Course Live Intermediate Dr. Omics

Specialised Course of GWAS Analysis : From Genetic Variants to Disease Associations

Learn how to identify genetic variants associated with complex traits and diseases through a practical Genome-Wide Association Study (GWAS) analysis workflow.

  • 5.0/5
  • English
  • Updated Sep 2026
Specialised Course of GWAS Analysis : From Genetic Variants to Disease Associations

About this course

Explore the complete GWAS analysis workflow, from genetic variant data to the identification and interpretation of disease-associated variants. This specialised course introduces the principles of genome-wide association studies and provides hands-on training in genotype data quality control, variant filtering, population structure analysis, association testing, visualization, and interpretation of significant genetic associations. Participants will learn how computational and statistical approaches can be used to uncover relationships between genetic variation and phenotypic traits, providing a strong foundation for modern human genetics and computational genomics research.

What you will learn

Understand the principles and applications of GWAS.
Prepare and perform quality control on genotype datasets.
Apply variant and sample-level filtering techniques.
Understand population structure and genetic relatedness.
Perform genome-wide association testing.
Identify statistically significant genetic variants associated with traits.
Generate and interpret Manhattan and Q-Q plots.
Understand multiple-testing correction and significance thresholds.
Interpret GWAS results in a biological research context.
Develop a basic end-to-end GWAS analysis workflow.

Skills you will gain

GWAS fundamentals genotype data analysis genetic variant quality control sample quality control SNP filtering genotype preprocessing population structure analysis genetic relatedness association testing statistical analysis multiple-testing correction Manhattan plots Q-Q plots variant interpretation disease association analysis computational genomics
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

  • Introduction to GWAS
  • Impact of genetic diversity on individual drug responses.
  • Methods and Technologies in GWAS
  • Clinical Implications
  • GWAS analysis using real data
  • Installation of HAIL package
  • Plots before quality check
  • Quality control based on Sample level
  • genotype quality and Variants level
  • GWAS analysis and Annotations

What you need to start

  • Basic understanding of genetics and molecular biology.
  • Familiarity with SNPs, genotypes, and genetic variation.
  • Basic knowledge of bioinformatics and statistics is helpful.
  • Basic Linux/command-line knowledge is an advantage but not mandatory.

Who this course is for

  • B.Sc./M.Sc. students in Bioinformatics, Biotechnology, Genetics, Genomics, and Life Sciences.
  • PhD scholars and research students working in genetics or genomics.
  • Bioinformatics and computational biology learners.
  • Researchers interested in human genetics and disease association studies.
  • Students and professionals looking to develop practical GWAS analysis skills.
INR

₹12000

₹15000 20% off
USD

$180

$200 10% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

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Active batch
Open for enrolment
Specialised Course of GWAS Analysis : From Genetic Variants to Disease Associations
  • Starts 19 Oct 2026
  • Ends 02 Nov 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Intermediate
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics
  • Complete GWAS analysis workflow.
  • Genotype and SNP data quality control.
  • Variant and sample filtering.
  • Population structure and relatedness analysis.
  • Genome-wide association testing.
  • Multiple-testing correction and significance assessment.
  • Manhattan and Q-Q plot generation and interpretation.
  • Hands-on analysis with representative genetic datasets.
  • Practical GWAS result interpretation.
  • Course materials and learning resources.
  • Certificate of completion.
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