title: Family-based association test using normal approximation to gene dropping null distribution.
abstract: We derive the analytical mean and variance of the score test statistic in gene-dropping simulations and approximate the null distribution of the test statistic by a normal distribution. We provide insights into the gene-dropping test by decomposing the test statistic into two components: the first component provides information about linkage, and the second component provides information about fine mapping under the linkage peak. We demonstrate our theoretical findings by applying the gene-dropping test to the simulated data set from Genetic Analysis Workshop 18 and comparing its performance with existing population and family-based association tests.
authors.affiliation: Department of Statistics, Oregon State University, Corvallis, OR 97331, USA.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Jiang
authors.affiliation: Department of Statistics, Oregon State University, Corvallis, OR 97331, USA.
authors.forename: Sarah
authors.initials: S
authors.lastname: Emerson
authors.affiliation: Department of Statistics, Oregon State University, Corvallis, OR 97331, USA.
authors.forename: Lu
authors.initials: L
authors.lastname: Wang
authors.affiliation: Department of Statistics, Oregon State University, Corvallis, OR 97331, USA.
authors.forename: Lujing
authors.initials: L
authors.lastname: Li
authors.affiliation: Department of Statistics, Oregon State University, Corvallis, OR 97331, USA.
authors.forename: Yanming
authors.initials: Y
authors.lastname: Di