A conditional gene-based association framework integrating isoform-level eQTL data reveals new susceptibility genes for schizophrenia

Linkage disequilibrium and disease-associated variants in the non-coding regions make it difficult to distinguish the truly associated genes from the redundantly associated genes for complex diseases. In this study, we proposed a new conditional gene-based framework called eDESE that leveraged an im...

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Detalles Bibliográficos
Autores principales: Li, Xiangyi, Jiang, Lin, Xue, Chao, Li, Mulin Jun, Li, Miaoxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005191/
https://www.ncbi.nlm.nih.gov/pubmed/35412455
http://dx.doi.org/10.7554/eLife.70779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005191/
https://www.ncbi.nlm.nih.gov/pubmed/35412455
http://dx.doi.org/10.7554/eLife.70779

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