Course Description

This 10-day course provides an in-depth introduction to statistical genetics, focusing on applications using R for genetic data analysis. Participants will explore methods for analyzing genomic data, gene-environment interactions, quantitative trait loci (QTL) mapping, and more. Practical sessions will guide students through R packages and tools used in genetics research.

Learning Outcomes

• Understand fundamental concepts in statistical genetics.
• Perform statistical analysis of genetic data using R.
• Apply various methods for GWAS, QTL mapping, and gene-environment interactions.
• Use R for visualization of genetic data and results.
• Interpret results from genomic studies in the context of population genetics.

Course Structure and Content

Day	Topic
Day 1	Introduction to Statistical Genetics and Genomic Data
Day 2	Genetic Variation and Population Structure
Day 3	Genetic Data Processing and Quality Control in R
Day 4	Association Studies and Genome-Wide Association Studies (GWAS)
Day 5	Statistical Models for GWAS: Linear Models, Mixed Models, and Correction for Population Stratification
Day 6	Quantitative Trait Loci (QTL) Mapping
Day 7	Gene-Environment Interactions in Genetics
Day 8	Genetic Risk Prediction and Polygenic Risk Scores
Day 9	Advanced Topics in Statistical Genetics: Epistasis, Imputation, and Rare Variant Analysis
Day 10	Practical Applications in R: Data Analysis, Visualization, and Reporting

Teaching and Learning Strategy

• Lectures with real-world examples of genetic data analysis.
• Hands-on coding exercises and data analysis using R packages like 'GenABEL', 'PLINK', and 'qtl'.
• Interactive sessions on interpreting genetic findings and their implications.
• Self-paced learning through additional readings and exercises.

Assessment Strategy

• Practical coding exercises and genetic data analysis (40%)
• Quizzes on statistical genetics concepts (20%)
• Final project focused on GWAS, QTL mapping, or gene-environment interaction study (40%)
• Participants achieving 70% or higher will receive a Certificate of Completion.

Certification and Career Opportunities

Upon successful completion, participants will receive a certificate from GLOBALSTAT INTELLIGENCE SOLUTIONS. This course is ideal for professionals in genetic research, bioinformatics, public health, and clinical genetics, enhancing their careers in the rapidly evolving field of statistical genetics.

Contact Information

Email: train@globalstatsol.com

Website: https://www.globalstatsol.com

Enrolling

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