Congenital heart defects genetic architecture in a small cohort: an integrated approach to prioritizing variants - Summary - MDSpire

Congenital heart defects genetic architecture in a small cohort: an integrated approach to prioritizing variants

  • By

  • Anna V. Korobeinikova

  • Ekaterina S. Petriaikina

  • Dmitry I. Tychinin

  • Vladimir S. Yudin

  • Naida I. Bulaeva

  • Sayaly M. Gyulmamedova

  • Georgy A. Khugaev

  • Tatiana V. Sukhacheva

  • Ekaterina A. Snigir

  • Sergey I. Mitrofanov

  • Antonina M. Rumyantseva

  • Dmitry V. Svetlichnyy

  • Sergey M. Yudin

  • Elena Z. Golukhova

  • Veronika I. Skvortsova

  • July 6, 2026

  • 0 min

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Objective:

To investigate the genetic architecture underlying congenital heart defects (CHD) through whole-genome sequencing in a cohort of patients.

Approach:
  • Whole-Genome Sequencing: Performed on a cohort of 50 patients with echocardiographically confirmed CHD, followed by systematic variant identification and functional annotation.
  • Variant Prioritization: Integrated clinical classifications, genomic data, and tissue-specific expression profiles to identify novel variants and regulatory signals associated with CHD.
Key Findings:
  • Current genomic annotation databases have limited discriminatory capacity for CHD.
  • Stratification of genetic risk assessments by specific CHD subtypes is necessary.
  • Identified novel coding and non-coding variants linked to specific CHD subtypes.
  • CHD subtype-specific genetic associations include JARID2 with PDA, GOSR2/TBX18 with VSD, PCDHA9 with ASD, and a multi-gene signature with atrioventricular septal defects.
  • COL11A2 and PCOLCE2 were identified as plausible candidates for CHD pathogenesis among non-CHD-associated genes.
Interpretation:

The study emphasizes the polygenic architecture of CHD and the importance of context-aware interpretation of genetic variants.

Limitations:
  • Small sample size of 50 patients limits the generalizability of findings.
  • Current genomic annotation databases may not adequately capture the complexity of CHD genetics.
Conclusion:

The study expands the understanding of the genetic landscape underlying congenital heart anomalies and highlights the need for larger, deeply phenotyped cohorts.

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