Ontology highlight
ABSTRACT: Background
Current sequencing technologies have provided for a more comprehensive genome-wide assessment and have increased genotyping accuracy of rare variants. Scan statistic approaches have previously been adapted to genetic sequencing data. Unlike currently-employed association tests, scan-statistic-based approaches can both localize clusters of disease-related variants and, subsequently, examine the phenotype association within the resulting cluster. In this study, we present a novel Quantitative Phenotype Scan Statistic (QPSS) that extends an approach for dichotomous phenotypes to continuous outcomes in order to identify genomic regions where rare quantitative-phenotype-associated variants cluster.Results
We demonstrate the performance and practicality of QPSS with ex
SUBMITTER: Katsumata Y
PROVIDER: S-EPMC7229597 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature