Life Sciences Commons^™

An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard

Journal Articles

There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. to address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci …

Unsupervised Deep Representation Learning Enables Phenotype Discovery For Genetic Association Studies Of Brain Imaging, Khush Patel, Ziqian Xie, Hao Yuan, Sheikh Muhammad Saiful Islam, Yaochen Xie, Wei He, Wanheng Zhang, Assaf Gottlieb, Han Chen, Luca Giancardo, Alexander Knaack, Evan Fletcher, Myriam Fornage, Shuiwang Ji, Degui Zhi

Journal Articles

Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of traditionally expert-defined or software-derived image-derived phenotypes (IDPs) that are often based on theoretical preconceptions or computed from limited amounts of data. Here, we present an approach to derive brain imaging phenotypes using unsupervised deep representation learning. We train a 3-D convolutional autoencoder model with reconstruction loss on 6130 UK Biobank (UKBB) participants' T1 or T2-FLAIR (T2) brain MRIs to create a 128-dimensional representation known as Unsupervised Deep learning …

Estimating Heritability Explained By Local Ancestry And Evaluating Stratification Bias In Admixture Mapping From Summary Statistics, Tsz Fung Chan, Xinyue Rui, David V Conti, Myriam Fornage, Mariaelisa Graff, Jeffrey Haessler, Christopher Haiman, Heather M Highland, Su Yon Jung, Eimear E Kenny, Charles Kooperberg, Loic Le Marchand, Kari E North, Ran Tao, Genevieve Wojcik, Christopher R Gignoux, Charleston W K Chiang, Nicholas Mancuso

Journal Articles

The heritability explained by local ancestry markers in an admixed population (h

Multivariate Genetic Analysis Of Personality And Cognitive Traits Reveals Abundant Pleiotropy, Guy Hindley, Alexey A Shadrin, Dennis Van Der Meer, Nadine Parker, Weiqiu Cheng, Kevin S O'Connell, Shahram Bahrami, Aihua Lin, Naz Karadag, Børge Holen, Thomas Bjella, Ian J Deary, Gail Davies, W David Hill, Jan Bressler, Sudha Seshadri, Chun Chieh Fan, Torill Ueland, Srdjan Djurovic, Olav B Smeland, Oleksandr Frei, Anders M Dale, Ole A Andreassen

Journal Articles

Personality and cognitive function are heritable mental traits whose genetic foundations may be distributed across interconnected brain functions. Previous studies have typically treated these complex mental traits as distinct constructs. We applied the 'pleiotropy-informed' multivariate omnibus statistical test to genome-wide association studies of 35 measures of neuroticism and cognitive function from the UK Biobank (n = 336,993). We identified 431 significantly associated genetic loci with evidence of abundant shared genetic associations, across personality and cognitive function domains. Functional characterization implicated genes with significant tissue-specific expression in all tested brain tissues and brain-specific gene sets. We conditioned independent genome-wide association studies …

Leveraging Pleiotropy To Discover And Interpret Gwas Results For Sleep-Associated Traits, Sung Chun, Sebastian Akle, Athanasios Teodosiadis, Brian E Cade, Heming Wang, Tamar Sofer, Daniel S Evans, Katie L Stone, Sina A Gharib, Sutapa Mukherjee, Lyle J Palmer, David Hillman, Jerome I Rotter, Craig L Hanis, John A Stamatoyannopoulos, Susan Redline, Chris Cotsapas, Shamil R Sunyaev

Journal Articles

Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology. Specifically, we combine a colocalization test with a locus-level test of pleiotropy. In simulations, we show that this approach is highly selective for identifying true pleiotropy driven by the same causative variant, thereby improves the chance to replicate the associations …

A Framework For Detecting Noncoding Rare-Variant Associations Of Large-Scale Whole-Genome Sequencing Studies, Zilin Li, Xihao Li, Hufeng Zhou, Sheila M Gaynor, Margaret Sunitha Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K Arnett, Paul L Auer, Lawrence F Bielak, Joshua C Bis, Thomas W Blackwell, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, Matthew P Conomos, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Paul S De Vries, Ravindranath Duggirala, Nora Franceschini, Barry I Freedman, Harald H H Göring, Xiuqing Guo, Rita R Kalyani, Charles Kooperberg, Brian G Kral, Leslie A Lange, Bridget M Lin, Ani Manichaikul, Alisa K Manning, Lisa W Martin, Rasika A Mathias, James B Meigs, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Susan Redline, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Kenneth M Rice, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Margaret A Taub, Ramachandran S Vasan, Daniel E Weeks, James G Wilson, Lisa R Yanek, Wei Zhao, Jerome I Rotter, Cristen J Willer, Pradeep Natarajan, Gina M Peloso, Xihong Lin

Journal Articles

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate …

Analysis Of Phenotypic Expression Associated With Different Genotypes Of The Blue/Brown Eyes Single Nucleotide Polymorphism, Jade Riddle, Taylor Mckinney

Fall Showcase for Research and Creative Inquiry

No abstract provided.

Leveraging Family History In Genetic Association Analyses Of Binary Traits, Yixin Zhang, James B Meigs, Ching-Ti Liu, Josée Dupuis, Chloé Sarnowski

Journal Articles

BACKGROUND: Considering relatives' health history in logistic regression for case-control genome-wide association studies (CC-GWAS) may provide new information that increases accuracy and power to detect disease associated genetic variants. We conducted simulations and analyzed type 2 diabetes (T2D) data from the Framingham Heart Study (FHS) to compare two methods, liability threshold model conditional on both case-control status and family history (LT-FH) and Fam-meta, which incorporate family history into CC-GWAS.

RESULTS: In our simulation scenario of trait with modest T2D heritability (h

CONCLUSIONS: Overall, LT-FH and Fam-meta had higher power than CC-GWAS in simulations, especially using phenotypes that were more prevalent …

The Nature Of Phenotypes: Provoking And Measuring The Dynamic Processes Of Swarm Expansion, Predation, And Antibiotic Resistance In Myxococcus Xanthus, Linnea Judith Ritchie

Dissertations - ALL

The question of how genotype affects phenotype has fascinated and puzzled scientists for generations. Regardless of organism, the correlation between observation and underlying condition is necessary for scientists to understand the world around us. Myxococcus xanthus, a fascinating organism with a large genome (7,314 genes), is known for complex social behaviors and is an excellent model system for the study of this relationship. Upon starvation, M. xanthus cells condense into large multicellular aggregates to await renewed nutrient availability. M. xanthus cells swarm together on surfaces as a predatory biofilm, lysing and killing prey as a singular unit. During predation, swarms …

Exploring Amaranth’S Color Palette: Linking Phenotype, Plant Adaptation, And Human Health, Sarah Redman, Chance Riggins Ph.D.

PRECS student projects

Amaranthus is a genus containing species that are highly desirable, yet underutilized crops and species that are highly despised pernicious agricultural weeds.

• Cultivated species are primarily grown as nutritious pseudograins, colorful ornamentals, or leafy greens and are recognized for tolerance to heat, drought, and salinity.
• Weedy amaranths possess similar adaptive traits, in addition to evolved resistance to numerous herbicides, and pose severe challenges to global agriculture.
• Plant pigments (i.e., betalains, carotenoids) are central to understanding this impressive diversity of phenotypes and adaptive traits.

Centers For Mendelian Genomics: A Decade Of Facilitating Gene Discovery, Samantha M Baxter, Jennifer E Posey, Nicole J Lake, Nara Sobreira, Jessica X Chong, Steven Buyske, Elizabeth E Blue, Lisa H Chadwick, Zeynep H Coban-Akdemir, Kimberly F Doheny, Colleen P Davis, Monkol Lek, Christopher Wellington, Shalini N Jhangiani, Mark Gerstein, Richard A Gibbs, Richard P Lifton, Daniel G Macarthur, Tara C Matise, James R Lupski, David Valle, Michael J Bamshad, Ada Hamosh, Shrikant Mane, Deborah A Nickerson, Heidi L Rehm, Anne O'Donnell-Luria

Journal Articles

PURPOSE: Mendelian disease genomic research has undergone a massive transformation over the past decade. With increasing availability of exome and genome sequencing, the role of Mendelian research has expanded beyond data collection, sequencing, and analysis to worldwide data sharing and collaboration.

METHODS: Over the past 10 years, the National Institutes of Health-supported Centers for Mendelian Genomics (CMGs) have played a major role in this research and clinical evolution.

RESULTS: We highlight the cumulative gene discoveries facilitated by the program, biomedical research leveraged by the approach, and the larger impact on the research community. Beyond generating a list of gene-phenotype relationships …

Elucidating The Clinical Spectrum And Molecular Basis Of Hyal2 Deficiency, James Fasham, Siying Lin, Promita Ghosh, Francesca Clementina Radio, Emily G Farrow, Isabelle Thiffault, Jennifer Kussman, Dihong Zhou, Rick Hemming, Kenneth Zahka, Barry A Chioza, Lettie E Rawlins, Olivia K Wenger, Adam C Gunning, Simone Pizzi, Roberta Onesimo, Giuseppe Zampino, Emily Barker, Natasha Osawa, Megan Christine Rodriguez, Teresa M Neuhann, Elaine H Zackai, Beth Keena, Jenina Capasso, Alex V Levin, Elizabeth Bhoj, Dong Li, Hakon Hakonarson, Ingrid M Wentzensen, Adam Jackson, Kate E Chandler, Zeynep H Coban-Akdemir, Jennifer E Posey, Siddharth Banka, James R Lupski, Sarah E Sheppard, Marco Tartaglia, Barbara Triggs-Raine, Andrew H Crosby, Emma L Baple

Journal Articles

PURPOSE: We previously defined biallelic HYAL2 variants causing a novel disorder in 2 families, involving orofacial clefting, facial dysmorphism, congenital heart disease, and ocular abnormalities, with Hyal2 knockout mice displaying similar phenotypes. In this study, we better define the phenotype and pathologic disease mechanism.

METHODS: Clinical and genomic investigations were undertaken alongside molecular studies, including immunoblotting and immunofluorescence analyses of variant/wild-type human HYAL2 expressed in mouse fibroblasts, and in silico modeling of putative pathogenic variants.

RESULTS: Ten newly identified individuals with this condition were investigated, and they were associated with 9 novel pathogenic variants. Clinical studies defined genotype-phenotype correlations and …

Mutations In Several Auxin Biosynthesis Genes And Their Effects On Plant Phenotypes In Arabidopsis, Gabriela Hernandez, Lauren Huebner, Bethany Karlin Zolman

Undergraduate Research Symposium

Auxins are important hormones in plants that regulate growth and development. Disruptions in the auxin biosynthesis pathway result in morphological changes in phenotypes in the model plant Arabidopsis thaliana, including differences in root and leaf formation. Mutations in the Tryptophan Aminotransferase of Arabidopsis (TAA1) and YUCCA (YUC4) genes interfere with the plant's ability to synthesize Indole-3-acetic acid (IAA), the primary auxin involved in plant development. IBR1 and IBR3 act in the multistep conversion of indole-3-butyric acid (IBA) to IAA. ILL2, IAR3, and ILR1 hydrolyze IAA-amino acid conjugates into free IAA. The goal of …

Exome Sequence Association Study Of Levels And Longitudinal Change Of Cardiovascular Risk Factor Phenotypes In European Americans And African Americans From The Atherosclerosis Risk In Communities Study, Elena V Feofanova, Elise Lim, Han Chen, Minjae Lee, Ching-Ti Liu, L Adrienne Cupples, Eric Boerwinkle

Journal Articles

Cardiovascular disease (CVD) is responsible for 31% of all deaths worldwide. Among CVD risk factors are age, race, increased systolic blood pressure (BP), and dyslipidemia. Both BP and blood lipids levels change with age, with a dose-dependent relationship between the cumulative exposure to hyperlipidemia and the risk of CVD. We performed an exome sequence association study using longitudinal data with up to 7805 European Americans (EAs) and 3171 African Americans (AAs) from the Atherosclerosis Risk in Communities (ARIC) study. We assessed associations of common (minor allele frequency > 5%) nonsynonymous and splice-site variants and gene-based sets of rare variants with levels …

Developmental Regression Analysis And Investigation Of Genotype Correlations In Individuals With Classic Rett Syndrome, Aubrey Lynn Rose

Theses and Dissertations

Rett syndrome (RTT) is a neurodevelopmental disorder impacting 1 in 10,000 females worldwide, making it one of the most common causes of complex disability in girls. RTT is caused by pathogenic variants in the MECP2 gene and is characterized by developmental regression, stereotypical hand movements, and an abnormal gait. Despite consistency in the presence of these core features, a wide range of features and varying severity can be observed in girls with RTT. Similarly, the particular type of MECP2 variant present also differs between patients. Previous studies have assessed correlations between genotype and phenotype in patients with RTT. While past …

A Genome-Wide Association Study Discovers 46 Loci Of The Human Metabolome In The Hispanic Community Health Study/Study Of Latinos, Elena V Feofanova, Han Chen, Yulin Dai, Peilin Jia, Megan L Grove, Alanna C Morrison, Qibin Qi, Martha Daviglus, Jianwen Cai, Kari E North, Cathy C Laurie, Robert C Kaplan, Eric Boerwinkle, Bing Yu

Journal Articles

Variation in levels of the human metabolome reflect changes in homeostasis, providing a window into health and disease. The genetic impact on circulating metabolites in Hispanics, a population with high cardiometabolic disease burden, is largely unknown. We conducted genome-wide association analyses on 640 circulating metabolites in 3,926 Hispanic Community Health Study/Study of Latinos participants. The estimated heritability for 640 metabolites ranged between 0%-54% with a median at 2.5%. We discovered 46 variant-metabolite pairs (p value < 1.2 × 10

Evidence For Gene-Smoking Interactions For Hearing Loss And Deafness In Japanese American Families, Jia Y Wan, Christina Cataby, Andrew Liem, Emily Jeffrey, Trina M Norden-Krichmar, Deborah Goodman, Stephanie A Santorico, Karen L Edwards

Journal Articles

BACKGROUND: This study investigated the relationship between smoking and hearing loss and deafness (HLD) and whether the relationship is modified by genetic variation. Data for these analyses was from the subset of Japanese American families collected as part of the American Diabetes Association Genetics of Non-insulin Dependent Diabetes Mellitus study. Logistic regression with generalized estimating equations assessed the relationship between HLD and smoking. Nonparametric linkage analysis identified genetic regions harboring HLD susceptibility genes and ordered subset analysis was used to identify regions showing evidence for gene-smoking interactions. Genetic variants within these candidate regions were then each tested for interaction with …

Embryonic Origin And Genetic Basis Of Cave Associated Phenotypes In The Isopod Crustacean Asellus Aquaticus., Hafasa Mojaddidi, Franco E Fernandez, Priscilla A Erickson, Meredith E. Protas

Meredith Protas

Characteristics common to animals living in subterranean environments include the reduction or absence of eyes, lessened pigmentation and enhanced sensory systems. How these characteristics have evolved is poorly understood for the majority of cave dwelling species. In order to understand the evolution of these changes, this study uses an invertebrate model system, the freshwater isopod crustacean, Asellus aquaticus, to examine whether adult differences between cave and surface dwelling individuals first appear during embryonic development. We hypothesized that antennal elaboration, as well as eye reduction and pigment loss, would be apparent during embryonic development. We found that differences in pigmentation, eye …

Uncover Disease Genes By Maximizing Information Flow In The Phenome-Interactome Network., Yong Chen, Tao Jiang, Rui Jiang

Yong Chen

MOTIVATION: Pinpointing genes that underlie human inherited diseases among candidate genes in susceptibility genetic regions is the primary step towards the understanding of pathogenesis of diseases. Although several probabilistic models have been proposed to prioritize candidate genes using phenotype similarities and protein-protein interactions, no combinatorial approaches have been proposed in the literature.

RESULTS: We propose the first combinatorial approach for prioritizing candidate genes. We first construct a phenome-interactome network by integrating the given phenotype similarity profile, protein-protein interaction network and associations between diseases and genes. Then, we introduce a computational method called MAXIF to maximize the information flow in this …

Prioritizing Protein Complexes Implicated In Human Diseases By Network Optimization., Yong Chen, Thibault Jacquemin, Shuyan Zhang, Rui Jiang

Yong Chen

BACKGROUND: The detection of associations between protein complexes and human inherited diseases is of great importance in understanding mechanisms of diseases. Dysfunctions of a protein complex are usually defined by its member disturbance and consequently result in certain diseases. Although individual disease proteins have been widely predicted, computational methods are still absent for systematically investigating disease-related protein complexes.

RESULTS: We propose a method, MAXCOM, for the prioritization of candidate protein complexes. MAXCOM performs a maximum information flow algorithm to optimize relationships between a query disease and candidate protein complexes through a heterogeneous network that is constructed by combining protein-protein interactions …

Maintenance Of Mammary Epithelial Phenotype By Transcription Factor Runx1 Through Mitotic Gene Bookmarking, Joshua Rose

Graduate College Dissertations and Theses

Breast cancer arises from a series of acquired mutations that disrupt normal mammary epithelial homeostasis and create multi-potent cancer stem cells that can differentiate into clinically distinct breast cancer subtypes. Despite improved therapies and advances in early detection, breast cancer remains the leading diagnosed cancer in women.

A predominant mechanism initiating invasion and migration for a variety of cancers including breast, is epithelial-to-mesenchymal transition (EMT). EMT— a trans-differentiation process through which mammary epithelial cells acquire a more aggressive mesenchymal phenotype—is a regulated process during early mammary gland development and involves many transcription factors involved in cell lineage commitment, proliferation, and …

Large-Scale Genome-Wide Meta-Analysis Of Polycystic Ovary Syndrome Suggests Shared Genetic Architecture For Different Diagnosis Criteria, Felix Day, Tugce Karaderi, Michelle R. Jones, Cindy Meun, Chunyan He, Alex Drong, Peter Kraft, Nan Lin, Hongyan Huang, Linda Broer, Reedik Magi, Richa Saxena, Triin Laisk, Margrit Urbanek, M. Geoffrey Hayes, Gudmar Thorleifsson, Juan Fernandez-Tajes, Anubha Mahajan, Benjamin H. Mullin, Bronwyn G. A. Stuckey, Timothy D. Spector, Scott G. Wilson, Mark O. Goodarzi, Lea Davis, Barbara Obermayer-Pietsch, André G. Uitterlinden, Verneri Anttila, Benjamin M. Neale, Marjo-Riitta Jarvelin, Bart Fauser

Internal Medicine Faculty Publications

Polycystic ovary syndrome (PCOS) is a disorder characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology. Affected women frequently have metabolic disturbances including insulin resistance and dysregulation of glucose homeostasis. PCOS is diagnosed with two different sets of diagnostic criteria, resulting in a phenotypic spectrum of PCOS cases. The genetic similarities between cases diagnosed based on the two criteria have been largely unknown. Previous studies in Chinese and European subjects have identified 16 loci associated with risk of PCOS. We report a fixed-effect, inverse-weighted-variance meta-analysis from 10,074 PCOS cases and 103,164 controls of European ancestry and characterisation of PCOS related …

Embryonic Origin And Genetic Basis Of Cave Associated Phenotypes In The Isopod Crustacean Asellus Aquaticus., Hafasa Mojaddidi, Franco Fernandez, Priscilla A. Erickson, Meredith E. Protas

Natural Sciences and Mathematics | Faculty Scholarship

Characteristics common to animals living in subterranean environments include the reduction or absence of eyes, lessened pigmentation and enhanced sensory systems. How these characteristics have evolved is poorly understood for the majority of cave dwelling species. In order to understand the evolution of these changes, this study uses an invertebrate model system, the freshwater isopod crustacean, Asellus aquaticus, to examine whether adult differences between cave and surface dwelling individuals first appear during embryonic development. We hypothesized that antennal elaboration, as well as eye reduction and pigment loss, would be apparent during embryonic development. We found that differences in pigmentation, eye …

Detecting, Quantifying, And Discriminating The Mechanism Of Mosaic Chromosomal Aneuploidies Using Mad-Seq, Yu Kong, Esther R. Berko, Anthony Marcketta, Shahina B. Maqbool, Claudia A. Simoes-Pires, David F. Kronn, John M. Greally

NYMC Faculty Publications

Current approaches to detect and characterize mosaic chromosomal aneuploidy are limited by sensitivity, efficiency, cost, or the need to culture cells. We describe the mosaic aneuploidy detection by massively parallel sequencing (MAD-seq) capture assay and the MADSEQ analytical approach that allow low (

Advancing Behavioural Genomics By Considering Timescale, Clare C. Rittschof, Kimberly A. Hughes

Entomology Faculty Publications

Animal behavioural traits often covary with gene expression, pointing towards a genomic constraint on organismal responses to environmental cues. This pattern highlights a gap in our understanding of the time course of environmentally responsive gene expression, and moreover, how these dynamics are regulated. Advances in behavioural genomics explore how gene expression dynamics are correlated with behavioural traits that range from stable to highly labile. We consider the idea that certain genomic regulatory mechanisms may predict the timescale of an environmental effect on behaviour. This temporally minded approach could inform both organismal and evolutionary questions ranging from the remediation of early …

Genotype-Phenotype Study In Patients With Valosin-Containing Protein Mutations Associated With Multisystem Proteinopathy, Ebaa Al-Obeidi, Sejad Al-Tahan, Abhilasha Surampalli, Namita Goyal, Annabel K. Wang, Andreas Hermann, Molly Omizo, Charles D. Smith, Tahseen Mozaffar, Virginia Kimonis

Neurology Faculty Publications

Mutations in valosin‐containing protein (VCP), an ATPase involved in protein degradation and autophagy, cause VCP disease, a progressive autosomal dominant adult onset multisystem proteinopathy. The goal of this study is to examine if phenotypic differences in this disorder could be explained by the specific gene mutations. We therefore studied 231 individuals (118 males and 113 females) from 36 families carrying 15 different VCP mutations. We analyzed the correlation between the different mutations and prevalence, age of onset and severity of myopathy, Paget's disease of bone (PDB), and frontotemporal dementia (FTD), and other comorbidities. Myopathy, PDB and FTD was present in …

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

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

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

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