Heritability and genome-wide association study of benign prostatic hyperplasia (BPH) in the eMERGE network

Sci Rep. 2019 Apr 15;9(1):6077. doi: 10.1038/s41598-019-42427-z.

Abstract

Benign prostatic hyperplasia (BPH) results in a significant public health burden due to the morbidity caused by the disease and many of the available remedies. As much as 70% of men over 70 will develop BPH. Few studies have been conducted to discover the genetic determinants of BPH risk. Understanding the biological basis for this condition may provide necessary insight for development of novel pharmaceutical therapies or risk prediction. We have evaluated SNP-based heritability of BPH in two cohorts and conducted a genome-wide association study (GWAS) of BPH risk using 2,656 cases and 7,763 controls identified from the Electronic Medical Records and Genomics (eMERGE) network. SNP-based heritability estimates suggest that roughly 60% of the phenotypic variation in BPH is accounted for by genetic factors. We used logistic regression to model BPH risk as a function of principal components of ancestry, age, and imputed genotype data, with meta-analysis performed using METAL. The top result was on chromosome 22 in SYN3 at rs2710383 (p-value = 4.6 × 10-7; Odds Ratio = 0.69, 95% confidence interval = 0.55-0.83). Other suggestive signals were near genes GLGC, UNCA13, SORCS1 and between BTBD3 and SPTLC3. We also evaluated genetically-predicted gene expression in prostate tissue. The most significant result was with increasing predicted expression of ETV4 (chr17; p-value = 0.0015). Overexpression of this gene has been associated with poor prognosis in prostate cancer. In conclusion, although there were no genome-wide significant variants identified for BPH susceptibility, we present evidence supporting the heritability of this phenotype, have identified suggestive signals, and evaluated the association between BPH and genetically-predicted gene expression in prostate.

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Aged, 80 and over
  • Biomarkers / metabolism
  • Case-Control Studies
  • Electronic Health Records / statistics & numerical data
  • Gene Expression Profiling
  • Genetic Predisposition to Disease*
  • Genome-Wide Association Study
  • Genotyping Techniques
  • Humans
  • Inheritance Patterns*
  • Male
  • Middle Aged
  • Polymorphism, Single Nucleotide
  • Prostate / pathology
  • Prostatic Hyperplasia / epidemiology
  • Prostatic Hyperplasia / genetics*
  • Prostatic Hyperplasia / pathology

Substances

  • Biomarkers