Interaction/association network among the six genes containing at least one core SNPs identified by analyzing WTCCC T2D data with GMDR-GPU.

<p>Beyond the six susceptibility genes identified in this work, three other genes, <i>CTNNB1</i>, <i>RUNX3</i>, and <i>CBFB</i>, were found by a literature search. Although these genes have been associated with a number of human disorders, only two closely related diseases, i.e., T2D and colorectal cancer, are shown.</p

Core SNPs associated with T2D based on G×G analysis at different orders with GMDR-GPU program.

1<p>Gene locations were retrieved from Enzembl Genome Browser.</p>2<p>Physical location of each gene determined according to NCBI build 36.</p

Best interaction models and their cross-validation consistencies (CVC), testing accuracies, and permutated P values based on 10⁷ permutated samples for the identified 24 core SNPs.

<p>Note: In our GMDR-GPU analysis, age and sex were used as covariates, and BMI was not adjusted for.</p

Working process of the GMDR-GPU program for conducting a two-dimensional interaction search on a sample consisting of four SNPs, two covariates, and a quantitative phenotype.

<p>Working process of the GMDR-GPU program for conducting a two-dimensional interaction search on a sample consisting of four SNPs, two covariates, and a quantitative phenotype.</p

Determination of core SNPs for T2D through two-way to five-way interaction analysis using GMDR-GPU.

<p>Each SNP is represented by a red dot and each interaction by a vertical line. The red dots in the same horizontal line correspond to the same unique SNP. Different colors of vertical lines represent different interaction dimensions (green: two-way; blue: three-way; pink: four-way; yellow: five-way). All identified core SNPs are indicated with their IDs.</p

Comparison of time required for exhaustive pair-wise search in 5,000 subjects with 10³ to 10⁶ SNPs per sample among the 1- and 6-GPU, C++ CPU, and Java CPU implementations of GMDR-GPU.

*<p>Estimated from the running time of searches of smaller data sets.</p

Results of two- to five-way SNP-SNP interaction analysis of WTCCC T2D data.

<p>Results of two- to five-way SNP-SNP interaction analysis of WTCCC T2D data.</p

Presentation_1_Detection of Significant Association Between Variants in Cannabinoid Receptor 1 Gene (CNR1) and Personality in African–American Population.pdf

<p>Background: Several studies have revealed significant associations between single nucleotide polymorphisms (SNPs) in the cannabinoid receptor 1 (CNR1) gene and a broad spectrum of psychiatric disorders such as major depressive disorder (MDD), attention deficit hyperactivity disorder (ADHD), and schizophrenia. Personality traits that are highly related to susceptibility to these conditions have been associated with the CNR1 variants in subjects of Caucasian origin. However, there are no reported studies regarding the effects of CNR1 polymorphisms on personality traits in the African-American (AA) population.</p><p>Methods: We performed an imputation-based association analysis for 26 CNR1 variants with five dimensions of personality in 3,046 AAs.</p><p>Results: SNPs rs806372 and rs2180619 showed a significant association with extraversion after Bonferroni correction for multiple testing (p < 0.0019). Further, several extraversion-associated SNPs were significantly associated with conscientiousness, agreeableness, and openness. SNP priority score analysis indicated that SNPs rs806368, rs806371, and rs2180619 play a role in the modulation of personality and psychiatric conditions.</p><p>Conclusion:CNR1 is important in determining personality traits in the AA population.</p

Data_Sheet_1_Detection of Significant Association Between Variants in Cannabinoid Receptor 1 Gene (CNR1) and Personality in African–American Population.xlsx

<p>Background: Several studies have revealed significant associations between single nucleotide polymorphisms (SNPs) in the cannabinoid receptor 1 (CNR1) gene and a broad spectrum of psychiatric disorders such as major depressive disorder (MDD), attention deficit hyperactivity disorder (ADHD), and schizophrenia. Personality traits that are highly related to susceptibility to these conditions have been associated with the CNR1 variants in subjects of Caucasian origin. However, there are no reported studies regarding the effects of CNR1 polymorphisms on personality traits in the African-American (AA) population.</p><p>Methods: We performed an imputation-based association analysis for 26 CNR1 variants with five dimensions of personality in 3,046 AAs.</p><p>Results: SNPs rs806372 and rs2180619 showed a significant association with extraversion after Bonferroni correction for multiple testing (p < 0.0019). Further, several extraversion-associated SNPs were significantly associated with conscientiousness, agreeableness, and openness. SNP priority score analysis indicated that SNPs rs806368, rs806371, and rs2180619 play a role in the modulation of personality and psychiatric conditions.</p><p>Conclusion:CNR1 is important in determining personality traits in the AA population.</p