Final - Genetics Flashcards
(121 cards)
Quantitative genetics
the study of traits that can be described numerically
Any trait that varies measurably in a given species
Such traits that are usually controlled by more than one gene (complex traits)
Ex: height, metabolism rate, milk production, litter size
Why is quantitative genetics important?
Most of the key characteristics considered by plant and animal breeders are quantitative traits
Many human diseases are influenced by several genes
Many of the traits that allow a species to adapt to its environment are quantitative traits
In many cases, quantitative traits are easily ______ and described ______
measured; numerically
Ex: weight in kg, speed in km/hr, metabolic rate in grams of glucose burned per minute
The measurement of quantitative traits is essential when comparing individuals or evaluating groups of individuals
Discontinuous traits
Traits that fall into discrete categories
The alleles that govern these traits affect the phenotype in a qualitative way (ie: white or red eyes, short or long fur)
Frequency distribution
An alternative way to describe quantitative traits, as they do not naturally fall into a small number of discrete categories
To construct a frequency distribution, the trait is divided arbitrarily into a number of discrete phenotypic categories
Variance (Vx)
A common way to evaluate variation within a population
Vx = sum of (value - mean)^2/(degrees of freedom - 1)
Variances are very important in the analysis of quantitative traits because they are ______ under certain conditions
additive
The variances of factors that contribute to a quantitative trait can be added to predict the total variance for that trait
Standard variation (SD)
The square root of variance
Allows us to gain an intuitive grasp of variation
If the values in a population follow a normal distribution, then it is easier to appreciate the amount of variation by considering the standard deviation
Covariance (CoV(x,y))
Describes the degree of variation between two variables within a group
CoV(x,y) = sum[ (X - mean of X variables) (Y - mean of Y variables)]/(total pairs of observations -1)
Correlation coefficient (r)
Used to evaluate the strength of association between two variables
r(x,y) = CoV(x,y) / (standard deviation of X)(standard deviation of Y)
What do r>0, r=0, and r<0 mean (correlation coefficient)?
r value ranges between +1 and -1 and indicates how two factors can vary in relation to each other
If r > 0 –> as one factor increases, the other factor will increase with it
If r = 0 –> the two factors are not related
If r < 0 –> as one factor increases, the other factor will decrease
Like the Chi square value, the significance of the correlation coefficient is directly related to:
Sample size
Degrees of freedom
What hypothesis is used to test the correlation coefficient?
There is no real correlation (the null hypothesis)
The r value differs from 0 only as a matter of chance
This hypothesis being rejected means there is a real correlation between the two values
Hypothesis testing for the correlation coefficient is only valid if two assumptions are met:
- The values of X and Y are obtained by an unbiased sampling of the entire population
- The scores of X and Y follow a normal distribution and that the relationship between X and Y is linear
An r value that is statistically significant need not imply ____________
a cause-and-effect relationship
The positive association between factors may not be due to genetics
Rather, it may be rooted in environmental factors
Regression analysis
Predicts how much one variable will change in response to the other
Valid to use when it has been established that the variables are related due to cause and effect
Most quantitative traits are ________ and exhibit a continuum of ___________
polygenic; phenotypic variation
Polygenic inheritance
refers to the transmission of traits that are governed by two or more genes
Quantitative trait loci (QTLs)
The locations on chromosomes that affect the outcome of quantitative traits
QTLs are genomic regions (identified by molecular markers) that are often associated with a particular phenotype
QTLs may contain one or more genes, some or all of which may affect quantitative traits
Nilsson-Ehle Cross
P: True-breeding red X true-breeding white
F1: Intermediate red
F2: Great variation in redness (white, light red, intermediate red, medium red, dark red)
Nilsson-Ehle discovered that the colors fell into a 1:4:6:4:1 ratio
He concluded that this species is diploid for two different genes that control hull color
Each gene exists in two alleles: red or white
He hypothesized that these two loci must contribute additively to the color of the hull
The contribution of each red allele to the color of the hull is additive
Later, it was discovered that a third gene affects hull color
Many polygenic traits are __________ to categorize into several discrete genotypic categories
difficult or impossible
This is especially true when:
1. The number of genes controlling the trait increases
2. The influence of the environment increases
Therefore, a Punnett square cannot be used to analyze most quantitative traits, instead, statistical methods must be employed
What is the issue with trying to identify the genetic underpinnings of a disease with polygenic traits?
There are many genes that contribute these traits
Geneticists use ____________ to
determine the regions of the chromosome that are
associated with a particular trait
molecular marker analysis
After analysis of many genomes they might make associations with particular molecular markers and particular phenotypic outcomes= Quantitative Trait Loci (QTL)
Because many mutations are known in Drosophila, they can serve as _________
genetic markers