PPT-Privacy-Preserving Data Exploration in Genome-Wide Association Studies

Author : min-jolicoeur | Published Date : 2018-03-15

Aaron Johnson Vitaly Shmatikov Background Main goal discovering genetic basis for disease Requires analyzing large volumes of genetic information from multiple

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Privacy-Preserving Data Exploration in Genome-Wide Association Studies: Transcript

Aaron Johnson Vitaly Shmatikov Background Main goal discovering genetic basis for disease Requires analyzing large volumes of genetic information from multiple individuals Voluntary and mandated sharing of genetic datasets between hospitals biomedical research orgs other data holders. Database Services in the Cloud. Divy. . Agrawal. , . Amr. El . Abbadi. , . Shiyuan. Wang. University of California, Santa Barbara. {. agrawal. , . amr. , . sywang. }@cs.ucsb.edu. ICDE’2013 Tutorial. Presented by Karen . Xu. What you need to know. Basic genetic concepts behind GWAS. Genotyping technologies and common study designs . Statistical concepts for GWAS analysis. Replication, interpretation and follow-up of association results. Surveillance. Aaron . Segal. Yale University. May 11, 2016. Advisor: Joan . Feigenbaum. . “…an unspeakable blasphemy.” - @. Dymaxion. Overview. Introduction – Surveillance and Privacy. Lecture 1: Introduction. Linkage studies. Traditional approach to identifying genes for human traits and diseases was through linkage.. For . Mendelian. diseases (e.g. Huntington’s disease) there is a clear co-segregation of genetic markers with disease within pedigrees.. BIOST 2055. 04/01/2015. Human Genome and Single Nucleotide Polymorphisms (SNPs). 23 chromosome pairs. 3 billion bases. A single nucleotide change between pairs of chromosomes. E.g. . Haplotype1. : AAGG. Hye-Chung Kum. Texas A&M Health Science Center, Dept. of Health Policy & Management. University of North Carolina at Chapel Hill, Dept. of Computer Science . (kum@tamhsc.edu). http://research.tamhsc.edu/pinformatics. Surveillance. Aaron . Segal. Yale University. May 11, 2016. Advisor: Joan . Feigenbaum. . “…an unspeakable blasphemy.” - @. Dymaxion. Overview. Introduction – Surveillance and Privacy. Prepared by: Eng. . Hiba. Ramadan. Supervised by: . Dr. . Rakan. . Razouk. . Outline. Introduction. key directions in the field of privacy-preserving data mining. Privacy-Preserving Data Publishing. Presented By:. Humam. . Nameer. 1. CASE STUDY. Just over three years old, . Clash of Clans. rakes in more than $. 5M. each day and consistently charts in the top three grossing . apps. . It’s the app that new game developers look to for . Case Studies from the Data Linkage Program. Lisa B. Mirel. Board of Scientific Counselors. May 19, 2021. Introduction. Linking data is a powerful mechanism to provide policy relevant information in an efficient way. Bas E. Dutilh. March 4. th. 2013. Protein function. Phenotypic. . function. E.g. . apoptosis. GO: . Biological. . process. Cellular. . function. E.g. . ribosome. GO: . Cellular. component. Molecular. Genomics Lesson 12_1. Ross . Hardison. 4/19/15. 1. Genetic association. The occurrence together in a population, more often than can be readily explained by chance, of two or more traits of which at least one is known to be genetic.. Kesheng Wang, PhD. Department of Biostatistics and Epidemiology. College of Public Health. East Tennessee State University. 2. Outline. Introduction . Alcohol dependence (AD). Genetic study. . Subjects and Methods. 2023 Statistical Genetics workshop . Presenter: Daniel Howrigan. Data group leader . –. Neale Lab (MGH, Broad Institute). Slides adapted from previous workshop presenters:. Lucia . Colodro. Conde (QIMR), Katrina .

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