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Likelihood ratio and score burden tests for detecting disease-associated rare variants

Title
Likelihood ratio and score burden tests for detecting disease-associated rare variants
Authors
Lee, WoojooLee, DonghwanPawitan, Yudi
Ewha Authors
이동환
SCOPUS Author ID
이동환scopus
Issue Date
2015
Journal Title
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY
ISSN
2194-6302JCR Link1544-6115JCR Link
Citation
vol. 14, no. 5, pp. 481 - 495
Keywords
burden testlikelihood ratio testrare variantsscore test
Publisher
WALTER DE GRUYTER GMBH
Indexed
SCIE; SCOPUS WOS scopus
Abstract
This paper presents two simple rare variant ( RV) burden tests based on the likelihood ratio test (LRT) and score statistics. LRT is one of the commonly used tests in practical data analysis, and we show here that there is no reason to ignore it in testing RV associations. With the Bartlett correction, we have numerically shown that the LRT-based test can have a reliable distribution. Our simulation study indicates that if the non-null variants are as common as the null variants, then the LRT and score statistics have comparable performance to the C-alpha test, and if the former is rarer than the null variants, then they outperform the C-alpha test.
DOI
10.1515/sagmb-2014-0089
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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