scholarly journals Association of puberty timing with Type 2 diabetes: Systematic review and meta-analysis

2019 ◽  
Author(s):  
Tuck Seng Cheng ◽  
Felix R. Day ◽  
Rajalakshmi Lakshman ◽  
Ken K. Ong
Keyword(s):  
Type 2 Diabetes ◽  
Meta Analysis ◽  
Population Attributable Risk ◽  
Age At Menarche ◽  
Potential Contribution ◽  
Early Menarche ◽  
Published Evidence ◽  
Design And Methods ◽  
Sexual Characteristic

OBJECTIVEWe aimed to systematically review published evidence on the association between puberty timing and Type 2 diabetes or impaired glucose tolerance (T2D/IGT), with and without adjustment for adiposity, and to estimate its potential contribution to the burden of T2D.RESEARCH DESIGN AND METHODSWe searched PubMed, Medline and Embase databases for publications until February 2019 on the timing of any secondary sexual characteristic in boys or girls in relation to T2D/IGT. Inverse-weighted random-effects meta-analysis was used to pool reported estimates and meta-regression to explore sources of heterogeneity.RESULTSTwenty eight observational studies were identified. All assessed age at menarche (AAM) in women (combined N=1,228,306); only one study additionally included men. In models without adjustment for adult adiposity, T2D/IGT risk was higher per year earlier AAM (relative risk (RR)=0.91, 95% confidence interval (CI)=0.89-0.93, 11 estimates, n=833,529, I2=85.4%) and for early versus later menarche (RR=1.41, 95% CI=1.28-1.55, 23 estimates, n=1,185,444, I2=87.8%). Associations were weaker but still evident in models adjusted for adiposity (AAM: RR=0.97 per year, 95% CI=0.95-0.98, 12 estimates, n=852,268, I2=51.8%; early menarche: RR=1.19, 95% CI=1.11-1.28, 21 estimates, n=890,583, I2=68.1%). Associations were stronger among Caucasians than Asians, and in populations with earlier average AAM. The estimated population attributable risk of T2D in UK Caucasians due to early menarche, unadjusted and adjusted for adiposity, was 12.6% (95% CI=11.0-14.3) and 5.1% (95% CI=3.6-6.7), respectively.CONCLUSIONSA substantial proportion of T2D in women is attributable to early menarche timing. This will increase in light of global secular trends towards earlier puberty timing.

scholarly journals TheType 2 Deiodinase Thr92Ala PolymorphismIs Associated with Worse Glycemic Control in Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Xiaowen Zhang ◽  
Jie Sun ◽  
Wenqing Han ◽  
Yaqiu Jiang ◽  
Shiqiao Peng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Meta Analysis ◽  
Increased Risk ◽  
Design And Methods ◽  
Hba1c Levels

Objective. Type 2 deiodinase (Dio2) is an enzyme responsible for the conversion of T4 to T3. The Thr92Ala polymorphism has been shown related to an increased risk for developing type 2 diabetes mellitus (T2DM). The aim of this study is to assess the association between this polymorphism and glycemic control in T2DM patients as marked by the HbA1C levels.Design and Methods.The terms “rs225014,” “thr92ala,” “T92A,” or “dio2 a/g” were used to search for eligible studies in the PubMed, Embase, and Cochrane databases and Google Scholar. A systematic review and meta-analysis of studies including both polymorphism testing and glycated hemoglobin (HbA1C) assays were performed.Results. Four studies were selected, totaling 2190 subjects. The pooled mean difference of the studies was 0.48% (95% CI, 0.18–0.77%), indicating that type 2 diabetics homozygous for the Dio2 Thr92Ala polymorphism had higher HbA1C levels.Conclusions. Homozygosity for the Dio2 Thr92Ala polymorphism is associated with higher HbA1C levels in T2DM patients. To confirm this conclusion, more studies of larger populations are needed.

scholarly journals Polygenic Prediction of Type 2 Diabetes in Africa

Diabetes Care ◽  
2022 ◽  
Author(s):  
Tinashe Chikowore ◽  
Kenneth Ekoru ◽  
Marijana Vujkovi ◽  
Dipender Gill ◽  
Fraser Pirie ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
Association Studies ◽  
Meta Analysis ◽  
Risk Scores ◽  
Genome Wide Association Studies ◽  
Data Set ◽  
Control Subjects ◽  
Design And Methods

OBJECTIVE Polygenic prediction of type 2 diabetes (T2D) in continental Africans is adversely affected by the limited number of genome-wide association studies (GWAS) of T2D from Africa and the poor transferability of European-derived polygenic risk scores (PRSs) in diverse ethnicities. We set out to evaluate if African American–, European-, or multiethnic-derived PRSs would improve polygenic prediction in continental Africans. RESEARCH DESIGN AND METHODS Using the PRSice software, ethnic-specific PRSs were computed with weights from the T2D GWAS multiancestry meta-analysis of 228,499 case and 1,178,783 control subjects. The South African Zulu study (n = 1,602 case and 981 control subjects) was used as the target data set. Validation and assessment of the best predictive PRS association with age at diagnosis were conducted in the Africa America Diabetes Mellitus (AADM) study (n = 2,148 case and 2,161 control subjects). RESULTS The discriminatory ability of the African American and multiethnic PRSs was similar. However, the African American–derived PRS was more transferable in all the countries represented in the AADM cohort and predictive of T2D in the country combined analysis compared with the European- and multiethnic-derived scores. Notably, participants in the 10th decile of this PRS had a 3.63-fold greater risk (odds ratio 3.63; 95% CI 2.19–4.03; P = 2.79 × 10−17) per risk allele of developing diabetes and were diagnosed 2.6 years earlier than those in the first decile. CONCLUSIONS African American–derived PRS enhances polygenic prediction of T2D in continental Africans. Improved representation of non-European populations (including Africans) in GWAS promises to provide better tools for precision medicine interventions in T2D.

scholarly journals Polygenic Prediction of Type 2 Diabetes in Africa

2022 ◽  
Author(s):  
Tinashe Chikowore ◽  
Kenneth Ekoru ◽  
Marijana Vujkovic ◽  
Dipender Gill ◽  
Fraser Pirie ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
Association Studies ◽  
Meta Analysis ◽  
Risk Scores ◽  
Genome Wide Association Studies ◽  
Data Set ◽  
Genome Wide ◽  
Design And Methods

<b>Objective. </b>Polygenic prediction of type 2 diabetes in<b> </b>continental Africans is adversely affected by the limited number of genome-wide association studies (GWAS) of type 2 diabetes from Africa and the poor transferability of European derived polygenic risk scores (PRS) in diverse ethnicities. We set out to evaluate if African American, European or multi-ethnic derived PRSs would improve polygenic prediction in continental Africans. <p><b>Research Design and Methods</b>. Using the PRSice software, ethnic-specific PRSs were computed with weights from the type 2 diabetes GWAS multi-ancestry meta-analysis of 228,499 cases and 1,178,783 controls. The South African Zulu study (1602 cases and 981 controls) was used as the target data set. Validation and assessment of the best predictive PRS association with age at diagnosis was done in the Africa America Diabetes Mellitus (AADM) study (2148 cases and 2161 controls).</p> <p> <b>Results. </b>The discriminatory ability of the African American and Multi-ethnic PRS were similar. However<b>, </b>the African American derived PRS was more transferable in all the countries represented in the AADM cohort, and predictive of type 2 diabetes in the country combined analysis compared to the European and multi-ethnic derived scores. Notably, participants in the 10<sup>th</sup> decile of this PRS had a 3.63-fold greater risk (OR 3.63; 95%CI (2.19 - 4.03), p = 2.79 x 10<sup>-17</sup>) per risk allele of developing diabetes and were diagnosed 2.6 years earlier compared to those in the first decile. </p> <p><b>Conclusions </b>African American derived PRS enhances polygenic prediction of type 2 diabetes in continental Africans. Improved representation of non-European populations (including Africans) in GWAS promises to provide better tools for precision medicine interventions in type 2 diabetes.</p>

Systematic review and meta-analysis of age at menarche and risk of type 2 diabetes

2014 ◽  
Vol 51 (4) ◽  
pp. 519-528 ◽  
Author(s):  
Mohsen Janghorbani ◽  
Marjan Mansourian ◽  
Elham Hosseini
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Meta Analysis ◽  
Age At Menarche

scholarly journals Polygenic Prediction of Type 2 Diabetes in Africa

2022 ◽  
Author(s):  
Tinashe Chikowore ◽  
Kenneth Ekoru ◽  
Marijana Vujkovic ◽  
Dipender Gill ◽  
Fraser Pirie ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
Association Studies ◽  
Meta Analysis ◽  
Risk Scores ◽  
Genome Wide Association Studies ◽  
Data Set ◽  
Genome Wide ◽  
Design And Methods

<b>Objective. </b>Polygenic prediction of type 2 diabetes in<b> </b>continental Africans is adversely affected by the limited number of genome-wide association studies (GWAS) of type 2 diabetes from Africa and the poor transferability of European derived polygenic risk scores (PRS) in diverse ethnicities. We set out to evaluate if African American, European or multi-ethnic derived PRSs would improve polygenic prediction in continental Africans. <p><b>Research Design and Methods</b>. Using the PRSice software, ethnic-specific PRSs were computed with weights from the type 2 diabetes GWAS multi-ancestry meta-analysis of 228,499 cases and 1,178,783 controls. The South African Zulu study (1602 cases and 981 controls) was used as the target data set. Validation and assessment of the best predictive PRS association with age at diagnosis was done in the Africa America Diabetes Mellitus (AADM) study (2148 cases and 2161 controls).</p> <p> <b>Results. </b>The discriminatory ability of the African American and Multi-ethnic PRS were similar. However<b>, </b>the African American derived PRS was more transferable in all the countries represented in the AADM cohort, and predictive of type 2 diabetes in the country combined analysis compared to the European and multi-ethnic derived scores. Notably, participants in the 10<sup>th</sup> decile of this PRS had a 3.63-fold greater risk (OR 3.63; 95%CI (2.19 - 4.03), p = 2.79 x 10<sup>-17</sup>) per risk allele of developing diabetes and were diagnosed 2.6 years earlier compared to those in the first decile. </p> <p><b>Conclusions </b>African American derived PRS enhances polygenic prediction of type 2 diabetes in continental Africans. Improved representation of non-European populations (including Africans) in GWAS promises to provide better tools for precision medicine interventions in type 2 diabetes.</p>

Systematic Literature Review and Network Meta-analysis (NMA) of SGLT2i as Monotherapy for Type 2 Diabetes Mellitus (T2DM)

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1159-P
Author(s):  
GLENN M. DAVIES ◽  
ANN MARIE MCNEILL ◽  
ELIZA KRUGER ◽  
STACEY L. KOWAL ◽  
FLAVIA EJZYKOWICZ ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Meta Analysis

Plant-based diet and risk of type 2 diabetes mellitus: a systematic review and meta-analysis

2020 ◽  
pp. 1301-1306
Author(s):  
Arwa Aljabali ◽  
Roaa Maghrabi ◽  
Ahmad Shok ◽  
Ghufran Alshawmali ◽  
Abdullah Alqahtani ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis
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