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		<title>Statistical Genetics Courses - New pages [en]</title>
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		<updated>2026-04-05T19:50:06Z</updated>
		<subtitle>From Statistical Genetics Courses</subtitle>
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	<entry>
		<id>http://statgen.us/GABeyond2026</id>
		<title>GABeyond2026</title>
		<link rel="alternate" type="text/html" href="http://statgen.us/GABeyond2026"/>
				<updated>2026-01-07T23:19:21Z</updated>
		
		<summary type="html">&lt;p&gt;Serveradmin: /* For additional information, please contact Suzanne Leal. */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTITLE__&lt;br /&gt;
&lt;br /&gt;
==Genetic Association and Beyond:&amp;lt;br /&amp;gt;&amp;lt;br /&amp;gt;Statistical Methods to Elucidate Complex Trait Etiology==&lt;br /&gt;
&lt;br /&gt;
'''September 14-18, 2026'''&lt;br /&gt;
'''Max Delbrück Center (MDC) for Molecular Medicine'''&lt;br /&gt;
'''Berlin, Germany'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This new course is being offered in 2026 at the MDC – '''''Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology''''' – that reflects advances in the field of statistical genetics which have occurred in recent years. The course will be held from September 14-18, 2026. The goal of the course is to teach course participants both the theory and application of statistical methods to provide insight into the etiology of human complex traits using a variety of statistical and bioinformatic methods.&lt;br /&gt;
&lt;br /&gt;
===Course Fees===&lt;br /&gt;
The cost of the 5-day course is: Academic Researchers: 975 EUR and Private (for-profit) Companies: 1,950 EUR. The fee covers tuition, the Monday course dinner, and all course-related materials. It does not cover room or board. Housing is available for participants at nearby hotels.&lt;br /&gt;
&lt;br /&gt;
===Topics Covered===&lt;br /&gt;
The course curriculum includes:&lt;br /&gt;
&lt;br /&gt;
* Association analysis of qualitative and quantitative traits (rare and common variants)&lt;br /&gt;
** Obtained from genotype arrays, imputation, and exome and whole genome sequence data&lt;br /&gt;
* Data quality control (genetic and phenotype)&lt;br /&gt;
* Linear mixed models (LMM/GLMM)&lt;br /&gt;
* Controlling for population admixture, substructure, and confounders&lt;br /&gt;
* Gene x gene and gene x environment interactions&lt;br /&gt;
* Imputation of variant data &lt;br /&gt;
* Pleiotropy, mediation analysis, and Mendelian randomization (MR)&lt;br /&gt;
* Heritability estimation, genetic correlations, and polygenic scores (PGS)&lt;br /&gt;
* Power and sample size estimation&lt;br /&gt;
* Permutation, family-wise error rate (FWER), and false discovery rate (FDR)&lt;br /&gt;
* Meta-analysis and fine mapping&lt;br /&gt;
* Proteomic-wide association studies (PWAS)&lt;br /&gt;
&lt;br /&gt;
===Computer Exercises===&lt;br /&gt;
Hands-on exercises will be conducted using the following programs:&lt;br /&gt;
&lt;br /&gt;
* ANNOVAR&lt;br /&gt;
* bcftool&lt;br /&gt;
* Fast-LMM&lt;br /&gt;
* GCTA&lt;br /&gt;
* LD clumping&lt;br /&gt;
* LDSC regression&lt;br /&gt;
* Mediation&lt;br /&gt;
* PLINK&lt;br /&gt;
* R&lt;br /&gt;
* REGENIE&lt;br /&gt;
* TwoSampleMR.&lt;br /&gt;
&lt;br /&gt;
===Instructors===&lt;br /&gt;
* '''Suzanne Leal''' (Columbia University)&lt;br /&gt;
* '''Michael Nothnagel''' (University of Cologne)&lt;br /&gt;
&lt;br /&gt;
====For additional information, please contact [mailto:suzannemleal@gmail.com Suzanne Leal].====&lt;br /&gt;
* [https://raw.githubusercontent.com/statgenetics/statgen-courses/refs/heads/master/schedules/Schedule_Berlin_GA_Beyond_2026.pdf  Course Schedule]&lt;br /&gt;
* [https://raw.githubusercontent.com/statgenetics/statgen-courses/refs/heads/master/applications/Berlin_GA_Beyond_Application_2026.docx  Application Form]&lt;br /&gt;
* [https://raw.githubusercontent.com/statgenetics/statgen-courses/refs/heads/master/flyer/Berlin_GA_Beyond_flyer_2026.pdf  Course Flyer]&lt;/div&gt;</summary>
		<author><name>Serveradmin</name></author>	</entry>

	<entry>
		<id>http://statgen.us/GenAssocStatMeth2026</id>
		<title>GenAssocStatMeth2026</title>
		<link rel="alternate" type="text/html" href="http://statgen.us/GenAssocStatMeth2026"/>
				<updated>2026-01-07T23:11:23Z</updated>
		
		<summary type="html">&lt;p&gt;Serveradmin: Created page with &amp;quot; {{Note|The following information describes the &amp;quot;Genetic Association and Beyond&amp;quot; course scheduled for September 2026.}}  == Genetic Association and Beyond: Statistical Methods...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
{{Note|The following information describes the &amp;quot;Genetic Association and Beyond&amp;quot; course scheduled for September 2026.}}&lt;br /&gt;
&lt;br /&gt;
== Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology ==&lt;br /&gt;
&lt;br /&gt;
'''September 14-18, 2026'''&lt;br /&gt;
'''Max Delbrück Center (MDC) for Molecular Medicine'''&lt;br /&gt;
'''Berlin, Germany'''&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
This new course is being offered in 2026 at the MDC – '''''Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology''''' – that reflects advances in the field of statistical genetics which have occurred in recent years. The course will be held from September 14-18, 2026. The goal of the course is to teach course participants both the theory and application of statistical methods to provide insight into the etiology of human complex traits using a variety of statistical and bioinformatic methods.&lt;br /&gt;
&lt;br /&gt;
=== Course Fees ===&lt;br /&gt;
The cost of the 5-day course is:&lt;br /&gt;
* '''Academic Researchers:''' 975 EUR&lt;br /&gt;
* '''Private (for-profit) Companies:''' 1,950 EUR&lt;br /&gt;
&lt;br /&gt;
The fee covers tuition, the Monday course dinner, and all course-related materials. It does '''not''' cover room or board. Housing is available for participants at nearby hotels.&lt;br /&gt;
&lt;br /&gt;
=== Topics Covered ===&lt;br /&gt;
The course curriculum includes:&lt;br /&gt;
* Association analysis of qualitative and quantitative traits (rare and common variants)&lt;br /&gt;
* Genotype arrays, imputation, exome, and whole genome sequence data&lt;br /&gt;
* Data quality control and linear mixed models (LMM/GLMM)&lt;br /&gt;
* Controlling for population admixture, substructure, and confounders&lt;br /&gt;
* Gene x gene and gene x environmental interactions&lt;br /&gt;
* Pleiotropy, mediation analysis, and Mendelian randomization (MR)&lt;br /&gt;
* Heritability estimation, genetic correlations, and polygenic scores (PGS)&lt;br /&gt;
* Power and sample size estimation&lt;br /&gt;
* Permutation, family-wise error rate (FWER), and false discovery rate (FDR)&lt;br /&gt;
* Meta-analysis and fine mapping&lt;br /&gt;
* Proteomic-wide association studies (PWAS)&lt;br /&gt;
&lt;br /&gt;
=== Computer Exercises ===&lt;br /&gt;
Hands-on exercises will be conducted using the following programs:&lt;br /&gt;
* ANNOVAR, bcftools, Fast-LMM, GCTA, LD clumping, LDSC regression, mediation, PLINK, R, REGENIE, and TwoSampleMR.&lt;br /&gt;
&lt;br /&gt;
=== Instructors ===&lt;br /&gt;
* '''Suzanne Leal''' (Columbia University)&lt;br /&gt;
* '''Michael Nothnagel''' (University of Cologne)&lt;br /&gt;
&lt;br /&gt;
=== Contact and Registration ===&lt;br /&gt;
For additional information, please contact [mailto:suzannemleal@gmail.com Suzanne Leal].&lt;br /&gt;
&lt;br /&gt;
* [https://statgen.us/files/2024/09/schedule_berlin_genetic_association_course_Sept_2024.pdf Course Schedule]&lt;br /&gt;
* [https://statgen.us/files/2024/09/Berlin_Genet_Association_Course_Application_2024.html Application Form]&lt;br /&gt;
* [https://statgen.us/files/2024/09/Berlin_genetic_association_flyer_2024.pdf Course Flyer]&lt;/div&gt;</summary>
		<author><name>Serveradmin</name></author>	</entry>

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