Question

Why the significance levels used in GWAS studies are very stringent?

	A.	To avoid false negative
	B.	To avoid false positive
	C.	To select only the variants with large effects
	D.	To filter the variants with very small effects
	E.	To coordinate with the complexity of gene interactions

Answer 1

Answer - B. To avoid false positive

GWAS - Genome wide association studies, in this study method, genome analysis of different people or patients are studied to map disease gene variations or gene markers whose presence might lead to an identification of a particular disease. Especially it is very effective to study large populations and also to study single nucleotide polymorphisms. P-value in GWAS is set to a threshold value of p 5 x10-8 is a standard for common variance in GWAS. This tells us the potential of a variance to indicate a disease. In GWAS this threshold value ensures that the significance value is stringent enough to rule out false positives.