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Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci

Despite the large toll of opioid use disorder (OUD), genome-wide association studies (GWAS) of OUD to date have yielded few susceptibility loci. We performed a large-scale GWAS of OUD in individuals of European (EUR) and African (AFR) ancestry, optimizing genetic informativeness by performing MTAG (...

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Autores principales: Deak, Joseph D., Zhou, Hang, Galimberti, Marco, Levey, Daniel F., Wendt, Frank R., Sanchez-Roige, Sandra, Hatoum, Alexander S., Johnson, Emma C., Nunez, Yaira Z., Demontis, Ditte, Børglum, Anders D., Rajagopal, Veera M., Jennings, Mariela V., Kember, Rachel L., Justice, Amy C., Edenberg, Howard J., Agrawal, Arpana, Polimanti, Renato, Kranzler, Henry R., Gelernter, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718667/
https://www.ncbi.nlm.nih.gov/pubmed/35879402
http://dx.doi.org/10.1038/s41380-022-01709-1
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author Deak, Joseph D.
Zhou, Hang
Galimberti, Marco
Levey, Daniel F.
Wendt, Frank R.
Sanchez-Roige, Sandra
Hatoum, Alexander S.
Johnson, Emma C.
Nunez, Yaira Z.
Demontis, Ditte
Børglum, Anders D.
Rajagopal, Veera M.
Jennings, Mariela V.
Kember, Rachel L.
Justice, Amy C.
Edenberg, Howard J.
Agrawal, Arpana
Polimanti, Renato
Kranzler, Henry R.
Gelernter, Joel
author_facet Deak, Joseph D.
Zhou, Hang
Galimberti, Marco
Levey, Daniel F.
Wendt, Frank R.
Sanchez-Roige, Sandra
Hatoum, Alexander S.
Johnson, Emma C.
Nunez, Yaira Z.
Demontis, Ditte
Børglum, Anders D.
Rajagopal, Veera M.
Jennings, Mariela V.
Kember, Rachel L.
Justice, Amy C.
Edenberg, Howard J.
Agrawal, Arpana
Polimanti, Renato
Kranzler, Henry R.
Gelernter, Joel
author_sort Deak, Joseph D.
collection PubMed
description Despite the large toll of opioid use disorder (OUD), genome-wide association studies (GWAS) of OUD to date have yielded few susceptibility loci. We performed a large-scale GWAS of OUD in individuals of European (EUR) and African (AFR) ancestry, optimizing genetic informativeness by performing MTAG (Multi-trait analysis of GWAS) with genetically correlated substance use disorders (SUDs). Meta-analysis included seven cohorts: the Million Veteran Program, Psychiatric Genomics Consortium, iPSYCH, FinnGen, Partners Biobank, BioVU, and Yale-Penn 3, resulting in a total N = 639,063 (N(cases) = 20,686;N(effective) = 77,026) across ancestries. OUD cases were defined as having a lifetime OUD diagnosis, and controls as anyone not known to meet OUD criteria. We estimated SNP-heritability (h(2)(SNP)) and genetic correlations (r(g)). Based on genetic correlation, we performed MTAG on OUD, alcohol use disorder (AUD), and cannabis use disorder (CanUD). A leave-one-out polygenic risk score (PRS) analysis was performed to compare OUD and OUD-MTAG PRS as predictors of OUD case status in Yale-Penn 3. The EUR meta-analysis identified three genome-wide significant (GWS; p ≤ 5 × 10(−)(8)) lead SNPs—one at FURIN (rs11372849; p = 9.54 × 10(−)(10)) and two OPRM1 variants (rs1799971, p = 4.92 × 10(−)(09); rs79704991, p = 1.11 × 10(−)(08); r(2) = 0.02). Rs1799971 (p = 4.91 × 10(−)(08)) and another OPRM1 variant (rs9478500; p = 1.95 × 10(−)(08); r(2) = 0.03) were identified in the cross-ancestry meta-analysis. Estimated h(2)(SNP) was 12.75%, with strong r(g) with CanUD (r(g) = 0.82; p = 1.14 × 10(−)(47)) and AUD (r(g) = 0.77; p = 6.36 × 10(−)(78)). The OUD-MTAG resulted in a GWAS N(equivalent) = 128,748 and 18 independent GWS loci, some mapping to genes or gene regions that have previously been associated with psychiatric or addiction phenotypes. The OUD-MTAG PRS accounted for 3.81% of OUD variance (beta = 0.61;s.e. = 0.066; p = 2.00 × 10(−)(16)) compared to 2.41% (beta = 0.45; s.e. = 0.058; p = 2.90 × 10(−)(13)) explained by the OUD PRS. The current study identified OUD variant associations at OPRM1, single variant associations with FURIN, and 18 GWS associations in the OUD-MTAG. The genetic architecture of OUD is likely influenced by both OUD-specific loci and loci shared across SUDs.
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spelling pubmed-97186672022-12-04 Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci Deak, Joseph D. Zhou, Hang Galimberti, Marco Levey, Daniel F. Wendt, Frank R. Sanchez-Roige, Sandra Hatoum, Alexander S. Johnson, Emma C. Nunez, Yaira Z. Demontis, Ditte Børglum, Anders D. Rajagopal, Veera M. Jennings, Mariela V. Kember, Rachel L. Justice, Amy C. Edenberg, Howard J. Agrawal, Arpana Polimanti, Renato Kranzler, Henry R. Gelernter, Joel Mol Psychiatry Immediate Communication Despite the large toll of opioid use disorder (OUD), genome-wide association studies (GWAS) of OUD to date have yielded few susceptibility loci. We performed a large-scale GWAS of OUD in individuals of European (EUR) and African (AFR) ancestry, optimizing genetic informativeness by performing MTAG (Multi-trait analysis of GWAS) with genetically correlated substance use disorders (SUDs). Meta-analysis included seven cohorts: the Million Veteran Program, Psychiatric Genomics Consortium, iPSYCH, FinnGen, Partners Biobank, BioVU, and Yale-Penn 3, resulting in a total N = 639,063 (N(cases) = 20,686;N(effective) = 77,026) across ancestries. OUD cases were defined as having a lifetime OUD diagnosis, and controls as anyone not known to meet OUD criteria. We estimated SNP-heritability (h(2)(SNP)) and genetic correlations (r(g)). Based on genetic correlation, we performed MTAG on OUD, alcohol use disorder (AUD), and cannabis use disorder (CanUD). A leave-one-out polygenic risk score (PRS) analysis was performed to compare OUD and OUD-MTAG PRS as predictors of OUD case status in Yale-Penn 3. The EUR meta-analysis identified three genome-wide significant (GWS; p ≤ 5 × 10(−)(8)) lead SNPs—one at FURIN (rs11372849; p = 9.54 × 10(−)(10)) and two OPRM1 variants (rs1799971, p = 4.92 × 10(−)(09); rs79704991, p = 1.11 × 10(−)(08); r(2) = 0.02). Rs1799971 (p = 4.91 × 10(−)(08)) and another OPRM1 variant (rs9478500; p = 1.95 × 10(−)(08); r(2) = 0.03) were identified in the cross-ancestry meta-analysis. Estimated h(2)(SNP) was 12.75%, with strong r(g) with CanUD (r(g) = 0.82; p = 1.14 × 10(−)(47)) and AUD (r(g) = 0.77; p = 6.36 × 10(−)(78)). The OUD-MTAG resulted in a GWAS N(equivalent) = 128,748 and 18 independent GWS loci, some mapping to genes or gene regions that have previously been associated with psychiatric or addiction phenotypes. The OUD-MTAG PRS accounted for 3.81% of OUD variance (beta = 0.61;s.e. = 0.066; p = 2.00 × 10(−)(16)) compared to 2.41% (beta = 0.45; s.e. = 0.058; p = 2.90 × 10(−)(13)) explained by the OUD PRS. The current study identified OUD variant associations at OPRM1, single variant associations with FURIN, and 18 GWS associations in the OUD-MTAG. The genetic architecture of OUD is likely influenced by both OUD-specific loci and loci shared across SUDs. Nature Publishing Group UK 2022-07-25 2022 /pmc/articles/PMC9718667/ /pubmed/35879402 http://dx.doi.org/10.1038/s41380-022-01709-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Immediate Communication
Deak, Joseph D.
Zhou, Hang
Galimberti, Marco
Levey, Daniel F.
Wendt, Frank R.
Sanchez-Roige, Sandra
Hatoum, Alexander S.
Johnson, Emma C.
Nunez, Yaira Z.
Demontis, Ditte
Børglum, Anders D.
Rajagopal, Veera M.
Jennings, Mariela V.
Kember, Rachel L.
Justice, Amy C.
Edenberg, Howard J.
Agrawal, Arpana
Polimanti, Renato
Kranzler, Henry R.
Gelernter, Joel
Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
title Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
title_full Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
title_fullStr Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
title_full_unstemmed Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
title_short Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
title_sort genome-wide association study in individuals of european and african ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
topic Immediate Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718667/
https://www.ncbi.nlm.nih.gov/pubmed/35879402
http://dx.doi.org/10.1038/s41380-022-01709-1
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