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Articles 1 - 6 of 6
Full-Text Articles in Life Sciences
Mutant Kras Alters Extracellular Vesicle Microrna Sorting In Pancreatic Cystic Neoplasms, Rachel L. Dittmar
Mutant Kras Alters Extracellular Vesicle Microrna Sorting In Pancreatic Cystic Neoplasms, Rachel L. Dittmar
Dissertations & Theses (Open Access)
Pancreatic ductal adenocarcinoma (PDAC) is among the deadliest cancers by organ site with a 5-year survival rate of just 10.8%. This is largely because most patients do not experience symptoms until the disease has already metastasized. The best hope to cure PDAC is surgery, which can only be done with a curative intent at an early stage when the disease is localized. There are no reliable circulating, body-fluid-based biomarkers to detect early stage PDAC or its precursor lesions in a timely manner for effective surgical intervention. When potential PDAC precursor lesions, such as mucinous pancreatic cysts are found, there are …
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
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 …
Genome-Wide Association Study Of Serum Metabolites In The African American Study Of Kidney Disease And Hypertension, Shengyuan Luo, Elena V Feofanova, Adrienne Tin, Sarah Tung, Eugene P Rhee, Josef Coresh, Dan E Arking, Aditya Surapaneni, Pascal Schlosser, Yong Li, Anna Köttgen, Bing Yu, Morgan E Grams
Genome-Wide Association Study Of Serum Metabolites In The African American Study Of Kidney Disease And Hypertension, Shengyuan Luo, Elena V Feofanova, Adrienne Tin, Sarah Tung, Eugene P Rhee, Josef Coresh, Dan E Arking, Aditya Surapaneni, Pascal Schlosser, Yong Li, Anna Köttgen, Bing Yu, Morgan E Grams
Journal Articles
The genome-wide association study (GWAS) is a powerful means to study genetic determinants of disease traits and generate insights into disease pathophysiology. to date, few GWAS of circulating metabolite levels have been performed in African Americans with chronic kidney disease. Hypothesizing that novel genetic-metabolite associations may be identified in a unique population of African Americans with a lower glomerular filtration rate (GFR), we conducted a GWAS of 652 serum metabolites in 619 participants (mean measured glomerular filtration rate 45 mL/min/1.73m
Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra
Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra
Dissertations & Theses (Open Access)
Intratumor heterogeneity (ITH) is a crucial challenge in cancer treatment. The genotypic and phenotypic heterogeneity underlying diverse cancer types leads to subclonal variation, which may result in mixed or failed response to therapy. The heterogeneity at the tumor level, along with the tumor microenvironment (TME), often shapes tumor evolution and ultimately clinical outcome. Given that modern treatment paradigms increasingly expose patients with metastatic disease to multiple treatment modalities through the course of their disease, there exists a need to characterize robust and predictive biomarkers of response to therapy. In order to accurately characterize tumor evolution, we need to account for …
Biases And Blind-Spots In Genome-Wide Crispr-Cas9 Knockout Screens, Merve Dede
Biases And Blind-Spots In Genome-Wide Crispr-Cas9 Knockout Screens, Merve Dede
Dissertations & Theses (Open Access)
Adaptation of the bacterial CRISPR-Cas9 system to mammalian cells revolutionized the field of functional genomics, enabling genome-scale genetic perturbations to study essential genes, whose loss of function results in a severe fitness defect. There are two types of essential genes in a cell. Core essential genes are absolutely required for growth and proliferation in every cell type. On the other hand, context-dependent essential genes become essential in an environmental or genetic context. The concept of context-dependent gene essentiality is particularly important in cancer, since killing cancer cells selectively without harming surrounding healthy tissue remains a major challenge. The toxicity of …
Genetic Discovery And Risk Characterization In Type 2 Diabetes Across Diverse Populations, Linda M Polfus, Burcu F Darst, Heather Highland, Xin Sheng, Maggie C Y Ng, Jennifer E Below, Lauren Petty, Stephanie Bien, Xueling Sim, Wei Wang, Pierre Fontanillas, Yesha Patel, Michael Preuss, Claudia Schurmann, Zhaohui Du, Yingchang Lu, Suhn K Rhie, Joseph M Mercader, Teresa Tusie-Luna, Clicerio González-Villalpando, Lorena Orozco, Cassandra N Spracklen, Brian E Cade, Richard A Jensen, Meng Sun, Yoonjung Yoonie Joo, Ping An, Lisa R Yanek, Lawrence F Bielak, Salman Tajuddin, Aude Nicolas, Guanjie Chen, Laura Raffield, Xiuqing Guo, Wei-Min Chen, Girish N Nadkarni, Mariaelisa Graff, Ran Tao, James S Pankow, Martha Daviglus, Qibin Qi, Eric A Boerwinkle, Simin Liu, Lawrence S Phillips, Ulrike Peters, Chris Carlson, Lynne R Wikens, Loic Le Marchand, Kari E North, Steven Buyske, Charles Kooperberg, Ruth J F Loos, Daniel O Stram, Christopher A Haiman
Genetic Discovery And Risk Characterization In Type 2 Diabetes Across Diverse Populations, Linda M Polfus, Burcu F Darst, Heather Highland, Xin Sheng, Maggie C Y Ng, Jennifer E Below, Lauren Petty, Stephanie Bien, Xueling Sim, Wei Wang, Pierre Fontanillas, Yesha Patel, Michael Preuss, Claudia Schurmann, Zhaohui Du, Yingchang Lu, Suhn K Rhie, Joseph M Mercader, Teresa Tusie-Luna, Clicerio González-Villalpando, Lorena Orozco, Cassandra N Spracklen, Brian E Cade, Richard A Jensen, Meng Sun, Yoonjung Yoonie Joo, Ping An, Lisa R Yanek, Lawrence F Bielak, Salman Tajuddin, Aude Nicolas, Guanjie Chen, Laura Raffield, Xiuqing Guo, Wei-Min Chen, Girish N Nadkarni, Mariaelisa Graff, Ran Tao, James S Pankow, Martha Daviglus, Qibin Qi, Eric A Boerwinkle, Simin Liu, Lawrence S Phillips, Ulrike Peters, Chris Carlson, Lynne R Wikens, Loic Le Marchand, Kari E North, Steven Buyske, Charles Kooperberg, Ruth J F Loos, Daniel O Stram, Christopher A Haiman
Journal Articles
Genomic discovery and characterization of risk loci for type 2 diabetes (T2D) have been conducted primarily in individuals of European ancestry. We conducted a multiethnic genome-wide association study of T2D among 53,102 cases and 193,679 control subjects from African, Hispanic, Asian, Native Hawaiian, and European population groups in the Population Architecture Genomics and Epidemiology (PAGE) and Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortia. In individuals of African ancestry, we discovered a risk variant in the