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Genetics of gene expression in CNS
Ashutosh K Pandey1, Robert W Williams1
1Department of Genetics, Genomics and Informatics, Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Individual differences in gene expression within the central nervous system (CNS) are common but poorly understood. New genomic techniques can identify genetic factors influencing CNS gene expression, but understanding their full impact requires larger studies and advanced models.
Area of Science:
- Neurogenetics
- Genomics
- Molecular Biology
Background:
- Transcriptome studies reveal significant inter-individual variation in central nervous system (CNS) gene expression.
- Causes and consequences of this expression variability remain largely unknown.
Observation:
- High-throughput genomics combined with classic gene mapping methods enables identification of loci controlling gene expression in the CNS.
- Focus is on messenger RNAs (mRNAs), acknowledging challenges in analyzing noncoding RNAs and proteins.
Findings:
- Techniques are available to pinpoint genetic loci (e.g., expression quantitative trait loci - eQTLs) that regulate CNS gene expression.
- Significant gaps exist in understanding the genetic architecture of brain gene expression and its functional consequences.
Implications:
- Future research requires larger sample sizes, advanced RNA sequencing and proteomic methods.
- Novel statistical and computational models are needed to link genome variations to phenomic outcomes, including behavior and disease risk.
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