Expanded utility of the R package, qgg, with applications within genomic medicine

Palle Duun Rohde; Izel Fourie Sørensen; Peter Sørensen

doi:10.1093/bioinformatics/btad656

Expanded utility of the R package, qgg, with applications within genomic medicine

Palle Duun Rohde^*, Izel Fourie Sørensen, Peter Sørensen

^*Corresponding author for this work

Center for Quantitative Genetics and Genomics

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

6 Citations (Scopus)

Abstract

Here, we present an expanded utility of the R package qgg for genetic analyses of complex traits and diseases. One of the major updates of the package is, that it now includes Bayesian linear regression modeling procedures, which provide a unified framework for mapping of genetic variants, estimation of heritability and genomic prediction from either individual level data or from genome-wide association study summary data. With this release, the qgg package now provides a wealth of the commonly used methods in analysis of complex traits and diseases, without the need to switch between software and data formats.

Original language	English
Article number	btad656
Journal	Bioinformatics (Oxford, England)
Volume	39
Issue	11
ISSN	1367-4803
DOIs	https://doi.org/10.1093/bioinformatics/btad656
Publication status	Published - Nov 2023

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abstract = "Here, we present an expanded utility of the R package qgg for genetic analyses of complex traits and diseases. One of the major updates of the package is, that it now includes Bayesian linear regression modeling procedures, which provide a unified framework for mapping of genetic variants, estimation of heritability and genomic prediction from either individual level data or from genome-wide association study summary data. With this release, the qgg package now provides a wealth of the commonly used methods in analysis of complex traits and diseases, without the need to switch between software and data formats.",

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Expanded utility of the R package, qgg, with applications within genomic medicine

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