|Title||Analysis of secondary phenotypes in multigroup association studies.|
|Publication Type||Journal Article|
|Year of Publication||2020|
|Authors||Zhou, Fan, Haibo Zhou, Tengfei Li, and Hongtu Zhu|
|Date Published||2020 06|
|Keywords||Alzheimer Disease, Apolipoproteins E, Biometry, Case-Control Studies, Cognitive Dysfunction, Computer Simulation, Genetic Association Studies, Hippocampus, Humans, Likelihood Functions, Linear Models, Membrane Transport Proteins, Mitochondrial Precursor Protein Import Complex Proteins, Models, Statistical, Monte Carlo Method, Neuroimaging, Phenotype, Polymorphism, Single Nucleotide, Regression Analysis|
Although case-control association studies have been widely used, they are insufficient for many complex diseases, such as Alzheimer's disease and breast cancer, since these diseases may have multiple subtypes with distinct morphologies and clinical implications. Many multigroup studies, such as the Alzheimer's Disease Neuroimaging Initiative (ADNI), have been undertaken by recruiting subjects based on their multiclass primary disease status, while extensive secondary outcomes have been collected. The aim of this paper is to develop a general regression framework for the analysis of secondary phenotypes collected in multigroup association studies. Our regression framework is built on a conditional model for the secondary outcome given the multigroup status and covariates and its relationship with the population regression of interest of the secondary outcome given the covariates. Then, we develop generalized estimation equations to estimate the parameters of interest. We use both simulations and a large-scale imaging genetic data analysis from the ADNI to evaluate the effect of the multigroup sampling scheme on standard genome-wide association analyses based on linear regression methods, while comparing it with our statistical methods that appropriately adjust for the multigroup sampling scheme. Data used in preparation of this article were obtained from the ADNI database.
|Original Publication||Analysis of secondary phenotypes in multigroup association studies.|
|PubMed Central ID||PMC7085961|
|Grant List||P30 ES010126 / ES / NIEHS NIH HHS / United States |
116527 / MH / NIMH NIH HHS / United States
R01 MH086633 / MH / NIMH NIH HHS / United States
086633 / MH / NIMH NIH HHS / United States
P01 CA142538 / CA / NCI NIH HHS / United States
R01 MH092335 / MH / NIMH NIH HHS / United States
Analysis of secondary phenotypes in multigroup association studies.