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Somatic mosaicism: implications for disease and transmission genetics
Ian M Campbell1, Chad A Shaw2, Pawel Stankiewicz1
1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Trends in Genetics : TIG
|April 26, 2015
Summary
Every human is a mosaic of unique personal genomes due to accumulating mutations like single-nucleotide variants (SNVs) during cell division. Understanding these mosaic mutations is crucial for genetic disease insights and inheritance.
Area of Science:
- Genetics
- Genomics
- Developmental Biology
Background:
- Most cells in an organism share identical genetic material.
- Cell division during development leads to the accumulation of genetic variations, including single-nucleotide variants (SNVs), insertions/deletions (indels), copy-number variants (CNVs), and structural variants (SVs).
- This ongoing process results in cellular mosaicism, where each cell possesses a unique genome.
Purpose of the Study:
- To review the influence of mutation timing during development.
- To explore the mechanisms underlying the origin of mosaic mutations.
- To discuss methods for detecting mosaic variants and their inheritance risks.
Main Methods:
- Review of existing literature on mosaic mutations.
- Analysis of developmental timing and mutation mechanisms.
- Examination of variant detection technologies.
- Assessment of germline transmission risks.
Main Results:
- Mosaic mutations arise continuously during cell division, creating unique personal genomes within an individual.
- These variants can be clinically silent, contribute to disease, or represent normal human variation.
- The timing of mutation occurrence significantly impacts its consequences.
- Detection methods are advancing, but challenges remain.
- Mosaic mutations can be passed to offspring as constitutional variants.
Conclusions:
- Human mosaicism is a fundamental aspect of biology, arising from accumulated genetic variants.
- Understanding mosaic mutations is key to diagnosing genetic diseases and comprehending human variation.
- Further research into detection and inheritance patterns is essential for clinical applications.
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