In a GWAS experiment, 500,000 SNPs across the genome are genotyped in thousands of Case and Control individuals.Which statistical analysis should be applied and why?
A) A chi-square test for goodness of fit will test the null hypothesis that the distribution of each SNP allele is the same in Cases and Controls.
B) A chi-square test for goodness of fit can be used because this is a small number of SNPs.
C) A chi-square test for independence should be used to test the null hypothesis that the distribution of each SNP allele is the same in Cases and Controls.
D) A chi-square test for independence should be used to test the null hypothesis that each SNP is linked to a QTL.
Correct Answer:
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Q1: Complex quantitative traits often show
A)only one discrete
Q2: To test for statistical significance of the
Q3: Typically, multiple interacting genes and the environment
Q4: The genetic relatedness of two siblings is
A)2.0.
B)1.0.
C)0.5.
D)0.25.
E)0.75.
Q6: When the results of a GWAS experiment
Q7: Most complex quantitative traits
A)are affected by both
Q8: Introgressions are used to
A)fine map QTLs.
B)establish linkage
Q9: A SNP that can exist as a
Q10: In an experiment to distinguish genetic versus
Q11: Twins from two individual zygotes (dizygotic twins)
A)are
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