Set-based tests for genetic association in longitudinal studies
DOI10.1111/BIOM.12310zbMath1419.62368OpenAlexW1958507722WikidataQ36148111 ScholiaQ36148111MaRDI QIDQ157244
Bhramar Mukherjee, Jennifer A. Smith, Xiuqing Guo, Sharon L. R. Kardia, Ana V. Diez Roux, Seunggeun Lee, Zihuai He, Min Zhang, Walter Palmas, Seunggeun Lee, Xiuqing Guo, Min Zhang, Jennifer A. Smith, Sharon L. R. Kardia, Walter Palmas, Zihuai He, Ana V. Diez Roux, Bhramar Mukherjee
Publication date: 8 April 2015
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://biostats.bepress.com/umichbiostat/paper101
random fieldgeneralized estimating equationsgenetic associationlongitudinal studygeneralized score testmulti-marker test
Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)
Related Items (2)
Uses Software
Cites Work
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- Improving generalised estimating equations using quadratic inference functions
- Modeling and testing for joint association using a genetic random field model
- Gene-Trait Similarity Regression for Multimarker-Based Association Analysis
- Algorithm AS 155: The Distribution of a Linear Combination of χ 2 Random Variables
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