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A cytosine-thymine (CT)-rich haplotype in intron 4 of SNCA confers risk for Lewy body pathology in Alzheimer's disease and affects SNCA expression.


ABSTRACT: We recently showed that tagging single-nucleotide polymorphisms across the SNCA locus were significantly associated with increased risk for Lewy body (LB) pathology in Alzheimer's disease (AD) cases. However, the actual genetic variant(s) that underlie the observed associations remain elusive.We used a bioinformatics algorithm to catalog structural variants in a region of SNCA intron 4, followed by phased sequencing. We performed a genetic association analysis in autopsy series of LB variant of Alzheimer's disease (LBV/AD) cases compared with AD-only controls. We investigated the biological functions by expression analysis using temporal-cortex samples.We identified four distinct haplotypes within a highly polymorphic low-complexity cytosine-thymine (CT)-rich region. We showed that a specific haplotype conferred risk to develop LBV/AD. We demonstrated that the CT-rich site acts as an enhancer element, where the risk haplotype was significantly associated with elevated levels of SNCA messenger RNA.We have discovered a novel haplotype in a CT-rich region in SNCA that contributes to LB pathology in AD patients, possibly via cis-regulation of the gene expression.

SUBMITTER: Lutz MW 

PROVIDER: S-EPMC4630109 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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A cytosine-thymine (CT)-rich haplotype in intron 4 of SNCA confers risk for Lewy body pathology in Alzheimer's disease and affects SNCA expression.

Lutz Michael W MW   Saul Robert R   Linnertz Colton C   Glenn Omolara-Chinue OC   Roses Allen D AD   Chiba-Falek Ornit O  

Alzheimer's & dementia : the journal of the Alzheimer's Association 20150613 10


<h4>Introduction</h4>We recently showed that tagging single-nucleotide polymorphisms across the SNCA locus were significantly associated with increased risk for Lewy body (LB) pathology in Alzheimer's disease (AD) cases. However, the actual genetic variant(s) that underlie the observed associations remain elusive.<h4>Methods</h4>We used a bioinformatics algorithm to catalog structural variants in a region of SNCA intron 4, followed by phased sequencing. We performed a genetic association analysi  ...[more]

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