Medical Genetics Commons^™

On The Application, Reporting, And Sharing Of In Silico Simulations For Genetic Studies, Kaleigh Riggs, Huann-Sheng Chen, Melissa Rotunno, Bing Li, Naoko I Simonds, Leah E Mechanic, Bo Peng

Faculty, Staff and Students Publications

In silico simulations play an indispensable role in the development and application of statistical models and methods for genetic studies. Simulation tools allow for the evaluation of methods and investigation of models in a controlled manner. With the growing popularity of evolutionary models and simulation-based statistical methods, genetic simulations have been applied to a wide variety of research disciplines such as population genetics, evolutionary genetics, genetic epidemiology, ecology, and conservation biology. In this review, we surveyed 1409 articles from five journals that publish on major application areas of genetic simulations. We identified 432 papers in which genetic simulations were used …

Sars-Cov-2 Early Infection Signature Identified Potential Key Infection Mechanisms And Drug Targets, Yue Li, Ashley Duche, Michael R. Sayer, Don Roosan, Farid G. Khalafalla, Rennolds S. Ostrom, Jennifer Totonchy, Moom Roosan

Pharmacy Faculty Articles and Research

Background

The ongoing COVID-19 outbreak has caused devastating mortality and posed a significant threat to public health worldwide. Despite the severity of this illness and 2.3 million worldwide deaths, the disease mechanism is mostly unknown. Previous studies that characterized differential gene expression due to SARS-CoV-2 infection lacked robust validation. Although vaccines are now available, effective treatment options are still out of reach.

Results

To characterize the transcriptional activity of SARS-CoV-2 infection, a gene signature consisting of 25 genes was generated using a publicly available RNA-Sequencing (RNA-Seq) dataset of cultured cells infected with SARS-CoV-2. The signature estimated infection level accurately in …

Large-Scale Characterization Of Drug Responses Of Clinically Relevant Proteins In Cancer Cell Lines, Wei Zhao, Jun Li, Mei-Ju M Chen, Yikai Luo, Zhenlin Ju, Nicole K Nesser, Katie Johnson-Camacho, Christopher T Boniface, Yancey Lawrence, Nupur T Pande, Michael A Davies, Meenhard Herlyn, Taru Muranen, Ioannis K Zervantonakis, Erika Von Euw, Andre Schultz, Shwetha V Kumar, Anil Korkut, Paul T Spellman, Rehan Akbani, Dennis J Slamon, Joe W Gray, Joan S Brugge, Yiling Lu, Gordon B Mills, Han Liang

Faculty, Staff and Students Publications

Perturbation biology is a powerful approach to modeling quantitative cellular behaviors and understanding detailed disease mechanisms. However, large-scale protein response resources of cancer cell lines to perturbations are not available, resulting in a critical knowledge gap. Here we generated and compiled perturbed expression profiles of ∼210 clinically relevant proteins in >12,000 cancer cell line samples in response to ∼170 drug compounds using reverse-phase protein arrays. We show that integrating perturbed protein response signals provides mechanistic insights into drug resistance, increases the predictive power for drug sensitivity, and helps identify effective drug combinations. We build a systematic map of "protein-drug" connectivity …

Genetics Of Smoking Behaviors In American Indians, Jeffrey A Henderson, Dedra S Buchwald, Barbara V Howard, Patricia Nez Henderson, Yafang Li, Rachel F Tyndale, Christopher I Amos, Olga Y Gorlova, Collaborative To Improve Native Cancer Outcomes (Cinco), A P50 Center For Population Health And Health Disparities Program Project Sponsored By The National Cancer Institute

Faculty, Staff and Students Publications

BACKGROUND: The smoking behavior of American Indians (AI) differs from that of non-Hispanic whites (NHW). Typically light smokers, cessation interventions in AIs are generally less effective. To develop more effective cessation programs for AIs, clinicians, researchers, and public health workers need a better understanding of the genetic factors involved in their smoking behavior. Our aim was to assess whether SNPs associated with smoking behavior in NHWs are also associated with smoking in AIs.

METHODS: We collected questionnaire data on smoking behaviors and analyzed blood and saliva samples from two Tribal populations with dramatically different cultures and smoking prevalence, one in …

Tumor Somatic Mutations Also Existing As Germline Polymorphisms May Help To Identify Functional Snps From Genome-Wide Association Studies, Ivan P Gorlov, Xiangjun Xia, Spiridon Tsavachidis, Olga Y Gorlova, Christopher I Amos

Faculty, Staff and Students Publications

We hypothesized that a joint analysis of cancer risk-associated single-nucleotide polymorphism (SNP) and somatic mutations in tumor samples can predict functional and potentially causal SNPs from GWASs. We used mutations reported in the Catalog of Somatic Mutations in Cancer (COSMIC). Confirmed somatic mutations were subdivided into two groups: (1) mutations reported as SNPs, which we call mutational/SNPs and (2) somatic mutations that are not reported as SNPs, which we call mutational/noSNPs. It is generally accepted that the number of times a somatic mutation is reported in COSMIC correlates with its selective advantage to tumors, with more frequently reported mutations being …

Human Genes Differ By Their Uv Sensitivity Estimated Through Analysis Of Uv-Induced Silent Mutations In Melanoma, Ivan P Gorlov, Christopher I Amos, Spiridon Tsavachidis, Colin Begg, Eva Hernando, Chao Cheng, Ronglai Shen, Irene Orlow, Li Luo, Marc S Ernstoff, Joel Parker, Nancy E Thomas, Olga Y Gorlova, Marianne Berwick

Faculty, Staff and Students Publications

We hypothesized that human genes differ by their sensitivity to ultraviolet (UV) exposure. We used somatic mutations detected by genome-wide screens in melanoma and reported in the Catalog Of Somatic Mutations In Cancer. As a measure of UV sensitivity, we used the number of silent mutations generated by C>T transitions in pyrimidine dimers of a given transcript divided by the number of potential sites for this type of mutations in the transcript. We found that human genes varied by UV sensitivity by two orders of magnitude. We noted that the melanoma-associated tumor suppressor gene CDKN2A was among the top …

Intratumoral Translocation Positive Heterogeneity In Pediatric Alveolar Rhabdomyosarcoma Tumors Correlates To Patient Survival Prognosis, Katrina Gleditsch, Jorge Peñas, Danielle Mercer, Ayesha Umrigar, James Briscoe, Matthew Stark, Fern Tsien, Andrew D. Hollenbach

School of Medicine Faculty Publications

Alveolar rhabdomyosarcoma (ARMS) is characterized by one of three translocation states: t(2;13) (q35;q14) producing PAX3-FOXO1, t(1;13) (p36;q14) producing PAX7-FOXO1, or translocation-negative. Tumors with t(2;13) are associated with greater disease severity and mortality than t(1;13) positive or translocation negative patients. Consistent with this fact, previous work concluded that a molecular analysis of RMS translocation status is essential for the accurate determination of prognosis and diagnosis. However, despite this knowledge, most diagnoses rely on histology and in some cases utilize fluorescence in situ hybridization (FISH) probes unable to differentiate between translocation products. Along these same lines, diagnostic RT-PCR analysis, which can differentiate …

A Novel Methodology To Identify The Primary Topics Contained Within The Covid-19 Research Corpus, Allen Crane, Brock Freidrich, William Fehlman, Igor Frolow, Daniel W. Engels

SMU Data Science Review

In this paper, we present a novel framework and system for the identification of primary research topics from within a corpus of related publications, the classification of individual publications according to these topics, and the results of the application of our framework and system to the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a corpus of published peer reviewed and pre-peer reviewed articles related to the coronavirus that causes COVID-19. Using machine learning techniques, such as Non-negative Matrix Factorization for Natural Language Processing and a Bayesian classifier, we developed a novel framework and system that automatically extracts sparse and meaningful …

Prospects For Rnai Therapy Of Covid-19, Hasan Uludağ, Kylie Parent, Hamidreza Montazeri Aliabadi, Azita Haddadi

Pharmacy Faculty Articles and Research

COVID-19 caused by the SARS-CoV-2 virus is a fast emerging disease with deadly consequences. The pulmonary system and lungs in particular are most prone to damage caused by the SARS-CoV-2 infection, which leaves a destructive footprint in the lung tissue, making it incapable of conducting its respiratory functions and resulting in severe acute respiratory disease and loss of life. There were no drug treatments or vaccines approved for SARS-CoV-2 at the onset of pandemic, necessitating an urgent need to develop effective therapeutics. To this end, the innate RNA interference (RNAi) mechanism can be employed to develop front line therapies against …

Association Analysis Of Driver Gene-Related Genetic Variants Identified Novel Lung Cancer Susceptibility Loci With 20,871 Lung Cancer Cases And 15,971 Controls, Yuzhuo Wang, Olga Y Gorlova, Ivan P Gorlov, Meng Zhu, Juncheng Dai, Demetrius Albanes, Stephen Lam, Adonina Tardon, Chu Chen, Gary E Goodman, Stig E Bojesen, Maria Teresa Landi, Mattias Johansson, Angela Risch, Heunz-Erich Wichmann, Heike Bickeboller, David C Christiani, Gad Rennert, Susanne M Arnold, Paul Brennan, John K Field, Sanjay Shete, Loïc Le Marchand, Olle Melander, Hans Brunnstrom, Geoffrey Liu, Rayjean J Hung, Angeline S Andrew, Lambertus A Kiemeney, Shanbeh Zienolddiny, Kjell Grankvist, Mikael Johansson, Neil E Caporaso, Penella J Woll, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Victoria L Stevens, Hongxia Ma, Guangfu Jin, Zhibin Hu, Christopher I Amos, Hongbing Shen

Faculty, Staff and Students Publications

BACKGROUND: A substantial proportion of cancer driver genes (CDG) are also cancer predisposition genes. However, the associations between genetic variants in lung CDGs and the susceptibility to lung cancer have rarely been investigated.

METHODS: We selected expression-related single-nucleotide polymorphisms (eSNP) and nonsynonymous variants of lung CDGs, and tested their associations with lung cancer risk in two large-scale genome-wide association studies (20,871 cases and 15,971 controls of European descent). Conditional and joint association analysis was performed to identify independent risk variants. The associations of independent risk variants with somatic alterations in lung CDGs or recurrently altered pathways were investigated using data …

Whole Exome Sequencing Of Highly Aggregated Lung Cancer Families Reveals Linked Loci For Increased Cancer Risk On Chromosomes 12q, 7p, And 4q, Anthony M Musolf, Bilal A Moiz, Haiming Sun, Claudio W Pikielny, Yohan Bossé, Diptasri Mandal, Mariza De Andrade, Colette Gaba, Ping Yang, Yafang Li, Ming You, Ramaswamy Govindan, Richard K Wilson, Elena Y Kupert, Marshall W Anderson, Ann G Schwartz, Susan M Pinney, Christopher I Amos, Joan E Bailey-Wilson

Faculty, Staff and Students Publications

BACKGROUND: Lung cancer kills more people than any other cancer in the United States. In addition to environmental factors, lung cancer has genetic risk factors as well, though the genetic etiology is still not well understood. We have performed whole exome sequencing on 262 individuals from 28 extended families with a family history of lung cancer.

METHODS: Parametric genetic linkage analysis was performed on these samples using two distinct analyses-the lung cancer only (LCO) analysis, where only patients with lung cancer were coded as affected, and the all aggregated cancers (AAC) analysis, where other cancers seen in the pedigree were …

Cis-Eqtl-Based Trans-Ethnic Meta-Analysis Reveals Novel Genes Associated With Breast Cancer Risk, Joshua Hoffman, Rebecca Graff, Nima Emami, Caroline Tai, Michael Passarelli

Dartmouth Scholarship

Breast cancer is the most common solid organ malignancy and the most frequent cause of cancer death among women worldwide. Previous research has yielded insights into its genetic etiology, but there remains a gap in the understanding of genetic factors that contribute to risk, and particularly in the biological mechanisms by which genetic variation modulates risk. The National Cancer Institute's "Up for a Challenge" (U4C) competition provided an opportunity to further elucidate the genetic basis of the disease. Our group leveraged the seven datasets made available by the U4C organizers and data from the publicly available UK Biobank cohort to …

Genetics Of Obesity In Starr County, Texas Mexican Americans, Heather M. Highland

Dissertations and Theses (Open Access)

Currently, over two-thirds of Americans are classified as over-weight or obese. Obesity increases risk for many other diseases including type 2 diabetes, heart disease, stroke, and cancer, making obesity the largest public health problem in America and most other Westernized nations. Hispanics have a higher rate of both obesity and type 2 diabetes, making them a particularly interesting population in which to study obesity. For the last 33 years, the Starr County Health Studies has collected an array of phenotypes and biological samples from residents of Starr County, along Texas-Mexico border. This study includes 825 subjects who were not known …

Pilot Study Of Cyp2b6 Genetic Variation To Explore The Contribution Of Nitrosamine Activation To Lung Carcinogenesis, Catherine Wassenaar, Qiong Dong, Christopher Amos, Margaret Spitz, Rachel F. Tyndale

Dartmouth Scholarship

We explored the contribution of nitrosamine metabolism to lung cancer in a pilot investigation of genetic variation in CYP2B6, a high-affinity enzymatic activator of tobacco-specific nitrosamines with a negligible role in nicotine metabolism. Previously we found that variation in CYP2A6 and CHRNA5-CHRNA3-CHRNB4 combined to increase lung cancer risk in a case-control study in European American ever-smokers (n = 860). However, these genes are involved in the pharmacology of both nicotine, through which they alter smoking behaviours, and carcinogenic nitrosamines. Herein, we separated participants by CYP2B6 genotype into a high- vs. low-risk group (*1/*1 + *1/*6 vs. *6/*6). Odds ratios estimated …

Predictors Of Contralateral Breast Cancer In Brca Negative Women, Ann E. Simmons

Dissertations and Theses (Open Access)

Breast cancer is the most common cancer diagnosis and second leading cause of death in women. Risk factors associated with breast cancer include: increased age, alcohol consumption, cigarette smoking, white race, physical inactivity, benign breast conditions, reproductive and hormonal factors, dietary factors, and family history. Hereditary breast and ovarian cancer syndrome (HBOC) is caused by mutations in the BRCA1 and BRCA2 genes. Women carrying a mutation in these genes are at an increased risk to develop a second breast cancer. Contralateral breast cancer is the most common second primary cancer in patients treated for a first breast cancer. Other risk …

Gene By Bmi Interactions Influencing C-Reactive Protein Levels In European-Americans, Sarah Tudor

Dissertations and Theses (Open Access)

C-Reactive Protein (CRP) is a biomarker indicating tissue damage, inflammation, and infection. High-sensitivity CRP (hsCRP) is an emerging biomarker often used to estimate an individual’s risk for future coronary heart disease (CHD). hsCRP levels falling below 1.00 mg/l indicate a low risk for developing CHD, levels ranging between 1.00 mg/l and 3.00 mg/l indicate an elevated risk, and levels exceeding 3.00 mg/l indicate high risk. Multiple Genome-Wide Association Studies (GWAS) have identified a number of genetic polymorphisms which influence CRP levels. SNPs implicated in such studies have been found in or near genes of interest including: CRP, APOE, APOC, IL-6, …