scholarly journals Genetic association studies in pre-eclampsia: systematic meta-analyses and field synopsis

2012 ◽  
Vol 41 (6) ◽  
pp. 1764-1775 ◽  
Author(s):  
Eleonora Staines-Urias ◽  
María C Paez ◽  
Pat Doyle ◽  
Frank Dudbridge ◽  
Norma C Serrano ◽  
...  
Keyword(s):  
Genetic Association ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Meta Analyses

scholarly journals Field synopsis and systematic meta-analyses of genetic association studies in isolated dystonia

2018 ◽  
Author(s):  
Olena Ohlei ◽  
Valerija Dobricic ◽  
Katja Lohmann ◽  
Christine Klein ◽  
Christina Lill ◽  
...  
Keyword(s):  
Genetic Association ◽  
Large Scale ◽  
Complex Disease ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Sufficient Information ◽  
Genetic Associations ◽  
Pubmed Database ◽  
The Status ◽  
Meta Analyses

AbstractBackground and objectivesDystonia is a genetically complex disease with both monogenic and polygenic causes. For the latter, numerous genetic associations studies have been performed with largely inconsistent results. The aim of this study was to perform a field synopsis including systematic meta-analyses of genetic association studies in isolated dystoniaMethodsFor the field synopsis we systematically screened and scrutinized the published literature using NCBI’s PubMed database. For genetic variants with sufficient information in at least two independent datasets, random-effects meta-analyses were performed, including meta-analyses stratified by ethnic descent and dystonia subtypes.ResultsA total of 3,575 articles were identified and scrutinized resulting in the inclusion of 42 independent publications allowing 134 meta-analyses on 45 variants across 17 genes. While our meta-analyses pinpointed several significant association signals with variants in TOR1A, DRD1, and ARSG, no single variant displayed compelling association with dystonia in the available data.ConclusionsOur study provides an up-to-date summary of the status of dystonia genetic association studies. Additional large-scale studies are needed to better understand the genetic causes of isolated dystonia.

scholarly journals Comprehensive Field Synopsis and Systematic Meta-analyses of Genetic Association Studies in Cutaneous Melanoma

2011 ◽  
Vol 103 (16) ◽  
pp. 1227-1235 ◽  
Author(s):  
F. Chatzinasiou ◽  
C. M. Lill ◽  
K. Kypreou ◽  
I. Stefanaki ◽  
V. Nicolaou ◽  
...  
Keyword(s):  
Genetic Association ◽  
Cutaneous Melanoma ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Meta Analyses

scholarly journals A systematic review evaluating the methodological aspects of meta-analyses of genetic association studies in cancer research

2010 ◽  
Vol 25 (11) ◽  
pp. 765-775 ◽  
Author(s):  
Stefania Boccia ◽  
Emma De Feo ◽  
Paola Gallì ◽  
Francesco Gianfagna ◽  
Rosarita Amore ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Research ◽  
Genetic Association ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Meta Analyses ◽  
Methodological Aspects

scholarly journals Systematic Meta-Analyses and Field Synopsis of Genetic Association Studies in Colorectal Cancer

2012 ◽  
Vol 104 (19) ◽  
pp. 1433-1457 ◽  
Author(s):  
E. Theodoratou ◽  
Z. Montazeri ◽  
S. Hawken ◽  
G. C. Allum ◽  
J. Gong ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Genetic Association ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Meta Analyses

scholarly journals Updated Field Synopsis and Systematic Meta-Analyses of Genetic Association Studies in Cutaneous Melanoma: The MelGene Database

2015 ◽  
Vol 135 (4) ◽  
pp. 1074-1079 ◽  
Author(s):  
Kyriaki Antonopoulou ◽  
Irene Stefanaki ◽  
Christina M. Lill ◽  
Foteini Chatzinasiou ◽  
Katerina P. Kypreou ◽  
...  
Keyword(s):  
Genetic Association ◽  
Cutaneous Melanoma ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Meta Analyses

scholarly journals Assessing the quality of published genetic association studies in meta-analyses: the quality of genetic studies (Q-Genie) tool

BMC Genetics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Zahra N. Sohani ◽  
David Meyre ◽  
Russell J. de Souza ◽  
Philip G. Joseph ◽  
Mandark Gandhi ◽  
...  
Keyword(s):  
Genetic Association ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Genetic Studies ◽  
Meta Analyses

A Method for Meta-Analysis of Case-Control Genetic Association Studies Using Logistic Regression

2007 ◽  
Vol 6 (1) ◽  
Author(s):  
Pantelis G Bagos ◽  
Georgios K Nikolopoulos
Keyword(s):  
Logistic Regression ◽  
Genetic Association ◽  
Genetic Model ◽  
Association Studies ◽  
Meta Analysis ◽  
Genetic Association Studies ◽  
Ease Of Use ◽  
Simple Method ◽  
Independent Variables ◽  
Meta Analyses

We propose here a simple and robust approach for meta-analysis of molecular association studies. Making use of the binary structure of the data, and by treating the genotypes as independent variables in a logistic regression, we apply a simple and commonly used methodology that performs satisfactorily, being at the same time very flexible. We present simple tests for detecting heterogeneity and we describe a random effects extension of the method in order to allow for between studies heterogeneity. We derive also simple tests for assessing the most plausible genetic model of inheritance, and its between-studies heterogeneity as well as adjusting for covariates. The methodology introduced here is easily extended in cases with polytomous or continuous outcomes as well as in cases with more than two alleles. We apply the methodology in several published meta-analyses of genetic association studies with very encouraging results. The main advantages of the proposed methodology is its flexibility and the ease of use, while at the same time covers almost every aspect of a meta-analysis providing overall estimates without the need of multiple comparisons. We anticipate that this simple method would be used in the future in meta-analyses of genetic association studies. A STATA command performing all the available computations is available at http://bioinformatics.biol.uoa.gr/~pbagos/metagen/.

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