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Full-Text Articles in Genetics and Genomics
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
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) …
Odelay: A Large-Scale Method For Multi-Parameter Quantification Of Yeast Growth., Thurston Herricks, Fred D Mast, Song Li, John D Aitchison
Odelay: A Large-Scale Method For Multi-Parameter Quantification Of Yeast Growth., Thurston Herricks, Fred D Mast, Song Li, John D Aitchison
Articles, Abstracts, and Reports
Growth phenotypes of microorganisms are a strong indicator of their underlying genetic fitness and can be segregated into 3 growth regimes: lag-phase, log-phase, and stationary-phase. Each growth phase can reveal different aspects of fitness that are related to various environmental and genetic conditions. High-resolution and quantitative measurements of all 3 phases of growth are generally difficult to obtain. Here we present a detailed method to characterize all 3 growth phases on solid media using an assay called One-cell Doubling Evaluation of Living Arrays of Yeast (ODELAY). ODELAY quantifies growth phenotypes of individual cells growing into colonies on solid media using …
Combining Inferred Regulatory And Reconstructed Metabolic Networks Enhances Phenotype Prediction In Yeast., Zhuo Wang, Samuel A Danziger, Benjamin D Heavner, Shuyi Ma, Jennifer J Smith, Song Li, Thurston Herricks, Evangelos Simeonidis, Nitin Baliga, John D Aitchison, Nathan D Price
Combining Inferred Regulatory And Reconstructed Metabolic Networks Enhances Phenotype Prediction In Yeast., Zhuo Wang, Samuel A Danziger, Benjamin D Heavner, Shuyi Ma, Jennifer J Smith, Song Li, Thurston Herricks, Evangelos Simeonidis, Nitin Baliga, John D Aitchison, Nathan D Price
Articles, Abstracts, and Reports
Gene regulatory and metabolic network models have been used successfully in many organisms, but inherent differences between them make networks difficult to integrate. Probabilistic Regulation Of Metabolism (PROM) provides a partial solution, but it does not incorporate network inference and underperforms in eukaryotes. We present an Integrated Deduced And Metabolism (IDREAM) method that combines statistically inferred Environment and Gene Regulatory Influence Network (EGRIN) models with the PROM framework to create enhanced metabolic-regulatory network models. We used IDREAM to predict phenotypes and genetic interactions between transcription factors and genes encoding metabolic activities in the eukaryote, Saccharomyces cerevisiae. IDREAM models contain many …
Mechanism For Microbial Population Collapse In A Fluctuating Resource Environment., Serdar Turkarslan, Arjun V Raman, Anne W Thompson, Christina E Arens, Mark A Gillespie, Frederick Von Netzer, Kristina L Hillesland, Sergey Stolyar, Adrián López García De Lomana, David J Reiss, Drew Gorman-Lewis, Grant M Zane, Jeffrey A Ranish, Judy D Wall, David A Stahl, Nitin Baliga
Mechanism For Microbial Population Collapse In A Fluctuating Resource Environment., Serdar Turkarslan, Arjun V Raman, Anne W Thompson, Christina E Arens, Mark A Gillespie, Frederick Von Netzer, Kristina L Hillesland, Sergey Stolyar, Adrián López García De Lomana, David J Reiss, Drew Gorman-Lewis, Grant M Zane, Jeffrey A Ranish, Judy D Wall, David A Stahl, Nitin Baliga
Articles, Abstracts, and Reports
Managing trade-offs through gene regulation is believed to confer resilience to a microbial community in a fluctuating resource environment. To investigate this hypothesis, we imposed a fluctuating environment that required the sulfate-reducer
Cpt1a Methylation Is Associated With Plasma Adiponectin, S. Aslibekyan, A. N. Do, H. Xu, S. Li, M. R. Irvin, D Zhi, H. K. Tiwari, D. M. Absher, A. R. Shuldiner, T. Zhang, W. Chen, K. Tanner, C. Hong, B. D. Mitchell, G. Berenson, Donna K. Arnett
Cpt1a Methylation Is Associated With Plasma Adiponectin, S. Aslibekyan, A. N. Do, H. Xu, S. Li, M. R. Irvin, D Zhi, H. K. Tiwari, D. M. Absher, A. R. Shuldiner, T. Zhang, W. Chen, K. Tanner, C. Hong, B. D. Mitchell, G. Berenson, Donna K. Arnett
Epidemiology and Environmental Health Faculty Publications
Background and Aims—Adiponectin, an adipose-secreted protein that has been linked to insulin sensitivity, plasma lipids, and inflammatory patterns, is an established biomarker for metabolic health. Despite clinical relevance and high heritability, the determinants of plasma adiponectin levels remain poorly understood.
Methods and Results—We conducted the first epigenome-wide cross-sectional study of adiponectin levels using methylation data on 368,051 cytosine-phosphate-guanine (CpG) sites in CD4+ T-cells from the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN, n= 991). We fit linear mixed models, adjusting for age, sex, study site, T-cell purity, and family. We have identified a positive association (regression …
High Resolution Time-Course Mapping Of Early Transcriptomic, Molecular And Cellular Phenotypes In Huntington's Disease Cag Knock-In Mice Across Multiple Genetic Backgrounds., Seth A Ament, Jocelynn R Pearl, Andrea Grindeland, Jason St Claire, John C Earls, Marina Kovalenko, Tammy Gillis, Jayalakshmi Mysore, James F Gusella, Jong-Min Lee, Seung Kwak, David Howland, Min Young Lee, David Baxter, Kelsey Scherler, Kai Wang, Donald Geman, Jeffrey B Carroll, Marcy E Macdonald, George Carlson, Vanessa C Wheeler, Nathan D Price, Leroy Hood
High Resolution Time-Course Mapping Of Early Transcriptomic, Molecular And Cellular Phenotypes In Huntington's Disease Cag Knock-In Mice Across Multiple Genetic Backgrounds., Seth A Ament, Jocelynn R Pearl, Andrea Grindeland, Jason St Claire, John C Earls, Marina Kovalenko, Tammy Gillis, Jayalakshmi Mysore, James F Gusella, Jong-Min Lee, Seung Kwak, David Howland, Min Young Lee, David Baxter, Kelsey Scherler, Kai Wang, Donald Geman, Jeffrey B Carroll, Marcy E Macdonald, George Carlson, Vanessa C Wheeler, Nathan D Price, Leroy Hood
Articles, Abstracts, and Reports
Huntington's disease is a dominantly inherited neurodegenerative disease caused by the expansion of a CAG repeat in the HTT gene. In addition to the length of the CAG expansion, factors such as genetic background have been shown to contribute to the age at onset of neurological symptoms. A central challenge in understanding the disease progression that leads from the HD mutation to massive cell death in the striatum is the ability to characterize the subtle and early functional consequences of the CAG expansion longitudinally. We used dense time course sampling between 4 and 20 postnatal weeks to characterize early transcriptomic, …
Pneumocystis Infection Alters The Activation State Of Pulmonary Macrophages, Jessica M. Deckman, Cathryn J. Kurkjian, Joseph P. Mcgillis, Theodore J. Cory, Susan E. Birket, Linda M. Schutzman, Brian S. Murphy, Beth A. Garvy, David J. Feola
Pneumocystis Infection Alters The Activation State Of Pulmonary Macrophages, Jessica M. Deckman, Cathryn J. Kurkjian, Joseph P. Mcgillis, Theodore J. Cory, Susan E. Birket, Linda M. Schutzman, Brian S. Murphy, Beth A. Garvy, David J. Feola
Microbiology, Immunology, and Molecular Genetics Faculty Publications
Recent studies show a substantial incidence of Pneumocystis jirovecii colonization and infection in patients with chronic inflammatory lung conditions. However, little is known about the impact of Pneumocystis upon the regulation of pulmonary immunity. We demonstrate here that Pneumocystis polarizes macrophages towards an alternatively activated macrophage-like phenotype. Genetically engineered mice that lack the ability to signal through IL-4 and IL-13 were used to show that Pneumocystis alternative macrophage activation is dependent upon signaling through these cytokines. To determine whether Pneumocystis-induced macrophage polarization would impact subsequent immune responses, we infected mice with Pneumocystis and then challenged them with Pseudomonas aeruginosa 14 …
Peripheral Huntingtin Silencing Does Not Ameliorate Central Signs Of Disease In The B6.Httq111/+ Mouse Model Of Huntington's Disease., Sydney R Coffey, Robert M Bragg, Shawn Minnig, Seth A Ament, Jeffrey P Cantle, Anne Glickenhaus, Daniel Shelnut, José M Carrillo, Dominic D Shuttleworth, Julie-Anne Rodier, Kimihiro Noguchi, C Frank Bennett, Nathan D Price, Holly B Kordasiewicz, Jeffrey B Carroll
Peripheral Huntingtin Silencing Does Not Ameliorate Central Signs Of Disease In The B6.Httq111/+ Mouse Model Of Huntington's Disease., Sydney R Coffey, Robert M Bragg, Shawn Minnig, Seth A Ament, Jeffrey P Cantle, Anne Glickenhaus, Daniel Shelnut, José M Carrillo, Dominic D Shuttleworth, Julie-Anne Rodier, Kimihiro Noguchi, C Frank Bennett, Nathan D Price, Holly B Kordasiewicz, Jeffrey B Carroll
Articles, Abstracts, and Reports
Huntington's disease (HD) is an autosomal dominant neurodegenerative disease whose predominant neuropathological signature is the selective loss of medium spiny neurons in the striatum. Despite this selective neuropathology, the mutant protein (huntingtin) is found in virtually every cell so far studied, and, consequently, phenotypes are observed in a wide range of organ systems both inside and outside the central nervous system. We, and others, have suggested that peripheral dysfunction could contribute to the rate of progression of striatal phenotypes of HD. To test this hypothesis, we lowered levels of huntingtin by treating mice with antisense oligonucleotides (ASOs) targeting the murine …