Genomic chips containing large number of single nucleotide polymorphisms (SNPs) have been widely used to study marker-trait associations in dairy cattle. Identification of genes associated with economically relevant traits close to significant SNPs are subsequently identified in genomic databases. The objective of this study was to find significant SNPs and genes that were associated with milk yield (MY), initial yield (IY), peak yield (PY), day to peak (DP), persistency (PS) and age at first calving (AFC) in a Thai Holstein-Other multibreed dairy population. The data set contained 2,409 first-lactation records from 295 dairy farms located in Central, Northern, Western, and Southern Thailand that were collected between 1997 and 2014. Animals were genotyped with 1 of 4 GeneSeek Genomic Profiler BeadChips (9K, 20K, 26K, or 80K). Thus, a set of 7,357 SNPs from autosomes in common among the 4 chips were used in this study. Association between SNPs and traits were analyzed using QXPAK.5 software. The mixed model included herd-year-season, Holstein fraction, age at first calving and SNPs as fixed effects, and animal and residual as random effects. The number of significant SNPs associated with MY, IY, PY, DP, PS and AFC were 649, 491, 627, 477, 527, and 381 at P < 0.05, and 342, 225, 301, 215, 259 and 156 at P < 0.01, respectively. All significant SNPs were checked for their association to 5,320 genes in the NCBI database obtained using Map2NCBI (R package). No gene was related to all traits. However, 8 genes were associated with 5 traits (C3H1orf87, LOC100848063, NR5A2, PCDH15, WWO30, NCAM1, GLI2 and LOC784126) at P < 0.05, and 7 genes were associated with 4 traits at P < 0.01 (NR5A2, KCNIP1, INSC, LOC784126, EEF1E1, ATRNL1 and LOC100294923) at P < 0.01. Results from this research emphasized the need to validate SNP-dairy trait associations under Thai tropical environmental conditions to optimize the benefits of genomic selection.