BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250812T113541EDT-2693xcvhjv@132.216.98.100 DTSTAMP:20250812T153541Z DESCRIPTION:Fisher’s method revisited: set-based genetic association and in teraction studies.\n\nFisher’s method\, also known as Fisher’s combined pr obability test\, is commonly used in meta-analyses to combine p-values fro m the same test applied to K independent samples to evaluate a common null hypothesis. Here we propose to use it to combine p-values from different tests applied to the same sample in two settings: when jointly analyzing m ultiple genetic variants in set-based genetic association studies\, or whe n jointly capturing main and interaction effects in the presence of missin g one of the interacting variables. In the first setting\, we show that ma ny existing methods (e.g. the so called burden test and SKAT) can be class ified into a class of linear statistics and another class of quadratic sta tistics\, where each class is powerful only in part of the high-dimensiona l parameter space. In the second setting\, we show that the class of scale -tests for heteroscedasticity can be utilized to indirectly identify unspe cified interaction effects\, complementing the class of location-tests des igned for detecting main effects only. In both settings\, we show that the two classes of tests are asymptotically independent of each other under t he global null hypothesis. Thus\, we can evaluate the significance of the resulting Fisher’s test statistic using the chi-squared distribution with four degrees of freedom\; this is a desirable feature for analyzing big da ta. In addition to analytical results\, we provide empirical evidence to s how that the new class of joint test is not only robust but can also have better power than the individual tests. This is based on join work with fo rmal graduate students Andriy Derkach (Derkach et al. 2013\, Genetic Epide miology\; Derkach et al. 2014\, Statistical Science) and David Soave (Soav e et al. 2015\, The American Journal of Human Genetics\; Soave and Sun 201 7\, Biometrics).\n DTSTART:20171201T203000Z DTEND:20171201T213000Z LOCATION:Room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue Sherbrooke Ouest SUMMARY:Lei Sun\, University of Toronto URL:/mathstat/channels/event/lei-sun-university-toront o-283125 END:VEVENT END:VCALENDAR