The immunogenetics of viral antigen response is associated with sub-type specific glioma risk and survival

Background Multiple studies have implicated infections in glioma susceptibility, but the evidence remains inconsistent. Genetic variants in the human leukocyte antigen (HLA) region modulate host response to infection and have been linked to glioma risk. In this study we leveraged genetic predictors of antibody response to 10 viral antigens to investigate the relationship and glioma risk and survival. Methods Genetic reactivity scores (GRS) for each antigen were derived from genome-wide significant (p<5x10-8) variants associated with immunoglobulin G antibody response in the UK Biobank cohort. We conducted parallel analyses of glioma risk and survival for each GRS and HLA alleles imputed at two-field resolution using data from 3418 glioma patients and 8156 controls. Results Genetic reactivity scores to Epstein-Barr virus (EBV) ZEBRA and EBNA antigens and Merkel cell polyomavirus (MCV) VP1 antigen were suggestively associated with glioma risk and survival (unadjusted p<0.05). GRSZEBRA and GRSMCV were associated in opposite directions with risk of IDH wild type gliomas (Odds ratio ORZEBRA=0.91, p=0.007 / ORMCV=1.11, p=0.005). GRSEBNA was associated with both increased risk for IDH mutated gliomas (OR=1.09, p=0.04) and improved survival (Hazard ratio HR=0.86, p=0.01). HLA-DQA1*03:01 was significantly associated with decreased risk of glioma overall (OR=0.85, p=3.96x10-4) after multiple testing adjustment. Conclusion This first systematic investigation of the role of genetic determinants of viral antigen reactivity in glioma risk and survival provides insight into complex immunogenomic mechanisms of glioma pathogenesis. These results may also inform applications of antiviral based therapies in the treatment of glioma.

Exploring the Benefit of 2-Methylbutyric Acid in Patients Undergoing Hemodialysis Using a Cardiovascular Proteomics Approach

Short-chain fatty acids (SCFAs) can reduce pro-inflammatory parameters and oxidative stress, providing potential cardiovascular (CV) benefits. Although some evidence links SCFAs with host metabolic health via several biological mechanisms, the role of SCFA on CV disease in patients with kidney disease remains unclear. Herein, we investigate the association between a SCFA, 2-methylbutyric acid, and target CV proteomics to explore the potential pathophysiology of SCFA-related CV benefit in patients with kidney disease. Circulating 2-methylbutyric acid was quantified by high-performance liquid chromatography and 181 CV proteins by a proximity extension assay in 163 patients undergoing hemodialysis (HD). The associations between 2-methylbutyric acid and CV proteins were evaluated using linear regression analysis with age and gender, and multiple testing adjustment. The selected CV protein in the discovery phase was further confirmed in multivariable-adjusted models and evaluated by continuous scale association. The mean value of circulating 2-methylbutyric acid was 0.22 ± 0.02 µM, which was negatively associated with bone morphogenetic protein 6 (BMP-6) according to the false discovery rate (FDR) multiple testing adjustment method. The 2-methylbutyric acid level remained negatively associated with BMP-6 (β coefficient −1.00, 95% confidence interval −1.45 to −0.55, p < 0.001) after controlling for other CV risk factors in multivariable models. The cubic spline curve demonstrated a linear relationship. In conclusion, circulating 2-methylbutyric acid level was negatively associated with BMP-6, suggesting that this pathway maybe involved in vascular health in patients undergoing HD. However, further in vitro work is still needed to validate the translation of the mechanistic pathways.

Transcriptome association studies of neuropsychiatric traits in African Americans implicate PRMT7 in schizophrenia

In the past 15 years, genome-wide association studies (GWAS) have provided novel insight into the genetic architecture of various complex traits; however, this insight has been primarily focused on populations of European descent. This emphasis on European populations has led to individuals of recent African descent being grossly underrepresented in the study of genetics. With African Americans making up less than 2% of participants in neuropsychiatric GWAS, this discrepancy is magnified in diseases such as schizophrenia and bipolar disorder. In this study, we performed GWAS and the gene-based association method PrediXcan for schizophrenia (n = 2,256) and bipolar disorder (n = 1,019) in African American cohorts. In our PrediXcan analyses, we identified PRMT7 (P = 5.5 × 10−6, local false sign rate = 0.12) as significantly associated with schizophrenia following an adaptive shrinkage multiple testing adjustment. This association with schizophrenia was confirmed in the much larger, predominantly European, Psychiatric Genomics Consortium. In addition to the PRMT7 association with schizophrenia, we identified rs10168049 (P = 1.0 × 10−6) as a potential candidate locus for bipolar disorder with highly divergent allele frequencies across populations, highlighting the need for diversity in genetic studies.

Transcriptome association studies of neuropsychiatric traits in African Americans implicate PRMT7 in schizophrenia

ABSTRACTIn the past fifteen years, genome-wide association studies (GWAS) have provided novel insight into the genetic architecture of various complex traits; however, this insight has been primarily focused on populations of European descent. This emphasis on European populations has led to individuals of recent African descent being grossly underrepresented in the study of genetics. With African Americans making up less than two percent of participants in neuropsychiatric GWAS, this discrepancy is magnified in diseases such as schizophrenia and bipolar disorder. In this study, we performed GWAS and the gene-based association method PrediXcan for schizophrenia (n=2,256) and bipolar disorder (n=1,019) in African American cohorts. In our PrediXcan analyses, we identified PRMT7 (P = 5.5 × 10−6, local false sign rate = 0.12) as significantly associated with schizophrenia following an adaptive shrinkage multiple testing adjustment. This association with schizophrenia was confirmed in the much larger, predominantly European, Psychiatric Genomics Consortium. In addition to the PRMT7 association with schizophrenia, we identified rs10168049 (P = 1.0 × 10−6) as a potential candidate locus for bipolar disorder with highly divergent allele frequencies across populations, highlighting the need for diversity in genetic studies.

Altered Expression of Autophagy-related Genes in Human Colon Cancer

Background and objectives: Autophagy is a physiologic mechanism, which utilizes the self-digestion of cell organelles to promote cellular homeostasis, such as in the setting of dysfunctional cellular components, cellular stress or energy-deprived states. In vitro studies have pointed toward the key role of autophagy in colorectal cancer. However, in vivo studies from human colorectal cancer tissues are lacking. Methods: We collected tissue samples from six patients with colon cancer who received curative surgery at Baylor College of Medicine. We also obtained normal colonic mucosa biopsy from five unrelated polyp-free individuals who were matched to cases individually by age, sex, ethnicity, and colon segment. Total RNA was successfully extracted from fresh frozen tissue biopsies of five tumor tissues and five unrelated normal tissues. We tested the expression levels of 84 genes in a predefined autophagy pathway using the RT2 Profiler PCR array. We compared differences using Student’s t-test. The false-discovery rate was used for multiple testing adjustment. We also used the TCGA dataset to validate our findings. Results: We observed significant differential expression between colon cancer tissue and normal colon mucosa for 29 genes in the autophagy pathway (p < 0.05). After multiple testing adjustment, the expression of 17 genes was significantly down-regulated, with fold-change greater than 2 in colon cancer; these included ATG4A, ATG4C, ATG4D, and CTSS (q < 0.10). The down-regulation was observed in both early and late stage colon cancer. We observed the same down-regulation of multiple autophagy-related genes using the TCGA data. The ATG9B gene was the only statistically non-significantly up-regulated gene after multiple testing adjustment. Conclusions: This pilot study showed the down-regulation of multiple autophagy pathway genes in human colon cancer, corroborating the increasing clinical relevance of autophagy in human colorectal carcinogenesis. This preliminary finding should be validated in larger studies.

Recommendations on multiple testing adjustment in multi-arm trials with a shared control group

Multi-arm clinical trials assessing multiple experimental treatments against a shared control group can offer efficiency advantages over independent trials through assessing an increased number of hypotheses. Published opinion is divided on the requirement for multiple testing adjustment to control the family-wise type-I error rate (FWER). The probability of a false positive error in multi-arm trials compared to equivalent independent trials is affected by the correlation between comparisons due to sharing control data. We demonstrate that this correlation in fact leads to a reduction in the FWER, therefore FWER adjustment is not recommended solely due to sharing control data. In contrast, the correlation increases the probability of multiple false positive outcomes across the hypotheses, although standard FWER adjustment methods do not control for this. A stringent critical value adjustment is proposed to maintain equivalent evidence of superiority in two correlated comparisons to that obtained within independent trials. FWER adjustment is only required if there is an increased chance of making a single claim of effectiveness by testing multiple hypotheses, not due to sharing control data. For competing experimental therapies, the correlation between comparisons can be advantageous as it eliminates bias due to the experimental therapies being compared to different control populations.