Advances in the Genetics of Hypertension: The Effect of Rare Variants

Int J Mol Sci. 2018 Feb 28;19(3):688. doi: 10.3390/ijms19030688.

Abstract

Worldwide, hypertension still represents a serious health burden with nine million people dying as a consequence of hypertension-related complications. Essential hypertension is a complex trait supported by multifactorial genetic inheritance together with environmental factors. The heritability of blood pressure (BP) is estimated to be 30-50%. A great effort was made to find genetic variants affecting BP levels through Genome-Wide Association Studies (GWAS). This approach relies on the "common disease-common variant" hypothesis and led to the identification of multiple genetic variants which explain, in aggregate, only 2-3% of the genetic variance of hypertension. Part of the missing genetic information could be caused by variants too rare to be detected by GWAS. The use of exome chips and Next-Generation Sequencing facilitated the discovery of causative variants. Here, we report the advances in the detection of novel rare variants, genes, and/or pathways through the most promising approaches, and the recent statistical tests that have emerged to handle rare variants. We also discuss the need to further support rare novel variants with replication studies within larger consortia and with deeper functional studies to better understand how new genes might improve patient care and the stratification of the response to antihypertensive treatments.

Keywords: blood pressure; burden test; essential hypertension; exome microarray; genome-wide association studies; next-generation sequencing; rare variants; rare-variants association testing; sequence kernel association test.

Publication types

  • Review

MeSH terms

  • Alleles
  • Animals
  • Biomarkers
  • Blood Pressure / genetics
  • Genetic Association Studies*
  • Genetic Predisposition to Disease*
  • Genetic Variation*
  • Genome-Wide Association Study
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Hypertension / genetics*
  • Hypertension / physiopathology
  • Polymorphism, Single Nucleotide

Substances

  • Biomarkers