Genassoc2019 - Revision history

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2019-05-22T13:15:50Z

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2019-05-22T13:05:54Z

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Serveradmin at 17:22, 29 April 2019

2019-04-29T17:22:59Z

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2019-04-29T17:16:45Z

Suzanne: /* General Information */

2019-04-02T14:01:36Z

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Suzanne: /* General Information */

2019-04-02T14:00:38Z

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Serveradmin at 02:58, 21 March 2019

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Serveradmin at 02:56, 21 March 2019

2019-03-21T02:56:14Z

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Suzanne: General Information

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General Information

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 ==More Information==
-For additional information on the course please contact [mailto:sleal@bcm.edu?subject=Genetic%20Association%20Course%20Berlin%202018 Suzanne Leal]:
+For additional information on the course please contact [mailto:sml3@cumc.columbia.edu?subject=Genetic%20Association%20Course%20Berlin%202019 Suzanne Leal]:
 email: [mailto:sml3@cumc.columbia.edu?subject=Genetic%20Association%20Course%20Berlin%202019 sml3@cumc.columbia.edu] or [mailto:suzannemleal@gmail.com?subject=Genetic%20Association%20Course%20Berlin%202019 suzannemleal@gmail.com]<br />

@@ Line 27: / Line 27: @@
 For additional information on the course please contact [mailto:sleal@bcm.edu?subject=Genetic%20Association%20Course%20Berlin%202018 Suzanne Leal]:
-email: [mailto:sleal@bcm.edu?subject=Genetic%20Association%20Course%20Berlin%202018 sleal@bcm.edu] or [mailto:suzannemleal@gmail.com?subject=Genetic%20Association%20Course%20Berlin%202018 suzannemleal@gmail.com]<br />
+email: [mailto:sml3@cumc.columbia.edu?subject=Genetic%20Association%20Course%20Berlin%202019 sml3@cumc.columbia.edu] or [mailto:suzannemleal@gmail.com?subject=Genetic%20Association%20Course%20Berlin%202019 suzannemleal@gmail.com]<br />
 Tel: +1 (713) 798-4011<br />
 Fax: +1 (713) 798-4012

← Older revision		Revision as of 17:22, 29 April 2019
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	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 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 in this course is on strategies for 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, GenABEL, MACH, UNPHASED, EIGENSTRAT, Variant Association Tools (VAT), SEQPower and R, 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; tagSNP selection; controlling population admixture (genomic control, principal components analysis, etc); imputing genotype data from sequence and 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 (~~Baylor College of Medicine~~) and Michael Nothnagel (University of Cologne).	+	The emphasis in this course is on strategies for 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, GenABEL, MACH, UNPHASED, EIGENSTRAT, Variant Association Tools (VAT), SEQPower and R, 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; tagSNP selection; controlling population admixture (genomic control, principal components analysis, etc); imputing genotype data from sequence and 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).

@@ Line 31: / Line 31: @@
 Fax: +1 (713) 798-4012
-[https://statgen.research.bcm.edu/files/2019/schedule_berlin_genetic_association_course_2019.pdf Click here for course schedule]<br />
+[http://statgen.us/files/2019/schedule_berlin_genetic_association_course_2019.pdf Click here for course schedule]<br />
-[https://statgen.research.bcm.edu/files/2019/Berlin_Genetic_Association_Course_Application_2019.htm Click here for the application form]<br />
+[http://statgen.us/files/2019/Berlin_Genetic_Association_Course_Application_2019.htm Click here for the application form]<br />
-[https://statgen.research.bcm.edu/files/2019/Berlin_genetic_association_flyer_2019.pdf Click here for course flyer] (please post and distribute)<br />
+[http://statgen.us/files/2019/Berlin_genetic_association_flyer_2019.pdf Click here for course flyer] (please post and distribute)<br />
 [https://www.mdc-berlin.de/directions Click here for maps and directions to the MDC]<br />
 [http://www.bbb-berlin.de/en/gaestehaeuser.html Click here for the information on MDC Housing]<br />
@@ Line 39: / Line 39: @@
 [https://www.facebook.com/statgencourses/?ref=aymt_homepage_pane Click here to visit and like us on Facebook]
-[https://statgen.research.bcm.edu/index.php/Genassoc2017 Click here for photos and datasets for the Genetic Association Course – Berlin: June 2017]<br />
+[http://statgen.us/index.php/Genassoc2017 Click here for photos and datasets for the Genetic Association Course – Berlin: June 2017]<br />
-[https://statgen.research.bcm.edu/index.php/ComplexNGS2017 Click here for photos and datasets for Analysis of NGS data for Complex Traits Course – Berlin: March 2017]<br />
+[http://statgen.us/index.php/ComplexNGS2017 Click here for photos and datasets for Analysis of NGS data for Complex Traits Course – Berlin: March 2017]<br />
-[https://statgen.research.bcm.edu/index.php/NGSMendelian2016 Click here for photos and datasets for Analysis of NGS data for Mendelian Trait Course – Berlin: October-November 2016]<br />
+[http://statgen.us/index.php/NGSMendelian2016 Click here for photos and datasets for Analysis of NGS data for Mendelian Trait Course – Berlin: October-November 2016]<br />
-[https://statgen.research.bcm.edu/index.php/Genassoc2016 Click here for photos and data from Genetic Association Course – Berlin: September 2016]<br />
+[http://statgen.us/index.php/Genassoc2016 Click here for photos and data from Genetic Association Course – Berlin: September 2016]<br />
-[https://statgen.research.bcm.edu/index.php/ComplexNGS2016 Click here for photos and datasets from Analysis of Next Generation Sequence Data for Complex Traits Course – Berlin: July 2016]<br />
+[http://statgen.us/index.php/ComplexNGS2016 Click here for photos and datasets from Analysis of Next Generation Sequence Data for Complex Traits Course – Berlin: July 2016]<br />
-[https://statgen.research.bcm.edu/index.php/2015SeptMDC Click here for photos and datasets from the Analysis of Next Generation Sequence Data Mendelian Traits - Berlin: September 2015]<br />
+[http://statgen.us/index.php/2015SeptMDC Click here for photos and datasets from the Analysis of Next Generation Sequence Data Mendelian Traits - Berlin: September 2015]<br />
-[https://statgen.research.bcm.edu/index.php/2015JuneMDC Click here for photos and datasets from the Genetic Association Course - Berlin: June 2015]<br />
+[http://statgen.us/index.php/2015JuneMDC Click here for photos and datasets from the Genetic Association Course - Berlin: June 2015]<br />
-[https://statgen.research.bcm.edu/index.php/2015MarchMDC Click here for photos and datasets from the Analysis of Next Generation Sequence Data Complex Traits - Berlin: March 2015]<br />
+[http://statgen.us/index.php/2015MarchMDC Click here for photos and datasets from the Analysis of Next Generation Sequence Data Complex Traits - Berlin: March 2015]<br />
 [http://portal.ccg.uni-koeln.de/ccg/index.php?id=89 Click here for photos and datasets from the Genetic Association Course - Berlin: June 2015]<br />
 [http://portal.ccg.uni-koeln.de/ccg/index.php?id=88 Click here for photos and datasets from the Complex Trait Analysis of NGS Data Course - Berlin: March 2015]<br />

← Older revision		Revision as of 14:01, 2 April 2019
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	The emphasis in this course is on strategies for 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, GenABEL, MACH, UNPHASED, EIGENSTRAT, Variant Association Tools (VAT), SEQPower and R, 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; tagSNP selection; controlling population admixture (genomic control, principal components analysis, etc); imputing genotype data from sequence and 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 (Baylor College of Medicine) and Michael Nothnagel (University of Cologne).		The emphasis in this course is on strategies for 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, GenABEL, MACH, UNPHASED, EIGENSTRAT, Variant Association Tools (VAT), SEQPower and R, 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; tagSNP selection; controlling population admixture (genomic control, principal components analysis, etc); imputing genotype data from sequence and 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 (Baylor College of Medicine) and Michael Nothnagel (University of Cologne).
		+
		+
		+	Applications for the course are currently being accepted.

	==More Information==		==More Information==

← Older revision		Revision as of 14:00, 2 April 2019
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	The emphasis in this course is on strategies for 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, GenABEL, MACH, UNPHASED, EIGENSTRAT, Variant Association Tools (VAT), SEQPower and R, 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; tagSNP selection; controlling population admixture (genomic control, principal components analysis, etc); imputing genotype data from sequence and 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 (Baylor College of Medicine) and Michael Nothnagel (University of Cologne).		The emphasis in this course is on strategies for 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, GenABEL, MACH, UNPHASED, EIGENSTRAT, Variant Association Tools (VAT), SEQPower and R, 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; tagSNP selection; controlling population admixture (genomic control, principal components analysis, etc); imputing genotype data from sequence and 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 (Baylor College of Medicine) and Michael Nothnagel (University of Cologne).
−
−	~~Application deadline April 1, 2019~~

	==More Information==		==More Information==

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 Application deadline April 1, 2019
-===More Information===
+==More Information==
 For additional information on the course please contact [mailto:sleal@bcm.edu?subject=Genetic%20Association%20Course%20Berlin%202018 Suzanne Leal]:

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 =Genetic Association Course=
 With Application to Sequence and Genotype Data
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 Berlin, Germany

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 Berlin, Germany
-= =
 ==General Information==
 The eight Annual Berlin Genetic Association Course will be held at the MDC in Berlin from June 24-28, 2019. The goal of the course is to teach the 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.