PPT-Analysis of genome-wide association studies

Author : myesha-ticknor | Published Date : 2017-07-31

Lecture 1 Introduction Linkage studies Traditional approach to identifying genes for human traits and diseases was through linkage For Mendelian diseases eg Huntingtons

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Analysis of genome-wide association studies: Transcript

Lecture 1 Introduction Linkage studies Traditional approach to identifying genes for human traits and diseases was through linkage For Mendelian diseases eg Huntingtons disease there is a clear cosegregation of genetic markers with disease within pedigrees. 50 years of Wide Field Studies, La Serena, 5/2013. 1. Robert Blum. Outline. History. The Galactic Bulge. Cosmology. Magellanic Clouds. 50 years of Wide Field Studies, La Serena, 5/2013. 2. Preliminaries. 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. Genome: the total number of genes in an individual.. Human Genome- approx. 20,000 genes on the 46 human chromosomes.. Human Genome Project (HGP). Ongoing effort to completely map and sequence our genome.. Younghun. Han. Department of Epidemiology. UT MD Anderson Cancer Center. Outline. Introduction. GeneABEL. : . GWAA.data. class. Importing data to . GenABEL. Genetic data QC. GWA association analysis. Isabella. Roland. Sarahi. Veronica. General protocol. Isolation of . vibrios. . DNA extraction. Illumina. sequencing. Assembly and annotation. Quality of data. . Year . HS0A . 2012. HS0B . 2012. HS0C . SNP . Chip Data For Genome-Wide. A. ssociation Studies. Stata Conference London 2011. September 16, 2011. John Charles “Chuck” Huber Jr, PhD. Associate Professor of Biostatistics. Department of Epidemiology and Biostatistics. Alex Rodriguez * Dinanath Sulakhe Elizabeth Marland arodri7@mcs.anl.gov sulakhe@mcs.anl.gov marland@mcs.anl. Veronika Nefedova Gong Xin Yu Natalia Maltsev * nefedova@mcs.anl.gov gxyu@mcs.anl.g Erzurumluoglu. , Liu, and Jackson . et al. , 2019. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. Genetics of Smokers: . 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.. Loren Hauser. Miriam Land. Yun-Juan Chang. Frank Larimer. Doug Hyatt. Cynthia Jeffries. NEB Educational Support. 2. http://www.neb.com/nebecomm/course_support.asp?. Why study Computational Biology. . T.H. Beaty. FaceBase. Meeting. June 5, 2010. Pittsburgh PA. A bit of background. Both cleft lip with/without cleft palate (CL/P) & cleft palate (CP) show strong familial aggregation. Twin & family studies show clear evidence of genetic control. http://ncgas.org. . Carrie . Ganote. Ram . Podicheti. Le-Shin Wu. Tom . Doak. Quality Control and Assessment of. RNA-. Seq. Data. National Center for Genome Analysis Support: . http://ncgas.org. . 2017. ggibson.gt@gmail.com. http://www.cig.gatech.edu. Outline. General . overview of association . studies. Sample Results. Three steps to GWAS:. Primary scan. Replication. Fine mapping. Individual Site Score. 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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