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Whole Genome Sequencing and Rare Variant Analysis in Essential Tremor Families
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ABSTRACT
Essential tremor (ET) is one of the most common movement disorders. The etiology of ET remains largely unexplained. Whole genome sequencing (WGS) is likely to be of value in understanding a large proportion of ET with Mendelian and complex disease inheritance patterns. In ET families with Mendelian inheritance patterns, WGS may lead to gene identification where WES analysis failed to identify the causative variant due to incomplete coverage of the entire coding region of the genome. Alternatively, in ET families with complex disease inheritance patterns with gene x gene and gene x environment interactions enrichment of functional rare coding and non-coding variants may explain the heritability of ET. We performed WGS in eight ET families (n=40 individuals) enrolled in the Family Study of Essential Tremor. The analysis included filtering WGS data based on allele frequency in population databases, rare variant classification and association testing using the Mixed-Model Kernel Based Adaptive Cluster (MM-KBAC) test and prioritization of candidate genes identified within families using phenolyzer. WGS analysis identified candidate genes for ET in 5/8 (62.5%) of the families analyzed. WES analysis in a subset of these families in our previously published study failed to identify candidate genes. In one family, we identified a deleterious and damaging variant (c.1367G>A, p.(Arg456Gln)) in the candidate gene,
CACNA1G
, which encodes the pore forming subunit of T-type Ca(2+) channels, Ca
V
3.1, and is expressed in various motor pathways and has been previously implicated in neuronal autorhythmicity and ET. Other candidate genes identified include
SLIT3
(family D), which encodes an axon guidance molecule and in three families, phenolyzer prioritized genes that are associated with hereditary neuropathies (family A,
KARS
, family B,
KIF5A
and family F,
NTRK1
). This work has identified candidate genes and pathways for ET that can now be prioritized for functional studies.
Title: Whole Genome Sequencing and Rare Variant Analysis in Essential Tremor Families
Description:
ABSTRACT
Essential tremor (ET) is one of the most common movement disorders.
The etiology of ET remains largely unexplained.
Whole genome sequencing (WGS) is likely to be of value in understanding a large proportion of ET with Mendelian and complex disease inheritance patterns.
In ET families with Mendelian inheritance patterns, WGS may lead to gene identification where WES analysis failed to identify the causative variant due to incomplete coverage of the entire coding region of the genome.
Alternatively, in ET families with complex disease inheritance patterns with gene x gene and gene x environment interactions enrichment of functional rare coding and non-coding variants may explain the heritability of ET.
We performed WGS in eight ET families (n=40 individuals) enrolled in the Family Study of Essential Tremor.
The analysis included filtering WGS data based on allele frequency in population databases, rare variant classification and association testing using the Mixed-Model Kernel Based Adaptive Cluster (MM-KBAC) test and prioritization of candidate genes identified within families using phenolyzer.
WGS analysis identified candidate genes for ET in 5/8 (62.
5%) of the families analyzed.
WES analysis in a subset of these families in our previously published study failed to identify candidate genes.
In one family, we identified a deleterious and damaging variant (c.
1367G>A, p.
(Arg456Gln)) in the candidate gene,
CACNA1G
, which encodes the pore forming subunit of T-type Ca(2+) channels, Ca
V
3.
1, and is expressed in various motor pathways and has been previously implicated in neuronal autorhythmicity and ET.
Other candidate genes identified include
SLIT3
(family D), which encodes an axon guidance molecule and in three families, phenolyzer prioritized genes that are associated with hereditary neuropathies (family A,
KARS
, family B,
KIF5A
and family F,
NTRK1
).
This work has identified candidate genes and pathways for ET that can now be prioritized for functional studies.
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