D. GWAS Flashcards
How to examine statistical association between genotypes and phenotypes?:
- A comparison is always made between two groups of samples. 2. The two groups are divided
- Study design 1 or 2 compares between two groups
- statistics test whether the two groups are significantly different or not.
What data is compared between 2 groups in GWAS designs?
D1: variant frequency — Increased frequency per variant/locus is analyzed throughout the entire genome.
D2 : average phenotype —Association is analyzed by comparing phenotypic means (distribution) between the two groups. Significantly different mean phenotype indicates an association.
How are individuals divided between 2 groups in GWAS designs?
D1: divided into categorical variants: unaffected and affected.
D2: divided into two phenotypic classes by genotype
In a diploid organism like a human, the two groups are divided by two distinct ways according to two inheritance models, recessive or dominant. At a given variant B,
The dominant model: all individuals with B/B or B/non-B genotype will be affected by B. The recessive model: only the individuals with B/B will be affected by B.
What do GWAS examine?
At a given population, GWAS examines statistical association between the genotype and phenotype in all possible examinable variant locations or loci.
An important note is that the identified variants in multi- genic phenotype study never reach to 100% frequency in the affected individuals,
Mendelian disease study depends on the variant frequency 100% in the affected individuals.
Why have we done so many GWAS studies before?
GWAS still discovers ‘associated variants’ to a phenotype (ex. cancer or diabetes) among the common variants.