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Identifying Genes Whose Mutant Transcripts Cause Dominant Disease Traits by Potential Gain-of-Function Alleles
Zeynep Coban-Akdemir1, Janson J White1, Xiaofei Song1
1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Nonsense-mediated decay (NMD) usually degrades faulty transcripts, but some escape, causing gain-of-function diseases. We developed an NMD escape intolerance score to identify genes prone to this, aiding discovery of dominant disease-causing genes.
Area of Science:
- Genetics
- Molecular Biology
- Genomic Medicine
Background:
- Premature termination codons (PTCs) typically lead to transcript degradation via nonsense-mediated decay (NMD), resulting in loss-of-function (LoF).
- However, PTCs can escape NMD, producing truncated peptides that cause disease through gain-of-function (GoF) mechanisms.
- PTC location critically influences NMD escape and subsequent transcript fate.
Purpose of the Study:
- To hypothesize and test that depletion of protein-truncating variants (PTVs) in NMD-escape regions can rank genes for GoF versus LoF disease susceptibility.
- To develop and apply an NMD escape intolerance score for identifying candidate genes in Mendelian diseases.
- To provide a novel analytical tool for discovering genes associated with dominant traits via mechanisms other than LoF.
Main Methods:
- Developed an NMD escape intolerance score by analyzing PTV depletion in NMD-escape regions.
- Utilized Atherosclerosis Risk in Communities Study (ARIC) and Exome Aggregation Consortium (ExAC) control databases.
- Screened the Baylor-Center for Mendelian Genomics disease database to identify candidate genes.
Main Results:
- Identified 1,996 genes significantly depleted for PTVs predicted to escape NMD (PTVesc).
- A subset of these genes was validated as candidates for Mendelian phenotypes.
- Found that these candidate genes often possess low probability of LoF (pLI) scores, potentially masking them in dominant disease studies.
Conclusions:
- The NMD escape intolerance score is an effective tool for discovering genes involved in Mendelian diseases caused by truncated or altered proteins.
- This score aids in identifying genes associated with dominant traits through GoF mechanisms, complementing LoF-based approaches.
- The study highlights a distinct genetic mechanism for dominant diseases and provides a valuable tool for gene discovery.
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