SNPs of Metabolic Syndrome are Associated with Benign Prostatic Hyperplasia Development and Progression in Chinese Population

Author(s): Ding Xu, Xiaoling Lin, Xiaoqiang Qian*, Jun Qi*

Journal Name: Current Bioinformatics

Volume 16 , Issue 7 , 2021


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Abstract:

Objective: Benign prostatic hyperplasia (BPH) is a common disease prevalent in elderly men, but the genetic determinants of BPH still remain unclear. Since metabolic syndrome, especially diabetes, may influence the progression of benign prostatic hyperplasia, we investigated whether susceptibility loci for diabetes would increase the risk of BPH development and progression in elderly Chinese men.

Material and Methods: Fifteen SNPs associated with the diabetes risk in a Chinese population were genotyped in 377 BPH cases (152 aggressive and 225 non-aggressive BPH cases) and 1,008 controls. The association between the SNPs and the risk of BPH development was evaluated through logistic regression. Additionally, the effects of the 15 SNPs on BPH related clinical parameters, including body mass index (BMI) International Prostate Symptom Score (IPSS), Quality of Life (QoL) and prostate volume (PV) were also evaluated.

Results: SNP rs9864104 in IGF2BP2 at 3q27 (OR=1.24, P =0.0148) was significantly associated with BPH development. In addition, SNP rs9863780, rs9864104, rs10229583 and rs17727841 were significantly associated with baseline clinical parameters in BPH patients. Moreover, the risk allele of rs6763887 (C) and rs17727841 (C) was significantly associated with the change of storage score and voiding score after treatment. No SNPs were associated with the risk of BPH progression

Conclusion: This is a systematic investigation of the contributions of diabetes susceptibility loci to the risk of BPH development and progression. Our findings advance the understanding of the genetic basis of BPH and provide new insights into the genetic determinants shared between BPH and metabolic syndrome.

Keywords: benign prostatic hyperplasia, metabolic syndrome, development, progression, single nucleotide polymorphism, Chinese population.

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Article Details

VOLUME: 16
ISSUE: 7
Year: 2021
Page: [901 - 908]
Pages: 8
DOI: 10.2174/1574893615999200626144048
Price: $95

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