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Questions and Answers
Which factors affect the fate of new mutations in a population?
Which factors affect the fate of new mutations in a population?
- Assortative mating and genetic diversity
- Drift, selection, and population history (correct)
- Linkage disequilibrium and recombination
- Recombination and haplotype background
What is the purpose of Principle Components Analysis (PCA) in population genetics?
What is the purpose of Principle Components Analysis (PCA) in population genetics?
- To introduce novel variants into the population
- To group variants in LD blocks
- To describe continuous axes of genetic variation (correct)
- To re-shuffle the existing patterns of variation
What does recombination do to the correlation between genetic variants?
What does recombination do to the correlation between genetic variants?
- Reshuffles the existing patterns of variation
- Breaks down the correlation leaving a narrower range of correlation over generations (correct)
- Groups variants in LD blocks
- Introduces novel variants into the population
What is the term for when mates choose each other based on similarity?
What is the term for when mates choose each other based on similarity?
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Which population shows the highest level of variants in LD blocks in the HapMap samples?
Which population shows the highest level of variants in LD blocks in the HapMap samples?
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Study Notes
Factors Affecting the Fate of New Mutations
- Multiple factors influence the fate of new mutations in a population, including genetic drift, mutation rate, genetic hitchhiking, and natural selection.
Principle Components Analysis (PCA)
- The purpose of PCA in population genetics is to identify and visualize patterns of genetic variation in a population, reducing the dimensionality of large datasets to reveal underlying structure.
Recombination and Correlation
- Recombination breaks down the correlation between genetic variants, increasing genetic diversity by shuffling alleles and creating new combinations.
Assortative Mating
- Assortative mating occurs when mates choose each other based on similarity, leading to a higher degree of homozygosity in the population.
LD Blocks in HapMap Samples
- The Yoruba population from Ibadan, Nigeria (YRI) shows the highest level of variants in LD blocks in the HapMap samples, indicating a higher degree of linkage disequilibrium.
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