Assessing statistical significance in variance components linkage analysis: A theoretical justification
نویسندگان
چکیده
منابع مشابه
Assessing genomewide statistical significance in linkage studies.
Assessment of genomewide statistical significance in multipoint linkage analysis is a thorny problem. The existing analytical solutions rely on strong assumptions (i.e., infinitely dense or equally spaced genetic markers that are fully informative and completely observed, and a single type of relative pair) which are rarely satisfied in real human studies, while simulation-based methods are com...
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BACKGROUND When subjects are measured multiple times, linkage analysis needs to appropriately model these repeated measures. A number of methods have been proposed to model repeated measures in linkage analysis. Here, we focus on assessing the impact of repeated measures on the power and cost of a linkage study. METHODS We describe three alternative extensions of the variance components appro...
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MOTIVATION Although Genome Wide Association Studies (GWAS) genotype a very large number of single nucleotide polymorphisms (SNPs), the data are often analyzed one SNP at a time. The low predictive power of single SNPs, coupled with the high significance threshold needed to correct for multiple testing, greatly decreases the power of GWAS. RESULTS We propose a procedure in which all the SNPs a...
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Williams & Blangero (1999) derived closed form expressions for the power of a univariate variance components test of linkage for a variety of pedigree structures. We have extended their results by investigating the effect of including monozygotic twins in the design on the power to detect linkage. Specifically, we determined the power associated with a pedigree of size three, where individuals ...
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ژورنال
عنوان ژورنال: Journal of Statistical Planning and Inference
سال: 2016
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2016.06.002