PPT-Genome-wide Association Studies

Genomics Lesson 121 Ross Hardison 41915 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. Simonis Standard Cloth Cutting Guide for best yield use 66 wide cloth for 7 and 8 Std tables All rail cuts are 6 width No rails off the ends A u t h e n t i c A c c u r a t e A l w a y s Iwan Simonis Inc wwwsimonisclothcom 1514 St Paul Avenue Gurne Denovo genome Denovo genome outline outline novogenome from contigs from assembled contigs annotation Denovo genome Denovo genome Reads contig Gene Gene Annotation Gene Annotation Forgene Mayo/UIUC Summer . C. ourse in Computational Biology. Session Outline. Genome sequencing. Schematic overview of genome assembly. (a) DNA is collected from the biological sample and sequenced. (b) The output from the sequencer consists of many billions of short, unordered DNA fragments from random positions in the genome. (c) The short fragments are compared with each other to discover how they overlap. (d) The overlap relationships are captured in a large assembly graph shown as nodes representing . The Plot. Deepak . Purushotham. Hamid Reza . Hassanzadeh. Haozheng. . Tian. Juliette . Zerick. Lavanya. . Rishishwar. Piyush. . Ranjan. Lu Wang. The Outline. The Need & The Requirement. The Options. (as told by Michael Lynch). Genome size and complexity varies across the tree of life. Lynch 2007. Some Big Questions. What is the relationship between genomic and organismal size/complexity?. Are genome size changes adaptive, or passively acquired?. Basic Biology: DNA. Genetic information is stored in . deoxyribonucleic acid (DNA) . molecules.. A single DNA molecule is a sequence of . nucleotides. adenine (. A. ). cytosine (. C. ). guanine (. G. 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. Mayo/UIUC Summer . C. ourse in Computational Biology. Session Outline. Genome sequencing. Schematic overview of genome assembly. (a) DNA is collected from the biological sample and sequenced. (b) The output from the sequencer consists of many billions of short, unordered DNA fragments from random positions in the genome. (c) The short fragments are compared with each other to discover how they overlap. (d) The overlap relationships are captured in a large assembly graph shown as nodes representing . 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.. 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. 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. 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. Africa. Dr Kirk Rockett. Wellcome. Trust Advanced Courses; Genomic Epidemiology in Africa. , . 21. st. – 26. th. June 2015. Africa . Centre for Health and Population Studies, University of KwaZulu-Natal, Durban, South Africa. emm1. invasive Group A . Streptococcus. isolated from Belgian patients during 1994˗2013 . J. Coppens. 1. , . B. B. . Xavier,. . J. Sabirova. 1. , C. Lammens. 1. , K. Loens. 2. , S. Malhotra-Kumar.