MiDAS-Meaningful Immunogenetic Data at Scale.
PLoS Comput Biol
; 17(7): e1009131, 2021 07.
Article
in En
| MEDLINE
| ID: mdl-34228721
ABSTRACT
Human immunogenetic variation in the form of HLA and KIR types has been shown to be strongly associated with a multitude of immune-related phenotypes. However, association studies involving immunogenetic loci most commonly involve simple analyses of classical HLA allelic diversity, resulting in limitations regarding the interpretability and reproducibility of results. We here present MiDAS, a comprehensive R package for immunogenetic data transformation and statistical analysis. MiDAS recodes input data in the form of HLA alleles and KIR types into biologically meaningful variables, allowing HLA amino acid fine mapping, analyses of HLA evolutionary divergence as well as experimentally validated HLA-KIR interactions. Further, MiDAS enables comprehensive statistical association analysis workflows with phenotypes of diverse measurement scales. MiDAS thus closes the gap between the inference of immunogenetic variation and its efficient utilization to make relevant discoveries related to immune and disease biology. It is freely available under a MIT license.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Software
/
Computational Biology
/
Databases, Genetic
/
Immunogenetic Phenomena
Limits:
Humans
Language:
En
Journal:
PLoS Comput Biol
Journal subject:
BIOLOGIA
/
INFORMATICA MEDICA
Year:
2021
Type:
Article
Affiliation country:
Poland