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Presentation
Penalized Functional Regression for Next-Generation Sequencing Studies
(2015)
  • Olga A. Vsevolozhskaya, Michigan State University
Abstract

Recent technological advances equipped researchers with capabilities that go beyond traditional genotyping of loci known to be polymorphic in a general population. Genetic sequences of study participants can now be assessed directly. This capability removed technology-driven bias toward scoring predominantly common polymorphisms and let researchers reveal a wealth of rare and sample-specific variants. While the relative contributions of rare and common polymorphisms to trait variation are being debated, researchers are faced with the need for new statistical tools for simultaneous evaluation of all variants within a region. Several research groups demonstrated flexibility and good statistical power of the functional linear model approach.

Keywords
  • Penalized Functional Regression,
  • Sequencing Studies
Disciplines
Publication Date
August 10, 2015
Citation Information
Olga A. Vsevolozhskaya. "Penalized Functional Regression for Next-Generation Sequencing Studies" (2015)
Available at: http://works.bepress.com/vsevolozhskaya/10/