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Xu J, Jin L, Chen J, Zhang R, Zhang H, Li Y, Peng D, Gu Y, Wheeler MB, Hu C. Common variants in genes involved in islet amyloid polypeptide (IAPP) processing and the degradation pathway are associated with T2DM risk: A Chinese population study. Diabetes Res Clin Pract 2022; 185:109235. [PMID: 35131375 DOI: 10.1016/j.diabres.2022.109235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 01/22/2022] [Accepted: 01/31/2022] [Indexed: 11/28/2022]
Abstract
AIM To explore the genetic effects of SLC30A8, IAPP, PCSK1, PCSK2, CPE, PAM and IDE, key genes involved in IAPP processing and degradation pathway on T2DM risk and metabolic traits in Chinese population. METHODS Common variants were genotyped in 10936 Chinese subjects by Asian Screening Array and Multi-Ethnic Global Array. Associations of SNPs with occurrences of T2DM and related traits were evaluated through logistic and multiple linear regression. Genetic risk score (GRS) model was constructed based on 6 T2DM-variants, and its relationship with T2DM and related traits was assessed. RESULTS SLC30A8-rs13266634, PCSK1-rs155980, PCSK2-rs6136035, CPE-rs532192464, PAM-rs7716941, and IDE-rs117929184 were the top SNPs significantly associated with T2DM after adjusting for age, sex, and BMI, associated with blood glucose level, insulin secretion, and insulin sensitivity (all FDR p < 0.05). GRS calculated based on the above SNPs was remarkably correlated with T2DM, blood glucose, and insulin secretion. Furthermore, there was a significant interaction between SLC30A8 and IAPP in patients with T2DM (P = 0.0083). CONCLUSION Our study showed that common variants in genes involved in IAPP processing and the degradation pathway were associated with T2DM in Chinese population. Subjects with high GRS exhibited poorer glucose metabolism and insulin secretion.
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Affiliation(s)
- Jie Xu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Department of Physiology, 1 King's College Circle, University of Toronto, Toronto, Ontario M5S4L5, Canada
| | - Li Jin
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China
| | - Jie Chen
- Department of Clinical Laboratory, Shanghai Xuhui Central Hospital, Shanghai 200020, China
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China
| | - Hong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China
| | - Yangyang Li
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China
| | - Danfeng Peng
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China
| | - Yunjuan Gu
- Department of Endocrinology, Affiliated Hospital of Nantong University, 20 Xisi Road, Nantong, Jiangsu 226001, China.
| | - Michael B Wheeler
- Department of Physiology, 1 King's College Circle, University of Toronto, Toronto, Ontario M5S4L5, Canada.
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China; Institute for Metabolic Disease, Fengxian Central Hospital Affiliated to Southern Medical University, Shanghai 201499, China.
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Zee RYL, Pulido-Perez P, Perez-Fuentes R, Ridker PM, Chasman DI, Romero JR. Islet amyloid polypeptide gene variation (IAPP) and the risk of incident type 2 diabetes mellitus: the Women's Genome Health Study. Clin Chim Acta 2011; 412:785-7. [PMID: 21219896 DOI: 10.1016/j.cca.2010.12.040] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2010] [Revised: 12/29/2010] [Accepted: 12/30/2010] [Indexed: 11/30/2022]
Abstract
BACKGROUND Islet amyloid polypeptide (IAPP) gene variation has recently been implicated in type 2 diabetes mellitus (T2D). However, to date, no prospective epidemiological data are available. METHODS The association between 10 IAPP tag-single nucleotide polymorphisms (tSNPs) and incident T2D was investigated in 22,715 Caucasian participants of the prospective Women's Genome Health Study. All were free of known cardiovascular disease, cancer, and diabetes at baseline. During a 13-year follow-up period, 1445 participants developed an incident T2D. Multivariable Cox regression analysis was performed to investigate the relationship between genotypes and T2D risk. Haplotype-based analysis was also performed. RESULTS No evidence for an association of any of the tSNPs tested or haplotypes thereof with T2D risk. CONCLUSIONS If corroborated in other large, prospective studies, the present findings further suggest that the IAPP gene locus may not be useful predictor for T2D risk assessment.
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Affiliation(s)
- Robert Y L Zee
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA.
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