Genetics and Genomics Commons^™

Pleiotropy Of Genetic Variants On Obesity And Smoking Phenotypes: Results From The Oncoarray Project Of The International Lung Cancer Consortium, Tao Wang, Jee-Young Moon, Yiqun Wu, Christopher I. Amos, Rayjean J. Hung, Adonina Tardon, Angeline Andrew, Chu Chen, David C. Christiani, Demetrios Albanes, Erik H. F. M. Van Der Heijden, Eric Duell, Gadi Rennert, Gary Goodman, Geoffrey Liu, James D. Mckay, Jian-Min Yuan, John K. Field, Jonas Manjer, Kjell Grankvist, Lambertus A. Kiemeney, Loic Le Marchand, M. Dawn Teare, Matthew B. Schabath, Mattias Johansson, Melinda C. Aldrich, Michael Davies, Mikael Johansson, Ming-Sound Tsao, Neil Caporaso, Susanne Arnold

Internal Medicine Faculty Publications

Obesity and cigarette smoking are correlated through complex relationships. Common genetic causes may contribute to these correlations. In this study, we selected 241 loci potentially associated with body mass index (BMI) based on the Genetic Investigation of ANthropometric Traits (GIANT) consortium data and calculated a BMI genetic risk score (BMI-GRS) for 17,037 individuals of European descent from the Oncoarray Project of the International Lung Cancer Consortium (ILCCO). Smokers had a significantly higher BMI-GRS than never-smokers (p = 0.016 and 0.010 before and after adjustment for BMI, respectively). The BMI-GRS was also positively correlated with pack-years of smoking (p < 0.001) in smokers. Based on causal network inference analyses, seven and five of 241 SNPs were classified to pleiotropic models for BMI/smoking status and BMI/pack-years, respectively. Among them, three and four SNPs associated with smoking status and pack-years (p < 0.05), respectively, were followed up in the ever-smoking data of the Tobacco, Alcohol and Genetics (TAG) consortium. Among these seven candidate SNPs, one SNP (rs11030104, BDNF) …

C/D-Box Snornas Form Methylating And Non-Methylating Ribonucleoprotein Complexes: Old Dogs Show New Tricks, Marina Falaleeva, Justin R. Welden, Marilyn J. Duncan, Stefan Stamm

Molecular and Cellular Biochemistry Faculty Publications

C/D box snoRNAs (SNORDs) are an abundantly expressed class of short, non‐coding RNAs that have been long known to perform 2′‐O‐methylation of rRNAs. However, approximately half of human SNORDs have no predictable rRNA targets, and numerous SNORDs have been associated with diseases that show no defects in rRNAs, among them Prader‐Willi syndrome, Duplication 15q syndrome and cancer. This apparent discrepancy has been addressed by recent studies showing that SNORDs can act to regulate pre‐mRNA alternative splicing, mRNA abundance, activate enzymes, and be processed into shorter ncRNAs resembling miRNAs and piRNAs. Furthermore, recent biochemical studies have shown that a given SNORD …

Discovery And Fine-Mapping Of Adiposity Loci Using High Density Imputation Of Genome-Wide Association Studies In Individuals Of African Ancestry: African Ancestry Anthropometry Genetics Consortium, Maggie C. Y. Ng, Mariaelisa Graff, Yingchang Lu, Anne E. Justice, Poorva Mudgal, Ching-Ti Liu, Kristin Young, Lisa R. Yanek, Mary F. Feitosa, Mary K. Wojczynski, Kristin Rand, Jennifer A. Brody, Brian E. Cade, Latchezar Dimitrov, Qing Duan, Xiuqing Guo, Leslie A. Lange, Michael A. Nalls, Hayrettin Okut, Salman M. Tajuddin, Bamidele O. Tayo, Sailaja Vedantam, Jonathan P. Bradfield, Guanjie Chen, Wei-Min Chen, Alessandra Chesi, Marguerite R. Irvin, Badri Padhukasahasram, Jennifer A. Smith, Wei Zheng, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Genome-wide association studies (GWAS) have identified > 300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHR_adjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHR_adjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified …

Apolipoprotein E4 And Insulin Resistance Interact To Impair Cognition And Alter The Epigenome And Metabolome, Lance A. Johnson, Eileen Ruth S. Torres, Soren Impey, Jan F. Stevens, Jacob Raber

Physiology Faculty Publications

Apolipoprotein E4 (E4) and type 2 diabetes are major risk factors for cognitive decline and late onset Alzheimer’s disease (AD). E4-associated phenotypes and insulin resistance (IR) share several features and appear to interact in driving cognitive dysfunction. However, shared mechanisms that could explain their overlapping pathophysiology have yet to be found. We hypothesized that, compared to E3 mice, E4 mice would be more susceptible to the harmful cognitive effects of high fat diet (HFD)-induced IR due to apoE isoform-specific differences in brain metabolism. While both E3 and E4 mice fed HFD displayed impairments in peripheral metabolism and cognition, deficits in …

Association Of Body Mass Index With Dna Methylation And Gene Expression In Blood Cells And Relations To Cardiometabolic Disease: A Mendelian Randomization Approach, Michael M. Mendelson, Riccardo E. Marioni, Roby Joehanes, Chunyu Liu, Åsa K. Hedman, Stella Aslibekyan, Ellen W. Demerath, Weihua Guan, Degui Zhi, Chen Yao, Tianxiao Huan, Christine Willinger, Brian Chen, Paul Courchesne, Michael Multhaup, Marguerite R. Irvin, Ariella Cohain, Eric E. Schadt, Megan L. Grove, Jan Bressler, Kari North, Johan Sundström, Stefan Gustafsson, Sonia Shah, Allan F. Mcrae, Sarah E. Harris, Jude Gibson, Paul Redmond, Janie Corley, Lee Murphy, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Background

The link between DNA methylation, obesity, and adiposity-related diseases in the general population remains uncertain.

Methods and Findings

We conducted an association study of body mass index (BMI) and differential methylation for over 400,000 CpGs assayed by microarray in whole-blood-derived DNA from 3,743 participants in the Framingham Heart Study and the Lothian Birth Cohorts, with independent replication in three external cohorts of 4,055 participants. We examined variations in whole blood gene expression and conducted Mendelian randomization analyses to investigate the functional and clinical relevance of the findings. We identified novel and previously reported BMI-related differential methylation at 83 CpGs …