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Power analysis for genome-wide association studies [PDF]
Background Genome-wide association studies are a promising new tool for deciphering the genetics of complex diseases. To choose the proper sample size and genotyping platform for such studies, power calculations that take into account genetic model, tag ...
Klein Robert J
doaj +3 more sources
An Analysis Pipeline for Genome-wide Association Studies [PDF]
We developed an efficient pipeline to analyze genome-wide association study single nucleotide polymorphism scan results. Perl scripts were used to convert genotypes called using the BRLMM algorithm into a modified PB format.
Stefan Stefanov +2 more
doaj +4 more sources
GWAMA: software for genome-wide association meta-analysis [PDF]
Background 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 these phenotypes remains ...
Mägi Reedik, Morris Andrew P
doaj +5 more sources
Genome-wide association study for multiple phenotype analysis [PDF]
Genome-wide association studies often collect multiple phenotypes for complex diseases. Multivariate joint analyses have higher power to detect genetic variants compared with the marginal analysis of each phenotype and are also able to identify loci with
Xuan Deng +5 more
doaj +3 more sources
Replicability analysis for genome-wide association studies
The paramount importance of replicating associations is well recognized in the genome-wide associaton (GWA) research community, yet methods for assessing replicability of associations are scarce. Published GWA studies often combine separately the results
Heller, Ruth, Yekutieli, Daniel
core +4 more sources
Genome-wide hierarchical mixed model association analysis [PDF]
AbstractIn genome-wide mixed model association analysis, we stratified the genomic mixed model into two hierarchies to estimate genomic breeding values (GBVs) using the genomic best linear unbiased prediction and statistically infer the association of GBVs with each SNP using the generalized least square.
Zhiyu Hao +4 more
openaire +4 more sources
Genome wide Association Analysis
Plant β-galactosidases (BGALs) are the important glycosidase that hydrolyses the non-reductive terminaβ-D-galactosidase residues from glycochains, glycolipids and glycoproteins.In order to reveal the regulation mechanism of β-galactosidases in cotton development, the whole genome analysis of BGAL gene family were carried out in this study, which laid a
Xiaocong Cao +7 more
openaire +2 more sources
FGWAS: Functional genome wide association analysis [PDF]
Functional phenotypes (e.g., subcortical surface representation), which commonly arise in imaging genetic studies, have been used to detect putative genes for complexly inherited neuropsychiatric and neurodegenerative disorders. However, existing statistical methods largely ignore the functional features (e.g., functional smoothness and correlation ...
Chao, Huang +8 more
openaire +2 more sources
Genome wide SNP-tumor association analysis [PDF]
Carcinogenesis occurs, at least in part, due to the accumulation of mutations in critical genes that control the mechanisms of cell proliferation, differentiation and death. Publicly accessible databases contain millions of expressed sequence tag (EST) and single nucleotide polymorphism (SNP) records, which have the potential to assist in the ...
G Schuler +39 more
core +5 more sources
Meta-Analysis in Genome-Wide Association Studies [PDF]
The advent of genome-wide association studies has allowed considerable progress in the identification and robust replication of common gene variants that confer susceptibility to common diseases and other phenotypes of interest. These genetic effect sizes are almost invariably moderate to small in magnitude and single studies, even if large, are ...
Zeggini, E., Ioannidis, J. P.
openaire +3 more sources

