PPT-Introduction to genetic association studies in

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 KwaZuluNatal Durban South Africa. The Candidate G Jennifer M. Kwon, M.D., and Alison M. Goate, D.Phil.Alcoholism has a significant genetic basis, and identifying genes that confer a susceptibility toalcoholism will aid clinicians in p Virginia Willour, Ph.D.. Suicidal Behavior. Suicidal behavior is a complex phenotype that includes both attempted and completed suicide. Family, twin, and adoption studies provide strong evidence for a heritable component to suicidal behavior. Standard definition of confounding. A confounder is . Associated with the exposure in the study base. Associated with disease in the unexposed . Not in the causal pathway. Criteria for confounding in genetic association studies. 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. 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.. Department of Nephrology, Hypertension, Dialysis and Transplantation. ESH Excellence . Center. Meeting of the Balkan . Excellent Centers. “. Adiponectin and hypertension: nothing is simple. Data from Croatian Rural . Professor . Department of . Epidemiology and. Genetic Epidemiology Research Institute. University . of . California, Irvine. . Irvine, CA. kedward1@uci.edu. What is old is new. Rare Variants. This session. Nelson Freimer. UCLA Center for Neurobehavioral Genetics . What makes a genetic association significant?. Outline. The problem of achieving validated findings in psychiatric genetics. Approaches to genetic mapping and statistical significance. 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. Clement Ma. Sequence Analysis Workshop. May 21, 2015. Lecture slides adapted from Hyun Min Kang and . Gonçalo. . Abecasis. Outline. Introduction. Data overview. Analysis of common variants. Analysis of low-frequency variants. Q2. Is there such a thing as addictive personality? . Q3. What does SNP stand for? . Q4. In terms of identifying addiction risk genes, have we had any success? . . Do drugs “hijack the brain” robbing the user of their free will? . 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 .