2023
A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases
Liu W, Deng W, Chen M, Dong Z, Zhu B, Yu Z, Tang D, Sauler M, Lin C, Wain L, Cho M, Kaminski N, Zhao H. A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases. PLOS Genetics 2023, 19: e1010825. PMID: 37523391, PMCID: PMC10414598, DOI: 10.1371/journal.pgen.1010825.Peer-Reviewed Original ResearchConceptsCell typesDisease-associated tissuesWide association studyComplex diseasesCell type proportionsDisease-relevant tissuesReal GWAS dataFunctional genesTranscriptomic dataGWAS dataGenetic dataAssociation studiesNovel statistical frameworkChronic obstructive pulmonary diseaseStatistical frameworkObstructive pulmonary diseaseIdiopathic pulmonary fibrosisBreast cancer riskType proportionsBlood CD8Pulmonary diseasePulmonary fibrosisPredictive biomarkersLung tissueBreast cancerRobustness of quantifying mediating effects of genetically regulated expression on complex traits with mediated expression score regression
Chen Lin, Wei Liu, Wei Jiang, Hongyu Zhao, Robustness of quantifying mediating effects of genetically regulated expression on complex traits with mediated expression score regression, Biology Methods and Protocols, Volume 8, Issue 1, 2023, bpad024, https://doi.org/10.1093/biomethods/bpad024Peer-Reviewed Original Research
2021
MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization
Chen Lin, Kevin Wang & Samuel Mueller (2021) MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization, Journal of Computational and Graphical Statistics, 30:1, 125-132, DOI: 10.1080/10618600.2020.1779729Peer-Reviewed Original Research