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Готові списки джерел за темами / Genetic risk of disease

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Добірка наукової літератури з теми "Genetic risk of disease"

Автор: Grafiati

Опубліковано: 11 березня 2023

Оновлено: 31 липня 2025

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Статті в журналах з теми "Genetic risk of disease"

1

Sawikr, Yousef, Khlid G. ALqathafy, and Ibrahim S. Ibrahem. "Biochemical Markers and Genetic Risk Factors in Alzheimer's Disease." International Journal of Research Publication and Reviews 4, no. 12 (2023): 890–93. http://dx.doi.org/10.55248/gengpi.4.1223.123328.

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2

Roberts, Robert. "Molecular genetics: Cardiac disease and risk-related genes-Genetic risk factors." Clinical Cardiology 18, S4 (1995): IV13—IV19. http://dx.doi.org/10.1002/clc.4960181604.

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3

Alonso, Lorena, Ignasi Morán, Cecilia Salvoro, and David Torrents. "In Search of Complex Disease Risk through Genome Wide Association Studies." Mathematics 9, no. 23 (2021): 3083. http://dx.doi.org/10.3390/math9233083.

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The identification and characterisation of genomic changes (variants) that can lead to human diseases is one of the central aims of biomedical research. The generation of catalogues of genetic variants that have an impact on specific diseases is the basis of Personalised Medicine, where diagnoses and treatment protocols are selected according to each patient’s profile. In this context, the study of complex diseases, such as Type 2 diabetes or cardiovascular alterations, is fundamental. However, these diseases result from the combination of multiple genetic and environmental factors, which make

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4

Bloch, Michael J. "Genetic risk scores and coronary heart disease risk." Journal of the American Society of Hypertension 9, no. 8 (2015): 580–81. http://dx.doi.org/10.1016/j.jash.2015.06.010.

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5

Bin, Paola, Emanuele Capasso, Mariano Paternoster, et al. "Genetic risk in insurance field." Open Medicine 13, no. 1 (2018): 294–97. http://dx.doi.org/10.1515/med-2018-0045.

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AbstractThe risk-delimiting tools available to insurance companies are therefore substantial and it is also possible to argue that a margin of uncertainty is a natural component of the insurance contract.Despite this, businesses look at the potential of predictive medicine, and in particular the growing understanding of genetic mechanisms that support many common diseases.In particular, the rapid development of genetics has led many insurance companies to glimpse in the predictive diagnosis of disease by genetic testing the possibility of extending the calculation of the individual risk of dev

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Akushevich, Igor, Arseniy Yashkin, Julia Kravchenko, Svetlana Ukraintseva, and Anatoliy Yashin. "EFFECTS OF MEDICARE COMORBIDITIES, SELF-REPORTED FACTORS, AND POLYGENIC RISK SCORES IN RISKS OF AD/ADRD." Innovation in Aging 3, Supplement_1 (2019): S484. http://dx.doi.org/10.1093/geroni/igz038.1798.

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Abstract At this time there is no consensus on the origin, development, and progression of Alzheimer’s Disease and related dementias (AD/ADRD) and the extent to which variation in the effects of potential risk factors affects the risk for this disorder is underexplored. In this paper we used HRS-Medicare-genetics data to evaluate the effects of risk factors from three groups: i) Medicare-based indicators of chronic diseases that have shown an association with AD/ADRD in the literature, ii) individual heath state, behavior, functional status, education and socioeconomic status, and iii) polygen

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7

McDonald, B. A., and C. Linde. "Disease resistance and pathogen population genetic." Plant Protection Science 38, SI 1 - 6th Conf EFPP 2002 (2002): 245–48. http://dx.doi.org/10.17221/10375-pps.

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Plant pathologists have seen many boom-and-bust cycles following the deployment of resistant varieties. These cycles result when pathogen populations adapt to the presence of a major resistance gene by evolving a new population that can overcome this resistance gene. The breakdown of genetic resistance is due to the evolution of the local pathogen population because of selection for mutants, recombinants, or immigrants that are better adapted to the resistant cultivar. To understand the process that leads to breakdown of a resistance gene, we need to understand the processes that govern pathog

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ÇAKIRGÖZ, Onur, and Süleyman SEVİNÇ. "A Dynamic Method and Program for Disease-Based Genetic Classification of Individuals." Journal of Emerging Computer Technologies 3, no. 1 (2024): 12–20. http://dx.doi.org/10.57020/ject.1375605.

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Personalized medicine is gaining increasing importance. However, genetic-based diseases have different underlying genetic factors, requiring separate relative risk models for each disease. In addition to these difficulties, comparing individuals according to their genetic characteristics and determining a personalized treatment method based on this, is a separate problem which is very difficult to do manually. In this study, a dynamic classification method and program is proposed for disease-based classification of individuals according to their genetic characteristics. To the best of our know

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Lombardi, Rosa, Federica Iuculano, Giada Pallini, Silvia Fargion, and Anna Ludovica Fracanzani. "Nutrients, Genetic Factors, and Their Interaction in Non-Alcoholic Fatty Liver Disease and Cardiovascular Disease." International Journal of Molecular Sciences 21, no. 22 (2020): 8761. http://dx.doi.org/10.3390/ijms21228761.

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Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in Western countries and expose patients to increased risk of hepatic and cardiovascular (CV) morbidity and mortality. Both environmental factors and genetic predisposition contribute to the risk. An inappropriate diet, rich in refined carbohydrates, especially fructose, and saturated fats, and poor in fibers, polyunsaturated fats, and vitamins is one of the main key factors, as well as the polymorphism of patatin-like phospholipase domain containing 3 (PNPLA3 gene) for NAFLD and the apolipoproteins and the pero

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Liddell, M. B., S. Lovestone, and M. J. Owen. "Genetic risk of Alzheimer's disease: advising relatives." British Journal of Psychiatry 178, no. 1 (2001): 7–11. http://dx.doi.org/10.1192/bjp.178.1.7.

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BackgroundClinicians are increasingly asked by relatives of patients with Alzheimer's disease to advise on their genetic risk of developing Alzheimer's disease in later life. Many clinicians find this a difficult question to answer.AimsTo provide information for old age psychiatrists wishing to advise relatives of their risk of developing Alzheimer's disease.MethodA selective review of the key literature on the genetic epidemiology of Alzheimer's disease.ResultsCurrently a DNA diagnosis is attainable in some 70% of families with autosomal dominant Alzheimer's disease. In first-degree relatives

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Дисертації з теми "Genetic risk of disease"

1

Tilley, Louise. "Genetic risk factors in sporadic Alzheimer's disease." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311748.

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Salfati, Elias Levy Itshak. "Genetic determinants of cardiovascular disease : heritability and genetic risk score." Thesis, Paris 5, 2014. http://www.theses.fr/2014PA05S014/document.

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Les maladies complexes telles que les maladies cardio-Vasculaires (MCV) sont influencées par des facteurs génétiques et environnementaux. L’estimation du risque cardio-Vasculaire chez un individu est généralement évaluée par la sommation des facteurs de risque reconnu des MCV (p. ex. l’âge, le sexe, le tabac, la pression artérielle et le cholestérol). Dernièrement, plusieurs bio-Marqueurs ont été examiné pour leur aptitude à améliorer la prédiction des maladies cardio-Vasculaires au-Delà des facteurs de risques traditionnels. L’intérêt de découvrir de nouveaux loci est incité notamment par les

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Hughes, Katherine Carlson. "Dietary and Genetic Risk Factors for Parkinson's Disease." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:27201728.

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Parkinson’s disease (PD) is the second most common neurodegenerative disease. Motor symptoms typically do not manifest until significant neuronal loss has already occurred, highlighting the need for early detection and prevention. In this dissertation, we sought to improve our understanding of PD epidemiology by studying associations between potential modifiable risk factors, including antioxidant vitamins, dairy products, and urate, and PD risk. We conducted prospective analyses within three large cohort studies: the Nurses’ Health Study, the Health Professionals Follow-up Study, and the Canc

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4

Duan, Qingling. "Pharmacogenomics and genetic risk factors of coronary artery disease." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=115665.

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Coronary artery disease (CAD) is the most prevalent disorder and the leading cause of death worldwide. There are a number of CAD medications, which are effective and safe in most patients, but have been associated with adverse reactions such as angioedema induced by angiotensin I-converting enzyme inhibitors (AE-ACEi). In this study, we identified aminopeptidase P (APP) activity as an endophenotype for AE-ACEi, which is a heritable quantitative trait (heritability =0.336 +/- 0.251 SD) and is significantly reduced in a majority of our cases. Although initial mutation screening did not reveal an

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Ossei-Gerning, Nicholas. "Genetic polymorphisms and the risk of coronary artery disease." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391615.

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Hayashi, Satomi. "HYPERHOMOCYSTEINEMIA: GENETIC POLYMORPHISMS AND RISK OF CORONARY ARTERY DISEASE." Thesis, The University of Arizona, 2003. http://hdl.handle.net/10150/610473.

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This comprehensive literature review focuses on homocysteine, gene polymorphisms related to homocysteine metabolism and their relationship to coronary artery disease (CAD). Currently, CAD is known as a multifactorial genetic disease, resulting from complex interactions between genetic factors and various environmental influences. In recent years, tremendous knowledge about the hereditary aspect of CAD has been gained, including an understanding of CAD as a multifactorial condition resulting from complex interactions between genetic factors and various environmental influences that trigg

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Romagnoli, Martina <1987&gt. "Genetic, immune and environmental risk factors in Alzheimer's disease." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/7930/1/Romagnoli_Martina_tesi.pdf.

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Alzheimer's disease (AD) is a complex multi-factorial disease in which several pathogenetic, clinical, environmental and stochastic factors are involved. It is on record that persistent virus infections, the progressive decline of immune competence with ageing and chronic psychological stress exposures might play a pivotal role in AD. This study shows that in patients with clinical and neurological AD diagnosis, antiviral immune response is defective in the majority of AD brain samples. Moreover, gene variants of APOE and IRF7 strongly affect antiviral gene expression profiles in hippocampus.

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Ylönen, S. (Susanna). "Genetic risk factors for movement disorders in Finland." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526223988.

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Abstract Parkinson’s disease and Huntington’s disease are progressive neurodegenerative movement disorders that typically manifest in adulthood. In this study, genetic risk factors contributing to these two movement disorders were investigated in Finnish patients. Patients with early-onset or late-onset Parkinson’s disease as well as population controls were examined. The p.L444P mutation in GBA was found to contribute to the risk of Parkinson’s disease. POLG1 compound heterozygous mutations were detected in two patients with Parkinson’s disease and rare length variants in POLG1 were associate

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9

Chen, Lu-hua, and 陈璐华. "Genetic risk factors for late-onset Alzheimer's disease in Chinese." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49617588.

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Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, with genetic factors playing critical roles in its pathogenesis. Mutations in APP, PSEN1 and PSEN2 genes are confirmed to be causative risk factors for early-onset Alzheimer’s disease (EOAD). For late-onset Alzheimer’s disease (LOAD), growing evidence suggests it is caused by multiple genetic risk factors in corporation with the environmental exposures. Although, so far, APOE is the most well recognized common genetic risk factor for LOAD, other susceptible candidate genes, such as CR1, CLU and PICALM, have recently been id

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Sarwar, Nadeem. "Emerging molecular and genetic risk factors for coronary heart disease." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611549.

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Книги з теми "Genetic risk of disease"

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National Institute on Alcohol Abuse and Alcoholism (U.S.) and Editorial Experts Inc, eds. Alcoholism, an inherited disease. U.S. Department of Health and Human Services, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration, National Institute on Alcohol Abuse and Alcoholism, 1985.

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Petrakis, Peter L. Alcoholism, and inherited disease. U.S. Dept. of Health and Human Services, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration, National Institute on Alcohol Abuse and Alcoholism, 1985.

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3

Kåre, Berg, ed. Genetic approaches of coronary heart disease and hypertension. Springer-Verlag, 1991.

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4

Gormley, Myra Vanderpool. Family diseases: Are you at risk? Genealogical Pub. Co., 1989.

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5

Ueland, Per Magne, and Rima Rozen. MTHFR polymorphisms and disease. Landes Bioscience, 2005.

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6

Magne, Ueland Per, and Rozen Rima, eds. MTHFR polymorphisms and disease. Landes Bioscience/ Eurekah.com, 2005.

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7

Wexler, Alice. Mapping fate: A memoir of family, risk, and genetic research. University of California Press, 1995.

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8

Dimond, Rebecca, and Jamie Lewis. Analysing Semi-Structured Interviews: Understanding Family Experience of Rare Disease and Genetic Risk. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473947467.

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United States. Congress. Office of Technology Assessment., ed. Genetic monitoring and screening in the workplace. Congress of the U.S., Office of Technology Assessment, 1990.

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1960-, Foulkes William D., and Hodgson S. V, eds. Inherited susceptibility to cancer: Clinical, predictive, and ethical perspectives. Cambridge University Press, 1998.

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Частини книг з теми "Genetic risk of disease"

1

Böger, Carsten A., and Peter R. Mertens. "Genetic Risk Factors for Diabetic Nephropathy." In Diabetes and Kidney Disease. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118494073.ch3.

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Marigorta, Urko M. "Genetic Risk Prediction in IBD." In Molecular Genetics of Inflammatory Bowel Disease. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28703-0_7.

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Berg, K. "Genetic Risk Factors for Atherosclerotic Disease." In Human Genetics. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71635-5_40.

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Combarros, Onofre. "Genetic Risk Factors for Alzheimer’s Disease." In Neurodegenerative Diseases. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6380-0_4.

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5

Khan, Mosin S., Iqra Farooq, Sunia Faiz, Suhail S. Lone, Sabhiya Majid, and Waseem Qureshi. "Cytokine Polymorphisms and Their Role in Modulating Cancer Risk." In Genetic Polymorphism and Disease. CRC Press, 2022. http://dx.doi.org/10.1201/9781003246244-21.

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6

Tsang, Kin-Lun, Zhe-Hui Feng, Hong Jiang, Shu-Leong Ho, and David B. Ramsden. "Genetic Risk Factors in Parkinson’s Disease." In Mapping the Progress of Alzheimer’s and Parkinson’s Disease. Springer US, 2002. http://dx.doi.org/10.1007/978-0-306-47593-1_42.

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Hollingworth, Paul, and Julie Williams. "Genetic Risk Factors for Dementia." In The Handbook of Alzheimer's Disease and Other Dementias. Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444344110.ch6.

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Dallongeville, Jean. "Apolipoprotein E Polymorphism and Atherosclerosis Risk." In Genetic factors in coronary heart disease. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1130-0_19.

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Song, Yiqing, Cuilin Zhang, Lu Wang, Qi Dai, and Simin Liu. "Magnesium Intake, Genetic Variants, and Diabetes Risk." In Magnesium in Human Health and Disease. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-044-1_6.

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YüCel, Ilyas, and Mahir Binici. "Gene Therapy in Hereditary Diseases." In Gene Therapy. Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053358824.9.

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Inherited diseases are caused by mutations or genetic changes in an individual’s DNA, leading to familial inheritance patterns. These diseases can be categorized into monogenic, multifactorial, and chromosomal diseases. Understanding the genetic basis of these diseases is crucial for identifying their causes and developing genetic counseling services. Common hereditary diseases, such as cystic fibrosis and Huntington’s disease, result from specific genetic disorders and exhibit various symptoms, which can guide early diagnosis and treatment. Knowledge of genetic risk factors and inheritance mo

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Тези доповідей конференцій з теми "Genetic risk of disease"

1

Mehta, Jatin, Ishdeep Singla, Tarush Mehra, Hardik Garg, Narinder Yadav, and Ashok Kumar Goyal. "Leveraging Machine Learning for Biomarker Discovery and Risk Prediction in Autoimmune Disease Genetics." In 2025 10th International Conference on Signal Processing and Communication (ICSC). IEEE, 2025. https://doi.org/10.1109/icsc64553.2025.10967918.

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Gee, A. P. "Hematopoietic Stem Cell Engineering: The Magic Bullet of the Next Millenium?" In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1317.

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Abstract Hematopoietic stem cell [HSC] therapy has its origins as hematological rescue following marrow ablative high-dose therapy for refractory cancers and myelodysplastic syndromes. In its simplest form, bone marrow is collected from a tissue-matched related normal donor and intravenously infused into the patient who has usually received high-dose chemo/radiotherapy for his or her disease. The stem cells migrate to the marrow spaces, where they multiply and differentiate to restore blood cell-forming activity and immune defenses in the recipient Restrictions in the availability of tissue-ma

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Hunter, David J. "Prediction of disease risk using common genetic variants." In AACR International Conference: Molecular Diagnostics in Cancer Therapeutic Development– Sep 27-30, 2010; Denver, CO. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/diag-10-pl5-2.

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Mishra, Sushruta, Brojo Kishore Mishra, and Hrudaya Kumar Tripathy. "A neuro-genetic model to predict hepatitis disease risk." In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2015. http://dx.doi.org/10.1109/iccic.2015.7435719.

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Kurtović-Kozarić, Amina. "GENETICS OF CARDIOMYOPATHY." In International Scientific Symposium “Diagnostics in Cardiology and Grown-Up Congenital Heart Disease (GUCH)”. Academy of Sciences and Arts of Bosnia and Herzegovina, 2021. http://dx.doi.org/10.5644/pi2021.199.01.

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Heart failure is a leading cause of morbidity and mortality. Around 4% of patients with heart failure carry a pathogenic genetic aberration that causes cardiomyopathy and subsequently leads to heart failure. There are five types of primary genetic cardiomyopathies that can give rise to heart failure: hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy, arrhythmogenic cardiomyopathy (ACM), restrictive cardiomyopathy (RCM), and left ventricular noncompaction (LVNC). If genetic cardiomyopathy is suspected, genomic/genetic testing is recommended because it provides the underlying cause for t

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Xu, Yu, Chonghao Wang, Zeming Li, et al. "A machine learning model for disease risk prediction by integrating genetic and non-genetic factors." In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022. http://dx.doi.org/10.1109/bibm55620.2022.9994925.

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Francis-Lyon, Patricia, Shashank Belvadi, and Fu-Yuan Cheng. "Detection and characterization of interactions of genetic risk factors in disease." In Python in Science Conference. SciPy, 2013. http://dx.doi.org/10.25080/majora-8b375195-007.

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Snyder, J., A. Weston, and E. Demchuk. "332. Molecular Basis of Genetic Risk Assessment in Chronic Beryllium Disease." In AIHce 2004. AIHA, 2004. http://dx.doi.org/10.3320/1.2758364.

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Li, Jiaxin, and Jing Li. "Genetic Risk Prediction of Alzheimer's Disease Based on CNN Neural Network." In 2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2023. http://dx.doi.org/10.1109/acait60137.2023.10528452.

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Gomes, Victor Hugo de Souza Silva, Klesia Adaynny Rodrigues, Isadora Soares Constantini de Andrade, et al. "Use of free genetic screening methods in neurology outpatients in cuiaba: advantages and interpretation difficulties." In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.368.

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Introduction: Medical genetics is increasingly gaining in modern medicine, through panels that enable the screening and diagnosis of rare diseases, becoming an effective ally in determination of some pathologies. In 2021, Invitae provided of medical outpatient clinics with kits for collecting genetic material in order to assist the specialist in diagnosing unusual and difficult-to-recognize conditions. In Cuiabá, the residency in Neurology was chosen to host the use of these methods. Objectives and methods: List the genetic tests collected through oral swabs and quantify the diagnoses made, in

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Звіти організацій з теми "Genetic risk of disease"

1

Krauss, Ronald. CRADA Final Report: Genetic Testing for Evaluation of Heart Disease Risk. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/1157021.

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Wang, Ying yuan, Zechang Chen, Luxin Zhang, et al. A systematic review and network meta-analysis: Role of SNPs in predicting breast carcinoma risk. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.2.0092.

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Review question / Objective: P: Breast cancer patient; I: Single nucleotide polymorphisms associated with breast cancer risk; C: Healthy person; O: By comparing the proportion of SNP mutations in the tumor group and the control group, the effect of BREAST cancer risk-related SNP was investigated; S: Case-control study. Condition being studied: Breast cancer (BC) is one of the most common cancers among women, and its morbidity and mortality have continued to increase worldwide in recent years, reflecting the strong invasiveness and metastasis characteristics of this cancer. BC is a complex dise

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Wongpiyabovorn, Jongkonnee, Nattiya Hirankarn, Yingyos Avihingsanon, Tewin Tencomnao, Yong Poovorawan, and Kriangsak Ruchusatsawat. The association between immunogenetics and genetic susceptibility of psoriasis in Thai population. Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.27.

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Psoriasis is T-cell-mediated skin autoimmunity, required environmental triggers and genetic susceptibility factors to become manifested. Psoriasis is a chronic skin disease characterized by the abnormal hyperproliferation and differentiation of the epidermis, elongated and prominent blood vessels and a thick perivascular lymphocytic infiltrate. Vascular endothelial growth factor (VEGF) gene play important role in pathogenesis of various diseases with angiogenic basis such as breast cancer and autoimmune disease including psoriasis. Many studies analyzed the association of VEGF gene polymorphis

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Cao, Xianling, Xuanyou Zhou, Naixin Xu, Songchang Chang, and Chenming Xu. Association of IL-4 and IL-10 Polymorphisms with Preterm Birth Susceptibility: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.4.0044.

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Review question / Objective: The aim of our systematic review and meta-analysis was to summarize the effects of IL-4 and IL-10 gene polymorphism and clarify their possible association with PTB. Condition being studied: World Health Organization (WHO) defines preterm birth (PTB) as babies born alive before 37 weeks of pregnancy are completed. The new estimates show that the prevalence of PTB during 2014 ranged from 8.7% to13.4% of all live births, about 15 million preterm babies born each year. Besides, PTB is the leading cause of death worldwide for children below 5 years of age. Babies born p

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Dubief, Jessie. Setting Standards of Care Quality! EURORDIS - Rare Diseases Europe, 2020. http://dx.doi.org/10.70790/igio1525.

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This report presents the results of the H-CARE Pilot Survey for the four European Reference Networks (ERNs) that initated this study conducted by Rare Barometer: ERN GENTURIS, ERKNet, ERN Lung and eUROGEN. The goal of this study was to test the feasibility of measuring rare disease patients’ and carers’ experience with the care delivered by healthcare providers who are part of an ERN. A Topic Expert Committee composed of patient representatives, clinicians and managers from ERNs GENTURIS, ERKNet, Lung and eUROGEN selected a patient reported Experience Measure (PREM) questionnaire validated for

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Zhao, Bingyu, Saul Burdman, Ronald Walcott, and Gregory E. Welbaum. Control of Bacterial Fruit Blotch of Cucurbits Using the Maize Non-Host Disease Resistance Gene Rxo1. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699843.bard.

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The specific objectives of this BARD proposal were: (1) To determine whether Rxol can recognize AacavrRxo1 to trigger BFB disease resistance in stable transgenic watermelon plants. (2) To determine the distribution of Aac-avrRxo1 in a global population of Aae and to characterize the biological function of Aac-avrRxo1. (3) To characterize other TIS effectors of Aae and to identify plant R gene(s) that can recognize conserved TIS effectors of this pathogen. Background to the topic: Bacterial fruit blotch (BFB) of cucurbits, caused by Acidovorax avenae subsp. citrulli (Aae), is a devastating dise

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Mengak, Michael T. Wildlife Translocation. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, 2018. http://dx.doi.org/10.32747/2018.7210105.ws.

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Many people enjoy wildlife. Nationwide, Americans spend over $144 billion annually on fishing, hunting, and wildlife-watching activities. However, wildlife is not always welcome in or near homes, buildings, or other property and can cause significant damage or health and safety issues. Many people who experience a wildlife conflict prefer to resolve the issue without harming the offending animal. Of the many options available (i.e., habitat modification, exclusion, repellents) for addressing nuisance wildlife problems, translocation—capturing and moving—of the offending animal is often perceiv

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Tangkijvanith, Pisit. Prevalence and Clinical Significance of Hepatitis B Viral Genotypes and Mutations. Faculty of Medicine, Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.24.

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Hepatitis B virus (HBV) infection is a major public health problem, with more than 400 million HBV carriers estimated worldwide. Chronic HBV infection is associated with a diverse clinical spectrum of liver damage ranging from asymptomatic carrier status, chronic hepatitis, cirrhosis, and hepatocellular carcinoma (HCC). There have been increasing lines of evidence to indicate influences of HBV genotypes and mutations on the outcome of liver disease, particularly the development of HCC. The project is aimed to study the prevalence and clinical significance of genotypes and mutations in Precore/

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Reecy, James M., and Matt Schneider. Heritability of Genetic Resistance to Bovine Respiratory Disease. Iowa State University, Digital Repository, 2006. http://dx.doi.org/10.31274/farmprogressreports-180814-757.

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Gelmann, Edward P. Genetic Risk Factor for Prostate Cancer. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434784.

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