10. LINKAGE ANALYSIS Flashcards
- What are three reasons for why genetic variation is important?
- Genetic variation underlies the phenotypic differences between individuals
- Genetic variation can help identify clues about ancestral history
- Genetic variation determines our pre-disposition to complex diseases and our response to drugs
What are three types of mutations?
- De novo mutations - a new mutation that isn’t inherited
- Somatic mutation - occurs in a early stages of embryogenesis, not passed on to offspring because only daughter cells that arise from the mutated cell will be affected
- Germ-line mutation - occurs in oogenesis or spermatogenesis, so variable proportion of gametes are affected & can be passed onto offspring
What is homologous recombination?
- Homologous recombination is the common breaking & joining of chromosomes resulting in the exchange of chromosome segments & new allele combinations
What is a haplotype?
- A group of alleles at linked loci that are inherited together from a single parent
What are the three classifications of genetic diseases & which is studied by linkage analysis?
- MENDELIAN/MONGENIC DISEASE - can be studied by linkage analysis. Disease that’s caused by a single gene with little or no impact from the environment
- NON-MENDELIAN DISEASE - Disease caused by multiple alleles which each have a small impact individually on the final condition
- MULTI-FACTORIAL DISAESE - A disease caused by the interaction of multiple genes & environmental factors
What is linkage analysis?
- Linkage analysis is a genetic method that studies genes that are linked to a disease
- It is used to map the location of a disease gene in the genome
- Linkage analysis assumes that the genetic marker is where the disease gene is located
*What is genetic linkage?
- Genetic linkage is the tendency for alleles at adjacent loci to be segregate/join together in meiosis
- In order for loci to be linked they must be very close together
What is recombination & co-segregation?
- Recombination = combines two or more types of DNA to from a new combination
- Non-recombination/Co–segregation - there’s no recombination & only the parental DNA is present
How does the distance of the distance of the disease gene affect recombination?
- Cross-overs are more likely to occur between loci that are somewhat distant rather than loci that are close together
- If a genetic marker & a disease gene are distant, independent assortment will occur & there’s a high likelihood of RECOMBINATION
- If a genetic marker & a disease gene are close together, non-independent assortment will occur & there’s a high likelihood of CO-SEGREGATION
How can genetic markers be used to identify the disease gene?
- Multiple family members from families with genetic traits can be genotyped & the genetic marker can also be genotyped
- By looking at the haplotypes that are the same in affected family members, we can identify which genetic markers co-segregate with the disease gene
What are the two types of genetic markers used in linkage analysis?
- Microsatellite genetic markers
2. SNP genetic markers
What are microsatellite genetic markers?
Microsatellite markers are:
- multi-allelic, highly polymorphic
- 2-6 bp in length
- PCR based system using fluorescent PCR primers
- widely spaced out genetic markers, craetes gaps in teh genome so less commonly used
- uses 400 microsatellite genetic markers
- higher heterozygosity than SNP genetic markers
What are SNP genetic markers?
SNP genetic markers are:
- Bi-allelic
- Microarray based system that is highly automated
- Requires 600 SNP genetic markers
- Lower heterozygosity than microsatellite genetic markers
- Closely spaced together, provides better coverage of the genome so more commonly used
What are three uses of microsatellite genotyping?
- DNA fingerprinting
- Paternity testing
- Linkage analysis to identify disease genes
What does SNP genotyping do & give two uses?
- SNP genotyping provides genome wide coverage and can amplify thousands of markers
- SNP genetic markers are proxy markers that are located next to the disease gene, so it doesn’t identify the causal gene
1. Linkage analysis
2. Genome Wide Association Studies (GWAS)