paperKB
coga / coga-kb
Help
Sign in

Chunk #12 — 2 Methods — 2.3 Statistical analysis — 2.3.3 Variance estimation in genome partitioning

Source
Exploring the genetic architecture of alcohol dependence in African-Americans via analysis of a genomewide set of common variants.
Embedded
yes

Text

When the entire genome is partitioned in K parts, a multiple variance components model can be used to jointly estimate the variance components [33], (6)y=Xβ+∑k=1k=KWku+Cv+e,uk~N(0,σuk2I),v~N(0,συ2I),e~N(0,σe2I),where Wk is the standardized genotype matrix corresponding to the k-th part of the genome, and σuk2 is the corresponding variance component. Similarly, the proportion of variance explained by the k-th part is given by hk2=Mkσuk2∑kMkσuk2+σe2, where Mk is the number of markers in the k-th part. In this study, we used two approaches: Partitioning the genome into chromosomes.Partitioning the genome into genic and intergenic regions.