<p>The number of significant interactions observed is less than one might expect by chance.</p><p>P values for gene-gene interactions were obtained between SNPs using likelihood ratio χ<sup>2</sup> tests in the logistic regression. Data are presented for those which attained significance at the P<0.01 level in an unadjusted model<sup>1</sup>. Significance levels are also presented where terms for potential confounders (collection center, gender, duration of T1D and HbA1c) are included in the adjusted model<sup>2</sup>.</p
<div><p>Extensive genetic studies have identified a large number of causal genetic variations in man...
This paper focuses on statistical methods that test for the effect of a single gene in a way that ac...
International audienceOver the last few years, case-control genome-wide association studies (GWAS) h...
ABSTRACT The identification of gene–gene and gene–environment interaction in human traits and diseas...
*<p>The data are presented as P values (codominant/dominant) for departure from a multiplicative int...
<p>Testing Accuracy for different combinations: single locus, 63.7 %; two locus, 65.1%; three locus,...
<p>Type 1 represents a DD interaction between SNPs a and b while Type 2 represents RR interaction be...
<p>For each SNP in the genes shown on the x-axis, the-log10 <i>P</i> (unadjusted <i>P</i> value) fro...
<p>Only significant interactions between two loci, as identified by logistic regression, are present...
<p>Logistic regression modeling showed that the joint effects between rs1063192 and rs7916697 were i...
Genome-wide association studies are used to detect association between genetic variants and diseases...
a<p>rs1910047 (<i>TBX3</i>), rs1049970 (<i>CDH5</i>), rs10515978 (<i>LMAN1</i>), rs32588 (<i>PPARGC1...
Various methods have been developed for identifying gene–gene interactions in genome-wide associatio...
International audienceOver the last few years, case-control genome-wide association studies (GWAS) h...
<div><p>Various methods have been developed for identifying gene–gene interactions in genome-wide as...
<div><p>Extensive genetic studies have identified a large number of causal genetic variations in man...
This paper focuses on statistical methods that test for the effect of a single gene in a way that ac...
International audienceOver the last few years, case-control genome-wide association studies (GWAS) h...
ABSTRACT The identification of gene–gene and gene–environment interaction in human traits and diseas...
*<p>The data are presented as P values (codominant/dominant) for departure from a multiplicative int...
<p>Testing Accuracy for different combinations: single locus, 63.7 %; two locus, 65.1%; three locus,...
<p>Type 1 represents a DD interaction between SNPs a and b while Type 2 represents RR interaction be...
<p>For each SNP in the genes shown on the x-axis, the-log10 <i>P</i> (unadjusted <i>P</i> value) fro...
<p>Only significant interactions between two loci, as identified by logistic regression, are present...
<p>Logistic regression modeling showed that the joint effects between rs1063192 and rs7916697 were i...
Genome-wide association studies are used to detect association between genetic variants and diseases...
a<p>rs1910047 (<i>TBX3</i>), rs1049970 (<i>CDH5</i>), rs10515978 (<i>LMAN1</i>), rs32588 (<i>PPARGC1...
Various methods have been developed for identifying gene–gene interactions in genome-wide associatio...
International audienceOver the last few years, case-control genome-wide association studies (GWAS) h...
<div><p>Various methods have been developed for identifying gene–gene interactions in genome-wide as...
<div><p>Extensive genetic studies have identified a large number of causal genetic variations in man...
This paper focuses on statistical methods that test for the effect of a single gene in a way that ac...
International audienceOver the last few years, case-control genome-wide association studies (GWAS) h...