A simple correction for multiple comparisons in interval mapping genome scans
نویسندگان
چکیده
منابع مشابه
False Discovery Rate and Correction for Multiple Comparisons in Association Genome Screens for Complex Disorders
There is great current interest in using linkage disequilibrium (LD)-based genome screens to localize genes responsible for common diseases. These screens involve many more markers than traditional linkage studies and therefore present the issue of defining an appropriate significance threshold that takes into account the consequent multiple comparisons. We explore the conceptual and practical ...
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MOTIVATION For genetic studies, statistically significant variants explain far less trait variance than 'sub-threshold' association signals. To dimension follow-up studies, researchers need to accurately estimate 'true' effect sizes at each SNP, e.g. the true mean of odds ratios (ORs)/regression coefficients (RRs) or Z-score noncentralities. Naïve estimates of effect sizes incur winner's curse ...
متن کاملA comment on the simple regression method for interval mapping.
H ALEY and KNOTT (1992) developed a simple regression method for mapping quantitative trait loci (QTLs) using F2 populations. MARTINEZ and CURNOW (1992) considered the same approach using backcross populations. Studies that compare the regression method with that of LANDER and BOSTEIN’S (1989) maximum likelihood find very little difference between the two methods. The simple regression method o...
متن کاملMultiple interval mapping for quantitative trait loci.
A new statistical method for mapping quantitative trait loci (QTL), called multiple interval mapping (MIM), is presented. It uses multiple marker intervals simultaneously to fit multiple putative QTL directly in the model for mapping QTL. The MIM model is based on Cockerham's model for interpreting genetic parameters and the method of maximum likelihood for estimating genetic parameters. With t...
متن کاملMultiple-interval mapping for ordinal traits.
Many statistical methods have been developed to map multiple quantitative trait loci (QTL) in experimental cross populations. Among these methods, multiple-interval mapping (MIM) can map QTL with epistasis simultaneously. However, the previous implementation of MIM is for continuously distributed traits. In this study we extend MIM to ordinal traits on the basis of a threshold model. The method...
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ژورنال
عنوان ژورنال: Heredity
سال: 2001
ISSN: 0018-067X
DOI: 10.1046/j.1365-2540.2001.00901.x