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In mammalian genetics, many quantitative traits, such as blood pressure, are thought to be influenced by specific genes, but are also affected by environmental factors, making the associated genes difficult to identify and locate from genetic data alone. In particular, the application of classical statistical methods to single nucleotide polymorphism (SNP) data collected in genome-wide association studies has been especially challenging. We propose a coalescent approach to search for SNPsdoi:10.1186/1471-2105-14-200 pmid:23786262 pmcid:PMC3706278 fatcat:nzgk3pcye5ffvi5g2lgzasdqyy