11 Questions
What is the primary focus of GWA studies?
Studying the correlation between SNPs and a particular trait
What is the significance of the HapMap Project in GWA studies?
It demonstrates the high correlation between neighboring SNPs
What is the advantage of array-based technology in GWA studies?
It allows for the examination of variation across the whole genome in large samples
What was a key lesson learned from early GWA studies?
The need to study extremely large samples
What is the target P value for GWA studies?
Not specified in the content
What is the main motivation for not genotyping all SNPs in GWA studies?
Because many SNPs are highly correlated with neighboring SNPs
What is a major challenge in GWA studies that requires extremely large sample sizes?
The need to correct for multiple testing
What has made it possible to examine variation across the whole genome in large samples?
Array-based technology
What is a characteristic of the common variants identified in GWA studies?
They have a small odds ratio for risk
What is a primary goal of GWA studies?
To identify common alleles associated with a particular trait
What is the estimated target P value for GWA studies?
Not specified in the text
Study Notes
Genome-Wide Association (GWA) Studies
- GWA studies examine common alleles throughout the genome for association with a particular trait.
- The HapMap Project annotation of millions of single nucleotide polymorphisms (SNPs) has demonstrated that many SNPs are highly correlated with neighboring SNPs.
- As a result, it is not necessary to genotype all SNPs to gain a nearly complete coverage of common variation in the genome.
Genotyping Technology
- Array-based technology has made it possible to genotype millions of SNPs on a single array.
- This technology has made the examination of variation across the whole genome in large samples more feasible.
Early GWA Studies
- The earliest GWA studies were not particularly fruitful.
- However, they provided useful lessons, including the need to study extremely large samples.
- This is due to the need to correct for the enormous multiple testing involved and the small odds ratios for risk conferred by the common variants.
Statistical Significance
- GWA studies require a target of P value of 5 x 10^-8 to ensure statistical significance.
Genome-Wide Association (GWA) Studies
- GWA studies examine common alleles throughout the genome for association with a particular trait.
- The HapMap Project annotation of millions of single nucleotide polymorphisms (SNPs) has demonstrated that many SNPs are highly correlated with neighboring SNPs.
- As a result, it is not necessary to genotype all SNPs to gain a nearly complete coverage of common variation in the genome.
Genotyping Technology
- Array-based technology has made it possible to genotype millions of SNPs on a single array.
- This technology has made the examination of variation across the whole genome in large samples more feasible.
Early GWA Studies
- The earliest GWA studies were not particularly fruitful.
- However, they provided useful lessons, including the need to study extremely large samples.
- This is due to the need to correct for the enormous multiple testing involved and the small odds ratios for risk conferred by the common variants.
Statistical Significance
- GWA studies require a target of P value of 5 x 10^-8 to ensure statistical significance.
This quiz explores genome-wide association studies, including the HapMap Project and the genotyping of single nucleotide polymorphisms (SNPs) to understand common variation in the genome.
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