This lecture note on “Statistical analysis of genetic association studies among unrelated individuals” was prepared under my lecture series on “Statistical Analysis of Molecular Data Using Software Packages”. This lecture was delivered to trainees attending 14 day training on “Molecular biology tools and its application in Agriculture and Allied Sciences” organized by CST, UP Centre of Excellence in Agriculture Biotechnology in Collaboration with DBT funded Bioinformatics Infrastructure Facility, College of Biotechnology, SVPUAT during 1-14th December 2021. I have tried to explain how molecular data of a population can be analyzed using SPSS and HW_Test software packages. Overall, population association studies in which unrelated individuals for different economic traits are typed at a number of Single Nucleotide Polymorphism (SNP) markers excluding family-based association studies, admixture mapping or linkage studies have been introduced and explained. In addition to the previous first edition Chi Square test for finding relation between various genotypes pertaining to each gene and qualitative trait had been included in this second edition. Some structural reframing of text for better understanding and rectification of some mistakes reported by users have also been undertaken in this second edition. Use of diagrams, explanatory boxes, examples and tables have deliberately been used throughout the notes to create an interest among the trainees. Once through with this lecture note readers will be able to understand the basics and application of statistical analysis of genetic association studies among unrelated individuals using statistical packages. I had tried my level best to simplify the concept in easy to understand language. Further constructive suggestions to improve this lecture notes are always welcome from readers on my email and whatsapp.
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