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A comparative analysis of genetic diversity of candidate genes associated with type 2 diabetes in worldwide populations.
Gong, Xian; Zhang, Chao; Yiliyasi·Aisa, Yiliyasi·Aisa; Shi, Ying; Yang, Xue-wei; NuersimanguliAosiman, NuersimanguliAosiman; Guan, Ya-qun; Xu, Shu-hua.
Afiliación
  • Gong X; 1. Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, Urumqi 830000, China; 2. Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biol
  • Zhang C; 2. Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China; 3. University of Chinese A
  • Yiliyasi·Aisa Y; Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, Urumqi 830000, China.
  • Shi Y; Clinical laboratory of The First Affiliated Hospital, Xinjiang Medical University, Urumqi 830000, China.
  • Yang XW; Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, Urumqi 830000, China.
  • NuersimanguliAosiman N; Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, Urumqi 830000, China.
  • Guan YQ; Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, Urumqi 830000, China.
  • Xu SH; 2. University of Chinese Academy of Sciences, Beijing 100049, China; 3. School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; 5. School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; 6. Collaborative Innovation Center of Genetics an
Yi Chuan ; 38(6): 543-559, 2016 06 20.
Article en En | MEDLINE | ID: mdl-27655316
ABSTRACT
Over the last decade, a larger number of type 2 diabetes mellitus (T2DM) susceptible candidate genes have been reported by numerous genome-wide association studies (GWAS). Understanding the genetic diversity of these candidate genes among worldwide populations not only facilitates to elucidating the genetic mechanism of T2DM, but also provides guidance to further studies of pathogenesis of T2DM in any certain population. In this study, we identified 170 genes or genomic regions associated with T2DM by searching the GWAS databases and related literatures. We next analyzed the genetic diversity of these genes (or genomic regions) among present-day human populations by curetting the 1000 Genomes Projects phase1 dataset covering 14 worldwide populations. We further compared the characteristics of T2DM genes in different populations. No significant differences of genetic diversity were observed among the 14 worldwide populations between the T2DM candidate genes and the non-T2DM genes in terms of overall pattern. However, we observed some genes, such as IL20RA, RNMTL1-NXN, NOTCH2, ADRA2A-BTBD7P2, TBC1D4, RBM38-HMGB1P1, UBE2E2, and PPARD, show considerable differentiation between populations. In particular, IL20RA (FST=0.1521) displays the greatest population difference which is mainly contributed by that between Africans and non-Africans. Moreover, we revealed genetic differences between East Asians and Europeans on some candidate genes such as DGKB-AGMO (FST=0.173) and JAZF1 (FST=0.182). Our results indicate that some T2DM susceptible candidate genes harbor highly-differentiated variants between populations. These analyses, despite preliminary, should advance our understanding of the population difference of susceptibility to T2DM and provide insightful reference that future studies can relay on.
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Banco de datos: MEDLINE Asunto principal: Variación Genética / Predisposición Genética a la Enfermedad / Diabetes Mellitus Tipo 2 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa / Europa Idioma: En Revista: Yi Chuan Asunto de la revista: GENETICA Año: 2016 Tipo del documento: Article
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Banco de datos: MEDLINE Asunto principal: Variación Genética / Predisposición Genética a la Enfermedad / Diabetes Mellitus Tipo 2 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa / Europa Idioma: En Revista: Yi Chuan Asunto de la revista: GENETICA Año: 2016 Tipo del documento: Article