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        Comprehensive genomic analyses associate <i>UGT8</i> variants with musical ability in a Mongolian population

        Park, Hansoo,Lee, Seungbok,Kim, Hyun-Jin,Ju, Young Seok,Shin, Jong-Yeon,Hong, Dongwan,von Grotthuss, Marcin,Lee, Dong-Sung,Park, Changho,Kim, Jennifer Hayeon,Kim, Boram,Yoo, Yun Joo,Cho, Sung-Il,Sung, BMJ Publishing Group 2012 Journal of medical genetics Vol.49 No.12

        <P><B>Background</B></P><P>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.</P><P><B>Methods</B></P><P>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.</P><P><B>Results</B></P><P>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<SUP>−17</SUP>) near <I>UGT8</I>, a gene highly expressed in the central nervous system and known to act in brain organisation. In addition, a non-synonymous SNP in <I>UGT8</I> was revealed to be highly associated with musical ability (rs4148254, p=8.0×10<SUP>−17</SUP>), and a 6.2 kb copy number loss near <I>UGT8</I> showed a plausible association with musical ability (p=2.9×10<SUP>−6</SUP>).</P><P><B>Conclusions</B></P><P>This study provides new insight into the genetics of musical ability, exemplifying a methodology to assign functional significance to synonymous and non-coding alleles by integrating multiple experimental methods.</P>

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