scholarly journals Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

2012 ◽  
Vol 44 (9) ◽  
pp. 981-990 ◽  
Author(s):  
Keyword(s):  
Type 2 Diabetes ◽  
Association Analysis ◽  
Genetic Architecture ◽  
Large Scale

scholarly journals Shared genetic architecture and casual relationship between leptin levels and type 2 diabetes: large-scale cross-trait meta-analysis and Mendelian randomization analysis

2020 ◽  
Vol 8 (1) ◽  
pp. e001140
Author(s):  
Xinpei Wang ◽  
Jinzhu Jia ◽  
Tao Huang
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Correlation ◽  
Genetic Architecture ◽  
Large Scale ◽  
Meta Analysis ◽  
Genetic Correlations ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Shared Genetic

ObjectiveWe aimed to estimate genetic correlation, identify shared loci and test causality between leptin levels and type 2 diabetes (T2D).Research design and methodsOur study consists of three parts. First, we calculated the genetic correlation of leptin levels and T2D or glycemic traits by using linkage disequilibrium score regression analysis. Second, we conducted a large-scale genome-wide cross-trait meta-analysis using cross-phenotype association to identify shared loci between trait pairs that showed significant genetic correlations in the first part. In the end, we carried out a bidirectional MR analysis to find out whether there is a causal relationship between leptin levels and T2D or glycemic traits.ResultsWe found positive genetic correlations between leptin levels and T2D (Rg=0.3165, p=0.0227), fasting insulin (FI) (Rg=0.517, p=0.0076), homeostasis model assessment-insulin resistance (HOMA-IR) (Rg=0.4785, p=0.0196), as well as surrogate estimates of β-cell function (HOMA-β) (Rg=0.4456, p=0.0214). We identified 12 shared loci between leptin levels and T2D, 1 locus between leptin levels and FI, 1 locus between leptin levels and HOMA-IR, and 1 locus between leptin levels and HOMA-β. We newly identified eight loci that did not achieve genome-wide significance in trait-specific genome-wide association studies. These shared genes were enriched in pancreas, thyroid gland, skeletal muscle, placenta, liver and cerebral cortex. In addition, we found that 1-SD increase in HOMA-IR was causally associated with a 0.329 ng/mL increase in leptin levels (β=0.329, p=0.001).ConclusionsOur results have shown the shared genetic architecture between leptin levels and T2D and found causality of HOMA-IR on leptin levels, shedding light on the molecular mechanisms underlying the association between leptin levels and T2D.

scholarly journals Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

2010 ◽  
Vol 42 (7) ◽  
pp. 579-589 ◽  
Author(s):  
Benjamin F Voight ◽  
◽  
Laura J Scott ◽  
Valgerdur Steinthorsdottir ◽  
Andrew P Morris ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Association Analysis ◽  
Large Scale ◽  
Susceptibility Loci ◽  
Diabetes Susceptibility

scholarly journals Erratum: Corrigendum: Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

2011 ◽  
Vol 43 (4) ◽  
pp. 388-388 ◽  
Author(s):  
Benjamin F Voight ◽  
◽  
Laura J Scott ◽  
Valgerdur Steinthorsdottir ◽  
Andrew P Morris ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Association Analysis ◽  
Large Scale ◽  
Susceptibility Loci ◽  
Diabetes Susceptibility

scholarly journals A Large-Scale Association Analysis of Common Variation of the HNF1  Gene With Type 2 Diabetes in the U.K. Caucasian Population

Diabetes ◽  
2005 ◽  
Vol 54 (8) ◽  
pp. 2487-2491 ◽  
Author(s):  
M. N. Weedon ◽  
K. R. Owen ◽  
B. Shields ◽  
G. Hitman ◽  
M. Walker ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Association Analysis ◽  
Large Scale ◽  
Caucasian Population ◽  
Common Variation

scholarly journals Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes

2010 ◽  
Vol 11 (1) ◽  
Author(s):  
Vesna Boraska ◽  
Nigel W Rayner ◽  
Christopher J Groves ◽  
Timothy M Frayling ◽  
Mahamadou Diakite ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Association Analysis ◽  
Large Scale ◽  
Gene Region

Large-Scale Cross-Sectional Study of the Problem Areas in Diabetes Survey among Japanese Patients with Type 2 Diabetes Mellitus

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Large Scale ◽  
Japanese Patients ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetes Survey

The Genetic Architecture of Type 2 Diabetes Pharmacotherapy: The Emerging Genomic Evidence

2014 ◽  
Vol 20 (22) ◽  
pp. 3610-3619 ◽  
Author(s):  
F.K. Kavvoura ◽  
M. Pappa ◽  
E. Evangelou ◽  
E.E. Ntzani
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Architecture

scholarly journals Improving the management of type 2 diabetes through large-scale general practice: the role of a data-driven and technology-enabled education programme

2021 ◽  
Vol 10 (1) ◽  
pp. e001087
Author(s):  
Tarek F Radwan ◽  
Yvette Agyako ◽  
Alireza Ettefaghian ◽  
Tahira Kamran ◽  
Omar Din ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Large Scale ◽  
Education Programme ◽  
Educational Programme ◽  
Data Driven ◽  
Treatment Targets ◽  
Care Processes ◽  
Data Driven Approach

A quality improvement (QI) scheme was launched in 2017, covering a large group of 25 general practices working with a deprived registered population. The aim was to improve the measurable quality of care in a population where type 2 diabetes (T2D) care had previously proved challenging. A complex set of QI interventions were co-designed by a team of primary care clinicians and educationalists and managers. These interventions included organisation-wide goal setting, using a data-driven approach, ensuring staff engagement, implementing an educational programme for pharmacists, facilitating web-based QI learning at-scale and using methods which ensured sustainability. This programme was used to optimise the management of T2D through improving the eight care processes and three treatment targets which form part of the annual national diabetes audit for patients with T2D. With the implemented improvement interventions, there was significant improvement in all care processes and all treatment targets for patients with diabetes. Achievement of all the eight care processes improved by 46.0% (p<0.001) while achievement of all three treatment targets improved by 13.5% (p<0.001). The QI programme provides an example of a data-driven large-scale multicomponent intervention delivered in primary care in ethnically diverse and socially deprived areas.

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