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Refining genetic associations in multiple sclerosis
- Source :
- Lancet Neurology
- Publisher :
- Elsevier Ltd.
-
Abstract
- Genome-wide association studies involve several hundred thousand markers and, even when quality control is scrupulous, are invariably confounded by residual uncorrected errors that can falsely inflate the apparent difference between cases and controls (so-called genomic inflation). As a consequence such studies inevitably generate false positives alongside genuine associations. By use of Bayesian logic and empirical data, the Wellcome Trust Case Control Consortium suggested that association studies in complex disease should involve at least 2000 cases and 2000 controls, at which level they predicted that p values of less than 5×10 −7 would more commonly signify true positives than false positives.
- Subjects :
- Empirical data
medicine.medical_specialty
Multiple Sclerosis
Genetic Linkage
Reflection and Reaction
Bayesian probability
Complex disease
03 medical and health sciences
0302 clinical medicine
medicine
False positive paradox
Humans
Genetic Predisposition to Disease
Psychiatry
030304 developmental biology
Genetic association
0303 health sciences
business.industry
Multiple sclerosis
Chromosome Mapping
medicine.disease
3. Good health
Neurology (clinical)
business
True positive rate
030217 neurology & neurosurgery
Clinical psychology
Subjects
Details
- Language :
- English
- ISSN :
- 14744422
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- The Lancet Neurology
- Accession number :
- edsair.doi.dedup.....85a0090ff68a759d68a5d75caa169640
- Full Text :
- https://doi.org/10.1016/S1474-4422(08)70122-4