Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology
Tanigawa et al. 2019, Nature Communications

Please check our publication for more information.

Version 0.10

Yosuke Tanigawa and Manuel A. Rivas

Y.T. developed the web application. M.A.R designed and supervised the study.

Squared cosine scores

Given a phenotype/variant, we can explorer which principal components are imporant for the selected phenotype/variant.

Phenotype squared cosine score for

Which PCs are important for phenotype ?

Variant squared cosine score for

Which PCs are important for variants ?

Contribution scores for

Given a PC, we can explorer the contribution of the phenotypes/variants to that component.

Phenotype contribution score

Which phenotype is important for ?

Do not open phenotype page

Open the phenotype page on click

Variant/Gene contribution score

Which variants are important for ?

Do not open variant page

Open the variant/gene page on click

Global summary of contribution scores

Summary of phenotype contribution scores (phenotypes with 1% > contribution scores are shown)

Summary of gene contribution scores (genes with 1% > contribution scores are shown)

Singular value decomposition of summary statistics matrix

PCA plot for phenotypes

Info Fetching data.

PCA plot for variants

Info Fetching data.

Scree plot (Variance explained plot)

About this dataset: dev_allNonMHC_z_center_p0001_100PCs_20180123

Note that Coordinated Universal Time (UTC) is 7 hours ahead of Pacific Time

Video Tutorial for Decomposition App

Yosuke explains the decomposition app and teaches viewers how to interpret scores and plots using examples. The coding variants is used as an example.

Frequently Asked Questions