Changes
From Statistical Genetics Courses
/* Handouts */
Travel stipends of up to $1,000 each are available. Eligibility requirements are: (1) sufficient background and practical experience in statistical analysis of genetic data, and (2) demonstrated financial need. Preference for stipends will be given to pre-doctoral students and postdoctoral researchers. To apply for such a stipend, please attach a letter of request and enclose a letter of reference and proof of student or postdoctoral status.
Knowledge genetic association analysis, genetic epidemiology and/or statistical genetics are screening criteria for selection of participants. Please describe your experience in detail in your application. It is helpful if you also enclose a copy of your CV. We may contact you personally to discuss your application. Although experience of using LINUX is not necessary it is highly beneficial to have basic knowledge of this operating system before the start of the course.
For additional information, please contact [mailto:montagk@rockefeller.edu?subject=Rockefeller Advanced Gene Mapping Course 2020 Katherine Montague]: <br />email: [mailto:montagk@rockefeller.edu montagk@rockefeller.edu] <br />Tel: +1 (212) 327-7979 <br />
For additional information on scientific program contact the course organizer [mailto:suzannemleal@gmail.com?subject=Rockefeller Advanced Gene Mapping Course 2020 Suzanne Leal]: <br />email: [mailto:suzannemleal@gmail.com suzannemleal@gmail.com] or [mailto:sml3@cumc.columbia.edu sml3@cumc.columbia.edu] <br />Tel: +1 (212) 304-7047
==Course Photo==
[[File:142FBA93-B26F-45A4-A0C5-264B812AB558.JPG|thumb|none|]]
====Exercises====* [[Tutorials#FastLMM | Family-based Association using FaST-LMM, PLINK and R]] | [https://github.com/statgenetics/statgen-courses/blob/master/docker/fastlmm-gcta.usdockerfile dockefile] and [https:/files/2020hub.docker.com/01r/Application%20Advanced%20Gene%20Mapping%20Course%202020–%20New%20Yorkstatisticalgenetics/fastlmm-gcta/tags docker image]* [[Tutorials#GCTA|GCTA]] | [https://github.html Click here for application formcom/statgenetics/statgen-courses/blob/master/docker/fastlmm-gcta.dockerfile dockefile] and [https://hub.docker.com/r/statisticalgenetics/fastlmm-gcta/tags docker image]* [[Tutorials#Epistasis_.28PLINK_and_CASSI.29 | Interaction analysis using PLINK and CASSI]] | [https://github.com/statgenetics/statgen-courses/blob/master/docker/epistasis.dockerfile dockerfile] and [https://hub.docker.com/r/statisticalgenetics/epistasis/tags docker image]
===Nancy Cox=======Lectures====* [http://www.statgen.us/files/2020/01/Rockefeller_advanced_course_flyer_2020docs/lectures/LealCourse_Cox_Jan2020.pdf Click here for course flyerIntegrative Approaches in Biobanks: Getting to Biological Mechanisms of Disease] – Please Post and Distribute
===Andrew DeWan=======Lectures====* [http//www.statgen.us/files/2020/01/docs/lectures/Rockefeller_Adv_Course_DeWan_pleiotropy_4.pdf From cross-phenotype associations to pleiotropy in human genetic studies] ====Exercises====* [[Tutorials#Pleiotropy|Pleiotropy]] | [https://github.com/statgenetics/statgen-courses/blob/master/docker/pleiotropy.dockerfile dockefile] and [https://hub.docker.com/r/statisticalgenetics/pleiotropy/tags docker image] ===Suzanne Leal=======Lectures====* [//www.statgen.us/files/2020/01/adv_gene_mapping_schedule_2020docs/lectures/data_quality_control_1.pdf Click here Data Quality Control]* [//www.statgen.us/files/2020/01/docs/lectures/NGS_data_qc.pdf NGS Data Quality Control]* [//www.statgen.us/files/2020/01/docs/lectures/analysis_rare_variants_part_1.pdf Complex Trait Association Analysis of Rare Variants]* [//www.statgen.us/files/2020/01/docs/lectures/power_sample_sizes.pdf Power Analysis for course scheduleSingle and Rare Variant Aggregate Association Analyses]* [//www.statgen.us/files/2020/01/docs/lectures/Analysis_rare_variants_part_2.pdf National Heart Lung and Blood Institute Exome Sequencing Project] ====Exercises====* [[Tutorials#PSEQ|PLINK/SEQ (PSEQ)]] | [https://github.com/statgenetics/statgen-courses/blob/master/docker/pseq.dockerfile dockefile] and [https://hub.docker.com/r/statisticalgenetics/pseq/tags docker image]* [[Tutorials#Variant_Association_Tools|Association Analysis of Sequence Data using Variant Association Tools for Complex Traits]] | [https://github.com/statgenetics/statgen-courses/blob/master/docker/vat.dockerfile dockerfile] and [https://hub.docker.com/r/statisticalgenetics/vat/tags docker image]* [[Tutorials#Cochran_Armitage_Trend_Test|Cochran Armitage Trend Test for GWAS power analysis]]* [[Tutorials#Annotation|ANNOVAR Annotation]] | [https://github.com/statgenetics/statgen-courses/blob/master/docker/annovar.dockerfile dockefile] and [https://hub.docker.com/r/statisticalgenetics/annovar/tags docker image] ===Bogdan Pasanuic=======Lectures====* [//www.statgen.us/files/2020/01/docs/lectures/finemapping_pasaniuc.pdf Statistical fine-mapping of GWAS signals]<!--====Exercises====* finemap--> ===Shamil Sunyaev=======Lectures====* [//www.statgen.us/files/2020/01/docs/lectures/Rockefeller_pop_gen_2020.pdf Population Genetics]* [//www.statgen.us/files/2020/01/docs/lectures/Rockefeller_complex_traits_2020.pdf Evolution, maintenance and allelic architecture of complex traits]* [//www.statgen.us/files/2020/01/docs/lectures/Rockefeller_polygenic_2020.pdf Polygenic Risk Score]* [//www.statgen.us/files/2020/01/docs/lectures/Rockefeller_function_2019.pdf Functional Annotation] ====Exercises====* [[Tutorials#Polygenic_risk_prediction_.28NPS_method.29|Polygenic risk prediction using non-parametric shrinkage]] | [https://github.com/statgenetics/statgen-courses/blob/master/docker/nps.dockerfile dockefile] and [https://hub.docker.com/r/statisticalgenetics/nps/tags docker image]
This course is supported by a grant from the National Institute of Health (NIH) - National Human Genome Research Institute (NHGRI).
