Genome-wide association studies are widely used today to discover genetic factors that modify the risk of complex diseases. Usually, these methods work in a SNP-by-SNP fashion. We present a gene-based test that can be applied in the context of genome-wide association studies. We compare both strategies, SNP-based and gene-based, in a sample of cases and controls for rheumatoid arthritis. We obtained different results using each strategy. The SNP-based test found the PTPN22 gene while the gene-based test found the PHF19-TRAF1-C5 region. That suggests that no single strategy performs better than another in all cases and that a certain underlying genetic architecture can be delineated more easily with one strategy rather than with another.Peer...
Abstract The power of genome-wide association studies can be improved by incorporating...
Abstract Evaluation of the association between single-nucleotide polymorphisms (SNPs) ...
Abstract: The study of gene-based genetic associations has gained conceptual popularity recently. Bi...
Interpreting Genome-Wide Association Studies (GWAS) at a gene level is an important step towards und...
Interpreting Genome-Wide Association Studies (GWAS) at a gene level is an important step towards und...
The high genomic density of the single-nucleotide polymorphism (SNP) sets that are typically surveye...
The Human Genome Project and its spin-offs are making it increasingly feasible to determine the gene...
We have derived a versatile gene-based test for genome-wide association studies (GWAS). Our approach...
We sought to find significant gene × gene interaction in a genome-wide association analysis of rheum...
We have derived a versatile gene-based test for genome-wide association studies (GWAS). Our approach...
The Human Genome Project and its spin- offs are making it increasingly feasible to determine the gen...
Interpreting Genome-Wide Association Studies (GWAS) at a gene level is an important step towards und...
Due to the recent gains in the availability of single-nucleotide polymorphism data, genome-wide asso...
A topical question in genetic association studies is the optimal use of the information provided by ...
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for com...
Abstract The power of genome-wide association studies can be improved by incorporating...
Abstract Evaluation of the association between single-nucleotide polymorphisms (SNPs) ...
Abstract: The study of gene-based genetic associations has gained conceptual popularity recently. Bi...
Interpreting Genome-Wide Association Studies (GWAS) at a gene level is an important step towards und...
Interpreting Genome-Wide Association Studies (GWAS) at a gene level is an important step towards und...
The high genomic density of the single-nucleotide polymorphism (SNP) sets that are typically surveye...
The Human Genome Project and its spin-offs are making it increasingly feasible to determine the gene...
We have derived a versatile gene-based test for genome-wide association studies (GWAS). Our approach...
We sought to find significant gene × gene interaction in a genome-wide association analysis of rheum...
We have derived a versatile gene-based test for genome-wide association studies (GWAS). Our approach...
The Human Genome Project and its spin- offs are making it increasingly feasible to determine the gen...
Interpreting Genome-Wide Association Studies (GWAS) at a gene level is an important step towards und...
Due to the recent gains in the availability of single-nucleotide polymorphism data, genome-wide asso...
A topical question in genetic association studies is the optimal use of the information provided by ...
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for com...
Abstract The power of genome-wide association studies can be improved by incorporating...
Abstract Evaluation of the association between single-nucleotide polymorphisms (SNPs) ...
Abstract: The study of gene-based genetic associations has gained conceptual popularity recently. Bi...