%0 Journal Article %1 Chen15022016 %A Chen, Ming-Huei %A Yang, Qiong %D 2016 %J Bioinformatics %K bioinformatics genetics %N 4 %P 624-626 %R 10.1093/bioinformatics/btv609 %T RVFam: an R package for rare variant association analysis with family data %U http://bioinformatics.oxfordjournals.org/content/32/4/624.abstract %V 32 %X Summary: Family-based designs offer unique advantage for identifying rare risk variants in genetic association studies. There are existing tools for analyzing rare variants in families but lacking components to handle binary traits properly and survival traits. In this report, we introduce an R software package RVFam (Rare Variant association analysis with Family data) designed to analyze continuous, binary and survival traits against rare and common sequencing variants in genome-wide association studies (GWAS) involving family data. Single and multiple variant association tests were implemented while accounting for arbitrary family structures. Extensive simulation studies were performed to evaluate all the approaches implemented in RVFam.Availability and Implementation: http://cran.r-project.org/web/packages/RVFam/Contact: qyang@bu.eduSupplementary information: Supplementary data are available at Bioinformatics online.

@article{Chen15022016, abstract = {Summary: Family-based designs offer unique advantage for identifying rare risk variants in genetic association studies. There are existing tools for analyzing rare variants in families but lacking components to handle binary traits properly and survival traits. In this report, we introduce an R software package RVFam (Rare Variant association analysis with Family data) designed to analyze continuous, binary and survival traits against rare and common sequencing variants in genome-wide association studies (GWAS) involving family data. Single and multiple variant association tests were implemented while accounting for arbitrary family structures. Extensive simulation studies were performed to evaluate all the approaches implemented in RVFam.Availability and Implementation: http://cran.r-project.org/web/packages/RVFam/Contact: qyang@bu.eduSupplementary information: Supplementary data are available at Bioinformatics online.}, added-at = {2016-02-08T12:20:40.000+0100}, author = {Chen, Ming-Huei and Yang, Qiong}, biburl = {https://www.bibsonomy.org/bibtex/25f3dbe09608d4d03dd9859d7df3aeb38/gwotto}, doi = {10.1093/bioinformatics/btv609}, eprint = {http://bioinformatics.oxfordjournals.org/content/32/4/624.full.pdf+html}, interhash = {01b486d980ce86352122ef0a794e320e}, intrahash = {5f3dbe09608d4d03dd9859d7df3aeb38}, journal = {Bioinformatics}, keywords = {bioinformatics genetics}, number = 4, pages = {624-626}, timestamp = {2016-02-08T12:20:40.000+0100}, title = {RVFam: an R package for rare variant association analysis with family data}, url = {http://bioinformatics.oxfordjournals.org/content/32/4/624.abstract}, volume = 32, year = 2016 }