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Identification of three genetic variants as novel susceptibility loci for body mass index in a Japanese population
http://hdl.handle.net/2241/00151762
http://hdl.handle.net/2241/001517622a297dfe-f718-4970-862f-21543717caca
名前 / ファイル | ライセンス | アクション |
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PR_50-3 (265.8 kB)
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Item type | Journal Article(1) | |||||
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公開日 | 2018-05-22 | |||||
タイトル | ||||||
タイトル | Identification of three genetic variants as novel susceptibility loci for body mass index in a Japanese population | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Yasukochi, Yoshiki
× Yasukochi, Yoshiki× Sakuma, Jun× Takeuchi, Ichiro× Kato, Kimihiko× Oguri, Mitsutoshi× Fujimaki, Tetsuo× Horibe, Hideki× Yamada, Yoshiji |
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著者別名 |
佐久間, 淳
× 佐久間, 淳 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Recent genome-wide association studies have identified various obesity or metabolic syndrome (MetS) susceptibility loci. However, most studies were conducted in a cross-sectional manner. To address this gap, we performed a longitudinal exome-wide association study to identify susceptibility loci for obesity and MetS in a Japanese population. We traced clinical data of 6,022 Japanese subjects who had annual health check-ups for several years (mean follow-up period, 5 yr) and genotyped ~244,000 genetic variants. The association of single nucleotide polymorphisms (SNPs) with body mass index (BMI) or the prevalence of obesity and MetS was examined in a generalized estimating equation model. Our longitudinal exome-wide association studies detected 21 BMI- and five MetS-associated SNPs (false discovery rate, FDR <0.01). Among these SNPs, 16 have not been previously implicated as determinants of BMI or MetS. Cross-sectional data for obesity- and MetS-related phenotypes in 7,285 Japanese subjects were examined in a replication study. Among the 16 SNPs, three (rs9491140, rs145848316, and rs7863248) were related to BMI in the replication cohort (P < 0.05). In conclusion, three SNPs [rs9491140 of NKAIN2 (FDR = 0.003, P = 1.9 × 10−5), rs145848316 of KMT2C (FDR = 0.007, P = 4.5 × 10−5), and rs7863248 of AGTPBP1 (FDR = 0.006, P = 4.2 × 10−5)] were newly identified as susceptibility loci for BMI. | |||||
書誌情報 |
Physiological genomics 巻 50, 号 3, p. 179-189, 発行日 2018-03 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1094-8341 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11704248 | |||||
PubMed番号 | ||||||
識別子タイプ | PMID | |||||
関連識別子 | 29341862 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1152/physiolgenomics.00117.2017 | |||||
権利 | ||||||
権利情報 | © 2018 American Physiological Society. All rights reserved. | |||||
権利 | ||||||
権利情報 | Licensed under Creative Commons Attribution CC-BY 4.0 | |||||
著者版フラグ | ||||||
値 | publisher | |||||
出版者 | ||||||
出版者 | American Physiological Society |