A general framework for the evaluation of genetic association studies using multiple marginal models

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Andreas Kitsche, Christian Ritz, Ludwig A. Hothorn

OBJECTIVE: In this study, we present a simultaneous inference procedure as a unified analysis framework for genetic association studies.

METHODS: The method is based on the formulation of multiple marginal models that reflect different modes of inheritance. The basic advantage of this methodology is that no explicit formulation of the correlation between the test statistics is required. Moreover, the genotype scores are considered as a quantitative explanatory variable, i.e., regression models are used.

RESULTS: The proposed approach covers a wide variety of endpoints (binary, count, quantitative, and time-to-event data). In addition, multiple endpoints of different types can be assessed simultaneously. This allows the detection of pleiotropic effects while taking the mode of inheritance into account. Moreover, multiple loci can be assessed simultaneously.

CONCLUSION: The flexibility of the proposed approach is demonstrated while analyzing a variety of data examples.

OriginalsprogEngelsk
TidsskriftHuman Heredity
Vol/bind81
Udgave nummer3
Sider (fra-til)150-172
Antal sider23
ISSN0001-5652
DOI
StatusUdgivet - 22 dec. 2016

Bibliografisk note

CURIS 2016 NEXS 372

ID: 170799986