The Importance of Genetics and Omics in Neurodegenerative Diseases Flashcards
Neuropathology of AD
Loss of brain volume, hippocampal atrophy, enlarged lateral ventricles
Abeta extracellular plaques, neurofibrillary tangles, cerebral amyloid angiopathy
Neuropathology of PD
Loss of dopaminergic neurons in substantia nigra
aSyn lewy body and lewy neurites
Neuropathology of FTLD
Heterogenous depending on which protein is accumulating - TDP-43, tau, FUS
Different genes implicated in different subtypes
FTLD-TDP makes up 50% of all FTLD cases
Genetics: Loci Discovery
Helps to detect genetic variants associated with neurodegenerative diseases
Variants can be Mendelian (disease-causing, high penetrance) or risk alleles (low penetrance, small risk can be cumulative/interact with environment)
AD Genetics
Mendelian genes: APP, PSEN1, PSEN2
APOE4 is the strongest risk factor for late-onset AD
PD Genetics
Autosomal dominant and recessive genetic loci associated with familial PD
PARK1/4 - AD, PARK2 - AR
SNCA encodes for aSyn -> variants associate with familial form and risk of sporadic form
AD Ataxia Genetics
Repeat expansions are most common form of mutation
Inherited mutations
ATXN3, ATXN1/2/7, CACNA1A
Benefits of Genetics in Neurodegenerative Diseases
- Allows genetic testing and diagnosis of Mendelian forms of disease
- Improved genetic counselling
- Use for predictive and/or prenatal testing
- Allows predictions of disease risk/onset/prognosis
Clues from Mendelian Diseases
Overproduction of certain deposited proteins leads to earlier onset of disease -> shows us that it is harmful to have too much of a certain gene
Use of Identifying Genes
Once risk genes are identified, we can find out what the genes do, what different risk genes have in common
This can help us to determine if there are pathways which can be targeted instead of individual genes
-> can use pathways to help modify phenotype or prevent disease
Can help us to determine why different gene mutations can cause the same type of disease
Treatment Strategies
- Prevent gene being transcribed in nucleus
- Target mRNA for degradation
- Target faulty protein
- Target clearance of protein
Epigenomics
One DNA sequence can produce multiple phenotypes
Epigenetics converts a static DNA sequence to dynamic gene expression
Most common epigenetic modifications are:
- Histone methylation
- Histone acetylation
- Histone phosphorylation
- Histone ubiquitination
- DNA 5-methylcytosine addition
- DNA 5-hydroxymethylcytosine additions
Module Trait Relationships
Create weighted gene co-methylation networks
Looks at groups of genes associated with disease rather than individual changes
Identify what they have in common and what pathways are affected
Can identify genetic and epigenetic overlap -> different mechanisms may be leading to changes in the same gene
Transcriptomics
Looks at mRNA
Can compare gene by gene or by more systems approaches
Use normal brain transcriptomic to find out what genes are doing to identify how the mutations may cause disease
Can identify particular pathways present in certain networks in different areas of the brain
Can also compare different diseases with shared risk genes to see if they have anything in common and what cells are associated with those genes
Polygenic Risk Scores
Used to stratify patients for clinical trials
Overall risk score is made up of many variants with different effect sizes
Only some genetic variants may benefit from a particular drug