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Murai N, Saito N, Nii S, Nishikawa Y, Suzuki A, Kodama E, Iida T, Mikura K, Imai H, Hashizume M, Kigawa Y, Tadokoro R, Sugisawa C, Endo K, Iizaka T, Otsuka F, Ishibashi S, Nagasaka S. Diabetic family history in young Japanese persons with normal glucose tolerance associates with k-means clustering of glucose response to oral glucose load, insulinogenic index and Matsuda index. Metabol Open 2022; 15:100196. [PMID: 35733612 PMCID: PMC9207666 DOI: 10.1016/j.metop.2022.100196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 06/08/2022] [Accepted: 06/09/2022] [Indexed: 11/17/2022] Open
Abstract
Aims The present study aimed to clarify the relationships between diabetic family history (FH), and dysglycemic response to the oral glucose tolerance test (OGTT), insulin secretion, and insulin sensitivity in young Japanese persons with normal glucose tolerance (NGT). Methods We measured plasma glucose (PG) and immunoreactive insulin levels in 1,309 young Japanese persons (age <40 years) with NGT before and at 30, 60, and 120 min during a 75-g OGTT. Dysglycemia during OGTT was analyzed by k-means clustering analysis. Body mass index (BMI), blood pressure (BP), and lipids were measured. Insulin secretion and sensitivity indices were calculated. Results PG levels during OGTT were classified by k-means clustering analysis into three groups with stepwise decreases in glucose tolerance even among individuals with NGT. In these clusters, proportion of males, BMI, BP and frequency of FH were higher, and lipid levels were worse, together with decreasing glucose tolerance. Subjects with a diabetic FH showed increases in PG after glucose loading and decreases in insulinogenic index and Matsuda index. Conclusions Dysglycemic response to OGTT by k-means clustering analysis was associated with FH in young Japanese persons with NGT. FH was also associated with post-loading glucose, insulinogenic index, and Matsuda index.
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Akbarzadeh M, Riahi P, Ramezankhani A, Dehkordi SR, Roudbar MA, Zarkesh M, Guity K, Khalili D, Zahedi AS, Azizi F, Daneshpour MS. Parental Transmission Plays the Major Role in High Aggregation of Type 2 Diabetes in Iranian Families: Tehran Lipid and Glucose Study. Can J Diabetes 2021; 46:60-68. [PMID: 34419346 DOI: 10.1016/j.jcjd.2021.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 04/25/2021] [Accepted: 05/27/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND This study is the first to evaluate familial aggregation, heritability and inheritance mode of type 2 diabetes (T2D) in Tehran Lipid Glucose Study (TLGS) participants as a representative sample of the Iranian population. METHODS From the ongoing family-based TLGS cohort, 13,741 individuals at least 20 years of age (mean ± standard deviation, 39.71±16.56) were assessed. After correcting family structures using genomic information from the Tehran Cardiometabolic Genetic Study, 2,594 constituent pedigrees were constructed. Familial aggregation was assessed based on genealogic index testing, familial intraclass correlation and positive family history. Family-based heritability was checked with 2 linear mixed models, including 2 different random components: the kinship matrix and the genomic relationship matrix. The mode of inheritance of T2D was investigated by complex segregation analysis (CSA). RESULTS Familial aggregation of T2D was significant (p<0.05), and family-based heritability showed a high degree of genetic variation in T2D between individuals at 65% (standard error, 0.034). Within first-degree relatives (parent/offspring and siblings), the likelihood of a parental affect was higher than in siblings (odds ratio, 4.11 vs 1.65). Family history of T2D among first-degree relatives was more noteworthy than for second-degree relatives (odds ratio, 3.84 vs 0.59). CSA revealed that the polygenic model is best to illustrate the mode of inheritance of T2D for TLGS participants. CONCLUSIONS Our findings demonstrate that the heritability of T2D with polygenic mode in the Iranian population is higher than the global average. We also found that T2D is transmitted equally into siblings, with parental affect the leading risk factor. These data suggest that policymakers should change individual-level to family-level prevention.
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Affiliation(s)
- Mahdi Akbarzadeh
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parisa Riahi
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeid Rasekhi Dehkordi
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahmoud Amiri Roudbar
- Department of Animal Science, Safiabad-Dezful Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization, Dezful, Iran
| | - Maryam Zarkesh
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamran Guity
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Asiyeh Sadat Zahedi
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Parveen R, Kumpatla S, Stanson S, Viswanathan V. Gender-specific siblings and women with maternal history of diabetes are at high risk of developing type2 diabetes-a family study from South India. Int J Diabetes Dev Ctries 2020. [DOI: 10.1007/s13410-020-00796-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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Kral BG, Becker DM, Yanek LR, Vaidya D, Mathias RA, Becker LC, Kalyani RR. The relationship of family history and risk of type 2 diabetes differs by ancestry. DIABETES & METABOLISM 2019; 45:261-267. [PMID: 29875064 DOI: 10.1016/j.diabet.2018.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 05/07/2018] [Accepted: 05/14/2018] [Indexed: 01/15/2023]
Abstract
AIM Type 2 diabetes (T2DM) in a first-degree relative is a risk factor for incident diabetes. Americans of African ancestry (AA) have higher rates of T2DM than Americans of European ancestry (EA). Thus, we aimed to determine whether the presence, number and kinship of affected relatives are associated with race-specific T2DM incidence in a prospective study of participants from the Genetic Study of Atherosclerosis Risk (GeneSTAR), who underwent baseline screening including a detailed family history. METHODS Nondiabetic healthy siblings (n=1405) of patients with early-onset coronary artery disease (18-59 years) were enrolled (861 EA and 544 AA) and followed for incident T2DM (mean 14±6 years). RESULTS Baseline age was 46.2±7.3 years and 56% were female. T2DM occurred in 12.3% of EA and 19.1% of AA. Among EA, 32.6% had ≥1 affected first-degree relatives versus 53.1% in AA, P<0.0001. In fully adjusted Cox proportional hazard analyses, any family history was related to incident T2DM in EA (HR=2.53, 95% CI: 1.58-4.06) but not in AA (HR=1.01, 0.67-1.53). The number of affected relatives conferred incremental risk of T2DM in EA with HR=1.82 (1.08-3.06), 4.83 (2.15-10.85) and 8.46 (3.09-23.91) for 1, 2, and ≥3 affected, respectively. In AA only ≥3 affected increased risk (HR=2.45, 1.44-4.19). Specific kinship patterns were associated with incident T2DM in EA but not in AA. CONCLUSIONS The presence of any first-degree relative with T2DM does not discriminate risk in AA given the high race-specific prevalence of diabetes. Accounting for the number of affected relatives may more appropriately estimate risk for incident diabetes in both races.
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Affiliation(s)
- Brian G Kral
- The Johns Hopkins GeneSTAR Research Program, Department of Medicine, The Johns Hopkins Medical Institutions, 1830, East Monument Street, Room 8023, 21287 Baltimore, MD, USA.
| | - Diane M Becker
- The Johns Hopkins GeneSTAR Research Program, Department of Medicine, The Johns Hopkins Medical Institutions, 1830, East Monument Street, Room 8023, 21287 Baltimore, MD, USA
| | - Lisa R Yanek
- The Johns Hopkins GeneSTAR Research Program, Department of Medicine, The Johns Hopkins Medical Institutions, 1830, East Monument Street, Room 8023, 21287 Baltimore, MD, USA
| | - Dhananjay Vaidya
- The Johns Hopkins GeneSTAR Research Program, Department of Medicine, The Johns Hopkins Medical Institutions, 1830, East Monument Street, Room 8023, 21287 Baltimore, MD, USA
| | - Rasika A Mathias
- The Johns Hopkins GeneSTAR Research Program, Department of Medicine, The Johns Hopkins Medical Institutions, 1830, East Monument Street, Room 8023, 21287 Baltimore, MD, USA
| | - Lewis C Becker
- The Johns Hopkins GeneSTAR Research Program, Department of Medicine, The Johns Hopkins Medical Institutions, 1830, East Monument Street, Room 8023, 21287 Baltimore, MD, USA
| | - Rita R Kalyani
- The Johns Hopkins GeneSTAR Research Program, Department of Medicine, The Johns Hopkins Medical Institutions, 1830, East Monument Street, Room 8023, 21287 Baltimore, MD, USA
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