Clinical and genetic analyses in syndromic intellectual disability with primary microcephaly reveal biallelic and de novo variants in patients with parental consanguinity


Mercan S., Akcakaya N. H., Salman B., Yapici Z., ÖZBEK U., UĞUR İŞERİ S. A.

Genes and Genomics, cilt.45, sa.1, ss.13-21, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 45 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s13258-022-01344-8
  • Dergi Adı: Genes and Genomics
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database
  • Sayfa Sayıları: ss.13-21
  • Anahtar Kelimeler: AP4M1, Exome sequencing (ES), Intellectual disability, Microcephaly, Parent of origin effect, SOX11, TRIO, WDR62
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Hayır

Özet

Background: Syndromic intellectual disability (ID) with accompanying primary microcephaly is a group of rare neurodevelopmental disorders exhibiting extreme genetic and clinical heterogeneity. This layered heterogeneity can partially be resolved by unbiased genetic approaches targeting the genome with next generation sequencing (NGS) technologies, including exome sequencing (ES). Objective: This study was performed to dissect the clinical and genetic features in five distinct IDM cases. Methods: Singleton or trio ES approach followed by in-depth variant analysis using alternative inheritance models was performed. Results: We have identified biallelic loss of function variants in genes WDR62 and AP4M1 in three families, together with de novo missense variants in genes SOX11 and TRIO in two families. ES based haplotype analysis in two cases upon identification of an identical WDR62 variant in the homozygous state in two cases was suggestive of a small shared haplotype of 0.1 Mb. Additionally, we have shown a paternal origin for the de novo variant in TRIO via a polymorphic tag SNP, which enlightens the mutational mechanism for this variant. Conclusion: In populations with high parental consanguinity, an autosomal recessive inheritance pattern for data analysis is usually the most obvious choice. Therefore, heterozygous variants may be overlooked in standard NGS analyses in consanguineous families. Our findings underlie the importance of using multiple inheritance models in NGS data analysis.