Comprehensive genomic analyses associate UGT8 variants with musical ability in a Mongolian population

Hansoo Park, Seungbok Lee, Hyun Jin Kim, Young Seok Ju, Jong Yeon Shin, Dongwan Hong, Marcin von Grotthuss, Dong Sung Lee, Changho Park, Jennifer Hayeon Kim, Boram Kim, Yun Joo Yoo, Sung Il Cho, Joohon Sung, Charles Lee, Jong Il Kim, Jeong Sun Seo

Research output: Contribution to journalArticlepeer-review

45 Scopus citations


Background: Musical abilities such as recognising music and singing performance serve as means for communication and are instruments in sexual selection. Specific regions of the brain have been found to be activated by musical stimuli, but these have rarely been extended to the discovery of genes and molecules associated with musical ability. Methods: A total of 1008 individuals from 73 families were enrolled and a pitch-production accuracy test was applied to determine musical ability. To identify genetic loci and variants that contribute to musical ability, we conducted family-based linkage and association analyses, and incorporated the results with data from exome sequencing and array comparative genomic hybridisation analyses. Results: We found significant evidence of linkage at 4q23 with the nearest marker D4S2986 (LOD=3.1), whose supporting interval overlaps a previous study in Finnish families, and identified an intergenic single nucleotide polymorphism (SNP) (rs1251078, p=8.4×10-17) near UGT8, a gene highly expressed in the central nervous system and known to act in brain organisation. In addition, a non-synonymous SNP in UGT8 was revealed to be highly associated with musical ability (rs4148254, p=8.0×10-17), and a 6.2 kb copy number loss near UGT8 showed a plausible association with musical ability (p=2.9×10-6). Conclusions: This study provides new insight into the genetics of musical ability, exemplifying a methodology to assign functional significance to synonymous and noncoding alleles by integrating multiple experimental methods.

Original languageEnglish
Pages (from-to)747-752
Number of pages6
JournalJournal of Medical Genetics
Issue number12
StatePublished - Dec 2012


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