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Course Syllabus

SIRE 506 Design and Analysis in Genetic Studies of Human Diseases

Date: Jan 7 – May 6, 2019 Academic Year: 2018

DATE TIME Format Topic Lecturer
7/1/19 1-5pm Lecture Complex Genetic Diseases in the Population BS
14/1/19 1-3pm Lecture Study designs in epidemiology and genetics BS
14/1/19 3-5pm Lab Designing genetic studies BS
21/1/19 1-3pm Lecture Data management, data wrangling, EDA DM
21/1/19 3-5pm Lab Introduction to R DM
28/1/19 1-3pm Lecture Methods for high-throughput genotyping and sequencing HG
28/1/19 3-5pm Lab PLINK: HWE, Call rate, and QC HG
4/2/19 1-3pm Lecture Fundamentals in the analysis of genetic studies BS
4/2/19 3-5pm Lab Probability Reviews BS
11/2/19 8-10am Lecture Recombination and linkage analysis JE
11/2/19 10-12pm Lab Recombination and linkage analysis JE
18/2/19 1-3pm Lecture Linkage disequilibrium and LD mapping BS
18/2/19 3-5pm Lab Haploview, LDZoom BS
25/2/19 1-3pm Lecture Designs and analysis in quantitative trait genetics studies PC
25/2/19 3-5pm Lab T-test, ANNOVA, linear regression PC
4/3/19 1-3pm Lecture Designs and analysis of binary traits in genetics studies PC
4/3/19 3-5pm Lab Chi square, trend-test, logistic regression PC
11/3/19 8-10am Lecture Genome-wide association study JE
11/3/19 10-12pm Lab Analysis & Visualization JE
18/3/19 8-10am Lecture Confounders & Population Substructure JE
18/3/19 10-12pm Lab MDR and PCA JE
25/3/19 1-3pm Lecture Mendelian randomization & meta-analysis PC
25/3/19 3-5pm Lab Meta-analysis and MR 3-5pm PC
1/4/19 1-3pm Lecture Genetic studies using next-generation sequencing technology HG
1/4/19 3-5pm Lab Variant prioritization software HG
22/4/19 1-3pm Lecture Analysis of transcriptome data VC
22/4/19 3-5pm Lab Gene Expression Analysis VC
29/4/19 1-3pm Lecture Systems biology VC
29/4/19 3-5pm Lab Molecular Interaction & Network VC
13/5/19 TBD Lecture Final exam

Scoring:

  • Attendance: 10%
  • Homework: 60%
  • Final Exam: 30%

Grading:

  • A > 90%
  • B+ [80-90)
  • B [70-80)
  • C < 70%

Course coordinator:

Assistant professor Dr. Bhoom Suktitipat, MD, PhD
Graduate Program in Medical Bioinformatics
Department of Biochemistry, Faculty of Medicine Siriraj Hospital &
Integrative Computational BioScience Center, Mahidol University

Instructors

  • Dr. Dumrong Mairiant, PhD (Biotech, NSTDA)
  • Dr. Harald Grove, PhD (Faculty of Medicine Siriraj Hospital, Mahidol University)
  • Dr. Jakris Eu-ahsunthornwattana, MD, PhD (Faculty of Medicine Ramathibodi Hospital, Mahidol University)
  • Dr. Pimphen Charoen, PhD (Faculty of Tropical Medicine, Mahidol University)
  • Dr. Vardodom Charoensawan, PhD (Faculty of Science, Mahidol University)

Reference Books

  1. Laird NM, Lange C. The Fundamentals of Modern Statistical Genetics. Springer Science & Business Media; 2010. 226 p.
  2. Thomas DC. Statistical methods in genetic epidemiology. Oxford University Press; 2004. 458 p.
  3. Ziegler A, König IR. A statistical approach to genetic epidemiology: Concepts and Applications. John Wiley & Sons; 2010. 522 p.

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