Keith A. Boroevich, 金村 米博, 小崎 健次郎, 角田達彦. 既存のexome解析では疾患原因変異同定が困難な検体の原因変異探索手法の開発. NGS現場の会第５回研究会, 2017, 仙台. (P)
25. Matsukura M, Sindo S, Kimura S, Yamamoto K, Hoshina K, Mitsui J, Tsuji S, Shigemizu D, Tsunoda T, Ozaki K, Tanaka T, and Watanabe T. Investigation of Disease Associated Genetic Factors of Peripheral Arterial Disease in a Japanese Population. The 57th Annual Meeting of Japanese College of Angiology, 2016, Nara. (O)
24. Shigemizu D, Miya F, Fujimoto A, Boroevich KA, Okuda S, and Tsunoda T. Development of a long indel detection method using the realignment of the misaligned reads. The American Society of Human Genetics, 2016, P1867W, Vancouver, Canada. (P)
23. Satake W, Suzuki Y, Shigemizu D, Takahashi A, Yamamoto K, Murata M, Hattori N, Tsunoda T, Tsuji S, Kubo M, Sugano S, Matsumoto N, and Toda T. Exome Association study and 2nd SNP-GWAS of Parkinsion's disease in Japan. The 13th International Congress of Human Genetics, 2016, Kyoto. (O)
22. Shigemizu D, Momozawa Y, Abe T, Morizono T, Boroevich KA, Takata S, Ashikawa K, Kubo M, and Tsunoda T. Performance comparison of four commercial human whole-exome capture platforms. The 13th International Congress of Human Genetics, 2016, P111, Kyoto. (P)
21. Satake W, Suzuki Y, Shigemizu D, Cha PC, Tsuji S, Tsunoda T, Kubo M, Sugano S, Matsumoto N, and Toda T. Exome Association study and SNP-GWAS of Parkinson’s disease. The 11th International workshop on Advanced Genomics, 2015, Tokyo. (O)
20. Shigemizu D, Momozawa Y, Abe T, Morizono T, Boroevich KA, Takata S, Ashikawa K, Kubo M, and Tsunoda T. Performance comparison of four commercial human whole-exome capture platforms. Informatics in Biology, Medicine and Pharmacology, 2015, P13, Kyoto. (P)
19. Shigemizu D, Momozawa Y, Abe T, Morizono T, Boroevich KA, Takata S, Ashikawa K, Kubo M, and Tsunoda T. Performance comparison of four commercial human whole-exome capture platforms. The American Society of Human Genetics, 2015, 1876W, Baltimore, MD, USA. (P)
18. Shigemizu D, Ozaki K, Fujimoto A, Miya F, Akiyama S, Boroevich KA, Abe T, Nakano K, Kochi Y, Satake W, Toda T, Aiba T, Miyamoto Y, Shimizu W, Nakagawa H, Tsunoda T, and Tanaka T. Exome sequencing of 35 Japanese families with Long QT syndrome reveals candidate pathogenic mutations in calmodulin-interacting genes. The Japan Society of Human Genetics, 2014, 1BO-3, Funabashi. (O, 大会賞候補)
17. Satake W, Shigemizu D, Suzuki Y, Yamamoto K, Tomiyama H, Takahashi A, Murata M, Hattori N, Tanaka T, Tsunoda T, Kubo M, Tsuji S, Matsumoto N, Sugano S, and Toda T. Exome association study and 2nd SNP-GWAS of Parkinson's disease. The Japan Society of Human Genetics, 2014, 3O8-5, Funabashi. (O)
16. Satake W, Shigemizu D, Suzuki Y, Yamamoto K, Tomiyama H, Yamamoto M, Murata M, Hattori N, Tsunoda T, Kubo M, Tsuji S, Nakamura Y, Sugano S, and Toda T. Exome association study and 2nd SNP-GWAS of Parkinson's disease. The American Society of Human Genetics, 2014, 1232M, San Diego, CA, USA. (P)
15. Shigemizu D, Fujimoto A, Akiyama S, Abe T, Nakano K, Boroevich KA, Yamamoto Y, Furuta M, Kubo M, Nakagawa H, and Tsunoda T. A practical method to detect SNVs and indels from whole genome and exome sequencing data and an importance of in-house data for variant filtering. The American Society of Human Genetics, 2014, 1574T, San Diego, CA, USA. (P)
14. Fujimoto A, Furuta M, Shiraishi Y, Nguyen HH, Shigemizu D, Gotoh K, Kawakami Y, Nakamura T, Ueno M, Arizumi S, Shibata T, Ojima H, Shimada K, Hayami S, Shigekawa Y, Aikata H, Arihiro K, Ohdan H, Marubashi S, Yamada T, Ishikawa O, Kubo M, Hirano S, Yamamoto M, Yamaue H, Chayama K, Miyano S, Tsunoda T, and Nakagawa H. Analysis of mutational landscape and genetic heterogeneity in liver cancer with whole genome sequencing. The American Society of Human Genetics, 2014, 134, San Diego, CA, USA. (O)
13. Shigemizu D, Fujimoto A, Akiyama S, Abe T, Nakano K, Boroevich KA, Kubo M, Nakagawa H, and Tsunoda T. A practical method to detect SNVs and indels from whole genome and exome sequencing data. Biochemistry and Molecular Biology, 2013, P2-0056, Kobe. (P)
12. Shigemizu D, Fujimoto A, Akiyama S, Abe T, Nakano K, Boroevich KA, Kubo M, Nakagawa H, and Tsunoda T. A practical method to detect SNVs and indels from whole genome and exome sequencing data. The Japan Society of Human Genetics, 2013, O20, Sendai. (O)
11. Shigemizu D, Abe T, Morizono T, Johnson TA, Boroevich KA, Kubo M, Nakamura Y, Maeda S, and Tsunoda T. The effect of genetic and interaction factors for risk prediction in type 2 diabetes. Biochemistry and Molecular Biology, 2012, 1P-0033, Fukuoka. (P, O)
10. Shigemizu D, Abe T, Morizono T, Johnson TA, Boroevich KA, Kubo M, Nakamura Y, Maeda S, and Tsunoda T. The effect of genetic and interaction factors for risk prediction in type 2 diabetes. The American Society of Human Genetics, 2012, San Francisco, CA, USA. (P)
9. Takarabe M, Shigemizu D, Kotera M, Goto S, and Kanehisa M. Network-based Analysis and Characterization of Drug Interactions. The 110th ICR Annual Symposium, 2010, Kyoto. (P)
8. Shigemizu D, Araki M, Goto S, and Kanehisa M. Analysis of chemical modification patterns extracted from KEGG DRUG structure maps. 9th International Workshop on Bioinformatics & Systems Biology, 2009, Boston, USA. (O)
7. Shigemizu D, Araki M, Okuda S, Goto S, and Kanehisa M. Extraction of the drug modification patterns from the KEGG DRUG database. 21st COE program - Symposium on Bioinformatics and Chemical Genomics, 2007, P-30, Kyoto. (P)
6. Shigemizu D, Araki M, Okuda S, Goto S, and Kanehisa M. Extraction of the drug design library from the KEGG DRUG database. 21st COE program Working Committee of Open International Symposium, 2007, O-01, Kyoto. (O)
5. Shigemizu D, Araki M, Okuda S, Goto S, and Kanehisa M. Extraction of chemical modification patterns based on KEGG DRUG structure map. Biochemistry and Molecular Biology, 2007, 4P-1203, Yokohama. (P)
4. Shigemizu D, Okuda S, Araki M, Goto S, and Kanehisa M. Construction of the drug substructure library from the KEGG DRUG database. 6th International Workshop on Bioinformatics & Systems Biology, 2006, Boston, USA. (P)
3. Shigemizu D, Okuda S, Yoshizawa A, Ito M, Hattori M, Goto S, and Kanehisa M. Association analysis of alternative splicing and the protein function variations. The 28th Annual Meeting of the Molecular Biology Society of Japan, 2005, 2P-0765, Fukuoka. (P)
2. Maruyama O, and Shigemizu D. Searching for Regulatory Elements of Alternative Splicing Using Phylogenetic Footprinting. 13th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), 2005, D-34, Michigan, USA. (P)
1. Shigemizu D, and Maruyama O. Searching for Regulatory Elements of Alternative Splicing Using Phylogenetic Footprinting. ALGO 2004 Symposium and Workshops, 2004, Bergen, Norway. (O)