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What is the typical frequency of recombination events per chromosome during meiosis?
What is the typical frequency of recombination events per chromosome during meiosis?
Recombination occurs more frequently in the middle regions of the chromosome.
Recombination occurs more frequently in the middle regions of the chromosome.
False
What discovery did Thomas Hunt Morgan make regarding genes on chromosomes?
What discovery did Thomas Hunt Morgan make regarding genes on chromosomes?
Genes are organized in a row on the chromosome.
The different versions of orthologous genes at a specific chromosome location are called __________.
The different versions of orthologous genes at a specific chromosome location are called __________.
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Match the following terms with their definitions:
Match the following terms with their definitions:
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What is the main purpose of meiosis?
What is the main purpose of meiosis?
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Genetic recombination occurs during the formation of diploid cells.
Genetic recombination occurs during the formation of diploid cells.
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What term describes a cell with only one copy of a genome?
What term describes a cell with only one copy of a genome?
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During meiosis, _________ is the process where new combinations of alleles are created in haploid cells.
During meiosis, _________ is the process where new combinations of alleles are created in haploid cells.
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What type of recombination involves the exchange of chromosome segments between homologous chromosomes?
What type of recombination involves the exchange of chromosome segments between homologous chromosomes?
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What is the result of independent assortment during meiosis?
What is the result of independent assortment during meiosis?
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Most animals and plants are haploid organisms.
Most animals and plants are haploid organisms.
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What can individuals be considered as regarding their genetic makeup?
What can individuals be considered as regarding their genetic makeup?
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Ancestral recombination events can be identified from a pedigree with low genotyping resolution.
Ancestral recombination events can be identified from a pedigree with low genotyping resolution.
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Name one method used to capture population structure.
Name one method used to capture population structure.
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An individual is often regarded as a mixture of the genes from its maternal and paternal __________.
An individual is often regarded as a mixture of the genes from its maternal and paternal __________.
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Match the following terms with their appropriate descriptions:
Match the following terms with their appropriate descriptions:
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What is the primary function of Pritchard's Structure program?
What is the primary function of Pritchard's Structure program?
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Non-random mating can result from random chance.
Non-random mating can result from random chance.
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What is one potential consequence of a prevalent polymorphism in a population?
What is one potential consequence of a prevalent polymorphism in a population?
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What is one limitation of Quantitative Trait Loci (QTL) mapping?
What is one limitation of Quantitative Trait Loci (QTL) mapping?
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Association mapping populations can easily be created using closely related individuals.
Association mapping populations can easily be created using closely related individuals.
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What is the typical size of populations used for QTL mapping?
What is the typical size of populations used for QTL mapping?
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Association mapping populations can have sizes greater than _____ individuals in some human studies.
Association mapping populations can have sizes greater than _____ individuals in some human studies.
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Match the following population characteristics with their descriptions:
Match the following population characteristics with their descriptions:
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Who developed the first genetic map in 1911?
Who developed the first genetic map in 1911?
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The distance between markers in a genetic map is measured in physical base pairs.
The distance between markers in a genetic map is measured in physical base pairs.
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What is the term used to describe the percentage chance of recombination occurring between two markers?
What is the term used to describe the percentage chance of recombination occurring between two markers?
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A genetic map is created from the __________ that differ in the traits under investigation.
A genetic map is created from the __________ that differ in the traits under investigation.
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Match the types of mapping populations with their descriptions:
Match the types of mapping populations with their descriptions:
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What does a distance of 1 centimorgan (cM) mean in terms of recombination likelihood?
What does a distance of 1 centimorgan (cM) mean in terms of recombination likelihood?
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Modern mapping populations are typically not genotyped for analysis.
Modern mapping populations are typically not genotyped for analysis.
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What are the two key outcomes of identifying genes involved in controlling traits through genetic mapping?
What are the two key outcomes of identifying genes involved in controlling traits through genetic mapping?
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What does the eigenvalue represent in a PCA?
What does the eigenvalue represent in a PCA?
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Kinship matrices are only relevant for analyzing populations with no related individuals.
Kinship matrices are only relevant for analyzing populations with no related individuals.
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What rule of thumb is used to determine the number of populations in PCA modeling?
What rule of thumb is used to determine the number of populations in PCA modeling?
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A kinship matrix captures the relationships among individuals as a __________ value.
A kinship matrix captures the relationships among individuals as a __________ value.
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Why is it important to account for kinship in population analysis?
Why is it important to account for kinship in population analysis?
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A heat map can visually represent kinship values among individuals in a population.
A heat map can visually represent kinship values among individuals in a population.
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What does IBD signify in the context of a kinship matrix?
What does IBD signify in the context of a kinship matrix?
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The __________ along the top and side of a heat map shows how individuals cluster together by kinship.
The __________ along the top and side of a heat map shows how individuals cluster together by kinship.
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What can happen if relatedness among individuals is not accounted for in analysis?
What can happen if relatedness among individuals is not accounted for in analysis?
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Study Notes
Lecture 10b - Population Analysis and Marker Trait Associations
- Topics covered include population analysis, marker-trait associations, and bioinformatics.
- A workflow diagram illustrates the process, starting with DNA sequencing and quality control, followed by DNA assembly, DNA read mapping, genome annotation, expression analysis, genotyping, and ending with polymorphism discovery and marker-trait associations.
Learning Objectives
- Understand the relationship between genome recombination and genotyping.
- Discuss approaches for measuring individual relatedness in a population.
- Present various machine learning approaches to assign individuals to subpopulations.
- Discuss genetic mapping approaches and their strengths/weaknesses.
- Understand methods for identifying and interpreting marker-trait associations.
Meiosis
- Meiosis is specialized cell division for gamete production, resulting in four haploid daughter cells.
- It's a multi-stage process where homologous chromosomes are shuffled.
- A haploid cell has one copy of a genome, while a diploid cell has two.
- Genetic recombination occurs during the creation of haploid cells.
Recombination
- Recombination creates new allele combinations in haploid cells.
- Interchromosomal recombination involves shuffling whole chromosomes.
- Intrachromosomal recombination involves exchanging chromosome segments.
- Recombination typically occurs 2-3 times per chromosome per meiosis.
- Recombination frequency varies across the genome.
Genotyping
- Genotype states at a particular position are called "alleles."
- Alleles are slightly different versions of orthologous genes at the same chromosomal location.
- Alleles can be used to track chromosome segments over generations.
- The more genotyping locations, the more accurate location of recombination events.
- A genotype associated with a phenotype is a genetic marker.
Ancestry
- An individual is a mixture of genes from maternal and paternal parents.
- Individuals are mosaics of all contributing generations.
- Identifying shared ancestral alleles among individuals quantifies relatedness.
- This information can be used to create phylogenetic trees.
Individuals are Genome Mosaics
- Individuals are genome mosaics, containing regions inherited from different ancestors in different generations.
- This can be visualized with colourful segments, each colour representing a different parent.
Population Structure
- Allele frequencies in randomly mating populations should be stable.
- Non-random mating causes population structure in allele frequencies.
- Factors influencing non-random mating include physical separation, gene flow, evolutionary pressure, culture, and random chance.
- Polymorphisms may be prevalent in a population with a high incidence of a trait. Correcting for population structure is crucial and should be accounted for during marker-trait association analyses.
Pritchard's Structure
- It's a clustering program used with genotype data to infer subpopulations.
- It helps to model the groupings of individuals.
- The number of subpopulations and their assignment to individuals must be defined.
Principle Component Analysis (PCA)
- PCA is an unsupervised machine learning technique to simplify high-dimensional data sets.
- It finds the most varying axes (PC) in the multidimensional space (e.g., SNPs).
- With vast amounts of genetic data, PCA identifies clusters of similar individuals.
- It helps to visualize relationships between individuals, identify groups of high genetic similarity, and correct for population structure during marker-trait analysis.
Linkage Disequilibrium (LD)
- Linkage disequilibrium (LD) is a measure of non-random association between alleles.
- It often occurs when alleles are physically close together on a chromosome segment such as in gene loci.
- The software PLINK is often used to prune marker sets to ensure independence.
Scree Plots
- Scree plots are graphs displaying eigenvalues from a PCA.
- Eigenvalues show how much of the variance is explained by each PC.
- "Elbow" in the plot indicates the point where adding more PCs doesn't significantly improve variance explanation.
- The "elbow" point helps determine the number of PCs to use in downstream analyses.
Kinship Matrix
- Kinship matrix captures relationships among individuals numerically.
- The values represent the probability of randomly sampled alleles from individuals being identical by descent (IBD).
- IBD means alleles are inherited from a common ancestor.
- It is used in population analyses to control for relatedness and avoid spurious results.
- A heat map of kinship values shows the degree of relatedness between individuals.
Genetic Mapping
- The first genetic map was developed by Alfred Sturtevant in 1911.
- Genetic maps use phenotypic observations, not genotypes.
- Genetic distances are measured in centimorgans (cM). A 1 cM difference means there is a 1% chance of recombination between two loci.
- Genetic mapping helps determine relations between genes and markers.
Types of Mapping Populations
- Three main types: Bi-parental, Genome-Wide Association Studies (GWAS), and Multi-parent.
- Bi-parental involves crossing two parents to study traits.
- GWAS studies large populations to find associations between hundreds of genetic markers and the trait of interest.
- Multi-parent populations involve complex crossing schemes to thoroughly shuffle parent genetics within offspring across generations.
Bi-Parental Populations
- Created from two parents differing in their traits.
- A genetic map is generated from the progeny, showing the relationships between traits and genomic regions (QTL).
- Larger populations refine the identification of genes controlling traits. Larger populations increase recombination and resolve the location of genes more precisely.
Association Mapping Populations
- These are collections of individuals, avoiding closely related individuals.
- They rely on historical recombination events to understand marker-trait relationships within the population.
- These populations are helpful for understanding complex traits that are frequently varying within a population and they can also identify genes responsible for those traits.
- Population sizes can be large (>100,000 individuals).
Multi-Parent Populations
- Use complex crossing strategies to thoroughly mix parental genetics into offspring.
- Populations have a fixed number of parents.
- Better for mapping traits than bi-parental populations.
Genome-Wide Association Study (GWAS)
- Uses a large population to relate the genotype to a phenotype.
- Creates a graph showing -log(P) scores for various points.
NAM (Nested Association Mapping) Populations
- Involve controlled crossing of a few parents and involves culling and genotyping for multiple generations.
MAGIC (Mulit-parent Advanced Generation Inter-Cross) Populations
- Involve complex crossing schemes.
- Shuffles genetics across multiple generations.
- Provides better association mapping resolution than bi-parental and GWAS, similar to NAM populations.
Genomic Selection (GS)
- Uses high-density genotyping to predict breeding trait values of individuals.
Future of Marker-Trait Association
- Current methods (e.g., bi-parental mapping, GWAS, genomic selection) often assume linear, additive relationships.
- There is a growing interest in deep neural networks to identify non-linear, and complex relationships between genes and traits.
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Description
This quiz focuses on population analysis and marker-trait associations within the context of bioinformatics. It covers the workflow from DNA sequencing to polymorphism discovery, emphasizing the role of meiosis and genomic recombination in genetic mapping and individual relatedness. Explore how machine learning integrates into genetic research methodologies.