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Attention Score in Context
| Title |
Association of 4p14 and 6q27 variation with Graves disease: a case–control study and a meta-analysis of available evidence
|
|---|---|
| Published in |
BMC Medical Genomics, May 2017
|
| DOI | 10.1186/s12881-017-0406-7 |
| Pubmed ID | |
| Authors |
Fa-Mei Li, Lin Liu, Li-Nan Pang, Min Shen, Hong-Wen Lu, Xiao-Hong Zhang, Xun Chu, Zhen-ju Song |
| Abstract |
The etiology of the Graves' disease (GD) is largely unknown. However, genetic factors are believed to play a major role. A recent genome-wide association study in a Han Chinese sample collection revealed two new Graves' disease (GD) risk loci within chromosome band 4p14 and 6q27. In this study, we aimed to investigate these associations with Weifang Han Chinese population of Shandong province and perform a meta-analysis of associations with GD. A case-control study was conducted to investigate association of variation within 4p14 and 6q27 to GD susceptibility in Weifang Han Chinese population of Shandong province. SNP rs6832151 at chromosome 4p14 and SNP rs9355610 at chromosome 6q27 was selected for genotyping in 2,382 GD patients and 3,092 unrelated controls. SNP genotyping was performed using TaqMan Real-time PCR technique assays on ABI7900 platform. A meta-analysis was performed with the data obtained in the current sample-set and those available from prior studies. Association analysis revealed both rs6832151 located in 4p14 (odds ratio (OR) = 1.27, P Allelic = 1.48 × 10(-9)) and rs9355610 located in 6q27 (OR = 1.10, P Allelic = 1.04 × 10(-2)) was associated with GD susceptibility. By model of inheritance analysis, we found the recessive model should be preferred (P Recessive = 2.75 × 10(-11)) for rs6832151. The dominant model should be preferred (P Dominant = 7.15 × 10(-3)) for rs9355610, whereas analysis of recessive model showed no significant association (P Recessive = 0.13). Meta-analysis with the data of 10,781 cases and 16,304 controls obtained from present sample-set and those available from prior studies confirmed association of rs6832151 at 4p14 with GD susceptibility using a fixed model (OR = 1.27, 95% CI: 1.22 to 1.32; I(2) = 0%). Meta-analysis with the data of 11,306 cases and 12,756 controls confirmed association of rs9355610 at 6q27 with GD susceptibility using a fixed model (OR = 1.18, 95% CI: 1.13 to 1.22; I(2) = 41.2%). Our findings showed that chromosome 4p14 and 6q27 variants were associated with Graves' disease in Weifang Han Chinese population of Shandong province. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 33% |
| Student > Master | 4 | 27% |
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 27% |
| Nursing and Health Professions | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Mathematics | 1 | 7% |
| Sports and Recreations | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 May 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#286,197
of 326,979 outputs
Outputs of similar age from BMC Medical Genomics
#29
of 35 outputs
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