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Updated: Feb 11, 2026

Mutagenesis and Analysis of Genetic Mutations in the GC-rich KISS1 Receptor Sequence Identified in Humans with Reproductive Disorders

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Published on: September 4, 2011

Splicing mutations in human genetic disorders: examples, detection, and confirmation.

Abramowicz Anna¹, Gos Monika²

¹Department of Medical Genetics, Institute of Mother and Child, Kasprzaka 17a, 01-211, Warsaw, Poland.

Journal of Applied Genetics

|April 23, 2018

Summary

Splicing mutations disrupt pre-mRNA processing, leading to inherited diseases. Modern techniques and bioinformatics aid in identifying these critical genetic alterations for clinical diagnosis.

Keywords:

Pre-mRNA splicing Spliceosome Splicing enhancers and silencers Splicing mutation

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Mutagenesis and Analysis of Genetic Mutations in the GC-rich KISS1 Receptor Sequence Identified in Humans with Reproductive Disorders

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Published on: September 4, 2011

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Detection of Alternative Splicing During Epithelial-Mesenchymal Transition

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Published on: October 9, 2014

Area of Science:

Molecular Biology
Genetics
Bioinformatics

Background:

Accurate pre-messenger RNA (pre-mRNA) splicing is crucial for protein synthesis, relying on specific DNA sequences.
Mutations in these sequences can disrupt splicing, leading to aberrant transcripts and genetic disorders.
Splicing mutations are increasingly recognized as significant contributors to inherited diseases.

Purpose of the Study:

To review current knowledge on splicing mutations.
To summarize methods for identifying splicing mutations in clinical settings.

Main Methods:

Identification of mutations affecting splice sites, regulatory elements (enhancers/silencers), and cryptic sites.
Application of modern genetic techniques to detect variants, including deep intronic mutations.
Utilizing bioinformatic algorithms for predictive assessment of mutation effects.

Main Results:

Splicing mutations can occur in introns or exons, disrupting or creating splice sites.
These mutations often lead to errors in intron removal and open reading frame alterations.
Synonymous, nonsynonymous, and deep intronic variants impacting splicing have been identified.

Conclusions:

Splicing mutations are abundant and important in inherited disease etiology.
Bioinformatic tools are valuable for predicting mutation impact, but functional studies are essential for verification.
Understanding splicing mutations is key for advancing clinical diagnosis and genetic disease research.