dc.contributor.author | Bagos, Pantelis G. | en |
dc.contributor.author | Dimou, Niki L. | en |
dc.contributor.author | Liakopoulos, Theodore D. | en |
dc.contributor.author | Nikolopoulos, Georgios K. | en |
dc.creator | Bagos, Pantelis G. | en |
dc.creator | Dimou, Niki L. | en |
dc.creator | Liakopoulos, Theodore D. | en |
dc.creator | Nikolopoulos, Georgios K. | en |
dc.date.accessioned | 2018-06-22T09:52:26Z | |
dc.date.available | 2018-06-22T09:52:26Z | |
dc.date.issued | 2011 | |
dc.identifier.uri | https://gnosis.library.ucy.ac.cy/handle/7/41349 | |
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. Copyright © 2011 The Berkeley Electronic Press. All rights reserved. | en |
dc.language.iso | eng | en |
dc.source | Statistical Applications in Genetics and Molecular Biology | en |
dc.subject | Publishing | en |
dc.subject | Article | en |
dc.subject | Human | en |
dc.subject | Computer program | en |
dc.subject | 3' untranslated region | en |
dc.subject | Allele | en |
dc.subject | Attention deficit disorder | en |
dc.subject | Bronchiolitis | en |
dc.subject | Case control study | en |
dc.subject | Case-control | en |
dc.subject | Covariance | en |
dc.subject | Dopamine transporter | en |
dc.subject | Family | en |
dc.subject | Family-based | en |
dc.subject | Gene | en |
dc.subject | Genetic association | en |
dc.subject | Gwas | en |
dc.subject | Hhrr | en |
dc.subject | Meta analysis (topic) | en |
dc.subject | Meta-analysis | en |
dc.subject | Multiple sclerosis | en |
dc.subject | Power analysis | en |
dc.subject | Random effects | en |
dc.subject | Respiratory syncytial pneumovirus | en |
dc.subject | Respiratory syncytial virus | en |
dc.subject | Sample size | en |
dc.subject | Sensitivity analysis | en |
dc.subject | Single nucleotide polymorphism | en |
dc.subject | Tdt | en |
dc.title | Meta-analysis of family-based and case-control genetic association studies that use the same cases | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.2202/1544-6115.1640 | |
dc.description.volume | 10 | |
dc.description.issue | 1 | |
dc.author.faculty | Ιατρική Σχολή / Medical School | |
dc.author.department | Ιατρική Σχολή / Medical School | |
dc.type.uhtype | Article | en |
dc.contributor.orcid | Nikolopoulos, Georgios K.[0000-0002-3307-0246] | |
dc.contributor.orcid | Bagos, Pantelis G. [0000-0003-4935-2325] | |
dc.gnosis.orcid | 0000-0002-3307-0246 | |
dc.gnosis.orcid | 0000-0003-4935-2325 | |