Publications by authors named "Amina Kieva"

The advent of next-generation sequencing (NGS) has revolutionized the analysis of genetic data, enabling rapid identification of pathogenic variants in patients with inborn errors of immunity (IEI). Sometimes, the use of NGS-based technologies is associated with challenges in the evaluation of the clinical significance of novel genetic variants. In silico prediction tools, such as SpliceAI neural network, are often used as a first-tier approach for the primary examination of genetic variants of uncertain clinical significance.

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Article Synopsis
  • A study analyzed genetic defects in 1809 Russian children with inborn errors of immunity (IEI), finding that 61.5% had identifiable genetic issues.
  • The defects predominantly involved single gene variants (87.9%), with a significant portion of variants being novel, highlighting the genetic diversity within this population.
  • Inherited patterns of defects showed a mix of autosomal dominant (29%), X-linked (34%), and autosomal recessive (37%), with notable cases of "Slavic" mutations contributing to the findings.
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