Multisite haplotype on cattle chromosome 3 is associated with quantitative trait locus effects on lactation traits. Physiol Genomics 43: 1185-1197, 2011. First published September 6, 2011 doi:10.1152/physiolgenomics.00253.2010.-The goal of this study was to identify candidate genes and DNA polymorphisms for quantitative trait loci (QTL) affecting milk yield (MY), fat yield (FY), and protein yield (PY) previously mapped to bovine chromosome 3 (BTA3). To accomplish this, 373 half-siblings sired by three bulls previously shown to be segregating for lactation trait QTL, and 263 additional sires in the U.S. Dairy Bull DNA Repository (DBDR) were genotyped for 2,500 SNPs within a 16.3 Mbp QTL critical region on BTA3. Targeted resequencing of ϳ1.8 Mbp within the QTL critical region of one of the QTL heterozygous sires identified additional polymorphisms useful for association studies. Twentythree single nucleotide polymorphisms (SNPs) within a fine-mapped region were associated with effects on breeding values for MY, FY, or PY in DBDR sires, of which five SNPs were in strong linkage disequilibrium in the population. This multisite haplotype included SNPs located within exons or promoters of four tightly linked genes: RAP1A, ADORA3, OVGP1, and C3H1orf88. An SNP within RAP1A showed strong evidence of a recent selective sweep based on integrated haplotype score and was also associated with breeding value for PY. Because of its known function in alveolar lumen formation in the mammary gland, RAP1A is thus a strong candidate gene for QTL effects on lactation traits. Our results provide a detailed assessment of a QTL region that will be a useful guide for complex traits analysis in humans and other noninbred species.genes; single nucleotide polymorphisms; RAP1A; milk ONE OF THE GRAND CHALLENGES in modern genetics is to identify the molecular genetic basis for complex traits (20). In cattle, the low-to-moderate heritability of quantitative traits under selection and limited sizes of resource populations are largely responsible for mapping most quantitative trait loci (QTL) to large intervals of Ͼ10 cM (http://www.genome.iastate.edu/ cgi-bin/QTLdb/BT/index). The poor genomic resolution of mapped cattle QTL makes identification of the genes and polymorphisms underlying their effects a difficult and expensive endeavor. Despite these limitations, two QTL with large effects on milk, milk fat, and protein yields were resolved at the gene level with high probability (12, 23), thereby demonstrating the strength of available cattle resource populations and genomic tools for complex traits analysis. These findings have been rapidly implemented by the dairy industry for genetic improvement in milk production traits (24). Moreover, these studies have illuminated our general understanding of the genetic control of complex traits and have provided two new model systems for lactation biology. Therefore, genetic dissection of QTL affecting lactation traits is important both as a biomedical model system and for applications in animal breeding...