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DOI 10.1101/2025.08.29.25334705

Медицинская библиотека · medRxiv : the preprint server for health sciences · 2025

DNA Methylation Signatures of Alcohol Use Disorder - A large-scale Meta-Analysis in the Psychiatric Genomics Consortium.

Zillich Lea, D'Augello Sofia, Avetyan Diana, Delgado Graciela E, Gizer Ian R, Jung Jeesun, Katrinli Seyma, Kleber Marcus E, Merrill Natalie, Moissl Angela P, Núñez-Rios Diana L, Otto Jacqueline M, Zillich Eric, Friedel Eva, Hancock Dana B, Johnson Eric O, Martínez-Magaña José Jaime, Nagamatsu Sheila T, Sosnowski David W, White Julie D, Aberg Karolina A, Copeland William E, Diazgranados Nancy, Fani Negar, Gelernter Joel, Goldman David, Foo Jerome C, Kranzler Henry R, Levey Daniel F, März Winfried, Penninx Brenda W J H, Polimanti Renato, Powers Abigail, Smith Alicia K, Spanagel Rainer, van den Oord Edwin J C G, Wilhelmsen Kirk C, Witt Stephanie H, Domschke Katharina, Schiele Miriam A, Maher Brion S, Montalvo Ortiz Janitza L, Clark Shaunna L, Lohoff Falk W

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Аннотация

Despite extensive research on DNA methylation (DNAm) signatures associated with alcohol use disorder (AUD), findings are often inconsistent and not replicated. We conducted a large-scale meta-analysis of epigenome-wide association studies (EWAS) to identify reliable, reproducible epigenetic markers of AUD. Seven cohorts, comprising 3,775 individuals (1,325 with AUD), contributed to this meta-analysis within the framework of the Psychiatric Genomics Consortium Substance Use Disorders Epigenetics Working Group. Downstream analyses included the identification of differentially methylated regions, overrepresentation analyses, and the construction of a methylation risk score (MRS). We identified 118 significant CpG sites associated with AUD, with the strongest association found at cg24889777 ( p =5.12×10 -17 ) in the long non-coding RNA LOC100505942. CpG sites were enriched for pathways related to GTPase signaling and transmembrane transporter activity, as well as EWAS signals of alcohol consumption. The MRS explained 10.44% of variance in heavy drinking in an independent cohort (N=2,534, AUC=0.657). This large-scale meta-analysis offers key insights into the epigenetic mechanisms of AUD and lays the groundwork for future research on methylation risk scores for the diagnosis, prognosis, and treatment in AUD.

Для цитирования: Zillich Lea, D'Augello Sofia, Avetyan Diana, Delgado Graciela E, Gizer Ian R, Jung Jeesun, Katrinli Seyma, Kleber Marcus E, Merrill Natalie, Moissl Angela P, Núñez-Rios Diana L, Otto Jacqueline M, Zillich Eric, Friedel Eva, Hancock Dana B, Johnson Eric O, Martínez-Magaña José Jaime, Nagamatsu Sheila T, Sosnowski David W, White Julie D, Aberg Karolina A, Copeland William E, Diazgranados Nancy, Fani Negar, Gelernter Joel, Goldman David, Foo Jerome C, Kranzler Henry R, Levey Daniel F, März Winfried, Penninx Brenda W J H, Polimanti Renato, Powers Abigail, Smith Alicia K, Spanagel Rainer, van den Oord Edwin J C G, Wilhelmsen Kirk C, Witt Stephanie H, Domschke Katharina, Schiele Miriam A, Maher Brion S, Montalvo Ortiz Janitza L, Clark Shaunna L, Lohoff Falk W. DNA Methylation Signatures of Alcohol Use Disorder - A large-scale Meta-Analysis in the Psychiatric Genomics Consortium.. medRxiv : the preprint server for health sciences. 2025. DOI: 10.1101/2025.08.29.25334705.
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