When is the absence of evidence, evidence of absence? Use of equivalence-based analyses in genetic epidemiology and a conclusion for the KIF1B rs10492972*C allelic association in multiple sclerosis.
When is the absence of evidence, evidence of absence? Use of equivalence-based analyses in genetic epidemiology and a conclusion for the KIF1B rs10492972*C allelic association in multiple sclerosis.
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DOI：
10.1002/gepi.20592
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发表时间：
2011-09
影响因子：
2.1
通讯作者：
Gourraud, Pierre-Antoine
中科院分区：
文献类型：
--
作者：
Gourraud, Pierre-Antoine
Statistical equivalence methods have been in development since the late 1980s in order to provide an appropriate statistical methodology to address nondifferences in biological experiments. This is analogous to genetic association studies in which a polymorphism “is not associated” with a trait. We applied the equivalence method to genetic data to confirm that an association between the KIF1B (kinesin family member1B) rs10492972 allele and multiple sclerosis (MS), reported in Nature Genetics in 2008, is not present in eight datasets of cases and controls, nor in three independent datasets of the International Multiple Sclerosis Genetic Consortium. When the datasets are considered together, a nonsuperiority test excludes the rs10492972*C allele as a major “risk” allele for MS with a high degree of confidence (p = 1.18 × 10−4). We propose that equivalence methods are more appropriate for stating that a polymorphism does not contribute to disease susceptibility. If an equivalence test applied to genetic datasets fails to reveal an association based on standard methods, it demonstrates that there is no genetic association—i.e., the absence of evidence is evidence of absence. When reporting genetic association based on a cohort of a limited size, caution is needed regardless of how attractive the underlying biological rationale is. The data gathered for KIF1B in MS also underscore the need for very large sample sizes with the appropriate equivalence statistical methods in order to exclude reported false-positive results.
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1007/bf01068419
发表时间：
1987-12-01
期刊：
JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS
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作者：
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