Difference between revisions of "Genassoc2020"
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The emphasis of this course is on strategies for the genetic mapping of complex human traits. It will include theory as well as practical exercises. The exercises will be carried out using a variety of computer programs (PLINK, PSEQ, R, SAIGE, UNPHASED, and Variant Association Tools (VAT), etc.) and with pencil and paper. The emphasis of this course is on the analysis of population-based whole genome and exome data including genotype and sequence data. TOPICS include: Association analysis of qualitative and quantitative traits; single marker and haplotype analysis; analysis of whole-genome association study data; complex trait rare variant association analysis of next-generation sequence data; data quality control for genotype and next-generation sequence data; haplotype reconstruction; controlling population admixture (genomic control, multi-dimensional scaling, principal components analysis, etc); generalized linear mixed models and linear mixed models, polygenic risk scores; imputing and analysis of imputed genotype data; detecting gene x gene and gene x environmental interactions; power and sample size estimation for both genotype and rare variant data; permutation (estimating empirical p-values); and false discovery rate (FDR). | The emphasis of this course is on strategies for the genetic mapping of complex human traits. It will include theory as well as practical exercises. The exercises will be carried out using a variety of computer programs (PLINK, PSEQ, R, SAIGE, UNPHASED, and Variant Association Tools (VAT), etc.) and with pencil and paper. The emphasis of this course is on the analysis of population-based whole genome and exome data including genotype and sequence data. TOPICS include: Association analysis of qualitative and quantitative traits; single marker and haplotype analysis; analysis of whole-genome association study data; complex trait rare variant association analysis of next-generation sequence data; data quality control for genotype and next-generation sequence data; haplotype reconstruction; controlling population admixture (genomic control, multi-dimensional scaling, principal components analysis, etc); generalized linear mixed models and linear mixed models, polygenic risk scores; imputing and analysis of imputed genotype data; detecting gene x gene and gene x environmental interactions; power and sample size estimation for both genotype and rare variant data; permutation (estimating empirical p-values); and false discovery rate (FDR). | ||
| − | The organizers and instructors for the course are | + | The organizers and instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne). |
Application Deadline April 15, 2020 | Application Deadline April 15, 2020 | ||
Revision as of 22:10, 27 February 2020
Genetic Association Course
With Application to Sequence and Genotype Data
June 22-26, 2020
Max Delbruck Center (MDC) for Molecular Medicine
Berlin, Germany
The tenth annual Berlin Genetic Association Course will be held at the MDC in Berlin from June 22-26, 2020. The goal of the course is to teach course participants both theory and application of methods for population based association analysis, with a concentration on the analysis of exome and whole-genome sequence and genotype data.
The cost of the 5-day course is 975 EUR for researchers from an academic institution, and 1,950 EUR for individuals from private (for profit) companies. This fee covers tuition, Monday evening wine and cheese party and course-related expenses (handouts, etc.) but not room, board or meals. Inexpensive housing is available for course participants at the MDC and nearby hotels.
The emphasis of this course is on strategies for the genetic mapping of complex human traits. It will include theory as well as practical exercises. The exercises will be carried out using a variety of computer programs (PLINK, PSEQ, R, SAIGE, UNPHASED, and Variant Association Tools (VAT), etc.) and with pencil and paper. The emphasis of this course is on the analysis of population-based whole genome and exome data including genotype and sequence data. TOPICS include: Association analysis of qualitative and quantitative traits; single marker and haplotype analysis; analysis of whole-genome association study data; complex trait rare variant association analysis of next-generation sequence data; data quality control for genotype and next-generation sequence data; haplotype reconstruction; controlling population admixture (genomic control, multi-dimensional scaling, principal components analysis, etc); generalized linear mixed models and linear mixed models, polygenic risk scores; imputing and analysis of imputed genotype data; detecting gene x gene and gene x environmental interactions; power and sample size estimation for both genotype and rare variant data; permutation (estimating empirical p-values); and false discovery rate (FDR).
The organizers and instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne).
Application Deadline April 15, 2020
For additional information on the Complex Trait Analysis of NGS Data Course please contact Suzanne Leal: Email: suzannemleal@gmail.com
Click here for course schedule
Click here for the application form
Click here for course flyer (please post and distribute)
Click here for maps and directions to the MDC
Click here for the information on MDC Housing
Click here for Berlin tourist information
