logging in or signing up 02 Post Challenges Umberto Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 68 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 21, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Challenges of an Epidemiologist Working in Genomics: Challenges of an Epidemiologist Working in Genomics Wendy Post, MD, MS Associate Professor of Medicine and Epidemiology Cardiology Division Johns Hopkins UniversitySlide2: “There is a need to bridge the chasm between geneticists and traditional epidemiologists who are now wondering how they can apply GWAS technology to their studies”. Teri Manolio 5/8/07Slide3: Nature Genetics 2006;38(6):644-51 (epub Apr 30 2006).Slide4: CAPON Association with adjusted QT interval Results of a genome wide association study in KORA S4 and 2 replication cohorts n n KORA S4 3366 4.9 msec 36% < 10 -7 Cohort N Effect MAF Adjusted p KORA F3 2646 7.9 msec 36% < 10 -11 FHS 1805 4.0 msec 39% 0.004 Arking DE, Pfeufer A, Post W et al. Nature Genetics; published online Apr 30 2006. *QT- adjusted for age, gender and heart rateSlide7: Heritability of Left Ventricular Mass The Framingham Heart Study Wendy S. Post; Martin G. Larson; Richard H. Myers; Maurizio Galderisi; Daniel Levy Hypertension. 1997;30:1025-1028. © 1997 American Heart Association, Inc. From the National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Mass (W.S.P., M.G.L., R.H.M., M.G., D.L.); the Division of Cardiology, Beth Israel Hospital, Boston, Mass (D.L.); the Department of Neurology (R.H.M.), Division of Epidemiology and Preventive Medicine (M.G.L., D.L.), Boston University School of Medicine; the National Heart, Lung, and Blood Institute, Bethesda, Md (D.L.), University of Naples, Italy (M.G.); and the Division of Cardiology, Johns Hopkins Hospital, Baltimore, Md (W.S.P.).Confusing genetics nomenclature: Confusing genetics nomenclature Before rs numbers the snp names kept changing Makes it hard to compare results to prior studies in PubMed rs numbers (RefSNP accession ID- db SNP) db SNP- reference database (www.dbsnp.com) Forward strand versus reverse strand Nucleotide names Dominant model versus recessive model Relative to major or minor allele? AB+AB vs BB Remembering my biochemistry Untranslated exon? Exon= region of DNA transcribed into the final mRNAComplicated authorship issues: Complicated authorship issues Collaboration is key Phenotypers Statisticians Bioinformatics Genotypers Collaboration with other cohorts for replication/validation Order of authorship on manuscripts is not straightforward Decide before the work is done What covariates to put in the model?: What covariates to put in the model? Epidemiologists “worry” a lot about confounding. Confounders are associated with the outcome (phenotype) and the predictor (genotype). most of our traditional confounders are not associated with genotype. Might want to add covariates for “precision” How much of the variability in the phenotype is explained by genotype after including known predictors in the model? Choosing appropriate control groups: Choosing appropriate control groups Epidemiology 101 Cases and controls need to be collected in a similar fashion similar ancestry similar environmental exposuresDealing with population stratification: Dealing with population stratification How big of an issue is it really? Should we use AIMs or self described race/ethnicity? AIM (ancestral informative markers) allele frequencies of snps differ based on parental population Can estimate the ancestral proportion of an individual Self described race/ethnicity When can we combine racial/ethnic groups for analyses when there is no statistical interaction?Gene-environment and gene-gene interactions: Gene-environment and gene-gene interactions Complex disorders Multiple genes and environmental interactions Tests for interactions Multiple testing issues Power How to combine multiple genes/snps into same prediction modelMultiple testing issues: Multiple testing issues Fishing expedition Traditionally in epidemiology, seen as “poor science” GWAS is a really big, sophisticated, fishing expedition Fishing in Alaska for seven different kinds of salmon, instead of fishing on the LI sound. What p value do we use?: What p value do we use? Bonferroni adjustment seems overly conservative False negatives False Discovery Rate Need for replication/validation What cutpoint do we use to move results forward?Other issues: Other issues Lack of reproducibility False positives versus differences in environmental exposures or haplotype structure different study design HWE Relative frequency of alleles for a snp are stable in the population (not changing over successive generations). p2, 2pq, q2 What genetic model to test 2df, additive, dominant, recessive Again, issues of multiple testing ariseTo patent or not to patent our results: To patent or not to patent our results Epidemiologists rarely patent findings History of new scientific discoveries in genetics acquiring patents Could hinder scientific progress?Slide18: Ann. Int. Med. 49:556-567, 1958 You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
02 Post Challenges Umberto Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 68 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 21, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Challenges of an Epidemiologist Working in Genomics: Challenges of an Epidemiologist Working in Genomics Wendy Post, MD, MS Associate Professor of Medicine and Epidemiology Cardiology Division Johns Hopkins UniversitySlide2: “There is a need to bridge the chasm between geneticists and traditional epidemiologists who are now wondering how they can apply GWAS technology to their studies”. Teri Manolio 5/8/07Slide3: Nature Genetics 2006;38(6):644-51 (epub Apr 30 2006).Slide4: CAPON Association with adjusted QT interval Results of a genome wide association study in KORA S4 and 2 replication cohorts n n KORA S4 3366 4.9 msec 36% < 10 -7 Cohort N Effect MAF Adjusted p KORA F3 2646 7.9 msec 36% < 10 -11 FHS 1805 4.0 msec 39% 0.004 Arking DE, Pfeufer A, Post W et al. Nature Genetics; published online Apr 30 2006. *QT- adjusted for age, gender and heart rateSlide7: Heritability of Left Ventricular Mass The Framingham Heart Study Wendy S. Post; Martin G. Larson; Richard H. Myers; Maurizio Galderisi; Daniel Levy Hypertension. 1997;30:1025-1028. © 1997 American Heart Association, Inc. From the National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Mass (W.S.P., M.G.L., R.H.M., M.G., D.L.); the Division of Cardiology, Beth Israel Hospital, Boston, Mass (D.L.); the Department of Neurology (R.H.M.), Division of Epidemiology and Preventive Medicine (M.G.L., D.L.), Boston University School of Medicine; the National Heart, Lung, and Blood Institute, Bethesda, Md (D.L.), University of Naples, Italy (M.G.); and the Division of Cardiology, Johns Hopkins Hospital, Baltimore, Md (W.S.P.).Confusing genetics nomenclature: Confusing genetics nomenclature Before rs numbers the snp names kept changing Makes it hard to compare results to prior studies in PubMed rs numbers (RefSNP accession ID- db SNP) db SNP- reference database (www.dbsnp.com) Forward strand versus reverse strand Nucleotide names Dominant model versus recessive model Relative to major or minor allele? AB+AB vs BB Remembering my biochemistry Untranslated exon? Exon= region of DNA transcribed into the final mRNAComplicated authorship issues: Complicated authorship issues Collaboration is key Phenotypers Statisticians Bioinformatics Genotypers Collaboration with other cohorts for replication/validation Order of authorship on manuscripts is not straightforward Decide before the work is done What covariates to put in the model?: What covariates to put in the model? Epidemiologists “worry” a lot about confounding. Confounders are associated with the outcome (phenotype) and the predictor (genotype). most of our traditional confounders are not associated with genotype. Might want to add covariates for “precision” How much of the variability in the phenotype is explained by genotype after including known predictors in the model? Choosing appropriate control groups: Choosing appropriate control groups Epidemiology 101 Cases and controls need to be collected in a similar fashion similar ancestry similar environmental exposuresDealing with population stratification: Dealing with population stratification How big of an issue is it really? Should we use AIMs or self described race/ethnicity? AIM (ancestral informative markers) allele frequencies of snps differ based on parental population Can estimate the ancestral proportion of an individual Self described race/ethnicity When can we combine racial/ethnic groups for analyses when there is no statistical interaction?Gene-environment and gene-gene interactions: Gene-environment and gene-gene interactions Complex disorders Multiple genes and environmental interactions Tests for interactions Multiple testing issues Power How to combine multiple genes/snps into same prediction modelMultiple testing issues: Multiple testing issues Fishing expedition Traditionally in epidemiology, seen as “poor science” GWAS is a really big, sophisticated, fishing expedition Fishing in Alaska for seven different kinds of salmon, instead of fishing on the LI sound. What p value do we use?: What p value do we use? Bonferroni adjustment seems overly conservative False negatives False Discovery Rate Need for replication/validation What cutpoint do we use to move results forward?Other issues: Other issues Lack of reproducibility False positives versus differences in environmental exposures or haplotype structure different study design HWE Relative frequency of alleles for a snp are stable in the population (not changing over successive generations). p2, 2pq, q2 What genetic model to test 2df, additive, dominant, recessive Again, issues of multiple testing ariseTo patent or not to patent our results: To patent or not to patent our results Epidemiologists rarely patent findings History of new scientific discoveries in genetics acquiring patents Could hinder scientific progress?Slide18: Ann. Int. Med. 49:556-567, 1958