Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies

Philipp E. Bayer, Mitchell Gill, Monica F. Danilevicz, David Edwards

Research output: Chapter in Book/Conference paperChapterpeer-review

Abstract

Single-nucleotide polymorphisms (SNPs) have become the primary type of molecular genetic marker used in a diverse range of genetic and genomic studies. SNPs can be used to identify genomic regions linked to traits such as disease in genome-wide association studies, to understand population structure and diversity, or to understand mechanisms of genome evolution. One of the first steps of any SNP-based workflow, following SNP discovery, is quality control of SNP data. The protocol described here details how to perform quality control on SNP data to minimise errors in downstream analysis.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press
Pages153-159
Number of pages7
Volume2481
DOIs
Publication statusPublished - 2022

Publication series

NameMethods in Molecular Biology
Volume2481
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

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