Computational Prediction of Position Effects of Apparently Balanced Human Chromosomal Rearrangements

Am J Hum Genet. 2017 Aug 3;101(2):206-217. doi: 10.1016/j.ajhg.2017.06.011. Epub 2017 Jul 20.

Abstract

Interpretation of variants of uncertain significance, especially chromosomal rearrangements in non-coding regions of the human genome, remains one of the biggest challenges in modern molecular diagnosis. To improve our understanding and interpretation of such variants, we used high-resolution three-dimensional chromosomal structural data and transcriptional regulatory information to predict position effects and their association with pathogenic phenotypes in 17 subjects with apparently balanced chromosomal abnormalities. We found that the rearrangements predict disruption of long-range chromatin interactions between several enhancers and genes whose annotated clinical features are strongly associated with the subjects' phenotypes. We confirm gene-expression changes for a couple of candidate genes to exemplify the utility of our analysis of position effect. These results highlight the important interplay between chromosomal structure and disease and demonstrate the need to utilize chromatin conformational data for the prediction of position effects in the clinical interpretation of non-coding chromosomal rearrangements.

Keywords: HPO; balanced chromosomal rearrangement; chromatin conformation; chromosomal rearrangement; chromosomal translocation; clinical genetics; cytogenetics; diagnosis; distal effect; long-range effect.

MeSH terms

  • Chromosomal Position Effects / genetics*
  • Chromosome Breakpoints
  • Chromosome Mapping*
  • Chromosomes, Human / genetics*
  • Gene Expression Regulation / genetics
  • Gene Rearrangement / genetics*
  • Genetic Predisposition to Disease / genetics*
  • Genetic Variation / genetics
  • Genome, Human / genetics*
  • Humans
  • In Situ Hybridization, Fluorescence
  • Karyotype
  • Phenotype
  • Translocation, Genetic / genetics