Ryan L. Collins

Learn More
BACKGROUND Epistasis has been historically used to describe the phenomenon that the effect of a given gene on a phenotype can be dependent on one or more other genes, and is an essential element for understanding the association between genetic and phenotypic variations. Quantifying epistasis of orders higher than two is very challenging due to both the(More)
Identifying high-order genetics associations with non-additive (i.e. epistatic) effects in population-based studies of common human diseases is a computational challenge. Multifactor dimensionality reduction (MDR) is a machine learning method that was designed specifically for this problem. The goal of the present study was to apply MDR to mining high-order(More)
Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: AUTHOR CONTRIBUTIONS Designed the study and wrote the manuscript (T.T., A.C.); edited manuscript (all authors); examined phenotype data for the female autism patients (T. SUMMARY(More)
Recurrent, reciprocal genomic disorders resulting from non-allelic homologous recombination (NAHR) between near-identical segmental duplications (SDs) are a major cause of human disease, often producing phenotypically distinct syndromes. The genomic architecture of flanking SDs presents a challenge for modeling these syndromes; however, the capability to(More)
  • 1