Sung-Chur Sim, The Ohio State University; Heather L. Merk, The Ohio State University
The pdf at the bottom of the page (Downstream_SNP_Analysis) is a copy of Dr. Sim's presentation. The accompanying zip files (Downstream_Supplemental_Files) at the bottom of the page include a sample data set, an Excel file with best K analysis, and SAS code for association analysis that incorporates the Q matrix.
In the first video, Dr. Sung-Chur Sim, The Ohio State University, outlines the utility of MSA, GGT, and STRUCTURE software for downstream analysis with single nucelotide polymorphism (SNP) markers. Dr. Sim also explains where and how to download the software and how to format input data.
In the second video, Dr. Sim demonstrates the use of STRUCTURE for association mapping of bacterial spot resistance in tomato. Dr. Sim introduces association analysis models and emphasizes the use of the Q matrix to correct for population structure in association mapping. In addition, Dr. Sim explains the detailed steps in STRUCTURE to infer the best "K" (number of populations), which is required to obtain the Q matrix.
Development of this lesson was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.