Literature DB >> 30718926

Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population.

Yoichiro Kamatani1,2, Momoko Horikoshi3, Ken Suzuki4,5,6,7, Masato Akiyama5,8, Kazuyoshi Ishigaki5, Masahiro Kanai5,9, Jun Hosoe4, Nobuhiro Shojima4, Atsushi Hozawa10,11, Aya Kadota12,13, Kiyonori Kuriki14, Mariko Naito15,16, Kozo Tanno17,18, Yasushi Ishigaki19,20, Makoto Hirata21, Koichi Matsuda22, Nakao Iwata23, Masashi Ikeda23, Norie Sawada24, Taiki Yamaji24, Motoki Iwasaki24, Shiro Ikegawa25, Shiro Maeda6,26,27, Yoshinori Murakami28, Kenji Wakai15, Shoichiro Tsugane29, Makoto Sasaki30,31, Masayuki Yamamoto10,11, Yukinori Okada5,7,32, Michiaki Kubo33, Toshimasa Yamauchi34, Takashi Kadowaki35,36,37.   

Abstract

To understand the genetics of type 2 diabetes in people of Japanese ancestry, we conducted A meta-analysis of four genome-wide association studies (GWAS; 36,614 cases and 155,150 controls of Japanese ancestry). We identified 88 type 2 diabetes-associated loci (P < 5.0 × 10-8) with 115 independent signals (P < 5.0 × 10-6), of which 28 loci with 30 signals were novel. Twenty-eight missense variants were in linkage disequilibrium (r2 > 0.6) with the lead variants. Among the 28 missense variants, three previously unreported variants had distinct minor allele frequency (MAF) spectra between people of Japanese and European ancestry (MAFJPN > 0.05 versus MAFEUR < 0.01), including missense variants in genes related to pancreatic acinar cells (GP2) and insulin secretion (GLP1R). Transethnic comparisons of the molecular pathways identified from the GWAS results highlight both ethnically shared and heterogeneous effects of a series of pathways on type 2 diabetes (for example, monogenic diabetes and beta cells).

Entities:  

Mesh:

Year:  2019        PMID: 30718926     DOI: 10.1038/s41588-018-0332-4

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  1 in total

1.  The Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study) to detect gene-environment interactions for cancer.

Authors:  Nobuyuki Hamajima
Journal:  Asian Pac J Cancer Prev       Date:  2007 Apr-Jun
  1 in total
  58 in total

Review 1.  Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry.

Authors:  Cassandra N Spracklen; Xueling Sim
Journal:  Curr Diab Rep       Date:  2021-04-13       Impact factor: 4.810

Review 2.  Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations.

Authors:  Lindsay Fernández-Rhodes; Kristin L Young; Adam G Lilly; Laura M Raffield; Heather M Highland; Genevieve L Wojcik; Cary Agler; Shelly-Ann M Love; Samson Okello; Lauren E Petty; Mariaelisa Graff; Jennifer E Below; Kimon Divaris; Kari E North
Journal:  Circ Res       Date:  2020-06-04       Impact factor: 17.367

3.  Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated.

Authors:  Eran Elhaik
Journal:  Sci Rep       Date:  2022-08-29       Impact factor: 4.996

4.  Variants of SLC2A10 may be Linked to Poor Response to Metformin.

Authors:  Elizabeth Paz-Pacheco; Jose B Nevado; Eva Maria C Cutiongco-de la Paz; Gabriel V Jasul; Aimee Yvonne Criselle L Aman; Elizabeth Laurize A Ribaya; Mark David G Francisco; Ma Luz Vicenta V Guanzon; May L Uyking-Naranjo; Ma Cecille S Añonuevo-Cruz; Maria Patricia Deanna D Maningat; Cristina V Jaring; Paulette D Nacpil-Dominguez; Aniza B Pala-Mohamad; Abigail U Canto; John Paul M Quisumbing; Annabelle Marie M Lat; Diane Carla C Bernardo; Noemie Marie M Mansibang; Karell Jo Angelique C Calpito; Vincent Sean D Ribaya; Julius Patrick Y Ferrer; Jessica H Biwang; Jodelyn B Melegrito; Christian Deo T Deguit; Carlos Emmanuel G Panerio
Journal:  J Endocr Soc       Date:  2022-06-29

Review 5.  Multi-omics study for interpretation of genome-wide association study.

Authors:  Masato Akiyama
Journal:  J Hum Genet       Date:  2020-09-18       Impact factor: 3.172

6.  A Bayesian analysis for investigating the association between rs13266634 polymorphism in SLC30A8 gene and type 2 diabetes.

Authors:  Ali Reza Soltanian; Bistoon Hosseini; Hossein Mahjub; Fatemeh Bahreini; Mohammad Ebrahim Ghaffari
Journal:  J Diabetes Metab Disord       Date:  2020-04-02

7.  Comparison of the contributions of impaired beta cell function and insulin resistance to the development of type 2 diabetes in a Japanese community: the Hisayama Study.

Authors:  Masahito Yoshinari; Yoichiro Hirakawa; Jun Hata; Mayu Higashioka; Takanori Honda; Daigo Yoshida; Naoko Mukai; Udai Nakamura; Takanari Kitazono; Toshiharu Ninomiya
Journal:  Diabetologia       Date:  2021-04-28       Impact factor: 10.122

Review 8.  Impacts of Selected Dietary Nutrient Intakes on Skeletal Muscle Insulin Sensitivity and Applications to Early Prevention of Type 2 Diabetes.

Authors:  Xin Zhang; Doudou Xu; Meixia Chen; Yubo Wang; Linjuan He; Lu Wang; Jiangwei Wu; Jingdong Yin
Journal:  Adv Nutr       Date:  2021-07-30       Impact factor: 8.701

9.  Comprehensive efficacy of ipragliflozin on various conditioned type 2 diabetes compared with dipeptidyl peptidase-4 inhibitors and with both agents, based on a real-world multicenter trial.

Authors:  Fumio Sawano; Nozomu Kamei; Mitsue Miyahara; Kyoko Kobuke; Shuhei Nakanishi; Chihiro Nagano; Hideki Nojima; Shusaku Maeda; Hiroshi Watanabe; Rui Kishimoto; Mami Yamashita; Aya Hamaoka; Kana Mukai; Tomoko Tsuboi; Hisayoshi Mochizuki; Reiko Nakashima; Yu Sakashita; Hisaaki Morishita; Tadahiro Kitamura
Journal:  Diabetol Int       Date:  2021-02-11

Review 10.  Celebrities in the heart, strangers in the pancreatic beta cell: Voltage-gated potassium channels Kv 7.1 and Kv 11.1 bridge long QT syndrome with hyperinsulinaemia as well as type 2 diabetes.

Authors:  Anniek F Lubberding; Christian R Juhl; Emil Z Skovhøj; Jørgen K Kanters; Thomas Mandrup-Poulsen; Signe S Torekov
Journal:  Acta Physiol (Oxf)       Date:  2022-01-22       Impact factor: 7.523

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