Download Translation of Complex Genetic Data into Scientific Knowledge

Educational Immersion Experience Title: Translation of Complex Genetic Data into Scientific
Knowledge
Mentor(s): C. Charles Gu, Ph.D.
Location: Shriner’s Building
Educational goals:
1) Understand mapping of complex disease genes by large-scale genetic epidemiology studies
2) Understand construction and application of haplotypes to analysis of complex genetic data
3) Understand analysis and interpretation of high dimensional microarray data (genome-wide scan, gene
expression, etc.)
Weeks 1-3:
Participate in laboratory meeting (1 hour/week)
Select data sets and methods for analysis of complex data (6 hours/week)
Meet with Dr. Gu (1 hour/week)
Weeks 3-6: Participate in laboratory meeting (1 hour/week)
Work on large scale genotype data set (6 hours/week)
Meet with Dr. Gu (1 hour/week)
Weeks 7-9: Participate in laboratory meeting (1 hour/week)
Work on large scale microarray data set (6 hours/week)
Meet with Dr. Gu (1 hour/week)
Weeks 10-12: Participate in laboratory meeting (1 hour/week)
Complete analyses of genotype and microarray data sets (6 hours/week)
Present one hour seminar concerning data set analyses(1 hour/week)
Meet with Dr. Gu (1 hour/week)
Suggested readings:
Gu D, et al. Heritability of blood pressure responses to dietary sodium and potassium intake in a Chinese
population. Hypertension. 50(1):116-22, 2007
Rochat RH, et al. A novel method combining linkage disequilibrium information and imputed functional
knowledge for tagSNP selection. Human Heredity. 64(4):243-9, 2007
Gu CC, et al. An investigation of genome-wide associations of hypertension with microsatellite markers in the
family blood pressure program (FBPP). Human Genetics. 121(5):577-90, 2007
Gu CC, et al. Measuring marker information content by the ambiguity of block boundaries observed in dense
SNP data. Annals of Human Genetics. 71(Pt 1):127-40, 2007