GWAMA: software for genome-wide association meta-analysis

GWAMA: software for genome-wide association meta-analysis

<p style="text-align:justify;"> <b>Background:</b> Despite the recent success of genome-wide association studies in identifying novel loci contributing effects to complex human traits, such as type 2 diabetes and obesity, much of the genetic component of variation in the...

Bibliografski detalji
Glavni autori:	Mägi, R, Morris, A
Format:	Journal article
Jezik:	English
Izdano:	BioMed Central 2010

Slični predmeti

GWAMA: software for genome-wide association meta-analysis
od: Mägi Reedik, i dr.
Izdano: (2010-05-01)

GWAMA: Software Tool for Meta-analysis and Visualization of Whole Genome Association Data
od: Magi, R, i dr.
Izdano: (2009)

GWAMA: software tool for meta analysis of whole genome association data
od: Maegi, R, i dr.
Izdano: (2009)

Notes on Gwama grammar
od: Dirk Kievit, i dr.
Izdano: (2012-06-01)

Notes on Gwama grammar
od: Dirk Kievit, i dr.
Izdano: (2012-06-01)

Meta-analysis of sex-specific genome-wide association studies.
od: Magi, R, i dr.
Izdano: (2010)

SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes
od: Mägi, R, i dr.
Izdano: (2017)

SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes
od: Mägi, Reedik, i dr.
Izdano: (2017)

GRANVIL: Rare Variant Analysis of Genome-Wide Association Studies
od: Magi, R, i dr.
Izdano: (2010)

Genome-Wide Association Analysis Of Rare Variants With Crohn's Disease
od: Magi, R, i dr.
Izdano: (2012)

Rapid Testing of Gene-gene Interactions in Genome-wide Association Studies
od: Bhattacharya, K, i dr.
Izdano: (2010)

Genome-wide association analysis of rare variants identifies potential novel susceptibility genes for type 1 diabetes and coronary artery disease
od: Magi, R, i dr.
Izdano: (2012)

Genome-wide Association Analysis of Rare Variants Identifies Potential Novel Susceptibility Genes for Type 1 Diabetes and Coronary Artery Disease
od: Morris, A, i dr.
Izdano: (2012)

Genome-Wide Association Analysis of Imputed Rare Variants: Application to Seven Common Complex Diseases
od: Mägi, R, i dr.
Izdano: (2012)

Genome-wide association analysis of imputed rare variants: application to seven common complex diseases.
od: Mägi, R, i dr.
Izdano: (2012)

Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution.
od: Mägi, R, i dr.
Izdano: (2017)

GenomicLand: Software for genome-wide association studies and genomic prediction
od: Camila Ferreira Azevedo, i dr.
Izdano: (2019-03-01)

Large-scale integrated genome-wide RNA sequencing, miRNA array, and genomic analyses to unravel the functionality of genome-wide association results in endometriosis
od: Rahmioglu, N, i dr.
Izdano: (2017)

Meta-analysis of sex-specific genome-wide association studies of type 2 diabetes
od: Morris, A, i dr.
Izdano: (2010)

Genome-wide association meta-analysis identifies new endometriosis risk loci
od: Nyholt, DR, i dr.
Izdano: (2012)

Genome-wide association meta-analysis identifies new endometriosis risk loci.
od: Nyholt, DR, i dr.
Izdano: (2012)

CONAN: copy number variation analysis software for genome-wide association studies
od: Wichmann Heinz-Erich, i dr.
Izdano: (2010-06-01)

Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies
od: Siru Wang, i dr.
Izdano: (2024-11-01)

The impact of imputation on meta-analysis of genome-wide association studies.
od: Jian Li, i dr.
Izdano: (2012-01-01)

A meta-analysis of genome-wide association studies of epigenetic age acceleration.
od: Jude Gibson, i dr.
Izdano: (2019-11-01)

Heterogeneity in meta-analyses of genome-wide association investigations.
od: John P A Ioannidis, i dr.
Izdano: (2007-01-01)

A genome-wide association meta-analysis identifies new childhood obesity loci
od: Bradfield, J, i dr.
Izdano: (2012)

Multi-ancestry genome-wide association meta-analysis of Parkinson's disease
od: Kim, Jonggeol Jeffrey, i dr.
Izdano: (2024)

A meta-analysis of genome-wide association studies of follicular lymphoma
od: Skibola Christine F, i dr.
Izdano: (2012-10-01)

Model-based assessment of replicability for genome-wide association meta-analysis
od: Daniel McGuire, i dr.
Izdano: (2021-03-01)

Meta-analysis of two genome-wide association studies of bovine paratuberculosis.
od: Giulietta Minozzi, i dr.
Izdano: (2012-01-01)

Genome-wide association meta-analysis of functional outcome after ischemic stroke
od: Söderholm, M, i dr.
Izdano: (2019)

Genome‐wide meta‐analysis identifies 3 novel loci associated with stroke
od: Malik, R, i dr.
Izdano: (2018)

Genome-wide association meta-analysis yields 20 loci associated with gallstone disease
od: Egil Ferkingstad, i dr.
Izdano: (2018-11-01)

Interpreting meta-analyses of genome-wide association studies.
od: Buhm Han, i dr.
Izdano: (2012-01-01)

Meta-analysis in genome-wide association datasets: strategies and application in Parkinson disease.
od: Evangelos Evangelou, i dr.
Izdano: (2007-01-01)

Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
od: James F Meschia, i dr.
Izdano: (2011-01-01)

Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins
od: Postmus, I, i dr.
Izdano: (2014)

Genetic variants underlying risk of endometriosis: insights from meta-analysis of eight genome-wide association and replication datasets.
od: Rahmioglu, N, i dr.
Izdano: (2014)

Meta-analysis of genome-wide expression patterns associated with behavioral maturation in honey bees
od: Southey Bruce R, i dr.
Izdano: (2008-10-01)