Subject Selection for Sequencing in Pedigrees
GIGI-Pick is a computer program that facilitates the evaluation and comparison of subject selection choices in sequencing studies in pedigrees.
This program uses a "coverage" as one metric to naturally relate pedigree-based genotype imputation to subject selection.
This metric enables the use of inferred inheritance vectors (IVs) to optimize imputation of alleles in candidate regions when such information is available.
Our approach can incorporate information about IVs to guide subject selection for sequencing. If a candidate region is not available, a variant of this metric may be used to optimize selection genome-wide.
ReferenceCheung CYK, Blue EM, Wijsman EM (2014) A statistical framework to guide sequencing choices in pedigrees. American Journal of Human Genetics 94:257-267.[link]
Disclaimer and future directionsGIGI-Pick is in beta version. If you find any bugs, please contact us.
The latest version of GIGI-Pick, along with example files, is available
here (current version: 1.06). [documentation].
Please use GIGI-Pick version 1.06 or later. The program is written in C++ and runs on Linux machines.
With this release, GIGI-Pick is now compatible with MORGAN version 3.2. You can download MORGAN version 3.2 and find links to a user tutorial here
We no longer support MORGAN version 3.1.1, but the gl_auto version 3.1.1 tutorial is available here for users who have files in this older format.
This work was supervised by Professor Ellen M. Wijsman
last updated: February 2, 2015