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F1000Research|September 17, 2016
Automated quality control for genome wide association studiesSally R Ellingson, David W FardoNeurobiology of Aging|January 30, 2017
Gene-based association study of genes linked to hippocampal sclerosis of aging neuropathology: GRN, TMEM106B, ABCC9, and KCNMB2Yuriko Katsumata, Peter T Nelson, Sally R Ellingson, et al.Alzheimer Disease and Associated Disorders|November 17, 2016
Genetic Comparison of Symptomatic and Asymptomatic Persons With Alzheimer Disease NeuropathologySarah E Monsell, Charles Mock, David W Fardo, et al.BMC Proceedings|December 17, 2016
On combining family- and population-based sequencing dataYuriko Katsumata, David W FardoBMC Medical Genetics|May 17, 2020
Quantitative phenotype scan statistic (QPSS) reveals rare variant associations with Alzheimer's disease endophenotypesYuriko Katsumata, David W FardoBMC Genetics|September 27, 2018
Association analyses of repeated measures on triglyceride and high-density lipoprotein levels: insights from GAW20Saurabh Ghosh, David W FardoClinical and Experimental Rheumatology|January 31, 2017
Detecting novel micro RNAs in rheumatoid arthritis with gene-based association testingAleksander Lenert, David W FardoBiochimica Et Biophysica Acta. General Subjects|February 15, 2020
Machine learning and ligand binding predictions: A review of data, methods, and obstaclesSally R Ellingson, Brian Davis, Jonathan AllenBMC Proceedings|December 17, 2016
Comparing performance of non-tree-based and tree-based association mapping methodsKatherine L Thompson, David W FardoFrontiers in Genetics|October 8, 2013
Combining genetic association study designs: a GWAS case studyJanice L Estus, , David W FardoPageof 19