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Introduction to the Program
Improve your knowledge through this program, where you will find the best didactic material with real clinical cases"
The Master's Degree program in Nutritional Genomics and Precision Nutrition for Nursing is unique because it includes a wide range of innovative topics and state-of-the-art results in the field of nutrigenetics and nutrigenomics.
The training program details everything a health professional needs to know about this new specialty. The material is organized in such a way as to advance knowledge without leaving any doubts or gaps in information. It is the best training on the market, because it offers the opportunity to learn online all the innovation in the field of genomic nutrition, including specific modules on laboratory techniques and statistics.
The content includes everything new in the broad field of nutritional genomics such as nutrigenetics, nutrigenomics, epigenetics, metabolomics, market status and laboratory techniques, among others. There is a selection of scientific articles, high-level studies, innovative results and books that the student will be able to access and study.
In addition, this Master's Degree has the innovation of including practical sections on the current state of the market that offer a realistic, practical and updated view for the health professional who needs a 360º vision of the subject. The practical topics help to obtain the necessary critical capacity and deep knowledge of the subject matter for the student to use and apply it in their clinical practice.
This Master's Degree provides students with specific tools and skills to successfully develop their professional activity related to genomic and precision nutrition.
As it is an onlineMaster's Degree, the student is not bound by fixed schedules or the need to move to another physical location, rather, they can access the content at any time of the day, balancing their professional or personal life with their academic life.
Get trained in the broad field of nutritional genomics and offer specialized advice to your patients”
This Master's Degree in Nutritional Genomics and Precision Nutrition for Nursing contains the most complete and up-to-date scientific program on the market. The most important features of the program include:
- The development of case studies presented by experts in Genomic and Precision Nutrition
- The graphic, schematic, and eminently practical contents with which they are created contain information that is indispensable for professional practice
- Practical exercises where the self-assessment process can be carried out to improve learning
- Special emphasis on innovative methodologies in Nutritional Genomics and Precision Nutrition
- Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
- Content that is accessible from any fixed or portable device with an Internet connection
This Master's Degree is the best investment you can make in selecting a refresher program to update your knowledge in Nutritional Genomics and Precision Nutrition for Nursing”
Its teaching staff includes professionals belonging to the field of nutrition, who contribute their work experience to this training, as well as renowned specialists from reference societies and prestigious universities.
The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive training programmed to train in real situations.
This program is designed around Problem Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. To do so, the professional will be assisted by a innovative interactive video system created by renowned and experienced experts in Genomic and Precision Nutrition.
The Master's Degree provides training in simulated environments, which provides immersive learning designed to train professionals for real situations"
This 100% online Master's Degree will allow you to combine your studies with your professional work while increasing your knowledge in this field"
Syllabus
The structure of the contents has been designed by a team of professionals who recognise the implications that training has on daily practice, who are aware of the relevance of current training in Genomic and Precision nutrition, and are committed to quality teaching using new educational technologies.
We have the most complete and up-to-date Scientific Program on the Market”
Module 1. Introduction to Genomic and Precision Nutrition
1.1. Human Genome
1.1.1. DNA discovery
1.1.2. Year 2001
1.1.3. Human Genome Project
1.2. Variations of Interest in Nutrition
1.2.1. Genomic Variations and the Search for Disease Genes
1.2.2. Environmental vs. Genetic Factors and Heritability
1.2.3. Differences between SNPs, Mutations and CNVs
1.3. The Genome of Rare and Complex Diseases
1.3.1. Examples of Rare Diseases
1.3.2. Examples of Complex Diseases
1.3.3. Genotype and Phenotype
1.4. Precision Medicine
1.4.1. Influence of Genetics and Environmental Factors in Complex Diseases
1.4.2. Need for Precision The problem of Missing Heritability Definition of Interaction
1.5. Precision Nutrition vs. Community Nutrition
1.5.1. The Principles of Nutritional Epidemiology
1.5.2. Current Bases of Nutritional Research
1.5.3. Experimental Designs in Precision Nutrition
1.6. Levels of Scientific Evidence
1.6.1. Epidemiological Pyramid
1.6.2. Regulation:
1.6.3. Official Guides
1.7. Consortia and Major Studies in Human Nutrition and Genomic Nutrition
1.7.1 Project Precision4Health
1.7.2. Framingham
1.7.3. PREDIMED
1.7.4. CORDIOPREV
1.8. Current European Studies
1.8.1. PREDIMED Plus
1.8.2. NU-AGE
1.8.3. FOOD4me
1.8.4. EPIC
Module 2. Laboratory Techniques for Nutritional Genomics
2.1. Molecular Biology Laboratory
2.1.1. Basic Instructions
2.1.2. Basic Material
2.1.3. Accreditations Required in the US
2.2. DNA Extraction
2.2.1. From Saliva
2.2.2. From Blood
2.2.3. From Other Fabrics
2.3. Real-Time PCR
2.3.1. Introduction - History of the Method
2.3.2. Basic Protocols Used
2.3.3. Most Used Equipment
2.4. Sequencing
2.4.1. Introduction - History of the Method
2.4.2. Basic Protocols Used
2.4.3. Most Used Equipment
2.5. High-throughput
2.5.1. Introduction - History of the Method
2.5.2. Examples of Human Studies
2.6. Gene Expression - Genomics - Transcriptomics
2.6.1. Introduction - History of the Method
2.6.2. Microarrays
2.6.3. Microfluidic Cards
2.6.4. Examples of Human Studies
2.7. Omics Technologies and their Biomarkers
2.7.1. Epigenomics
2.7.2. Proteomics
2.7.3. Metabolomics
2.7.4. Metagenomics
2.8. Bioinformatics Analysis
2.8.1. Pre- and post-Computing Bioinformatics Programs and Tools
2.8.2. GO Terms, Clustering of DNA Microarray Data
2.8.3. Functional Enrichment, GEPAS, Babelomics
Module 3. Biostatistics for Genomic Nutrition
3.1. Biostatistics
3.1.1. Human Studies Methodology
3.1.2. Introduction to Experimental Design
3.1.3. Estudios clínicos
3.2. Statistical Aspects of a Protocol
3.2.1. Introduction, Objectives, Description of Variables
3.2.2. Quantitative Variables
3.2.3. Qualitative Variables
3.3. Design of Clinical Studies in Humans, Methodological Guidelines
3.3.1. Designs with 2 treatments 2x2
3.3.2. Designs with 3 treatments 3x3
3.3.3. Parallel, Cross-Over and Adaptive Design
3.3.4. Sample Size Determination and Power Analysis
3.4. Evaluation of Treatment Effect
3.4.1. For Parallel Design, for Repeated Measurements, for Cross-Over Design
3.4.2. Randomization of the Order of Treatment Allocation
3.4.3. Carry-Over Effect (Wash Out)
3.5. Descriptive Statistics, Hypothesis Testing, Risk Calculation
3.5.1. Consort, Populations
3.5.2. Study Populations
3.5.3. Grupo control
3.5.4. Subgroup Analysis Types of Studies
3.6. Statistical Errors
3.6.1. Measurement Errors
3.6.2. Random Error
3.6.3. Systematic Error
3.7. Statistical Bias
3.7.1. Selection Bias
3.7.2. Observation Bias
3.7.3. Sesgo de asignación
3.8. Statistical Modeling
3.8.1. Continuous Variable Models
3.8.2. Categorical Variables Models
3.8.3. Linear Mixed Models
3.8.4. Missing data, Flow of Participants, Presentation of Results
3.8.5 Adjustment for Baseline Values, Transformation of Response Variable: Differences, Ratios, Logarithms, Carry-Over Evaluation
3.9. Statistical Modeling with Co-Variables
3.9.1. ANCOVA
3.9.2. Logistic Regression for Binary and Count Variables
3.9.3. Multi-Variant Analysis
3.10. Statistical Programs
3.10.1. The R
3.10.2. SPSS
Module 4. Nutrigenetics I
4.1. Nutrigenetics Authorities and Organizations
4.1.1. NUGO
4.1.2. ISNN
4.1.3. Evaluation Committees
4.2. GWAS I Studies
4.2.1. Population Genetics - Design and Use
4.2.2. Hardy-Weinberg Law
4.2.3. Linkage Imbalance
4.3. GWAS II
4.3.1. Allelic and Genotypic Frequencies
4.3.2. Gene-Disease Association Studies
4.3.3. Association Models ( Dominant, Recessive, Co-dominant)
4.3.4. Genetic Scores
4.4. The Discovery of Nutrition-Related SNPs
4.4.1. Key Studies-Design
4.4.2. Main Results
4.5. The Discovery of SNPs Associated with Nutrition-Related Diseases (Diet-Depended)
4.5.1. Cardiovascular Diseases
4.5.2. Diabetes Mellitus Type II
4.5.3. Metabolic Syndrome
4.6. Main Obesity-Related GWAS
4.6.1. Strengths and Weaknesses
4.6.2. The FTO Example
4.7. Circadian Control of Intake
4.7.1. Gut-Brain Axis
4.7.2. Molecular and Neurological Basis of the Brain-Gut Connection
4.8. Chronobiology and Nutrition
4.8.1. Central Clock
4.8.2. Peripheral Clocks
4.8.3. Circadian Rhythm Hormones
4.8.4. Intake Control (Leptin and Ghrelin)
4.9. SNPs related to Circadian Rhythms
4.9.1. Regulatory Mechanisms of Satiety
4.9.2. Hormones and Intake Control
4.9.3. Possible Pathways Involved
Module 5. Nutrigenetics II - Key Polymorphisms
5.1. Obesity-Related SNPs
5.1.1. The Story of the " Obese Monkey
5.1.2. Appetite Hormones
5.1.3. Thermogenesis
5.2. Vitamin-Related SNPs
5.2.1. Vitamin D
5.2.2. B Complex Vitamins
5.2.3. Vitamin E
5.3. Exercise-Related SNPs
5.3.1. Strength vs. Competition
5.3.2. Sports Performance
5.3.3. Injury Prevention/Recovery
5.4. Oxidative Stress/Detoxification-related SNPs
5.4.1. Genes Encoding Enzymes
5.4.2. Anti-Inflammatory Processes
5.4.3. Phase I+II of Detoxification
5.5. SNP related to Addictions
5.5.1. Caffeine
5.5.2. Alcohol
5.5.3. Salt
5.6. SNP related to Flavor
5.6.1. Sweet Taste
5.6.2. Salty Taste
5.6.3. Bitter Taste
5.6.4. Acid Taste
5.7. SNP vs Allergies vs Intolerances
5.7.1. Lactose
5.7.2. Gluten
5.7.3. Fructose
5.8. PESA Study
Module 6. Nutrigenetics III
6.1. SNPs Predisposing to Complex Nutrition-Related Diseases - Genetic Risk Scores (GRS)
6.2. Type II Diabetes
6.3. Hypertension
6.4. Arteriosclerosis
6.5. Hyperlipidemia
6.6. Cancer
6.7. The Exposome Concept
6.8. Metabolic Flexibility Concept
6.9. Current Studies-Challenges for the Future
Module 7. Nutrigenomics
7.1. Differences and Similarities with Nutrigenetics
7.2. Bioactive Components of Diet on Gene Expression
7.3. The Effect of Micro and Macro Nutrients on Gene Expression
7.4. The Effect of Dietary Patterns on Gene Expression
7.4.1. The Mediterranean Diet Example
7.5. Main Studies in Gene Expression
7.6. Genes related to Inflammation
7.7. Genes related to Insulin Sensitivity
7.8. Genes related to Lipid Metabolism and Adipose Tissue Differentiation
7.9. Genes related to Arteriosclerosis
7.10. Genes related to the Myosceletal System
Module 8. Metabolomics-Proteomics
8.1. Proteomics
8.1.1. Principles of Proteomics
8.1.2. The Flow of Proteomics Analysis
8.2. Metabolomics
8.2.1. Principles of Metabolomics
8.2.2. Targeted Metabolomics
8.2.3. Non-Targeted Metabolomics
8.3. The Microbiome/Microbiota
8.3.1. Microbiome Data
8.3.2. Human Microbiota Composition
8.3.3. Enterotypes and Diet
8.4. Main Metabolomic Profiles
8.4.1. Application to Disease Diagnosis
8.4.2. Microbiota and Metabolic Syndrome
8.4.3. Microbiota and Cardiovascular Diseases Effect of the Oral and Intestinal Microbiota
8.5. Microbiota and Neurodegenerative Diseases
8.5.1. Alzheimer’s Disease
8.5.2. Parkinson’s Disease
8.5.3. ALS
8.6. Microbiota and Neuropsychiatric Diseases
8.6.1. Schizophrenia
8.6.2. Anxiety, Depression, Autism,
8.7. Microbiota and Obesity
8.7.1. Enterotypes
8.7.2. Current Studies and State of Knowledge
Module 9. Epigenetics
9.1. History of Epigenetics - The way I feed my Grandchildren's Inheritance
9.2. Epigenetics vs Epigenomics
9.3. Methylation
9.3.1. Examples of Folate and Choline, Genistein
9.3.2. Examples of Zinc, Selenium, Vitamin A, Protein Restriction
9.4. Histone Modification
9.4.1. Examples of Butyrate, Isothiocyanates, Folate and Choline
9.4.2. Examples of Retinoic Acid, Protein Restriction
9.5. MicroRNA
9.5.1. Biogenesis of MicroRNAs in Humans
9.5.2. Mechanisms of Action-Regulating Processes
9.6. Nutrimiromics
9.6.1. Diet-Modulated MicroRNAs
9.6.2. MicroRNAs involved in Metabolism
9.7. Role of MicroRNAs in Diseases
9.7.1. MicroRNA in Tumorogenesis
9.7.2. MicroRNAs in Obesity, Diabetes and Cardiovascular Diseases
9.8. Gene Variants that Generate or Destroy Binding Sites for MicroRNAs
9.8.1. Main Studies
9.8.2. Results in Human Diseases
9.9. MicroRNA Detection and Purification Methods
9.9.1. Circulating MicroRNAs
9.9.2. Basic Methods Used
Module 10. Current Market State
10.1. Legal Aspects
10.2. Ethical Aspects
10.3. DTC (Direct-to-consumer) Tests
10.3.1. Pros and Cons
10.3.2. Myths of Early DTCs
10.4. Quality Criteria for a Nutrigenetic Test
10.4.1. SNP Selection
10.4.2. Interpretation of Results
10.4.3. Laboratory Accreditations
10.5. Health Professionals
10.5.1. Training Needs
10.5.2. Criteria of Professionals Applying Genomic Nutrition
10.6. Nutrigenomics in the Media
10.7. Integration of Evidence for Personalized Nutritional Counseling
10.8. Critical Analysis of the Current Situation
10.9. Discussion Work
10.10. Conclusions, use of Genomic and Precision Nutrition as Prevention
A unique, key, and decisive training experience to boost your professional development”
Master's Degree in Nutritional Genomics and Precision Nutrition for Nursing
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Bearing in mind that prevention in the area of medicine is still a current objective, especially in diseases that make up a worldwide public health problem, as is the case of obesity, it is necessary to resort to the analysis and use of new theoretical and conceptual tools to achieve this objective. An example of such tools is nutritional genomics, oriented to the modification of cellular metabolism, through the analysis of the relationship between genes and human nutrition. To specialize in this recent field of study, TECH Global University has created a master's degree that will allow nursing professionals to acquire knowledge in human population genetics, through the analysis of the precursor studies in this field. It will also enable them to apply the concepts and trends of this discipline to the personalized prescription of nutritional habits, following the genetic polymorphisms of each patient. In addition, thanks to the theoretical background offered by the curriculum, they will be able to design experimental studies that contribute to the development of this branch of nutrition.
Master's Degree in Nutritional Genomics and Precision Nutrition for Nursing
.
Ensuring health promotion and disease prevention is, for health professionals, a goal that demands a particular set of knowledge and skills. TECH understands their needs and, therefore, proposes this postgraduate program, through which, it will be possible for them to broaden their competences in biostatistics, specifically in the analysis and evaluation of dietary patterns, in the key of nutrigemonics and nutrigenetics. In addition, they will be able to review contents dedicated to epigenetics and metabolomics. In a second level, thanks to the complete curriculum of this Master's Degree, they will have diagnostic and prescriptive skills, necessary for the identification of nutritional epidemiology and the differentiation between precision nutrition and community nutrition. Added to this, the specialist in genomic nutrition for nursing will be characterized by obvious skills in the application of laboratory techniques, such as DNA extraction, Real-time PCR, sequencing, High-Throughput, -omics technologies and their respective bio-markers, and, finally, bio-informatics analysis.