Download Review-6-Epistasis-and-Pathway

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

X-inactivation wikipedia , lookup

Public health genomics wikipedia , lookup

Population genetics wikipedia , lookup

History of genetic engineering wikipedia , lookup

Dominance (genetics) wikipedia , lookup

Epigenetics of neurodegenerative diseases wikipedia , lookup

Copy-number variation wikipedia , lookup

Genetic engineering wikipedia , lookup

NEDD9 wikipedia , lookup

Epigenetics of diabetes Type 2 wikipedia , lookup

Genome evolution wikipedia , lookup

Gene wikipedia , lookup

Vectors in gene therapy wikipedia , lookup

Nutriepigenomics wikipedia , lookup

Oncogenomics wikipedia , lookup

Genome (book) wikipedia , lookup

RNA-Seq wikipedia , lookup

Gene therapy of the human retina wikipedia , lookup

Gene expression profiling wikipedia , lookup

Gene therapy wikipedia , lookup

The Selfish Gene wikipedia , lookup

Frameshift mutation wikipedia , lookup

Helitron (biology) wikipedia , lookup

Gene desert wikipedia , lookup

Neuronal ceroid lipofuscinosis wikipedia , lookup

Therapeutic gene modulation wikipedia , lookup

Site-specific recombinase technology wikipedia , lookup

Mutation wikipedia , lookup

Saethre–Chotzen syndrome wikipedia , lookup

Gene expression programming wikipedia , lookup

Gene nomenclature wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

Designer baby wikipedia , lookup

Point mutation wikipedia , lookup

Microevolution wikipedia , lookup

Epistasis wikipedia , lookup

Transcript
Epistasis and Pathway Building
Epistasis- when the phenotype of one mutation masks the phenotype of another.
-The gene whose mutations is being expressed is epistatic to the gene whose phenotype is being
masked.
How does epitasis occur? How can we build pathways from epistatic analysis? (For these examples,
assume all mutations are loss of function).
1) Precursor- product (often biosynthetic pathways)
precursor---------- intermediate----------product
gene A
gene B
-gene A mutation leads to buildup of precursor
-gene B mutation leads to buildup of intermediate
-gene A and B mutations lead to a buildup of precursor.
-gene A epistatic to gene B and is upstream of gene B.
2) Regulatory pathways (often signaling or transcription cascades):
Phenotype A --------|Phenotype B ------ phenotype C
Gene 1
Gene 2
-mutations in gene 1 lead to phenotype A.
-mutations in gene 2 lead to phenotype B.
-mutations in gene 1 and gene 2 lead to phenotype B.
Gene 2 is epistatic to gene 1 and is downstream of gene 1.
How do we tell positive ( ) from negative ( --| )regulation?
-
Single mutations with opposite effects often signify negative regulation.
Single mutations with different effects that are not opposite often signify positive regulation.
Parallel pathways- a complication to epistatic analysis.
- null mutations that are not 100% penetrant, such that each mutation partially affects the phenotype.
A B
C
D E
Example problem:
dpy-1 and dpy-4 mutants are all fat and “dumpy”, so are the double mutants. Dau-2 and dau-3 are are
all thin and “dauer”, so are the double mutants. What can you infer about the relationship between the
genes from the following epistatic analysis:
dpy-1 and dau-3= thin
dpy-4 and dau-2= fat
dpy-4 and dau-3= thin