Journal article
A bayesian approach to replication of linkage findings
Genetic epidemiology, Vol.17(S1), pp.S749-S754
1999
DOI: 10.1002/gepi.13701707123
PMID: 10597525
Abstract
A novel Bayesian approach to replication studies, allowing for locus heterogeneity, is introduced. Compared with currently used approaches to replication, it offers a natural way to accumulate evidence across independently collected data sets and yields more interpretable results. Using four replicates (one as initial study and the other three as replication studies) from Problem 2 of the Genetic Analysis Workshop 11 data, we show the performance of this method. All four disease susceptibility loci (D1G009, D1G024, D3G045, D5G035) are identified and accurately mapped, with no false positive signals.
Details
- Title: Subtitle
- A bayesian approach to replication of linkage findings
- Creators
- Kai WangVeronica VielandJian Huang
- Resource Type
- Journal article
- Publication Details
- Genetic epidemiology, Vol.17(S1), pp.S749-S754
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company; New York
- DOI
- 10.1002/gepi.13701707123
- PMID
- 10597525
- ISSN
- 0741-0395
- eISSN
- 1098-2272
- Number of pages
- 6
- Grant note
- National Institutes of Mental Health (K01‐01541; R01‐55378; R01‐48858; K02‐01432)
- Language
- English
- Date published
- 1999
- Academic Unit
- Statistics and Actuarial Science; Biostatistics
- Record Identifier
- 9983997461702771
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