W5L1 Describing and measuring diversity in gene expression Flashcards
Fluctuation of gene expression in different level
- Across genes within a single individual/organ/cell
- Across individuals/organs/cells within a single gene
- Across individuals/organs/cells and genes both
is biological process deterministic and predictable
- Stochasticity, genetic variation and environmental variation can all substantially alter outcomes of cellular processes…for better and for worse
Quantifying variation with molecular quantitative trait locus mapping (molQTLs)
- A QTL is a genetic region(locus) associated with a particular quantitative phenotype
- QTL mapping has been transformed by the resolution of high-throughput sequencing
- In some organisms, we map things to a specific SNP.
- Most common: linking genetic variants to mRNA expression levels: eQTLs (expression QTLs)
eQTL discovery and math
- To identify eQTLs, test each SNP near a gene for a linear association between genotype and expression levels of the gene
-If genotype is significantly associated (in a statistical sense) with expression, that SNP is an eQTL for that gene
assumption on alleles effect
- We often make one additional assumption: allelic effects are additive:
- Values in heterozygotes will be ~halfway between the values in either homozygote
Making eQTL maps
To map eQTLs in anything we need two things:
1. RNA expression data from a lot of individuals
* From what tissues should we map? All tissues? Some tissues? Which tissues? What’s a tissue, anyhow?
* Are eQTL effects shared across tissues or are they tissue-specific?
2. Whole genome genotype data from the same individuals
* Which individuals should we use
Quantifying gene expression in human tissues: the GTEx project
An ongoing effort to build a comprehensive public resource to study tissue-specific gene expression and regulation
v8 (2020): RNA-seq on 49 human tissues across 838 people
-showed that human tissue are transcriptionally distinct
eQTL in human genome
eQTLs are ubiquitous(everywhere) in the genome, as the number of sample increase, more QTL they find. so far 12k gene
-but not all eQTLs have equal effect size (differences in expression levels between genotype class)
when is eQTLs have the largest effectsize
- eQTLs that disrupt splice sites or introduce early stop codons have the largest effect, but they are rare
Upstream regulatory eQTLs are a much more common means of regulating expression
cis(local) vs trans eQTLs
- A cis QTL affects expression of the focal gene in an allele specific manner.
- A trans QTL impacts expression of both alleles of the focal gene equally.