Genome-wide association study of a nicotine metabolism biomarker in African American smokers: impact of chromosome 19 genetic influences Chenoweth, Meghan J, Ware, Jennifer J, Zhu, Andy Z X, Cole, Christopher B, Sanderson Cox, Lisa, Nollen, Nikki, Ahluwalia, Jasjit S, Benowitz, Neal L, Schnoll, Robert A, Hawk, Larry W Jr., and Others, Addiction 2017
Semi-Automated Identification of Ontological Labels in the Biomedical Literature with goldi Cole, Christopher B, Patel, Sejal, and Knight, Jo bioRxiv 2016
Increased genetic risk for obesity in premature coronary artery disease Cole, Christopher B, Nikpay, Majid, Stewart, Alexandre F R, and McPherson, Ruth European Journal of Human Genetics 2016
Rapporteur summaries of plenary, symposia, and oral sessions from the XXIIIrd World Congress of Psychiatric Genetics Meeting in Toronto, Canada, 16-20 October 2015. Zai, Gwyneth, Alberry, Bonnie, Arloth, Janine, Bánlaki, Zsófia, Bares, Cristina, Boot, Erik, Camilo, Caroline, Chadha, Kartikay, Chen, Qi, Cole, Christopher B, Cost, Katherine T, Crow, Megan, Ekpor, Ibene, Fischer, Sascha B, Flatau, Laura, Gagliano, Sarah, Kirli, Umut, Kukshal, Prachi, Labrie, Viviane, Lang, Maren, Lett, Tristram A, Maffioletti, Elisabetta, Maier, Robert, Mihaljevic, Marina, Mittal, Kirti, Monson, Eric T, O’Brien, Niamh L, Østergaard, Søren D, Ovenden, Ellen, Patel, Sejal, Peterson, Roseann E, Pouget, Jennie G, Rovaris, Diego L, Seaman, Lauren, Shankarappa, Bhagya, Tsetsos, Fotis, Vereczkei, Andrea, Wang, Chenyao, Xulu, Khethelo, Yuen, Ryan K C, Zhao, Jingjing, Zai, Clement C, and Kennedy, James L Psychiatric Genetics 2016
The XXIIIrd World Congress of Psychiatric Genetics meeting, sponsored by the International Society of Psychiatric Genetics, was held in Toronto, ON, Canada, on 16-20 October 2015. Approximately 700 participants attended to discuss the latest state-of-the-art findings in this rapidly advancing and evolving field. The following report was written by trainee travel awardees. Each was assigned one session as a rapporteur. This manuscript represents the highlights and topics that were covered in the plenary sessions, symposia, and oral sessions during the conference, and contains major notable and new findings. Copyright (C) 2016 Wolters Kluwer Health, Inc. All rights reserved.
Polygenic risk score prediction of antipsychotic dosage in schizophrenia Hettige, Nuwan C, Cole, Christopher B, Khalid, Sarah, and De Luca, Vincenzo Schizophrenia Research 2016
Gene–environment interaction in dyslipidemia Cole, Christopher B, Nikpay, Majid, and McPherson, Ruth 2015
Purpose of review: Recent genome-wide association studies have identified numerous common genetic variants associated with plasma lipid traits and have provided new insights into the regulation of lipoprotein metabolism including the identification of novel biological processes. These findings add to a body of existing data on dietary and environmental factors affecting plasma lipids. Here we explore how interactions between genetic risk factors and other phenotypes may explain some of the missing heritability of plasma lipid traits. Recent findings: Recent studies have identified true statistical interaction between several environmental and genetic risk factors and their effects on plasma lipid fractions. These include interactions between behaviors such as smoking or exercise as well as specific dietary nutrients and the effect size of specific genetic variants on plasma lipid traits risk and modifying effects of measures of adiposity on the cumulative impact of a number of common genetic variants on each of plasma triglycerides and HDL cholesterol. Summary: Interactions between genetic risk factors and clinical phenotypes may account for some of the unexplained heritability of plasma lipid traits. Recent studies provide biological insight into specific genetic associations and may aid in the identification of dyslipidemic patients for whom specific lifestyle interventions are likely to be most effective.
Adiposity significantly modifies genetic risk for dyslipidemia Cole, C. B., Nikpay, M., Lau, P., Stewart, a. F. R., Davies, R. W., Wells, G. a., Dent, R., and McPherson, R. The Journal of Lipid Research 2014
Recent genome-wide association studies (GWAS) have identified multiple loci robustly associated with plasma lipids, which also contribute to extreme lipid phenotypes. However, these common genetic variants explain less than 12% of variation in lipid traits. Adiposity is also an important determinant of plasma lipoproteins, particularly plasma triglycerides (TG) and high density lipoprotein cholesterol (HDLc) concentrations. Thus, interactions between genes and clinical phenotypes may contribute to this unexplained heritability. We have applied a weighted genetic risk score (GRS) for each of plasma TGs and HDLc in two large cohorts at the extremes of body mass index (BMI). Both BMI and GRS were strongly associated with these lipid traits. A significant interaction between obese/lean status and GRS was noted for each of TG (PInteraction = 2.87X10-4) and HDLc (PInteraction = 1.05X10-3). These interactions were largely driven by single nucleotide polymorphisms (SNPs) tagging APOA5, GCKR and LPL for TG, and CETP, GALNT2, LIPG and PLTP for HDLc. In contrast, the GRSLDLc X adiposity interaction was not significant. Sexual dimorphism was evident for the GRSHDL on HDLc in obese (PInteraction = 0.016) but not lean subjects. SNP by BMI interactions may provide biological insight into specific genetic associations and missing heritability.