Variants in <i><scp>SELL</scp></i>,<i><scp>MRPS</scp>36P2</i>,<i><scp>TP</scp>63</i>,<i><scp>DDB</scp>2</i>,<i><scp>CACNA</scp>1H</i>,<i><scp>ADAM</scp>19</i>,<i><scp>GNAI</scp>1</i>,<i><scp>CDH</scp>13</i> and <i><scp>GABRG</scp>2</i> interact to confer risk of acne in Chinese population

<jats:title>Abstract</jats:title><jats:p>Acne vulgaris is a common skin disease characterized by chronic inflammation of the pilosebaceous unit resulting from androgen‐induced increased sebum production, altered keratinization, inflammation and bacterial colonization of hair follicles by propionibacterium acnes. Our previous genome‐wide association study on acne has identified two new susceptibility loci. To search for potential gene–gene interactions and investigate the best‐fit association models for the single nucleotide polymorphisms (<jats:styled-content style="fixed-case">SNP</jats:styled-content>) from these interacting genes, we implemented logistic regression analysis in the combined sample of 2916 cases with severe acne and 4716 controls. The most significant association evidence was observed under an additive model for rs6896064 and under a dominant model the rest of these <jats:styled-content style="fixed-case">SNP</jats:styled-content>. Significant interactions between these <jats:styled-content style="fixed-case">SNP</jats:styled-content> were observed in this study: the <jats:italic><jats:styled-content style="fixed-case">SELL</jats:styled-content> </jats:italic>× <jats:italic><jats:styled-content style="fixed-case">MRPS</jats:styled-content>36P2</jats:italic> (<jats:italic>P</jats:italic><jats:sub>adjusted</jats:sub> = 4.15 × 10<jats:sup>−10</jats:sup>), <jats:italic><jats:styled-content style="fixed-case">TP</jats:styled-content>63 </jats:italic>×<jats:italic> <jats:styled-content style="fixed-case">DDB</jats:styled-content>2</jats:italic> (<jats:italic>P</jats:italic><jats:sub>adjusted</jats:sub> = 7.62 × 10<jats:sup>−08</jats:sup>), <jats:italic><jats:styled-content style="fixed-case">DDB</jats:styled-content>2 </jats:italic>×<jats:italic> <jats:styled-content style="fixed-case">CACNA</jats:styled-content>1H</jats:italic> (<jats:italic>P</jats:italic><jats:sub>adjusted</jats:sub> = 1.89 × 10<jats:sup>−07</jats:sup>), <jats:italic><jats:styled-content style="fixed-case">ADAM</jats:styled-content>19 </jats:italic>×<jats:italic> <jats:styled-content style="fixed-case">GNAI</jats:styled-content>1 </jats:italic>×<jats:italic> <jats:styled-content style="fixed-case">CDH</jats:styled-content>13</jats:italic> (<jats:italic>P</jats:italic><jats:sub>adjusted</jats:sub> = 1.22 × 10<jats:sup>−04</jats:sup>) and <jats:italic><jats:styled-content style="fixed-case">ADAM</jats:styled-content>19 </jats:italic>×<jats:italic> <jats:styled-content style="fixed-case">GABRG</jats:styled-content>2</jats:italic> × <jats:italic><jats:styled-content style="fixed-case">GNAI</jats:styled-content>2 </jats:italic>×<jats:italic> <jats:styled-content style="fixed-case">CDH</jats:styled-content>13</jats:italic> (<jats:italic>P</jats:italic><jats:sub>ad justed</jats:sub> = 6.33 × 10<jats:sup>−05</jats:sup>). These results may contribute to our understanding of acne genetic etiology and account for the additional risk of certain patients.</jats:p>