title: Comparison of results from tests of association in unrelated individuals with uncollapsed and collapsed sequence variants using tiled regression.
abstract: Tiled regression is an approach designed to determine the set of independent genetic variants that contribute to the variation of a quantitative trait in the presence of many highly correlated variants. In this study, we evaluate the statistical properties of the tiled regression method using the Genetic Analysis Workshop 17 data in unrelated individuals for traits Q1, Q2, and Q4. To increase the power to detect rare variants, we use two methods to collapse rare variants and compare the results with those from the uncollapsed data. In addition, we compare the tiled regression method to traditional tests of association with and without collapsed rare variants. The results show that collapsing rare variants generally improves the power to detect associations regardless of method, although only variants with the largest allelic effects could be detected. However, for traditional simple linear regression, the average estimated type I error is dependent on the trait and varies by about three orders of magnitude. The estimated type I error rate is stable for tiled regression across traits.
authors.affiliation: Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA. afw@mail.nih.gov.
authors.forename: Heejong
authors.initials: H
authors.lastname: Sung
authors.forename: Yoonhee
authors.initials: Y
authors.lastname: Kim
authors.forename: Juanliang
authors.initials: J
authors.lastname: Cai
authors.forename: Cheryl D
authors.initials: CD
authors.lastname: Cropp
authors.forename: Claire L
authors.initials: CL
authors.lastname: Simpson
authors.forename: Qing
authors.initials: Q
authors.lastname: Li
authors.forename: Brian C
authors.initials: BC
authors.lastname: Perry
authors.forename: Alexa Jm
authors.initials: AJ
authors.lastname: Sorant
authors.forename: Joan E
authors.initials: JE
authors.lastname: Bailey-Wilson
authors.forename: Alexander F
authors.initials: AF
authors.lastname: Wilson