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C J Etzel

Publications and source records attributed to C J Etzel.

3 recordsLinked to original sources

Assessing linkage of immunoglobulin E using a meta-analysis approach.

We report results using a new meta-analysis procedure to assess linkage of immunoglobulin E (IgE), an asthma related quantitative trait, using the nine data sets provided by the Genetic Analysis Workshop 12. This meta-analysis procedure combines univariate Haseman-Elston statistics across studies gaining strength by collating possibly distinct marker maps. We performed univariate Haseman-Elston over all data sets and identified linkage (p < 0.05) to some marker in at least one study on virtually every chromosome. Using the proposed meta-analysis procedure, we detected suggestive linkage (p-value < 7.4 x 10(-4), [Lander and Kruglyak, Nat Genet 11:214-47, 1995]) for two regions on chromosome 4 (around 50 and 150 cM) and one region on chromosome 11 (around 125 cM). We also identified areas which were evocative (p-value < 0.02) for linkage: chr 5-40 cM, chr 7-98 cM, chr 9-65 cM, chr 13-110 cM, chr 16-10 cM and approximately 105 cM, chr 17-70 cM, and chr 20-25 cM.

Adult↗

Meta-analysis by combining parameter estimates: simulated linkage studies.

Several meta-analytic techniques have been developed for combining information from multiple studies in contexts other than linkage detection. We apply the technique of combining parameter estimates to the problem of finding disease loci in the simulated data and compare results with those obtained by reanalyzing pooled raw data. To facilitate the combination of study results, we highly recommend that parameter estimates and their standard errors be reported in published studies. If different research groups were to make original data available, progress toward disease gene location and characterization may be more quickly made.

Genetic Linkage↗

Meta-analysis by combining p-values: simulated linkage studies.

Meta-analysis has been little explored to make an overall assessment of linkage from different studies. In practice, it is likely that published linkage studies will only report p-values. We compared the performance of the widely used Fisher method for combining p-values with that of pooling raw data. More loci were consistently found by pooling raw data. In the absence of further information, combining p-values can provide an overall, but limited, assessment of different linkage studies. However, meta-analysis would be better viewed as a preliminary step toward the goal of analyzing the pooled raw data.

Genetic Linkage↗