Practical issues in large scale Genome Wide Association Studies.

Chris Brown, Mark Donoghoe, Val Gebski, Ian Marschner & Anthony Keech
Genome wide association studies (GWAS) assess a large number of single nucleotide polymorphisms (SNPs, mutation of length 1 in DNA) across the entire genome to identify associations with clinical endpoints (e.g. survival). The technology to perform GWAS has become less expensive and faster enabling larger studies to be conducted.
Large GWAS can be effectively carried out with currently accessible computing. Logistical issues including data transfer, batch size, sample QC which must be addressed.
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