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Published on: August 15, 2019
Phenotypic variability and genetic susceptibility to genomic disorders
Santhosh Girirajan1, Evan E Eichler
1Department of Genome Sciences, Howard Hughes Medical Institute, University of Washington School of Medicine, 3720 15th Avenue NE, Seattle, WA 98195, USA.
Human genome duplication leads to copy number variation and disease. Different genetic backgrounds and additional rare events explain varied disease outcomes and severity, impacting diagnostics.
Area of Science:
- Genomics
- Human Genetics
- Molecular Biology
Background:
- The human genome's duplication architecture predisposes to recurrent copy number variation (CNV) and associated diseases.
- CNV is implicated in both common and rare diseases, with structural polymorphisms influencing population susceptibility and ethnic predilection.
- Genomic rearrangements exhibit variable expressivity, leading to diverse clinical presentations.
Purpose of the Study:
- To distinguish between syndromic and variable expressivity genomic disorders.
- To investigate the role of additional rare events and inheritance patterns in disease type and severity.
- To propose a general model for complex genetic diseases based on accumulated low-frequency alleles.
Main Methods:
- Analysis of copy number variation in patient genomes.
- Examination of inheritance patterns within families.
- Comparative analysis of genomic architectures and disease phenotypes.
Main Results:
- Identified two types of genomic disorders: invariant syndromic forms and those with diverse diagnoses (e.g., epilepsy, schizophrenia, autism).
- Disease type and severity correlate with additional rare genetic events and their familial inheritance.
- The cumulative burden of CNVs influences developmental backgrounds, affecting disease thresholds and outcomes.
Conclusions:
- Genomic disorders can be categorized based on phenotypic variability.
- Complex genetic diseases may result from the accumulation of multiple high-penetrant, low-frequency alleles.
- Understanding CNV burden and inheritance is crucial for diagnostics and disease management.
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