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Full-Text Articles in Life Sciences
Random Forest-Integrated Analysis In Ad And Late Brain Transcriptome-Wide Data To Identify Disease-Specific Gene Expression, Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
Random Forest-Integrated Analysis In Ad And Late Brain Transcriptome-Wide Data To Identify Disease-Specific Gene Expression, Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
Sanders-Brown Center on Aging Faculty Publications
Alzheimer's disease (AD) is a complex neurodegenerative disorder that affects thinking, memory, and behavior. Limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recently identified common neurodegenerative disease that mimics the clinical symptoms of AD. The development of drugs to prevent or treat these neurodegenerative diseases has been slow, partly because the genes associated with these diseases are incompletely understood. A notable hindrance from data analysis perspective is that, usually, the clinical samples for patients and controls are highly imbalanced, thus rendering it challenging to apply most existing machine learning algorithms to directly analyze such datasets. Meeting this data analysis challenge is …
Editorial: Roles Of Sleep Disruption And Circadian Rhythm Alterations On Neurodegeneration And Alzheimer's Disease, Marilyn J. Duncan, Sigrid C. Veasey, Phyllis Zee
Editorial: Roles Of Sleep Disruption And Circadian Rhythm Alterations On Neurodegeneration And Alzheimer's Disease, Marilyn J. Duncan, Sigrid C. Veasey, Phyllis Zee
Neuroscience Faculty Publications
No abstract provided.
Analysis Of High-Risk Pedigrees Identifies 12 Candidate Variants For Alzheimer's Disease, Craig C. Teerlink, Justin B. Miller, Elizabeth L. Vance, Lyndsay A. Staley, Jeffrey Stevens, Justina P. Tavana, Matthew E. Cloward, Madeline L. Page, Louisa Dayton, Alzheimer's Disease Genetics Consortium, Lisa A. Cannon-Albright, John S. K. Kauwe
Analysis Of High-Risk Pedigrees Identifies 12 Candidate Variants For Alzheimer's Disease, Craig C. Teerlink, Justin B. Miller, Elizabeth L. Vance, Lyndsay A. Staley, Jeffrey Stevens, Justina P. Tavana, Matthew E. Cloward, Madeline L. Page, Louisa Dayton, Alzheimer's Disease Genetics Consortium, Lisa A. Cannon-Albright, John S. K. Kauwe
Institute for Biomedical Informatics Faculty Publications
INTRODUCTION: Analysis of sequence data in high-risk pedigrees is a powerful approach to detect rare predisposition variants.
METHODS: Rare, shared candidate predisposition variants were identified from exome sequencing 19 Alzheimer's disease (AD)-affected cousin pairs selected from high-risk pedigrees. Variants were further prioritized by risk association in various external datasets. Candidate variants emerging from these analyses were tested for co-segregation to additional affected relatives of the original sequenced pedigree members.
RESULTS: AD-affected high-risk cousin pairs contained 564 shared rare variants. Eleven variants spanning 10 genes were prioritized in external datasets: rs201665195 (ABCA7), and rs28933981 (TTR) were previously …
Effects Of Sleep Fragmentation On The Progression Of Alzheimer’S Disease, Lindsay Beechem
Effects Of Sleep Fragmentation On The Progression Of Alzheimer’S Disease, Lindsay Beechem
Lewis Honors College Capstone Collection
Alzheimer’s Disease (AD) is a neurodegenerative disease that is characterized by amyloid-beta (Aβ) plaques, neurofibrillary tangles, neuronal death, and profound cognitive impairment. Previous studies have indicated that increased Aβ and alterations in the daily sleep-wake cycle are early risk factors and possible predictors of AD. Acute sleep deprivation decreases Aβ clearance, and increased Aβ levels stimulate neuroinflammation and accelerate loss of neurons and synapses. Likewise, it has been shown that there are higher rates of sleep disorders in AD patients. However, limited studies have investigated whether sleep fragmentation accelerates the progression of AD pathology. This partial review will discuss experiments …