5 Questions
Which factors affect the fate of new mutations in a population?
Drift, selection, and population history
What is the purpose of Principle Components Analysis (PCA) in population genetics?
To describe continuous axes of genetic variation
What does recombination do to the correlation between genetic variants?
Breaks down the correlation leaving a narrower range of correlation over generations
What is the term for when mates choose each other based on similarity?
Assortative mating
Which population shows the highest level of variants in LD blocks in the HapMap samples?
CHB+JPT
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.
Test your knowledge of population genetics and ancestry with this quiz! Explore topics such as genetic diversity, mutation, recombination, and linkage disequilibrium. Discover how new genetic variants are introduced into populations and how existing patterns of variation are reshuffled. Learn about the factors that affect the fate of new mutations, including drift, selection, and population history.
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