Satish Kenchaiah

  Satish Kenchaiah
Academic rank
  Instructor in Medicine
  Preventive Medicine
Training name and year attended
  Genomic and Proteomic Approaches to Complex Heart, Lung, Blood, & Sleep Disorders: Year 2011
Training web link
Brief training description
  Please see training web link :

This highly acclaimed course covers the application of statistics, molecular biology and genetics to the analysis of complex diseases such as asthma, hypertension and coronary heart disease. Both human and animal model data are presented and considered in depth.

Students learn to detect the genetic basis of disease, perform linkage analysis, conduct genome scans, analyze quantitative trait loci, detect gene interactions, map complex disease genes and clone genes. Emphasis is also placed on how to characterize gene function using the latest in biochemical and molecular genetic techniques. Contemporary approaches to gene discovery such as mutagenesis, microarray analysis, comparative genomics and SNP discovery and analysis are also covered. Social and ethical issues surrounding the generation and use of genetic information are discussed during the course.

Intensive hands-on workshops further expose students to the bioinformatics tools such as: Omim, MGD, Unigene, GeneBank, Blast, Gene-scan, SwissProt and Entrez.

The formal lectures, discussion groups, demonstrations and tutorials, study sessions, recreational activities and informal residential interaction provide a unique and varied learning opportunity.

This intensive residential course is designed for 30-40 participants who hold a doctoral degree or equivalent. The course is held at The Jackson Laboratory’s Highseas Conference Center.

What did you learn?
  Directly relevant to my research interests, I learnt:
1. approaches to design and conduct Genome Wide Association Studies (GWAS), candidate gene association studies, and genetic linkage analysis;
2. methods to identify and assess gene-gene and gene-environment interactions;
3. proteomic and metabolomic approaches to phenotype characterization; and
4. basic concepts of epigenetics and pharmacogenetics.
Would you recommend the program? Who could benefit from attending?
  Yes, I would recommend the program to any investigator interested in learning fundamentals of genetic epidemiology and mouse genetics. Workshops on bioinformatics tools are useful; however, this course is not designed to teach programming aspects of genetic data analysis.
Are you willing to be contacted about the program?
  • Yes

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