Behavioural and psychiatric genetics I: L22 Flashcards
1
Q
pedigree map, dominant:
- dominant traits can’t
- two unaffected parents can’t
A
- skip generations
2. have affected offspring
2
Q
pedigree map, recessive:
1. two affected parents can’t have
A
- unaffected offspring
3
Q
X linked, pedigree map:
- cannot transfer
- dominant - daughter of affected father
- recessive - father of affected daughter
A
- father to son
- must be affected
- must be affected
4
Q
pedigree examples
- 2 unaffected parents with affected offspring =
- unaffected father with affected daughter =
- 2 affected parents with unaffected offspring =
- affect father with unaffected daughter =
- affected father with 100% affected daughters, no sons=
- 2 unaffected parents with only affected sons, no daughters =
A
- recessive
- autosomal recessive
- dominant
- autosomal dominant
- x-linked dominant (clue, cant ever be proved)
- x-linked recessive (clue, cant ever be proved)
5
Q
monogenic disorders
- we can trace the origins of monogenic disorders to
- it results from a …
- FMR1 is critical for
- expansion of repeated CGG sequence of bases triggers
A
- a single gene
- > huntington’s disease (single gene = HTT)
- > fragile x syndrome (FMR1) - copy number variant in the 5-untranslated region of the gene FMR1
- synaptic plasticity
- methylation
- constricts x chromosome & causes fragile appearance
- a methylated promotor region prevents transcription of the gene
6
Q
Polygenic disorders
1. monogenic disorders are the exception to
A
- the rule in behavioural and psychiatric genetics
- > there is no single gene for schizo, autism, bipolar, depression or anxiety
7
Q
GWAS (genome-wide association studies)
- what happens?
- genome-wide association studies examine
- how many markers
A
- saliva sample collected, extract DNA, goes onto a chip, goes into a machine & list of numbers is produced (for every chromosome)
- the statistical association between a phenotype and many SNP markers throughout the genome
- 500,000 - 2, 000 000
8
Q
GWAS
- we can sample common variation sparsely because
- in a direct association
- in an indirect association
A
- linkage disequilibrium (LD) allows us to observe indirect associations
- > many variants in chromosomes are highly correlated - phenotype has a functional association with a genotypes SNP
- phenotype has a functional association with a non-genotypes SNP that is in LD with a genotyped SNP
9
Q
GWAS
- for quantitative traits, we use (e.g. frequency of alcohol use)
- for categorical and binary traits (e.g. bipolar disorder) we can use
A
- an allelic dosage model
2. an allelic association model
10
Q
GWAS
- a manhattan plot graphically summarises
- each point
- physical location on the genome & within a chromosome
- transformed p value
- > lower p values are
A
- the results of all of our individual tests of association
- represents the outcome of a test for one single SNP
- is on the horizontal axis
- vertical axis
- > higher on the axis, emphasising strongest associations
11
Q
GWAS
1. thresholds for significance are stringent because
A
- multiple comparisons increase the likelihood of type I error
- threshold set: a= 5x10 -8 (p < .00000005) (very high)
- this corresponds to bonferroni correction for ~1 million independant (uncorrelated) tests
12
Q
GWAS
- prediction of genotypes at non genotyped SNPs is
- This prediction relies on
- applies patterns of linkage
A
- imputation
- data from a reference panel of individuals genotypes at high density
- disequilibrium discovered in the reference panel
13
Q
GWAS
- genetic distance and recombination rate reflect
- > this defines - the extent to which a sequence is maintained across a species is called
- > important function preserved during evolution is indicated by
A
- the frequency with which two markers are inherited together
- > the region likely to contain the functional variant - conservation
- > high conservation
14
Q
GWAS
-> ‘skyscrapers’ often observed in manhattan plots could be explained by (2)
A
-> Multiple SNPs in linkage disequilibrium with a functional SNP
or
-> multiple functional SNPs in the same gene