Mostrar el registro sencillo del ítem
Meta-Analysis of Family-Based and Case-Control Genetic Association Studies that Use the Same Cases
dc.creator | Bagos, P. G. | en |
dc.creator | Dimou, N. L. | en |
dc.creator | Liakopoulos, T. D. | en |
dc.creator | Nikolopoulos, G. K. | en |
dc.date.accessioned | 2015-11-23T10:23:24Z | |
dc.date.available | 2015-11-23T10:23:24Z | |
dc.date.issued | 2011 | |
dc.identifier | 10.2202/1544-6115.1640 | |
dc.identifier.issn | 2194-6302 | |
dc.identifier.uri | http://hdl.handle.net/11615/26081 | |
dc.description.abstract | In many cases in genetic epidemiology, the investigators in an effort to control for different sources of confounding and simultaneously to increase the power perform a family-based and a population-based case-control study within the same population, using the same or largely overlapping, set of cases. Various methods have been proposed for performing a combined analysis, but they all require access to individual data that are difficult to gather in a meta-analysis. Here, we propose a simple and efficient summary-based method for performing the meta-analysis. The key point, contrary to the methods presented earlier that need individual data, is the calculation of the covariance between the study estimates (log-Odds Ratios), using only data derived from the literature in the form of a 2x2 contingency table. Afterwards, the studies can easily be combined either in a two-step procedure using traditional methods for univariate meta-analysis or in a single-step approach using hierarchical models. In any case, the meta-analysis can be performed using standard software and because of the increased sample size the statistical power of the meta-analysis is increased whereas the procedure allows performing several diagnostics (publication bias, cumulative meta-analysis, sensitivity analysis). The method is evaluated on a dataset of 356 Single Nucleotide polymorphisms (SNPs) which were evaluated for their potential association with Respiratory Syncytial Virus Bronchiolitis (RSV) and subsequently is applied in a meta-analysis concerning the association of the 10-Repeat Allele of a VNTR Polymorphism in the 3'-UTR of Dopamine Transporter Gene with Attention Deficit Hyperactivity Disorder (ADHD), as well as in a genome-wide association study for Multiple Sclerosis. Implementation of the method is straightforward and in the Appendix, a Stata program is given for implementing the methods presented here. | en |
dc.source | Statistical Applications in Genetics and Molecular Biology | en |
dc.source.uri | <Go to ISI>://WOS:000290221100003 | |
dc.subject | meta-analysis | en |
dc.subject | GWAS | en |
dc.subject | case-control | en |
dc.subject | family-based | en |
dc.subject | TDT | en |
dc.subject | HHRR | en |
dc.subject | random | en |
dc.subject | effects | en |
dc.subject | covariance | en |
dc.subject | GENOME-WIDE ASSOCIATION | en |
dc.subject | DEFICIT HYPERACTIVITY DISORDER | en |
dc.subject | TRANSMISSION | en |
dc.subject | DISEQUILIBRIUM TEST | en |
dc.subject | HARDY-WEINBERG EQUILIBRIUM | en |
dc.subject | ATTENTION-DEFICIT/HYPERACTIVITY DISORDER | en |
dc.subject | UNMATCHED CASE-CONTROL | en |
dc.subject | COMBINING CASE-CONTROL | en |
dc.subject | POPULATION STRATIFICATION | en |
dc.subject | PUBLICATION BIAS | en |
dc.subject | CANDIDATE-GENE | en |
dc.subject | Biochemistry & Molecular Biology | en |
dc.subject | Mathematical & Computational Biology | en |
dc.subject | Statistics & Probability | en |
dc.title | Meta-Analysis of Family-Based and Case-Control Genetic Association Studies that Use the Same Cases | en |
dc.type | journalArticle | en |
Ficheros en el ítem
Ficheros | Tamaño | Formato | Ver |
---|---|---|---|
No hay ficheros asociados a este ítem. |