Genome Variation Flashcards

1
Q

SNP

A
  • Single nucleotide polymorphism
  • 1% of population
  • affect disease, chemical response, pathogen response, comparing populations with and without SNP/disease
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2
Q

SNP location

A
  1. intergenic
  2. promoter or TF binding region
  3. exon: protein coding
  4. intron: regulatory/splicing region
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3
Q

Disease SNPs

A
Monogenic
- one nucleotide change leads to disease
- simple traits
Polygenic
- multiple changes affect probability of disease
- complex traits
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4
Q

Coding SNPs

A
  • potentially disease causing as they affect protein
    Synonymous
  • silent mutation but may affect exon splicing enhancers and silencers
    Non-synonymous
  • affected codon codes a different amino acid
  • may be detrimental
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5
Q

Transition

A
  • purine to purine or pyrimidine to pyrimidine

- less common

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6
Q

Transversion

A
  • purine to pyrimidine or vice versa
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7
Q

Ti/Tv ratio

A
  • varies within genome (average 2)
  • assesses GWAS quality
  • in coding regions the ratio is higher as transversions in the third codon base more likely to change the encoded amino acid
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8
Q

Sickle Cell Anemia

A
  • inherited blood disorder due to mutations in beta globin HBB
  • fragile sickle red blood cells that clump together
  • mutation of amino acid 6 (GAG to GTG)
  • glutamic acid to vline
  • autosomal recessive
  • monogenic SNP with transversion
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9
Q

Alzheimers

A
  • polygenic SNP
  • apolipoprotein contains 2 SNPs with 3 possilbe alleles
  • some alleles have increased or decreased chances of developing disease
  • only an indication of likelihood, not absolute
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10
Q

Non-Coding SNPs

A
  • disease associate SNPs enriched in regulatory regions of DNA
  • includes enhancers/silencers, promoters, etc
  • difficult to work out effect of regulatory region SNP
  • challenges in GWAS
  • transcription regulation is complex and involves numerous non coding regions so SNPs in this region can affect transcription
  • mapping and association is difficult
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11
Q

Splice Site Disruption

A
  • SNP can knock out splice site or introduce cryptic splice site
  • 10% of all mutations causing human inherited diseases disrupt splice site consensus sequences
  • causes loss of associated exon
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12
Q

BRCA2 gene

A
  • sequence within intron 12 of BRCA2 is exon like in nature
  • lacks strong 5’ exon donor site to be included
  • T to G transversion SNP generates strong donor site so exon is included
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13
Q

OAS1 gene

A
  • OAS1 gene associated with type 1 diabetes
  • intron 6 AG - AA variant shifts 3’ splice site by 1 nucleotide
  • changes reading frame of exon 7 causing a longer protein
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14
Q

GWAS

A
  • genome wide association study
  • identifies genetic variations and SNPs between cohorts
  • correlates phenotype to genotype
  • difficult to accurately identify SNPs
  • sequence multiple genomes from a population at low coverage from a population and pool data
  • align to reference and identify variants
  • most of genome will be identical and variants are shared
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15
Q

100,000 genome project

A
  • aims to identify SNPs associated with disease using GWAS as a resource of treatment and research
  • aim to create new genomic medicine service for NHS
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16
Q

Challenges of GWAS

A
  • non coding elements disrupting regulatory elements are significantly less clear
  • regulation dependent on many factors like tissue, cell type, temporal patterns, etc
  • only identifies candidate SNPs
17
Q

Linkage Disequilibrium

A
  • association of alleles at two or more loci within a population
  • haplotypes don’t occur at expected frequencies
  • non random
  • improves genetic association studies like cancer
  • important for GWAS as it can identify genetic markers for associated disease
18
Q

Expression Quantitative Trait Loci (eQTL)

A
  • mapping variants altering gene expression by testing genotype association with quantitative RNA levels
  • measures difference in RNA levels with and without variant
  • disease associated SNP also a significant eQTL is expected to confer risk of disease via expression effec
  • enables identification of regulated genes via an SNP even if they are not close
  • association between GWAS and eQTL identified SNPs can lead to identification of disease causing genes
  • eQTL: link SNP to gene
  • GWAS: link disease to SNP
19
Q

SNP Genotyping

A
  • microarrays to identify presence of SNPs
  • probes for known SNPs and normal sequence
  • variant will be detected
20
Q

Heterplasmy

A
  • bottleneck effect of mitochondrial division can cause mutant accumulation in oocytes
  • this leads to offspring with differing levels of mitochondria
  • need accurate mapping