Disabled 1 (DAB1) is an intracellular adaptor protein in the Reelin signaling pathway and plays an essential role in correct neuronal migration and layer formation in the developing brain. DAB1 has been repeatedly reported to be associated with neurodevelopmental disorders including schizophrenia (SCZ) and autism spectrum disorders (ASD) in genetic, animal, and postmortem studies. Recently, increasing attention has been given to rare single-nucleotide variants (SNVs) found by deep sequencing of candidate genes. In this study, we performed exon-targeted resequencing of DAB1 in 370 SCZ and 192 ASD patients using next-generation sequencing technology to identify rare SNVs with a minor allele frequency <1%. We detected two rare missense mutations (G382C, V129I) and then performed a genetic association study in a sample comprising 1763 SCZ, 380 ASD, and 2190 healthy control subjects. Although no statistically significant association with the detected mutations was observed for either SCZ or ASD, G382C was found only in the case group, and in silico analyses and in vitro functional assays suggested that G382C alters the function of the DAB1 protein. The rare variants of DAB1 found in the present study should be studied further to elucidate their potential functional relevance to the pathophysiology of SCZ and ASD.
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http://dx.doi.org/10.1038/s41439-020-00125-7 | DOI Listing |
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Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
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Alzheimers Dement
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Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Single nucleotide polymorphism (SNP)-based genetic studies have identified many risk genes for Alzheimer's disease (AD), but only explain part of the heritability. Structural variation (SVs) may account for some of this otherwise unexplained heritability. In this study, we sequenced 1,519 AD patients and 2,010 controls using 30X whole-genome sequencing (WGS).
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December 2024
Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
Background: Many independent studies have found rare variants associated with AD. Current gene-based tests for rare-variants generally consider the impact of low-frequency coding variants as an independent effect from the common regulatory variants that surround them. In this work, we propose to increase the statistical power of kernel-based rare-variant association tests by accounting for the surrounding cis-regulatory variants' effects on gene expression.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Faculdade de Medicina de Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil.
Background: Most research initiatives have emerged from high-income countries (HIC), leaving a gap in understanding the disease's genetic basis in diverse populations like those in Latin American countries (LAC). ReDLat tackles this gap, focusing on LAC's unique genetics and socioeconomic factors to identify specific Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) risk factors in Mexico, Colombia, Peru, Chile, Argentina, and Brazil.
Method: We employed a comprehensive genetic analysis approach, integrating Whole Genome Sequencing (WGS), Exome Sequencing, and SNP arrays to understand the cohort's unique genetic architecture.
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Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: People leverage single-variant association test to systematically evaluate common genetic variants (minor allele frequency 0.5% < [MAF) < 5%) for complex disease, such as Alzheimer's disease (AD). Rare variants (MAF < 1%) could explain additional disease risk and are known to play an important role in the diseases.
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