| Title |
Association of genetic and non-genetic risk factors with the development of prostate cancer in Malaysian men
|
|---|---|
| Published in |
Molecular Biology Reports, January 2014
|
| DOI | 10.1007/s11033-014-3107-8 |
| Pubmed ID | |
| Authors |
Khamsigan Munretnam, Livy Alex, Nurul Hanis Ramzi, Jagdish Kaur Chahil, I. S. Kavitha, Nikman Adli Nor Hashim, Say Hean Lye, Sharmila Velapasamy, Lian Wee Ler |
| Abstract |
There is growing global interest to stratify men into different levels of risk to developing prostate cancer, thus it is important to identify common genetic variants that confer the risk. Although many studies have identified more than a dozen common genetic variants which are highly associated with prostate cancer, none have been done in Malaysian population. To determine the association of such variants in Malaysian men with prostate cancer, we evaluated a panel of 768 SNPs found previously associated with various cancers which also included the prostate specific SNPs in a population based case control study (51 case subjects with prostate cancer and 51 control subjects) in Malaysian men of Malay, Chinese and Indian ethnicity. We identified 21 SNPs significantly associated with prostate cancer. Among these, 12 SNPs were strongly associated with increased risk of prostate cancer while remaining nine SNPs were associated with reduced risk. However, data analysis based on ethnic stratification led to only five SNPs in Malays and 3 SNPs in Chinese which remained significant. This could be due to small sample size in each ethnic group. Significant non-genetic risk factors were also identified for their association with prostate cancer. Our study is the first to investigate the involvement of multiple variants towards susceptibility for PC in Malaysian men using genotyping approach. Identified SNPs and non-genetic risk factors have a significant association with prostate cancer. |
X Demographics
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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 26% |
| Lecturer | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Student > Doctoral Student | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Medicine and Dentistry | 4 | 21% |
| Environmental Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Earth and Planetary Sciences | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 5 | 26% |
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 15 September 2014.
All research outputs
#15,305,567
of 22,763,032 outputs
Outputs from Molecular Biology Reports
#1,115
of 2,894 outputs
Outputs of similar age
#188,488
of 305,066 outputs
Outputs of similar age from Molecular Biology Reports
#37
of 78 outputs
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