Genomics Flashcards

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1
Q

genome

A

the entire dna content of an organism or cell

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2
Q

exome

A

the region of the genome that codes for proteins

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3
Q

% of the genome which is exome

A

2%

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4
Q

Non-coding DNA

A

the rest- includes regulatory sequences and ‘junk’

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5
Q

Epigenome

A

modifications to the genome e.g. methylation and histone acetylation which may regulate its function

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6
Q

karyotype

A

chromosomal content of a cell

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7
Q

genomes

A

vary from person to person

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8
Q

what make genomes different

A

nucleotide polymorphisms

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9
Q

nucleotide polymorphisms

A

SNPs, indels and repeats

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10
Q

how many known SNPs in human genome

A

10 mill

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11
Q

how many changes to reference genome coding sequences per person

A

10,00

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12
Q

how many loss of function per person

A

250

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13
Q

an example o how karyotype links to phenotype

A

CML

  • ABL
  • easy to see down a microscope
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14
Q

simple monogenic disorders e.g.

A

CF
-inheritance pattern suggested single gene defect
-

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15
Q

CF is

A

autosomal recessive

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16
Q

genetic linkage

A

a measure of how resistance to recombination marker and phenotype are
- focuses on a very small chromosomal regions

17
Q

Tom Satinford

A

a progeria athlete from exeter

18
Q

how could we find out what condition Tom has

A

1) trio analysis
2) exome sequences

Deep sequence both parents- in this case exome only. Deep sequence the probing (tom)- anything new?

19
Q

example of polygenic diseases

A

diabetes, alzheimers

20
Q

polygenic disease are much

A

more complicated

21
Q

with polygenic disease there is

A

some heritable risk, not guaranteed to inherit though. Combination of genetics and the environment

22
Q

with polygenic diseases what could we used to know which genes are involved

A

GWAS

23
Q

GWAS

A

genome wide association study

24
Q

GWAS looks for

A

SNPs that are ‘over represented’ in disease patients

25
Q

SNPs do not

A

have to be genes- can act as a marker for a different kind of mutation/regulatory region

26
Q

if SNPs are more common then you’d expect

A

you would expect nearby genes are involved

27
Q

why is GWAS useful to science as well as medicine

A

often several genes identified which are known to be involved in a shared pathway. gives a clue into the rise mechanism.
Help us in choosing a drug target

28
Q

prospective cohort study

A

allows genotype to phenotype correlation

29
Q

mendelian randomization

A

determine causality for ons studies. Our genotype is randomly assigned at birth. not influenced by confounding factors.

30
Q

e.g. is smoking bad for you

A
  • there are SNPs associated with heavy smoking
  • assume SNPs aren’t causal for death
  • but are they associated with death?
31
Q

GWAS does not

A

explain all common disease

e.g. environment must also be important (lung cancer)

32
Q

what about epigenetic changes

A

changes to DNA that do not affect its base sequence are thought to be environemntal

33
Q

you can..

A

can map methylation in a genome

- some abnormal methylation patterns correlate with certain disease e.g. Alzheimer’s and cancer

34
Q

CRISPR can help

A

provide answers as to where genes are being turned on or off to cause disease, or if its cause or effect

35
Q

polygenic diseases often have

A

environmental elements- leading to epigenetic changes

36
Q

genome sequencing and GWAS used to identify

A

defective/ contributory genes

37
Q

big data sets being use to

A

establish correlation