Difference between revisions of "Genassoc2024"
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=Genetic Association Course= | =Genetic Association Course= | ||
'''with application to sequence and genotype data''' | '''with application to sequence and genotype data''' | ||
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| − | September 16-20, 2024 | + | September 16-20, 2024 |
| − | Max Delbrück Center (MDC) for Molecular Medicine | + | |
| + | Max Delbrück Center (MDC) for Molecular Medicine | ||
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Berlin, Germany | Berlin, Germany | ||
</div> | </div> | ||
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| − | The eleventh annual Berlin Genetic Association Course will be held at the [https://www.mdc-berlin.de/ MDC] in Berlin from September 16-20, 2024. 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 | + | The eleventh annual Berlin Genetic Association Course will be held at the [https://www.mdc-berlin.de/ MDC] in Berlin from September 16-20, 2024. The goal of the course is to teach course participants both the theory and application of methods for population-based association analysis, with a concentration on the analysis of human exome and whole-genome sequence and genotype array data. |
| − | The cost of the 5-day course is 975 EUR for researchers from an academic institution | + | 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 course dinner, and course-related expenses (handouts, etc.) but not room, board, or meals. Housing is available for course participants at 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 (ANNOVAR, FAST-GWA, PLINK, R | + | 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 (ANNOVAR, FAST-GWA, bcftools/vcftools, LDPhred2, PLINK, R, and REGENIE) and with pencil and paper. The emphasis of this course is on the analysis of population-based whole genome and exome sequence data and genotype array and imputed data. TOPICS include association analysis of qualitative and quantitative traits; single marker and rare variant aggregate 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); estimation of heritability and genetic correlations, generalized linear mixed models and linear mixed models, Mendelian Randomization, 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 instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne). | The instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne). | ||
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Email: [mailto:suzannemleal@gmail.com?subject=Genetic%20Association%20Course%202024 suzannemleal@gmail.com] | Email: [mailto:suzannemleal@gmail.com?subject=Genetic%20Association%20Course%202024 suzannemleal@gmail.com] | ||
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Latest revision as of 17:23, 16 June 2024
Genetic Association Course
with application to sequence and genotype data
September 16-20, 2024
Max Delbrück Center (MDC) for Molecular Medicine
Berlin, Germany
The eleventh annual Berlin Genetic Association Course will be held at the MDC in Berlin from September 16-20, 2024. The goal of the course is to teach course participants both the theory and application of methods for population-based association analysis, with a concentration on the analysis of human exome and whole-genome sequence and genotype array 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 course dinner, and course-related expenses (handouts, etc.) but not room, board, or meals. Housing is available for course participants at 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 (ANNOVAR, FAST-GWA, bcftools/vcftools, LDPhred2, PLINK, R, and REGENIE) and with pencil and paper. The emphasis of this course is on the analysis of population-based whole genome and exome sequence data and genotype array and imputed data. TOPICS include association analysis of qualitative and quantitative traits; single marker and rare variant aggregate 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); estimation of heritability and genetic correlations, generalized linear mixed models and linear mixed models, Mendelian Randomization, 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 instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne).
For additional information on the Genetic Association Course please contact Suzanne Leal: Email: suzannemleal@gmail.com
Click here for the course schedule
