| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Wu, Chaoneng Gong, Yunguo Yuan, Jie Gong, Hui Zou, Yunzeng Ge, Junbo |
| Abstract | Type 2 diabetes (2DM), obesity, and coronary artery disease (CAD) are frequently coexisted being as key components of metabolic syndrome. Whether there is shared genetic background underlying these diseases remained unclear. We performed a meta-analysis of 35 genome screens for 2DM, 36 for obesity or body mass index (BMI)-defined obesity, and 21 for CAD using genome search meta-analysis (GSMA), which combines linkage results to identify regions with only weak evidence and provide genetic interactions among different diseases. For each study, 120 genomic bins of approximately 30 cM were defined and ranked according to the best linkage evidence within each bin. For each disease, bin 6.2 achieved genomic significanct evidence, and bin 9.3, 10.5, 16.3 reached suggestive level for 2DM. Bin 11.2 and 16.3, and bin 10.5 and 9.3, reached suggestive evidence for obesity and CAD respectively. In pooled all three diseases, bin 9.3 and 6.5 reached genomic significant and suggestive evidence respectively, being relatively much weaker for 2DM/CAD or 2DM/obesity or CAD/obesity. Further, genomewide significant evidence was observed of bin 16.3 and 4.5 for 2DM/obesity, which is decreased when CAD was added. These findings indicated that bin 9.3 and 6.5 are most likely to be shared by 2DM, obesity and CAD. And bin 16.3 and 4.5 are potentially common regions to 2DM and obesity only. The observed shared susceptibility regions imply a partly overlapping genetic aspects of disease development. Fine scanning of these regions will definitely identify more susceptibility genes and causal variants. |
| Related Links | https://cardiab.biomedcentral.com/counter/pdf/10.1186/1475-2840-11-68.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14752840 |
| DOI | 10.1186/1475-2840-11-68 |
| Journal | Cardiovascular Diabetology |
| Issue Number | 1 |
| Volume Number | 11 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2012-06-14 |
| Access Restriction | Open |
| Subject Keyword | Diabetes Angiology Cardiology Meta-analysis Type 2 diabetes Obesity Coronary artery disease Genome-wide association study |
| Content Type | Text |
| Resource Type | Review |
| Subject | Cardiology and Cardiovascular Medicine Internal Medicine Endocrinology, Diabetes and Metabolism |
| Journal Impact Factor | 8.5/2023 |
| 5-Year Journal Impact Factor | 8.9/2023 |
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