Heritable Component Analysis

This package includes two methods that identify heritable component of a complex trait (such as substance use disorder) characterized by multiple low-level phenotypes. One method is maximum likelihood based and the other one is restricted maximum likelihood based. The two methods were firstly implemented using Matlab.

Click here to download the Matlab Implementation.

We then have made a significant effort to optimize the algorithms using C++. The C++ package creates a pipeline that includes a full set of functions: heritability estimation, kinship matrix generation, and heritable component analysis. This package was largely created by Daniel Ruskin, Jiangwen Sun, and Jinbo Bi.

Click here to go to our github webpage for the optimized C++ version of Heritable Component Analysis.

Related Publications:

Refining Multivariate Disease Phenotypes for High Chip Heritability
Jiangwen Sun, Henry R Kranzler and Jinbo Bi
BMC Medical Genomics, 8 (Suppl 3), 2015

An Effective Method to Identify Heritable Components from Multivariate Phenotypes
Jiangwen Sun, Henry R Kranzler and Jinbo Bi
PloS One, 10 (12), 2015