1p36 deletion syndrome: an update

Valerie K Jordan1, Hitisha P Zaveri2, Daryl A Scott3

  • 1Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA.

Insights

1p36 deletion syndrome, a common condition in newborns, causes varied medical issues. Recent research identifies specific genes on chromosome 1p36 linked to these diverse phenotypes, aiding in understanding the syndrome.

Area of Science:

  • Genetics
  • Human Molecular Genetics
  • Developmental Biology

Background:

  • 1p36 deletion syndrome is the most common terminal deletion disorder, affecting 1 in 5,000 newborns.
  • It presents with significant phenotypic variability, including developmental delay, intellectual disability, seizures, and congenital anomalies.
  • This variability is partly due to genetic heterogeneity within the 1p36 region.

Purpose of the Study:

  • To review recent advances in mapping genes and genomic regions responsible for 1p36 deletion phenotypes.
  • To identify specific genes implicated in the diverse clinical manifestations of 1p36 deletion syndrome.

Main Methods:

  • Review of recent scientific literature on 1p36 deletion syndrome.
  • Analysis of array-based copy number variant data to identify deleted regions.
  • Correlation of specific gene deletions with observed phenotypes.

Main Results:

  • Array-based copy number variant analysis effectively identifies deleted regions on chromosome 1p36.
  • Several genes, including MMP23B, GABRD, SKI, PRDM16, KCNAB2, RERE, UBE4B, CASZ1, PDPN, SPEN, ECE1, HSPG2, and LUZP1, are implicated in specific 1p36 deletion phenotypes.
  • Phenotypic prediction based solely on deletion extent remains challenging due to unidentified genes and potential multi-gene effects.

Conclusions:

  • Identifying genes within the 1p36 region is crucial for understanding the phenotypic variability of 1p36 deletion syndrome.
  • Further research is needed to fully elucidate the genotype-phenotype correlations and identify all contributing genes.
  • Advances in genetic analysis are improving our understanding of this complex chromosomal disorder.