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Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction
We use polygenic risk scores (PRSs) for schizophrenia (SCZ) and bipolar disorder (BPD) to predict smoking, and addiction to nicotine, alcohol or drugs in individuals not diagnosed with psychotic disorders. Using PRSs for 144 609 subjects, including 10 036 individuals admitted for in‐patient addictio...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811785/ https://www.ncbi.nlm.nih.gov/pubmed/28231610 http://dx.doi.org/10.1111/adb.12496 |
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author | Reginsson, Gunnar W. Ingason, Andres Euesden, Jack Bjornsdottir, Gyda Olafsson, Sigurgeir Sigurdsson, Engilbert Oskarsson, Hogni Tyrfingsson, Thorarinn Runarsdottir, Valgerdur Hansdottir, Ingunn Steinberg, Stacy Stefansson, Hreinn Gudbjartsson, Daniel F. Thorgeirsson, Thorgeir E. Stefansson, Kari |
author_facet | Reginsson, Gunnar W. Ingason, Andres Euesden, Jack Bjornsdottir, Gyda Olafsson, Sigurgeir Sigurdsson, Engilbert Oskarsson, Hogni Tyrfingsson, Thorarinn Runarsdottir, Valgerdur Hansdottir, Ingunn Steinberg, Stacy Stefansson, Hreinn Gudbjartsson, Daniel F. Thorgeirsson, Thorgeir E. Stefansson, Kari |
author_sort | Reginsson, Gunnar W. |
collection | PubMed |
description | We use polygenic risk scores (PRSs) for schizophrenia (SCZ) and bipolar disorder (BPD) to predict smoking, and addiction to nicotine, alcohol or drugs in individuals not diagnosed with psychotic disorders. Using PRSs for 144 609 subjects, including 10 036 individuals admitted for in‐patient addiction treatment and 35 754 smokers, we find that diagnoses of various substance use disorders and smoking associate strongly with PRSs for SCZ (P = 5.3 × 10(−50)–1.4 × 10(−6)) and BPD (P = 1.7 × 10(−9)–1.9 × 10(−3)), showing shared genetic etiology between psychosis and addiction. Using standardized scores for SCZ and BPD scaled to a unit increase doubling the risk of the corresponding disorder, the odds ratios for alcohol and substance use disorders range from 1.19 to 1.31 for the SCZ‐PRS, and from 1.07 to 1.29 for the BPD‐PRS. Furthermore, we show that as regular smoking becomes more stigmatized and less prevalent, these biological risk factors gain importance as determinants of the behavior. |
format | Online Article Text |
id | pubmed-5811785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58117852018-02-16 Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction Reginsson, Gunnar W. Ingason, Andres Euesden, Jack Bjornsdottir, Gyda Olafsson, Sigurgeir Sigurdsson, Engilbert Oskarsson, Hogni Tyrfingsson, Thorarinn Runarsdottir, Valgerdur Hansdottir, Ingunn Steinberg, Stacy Stefansson, Hreinn Gudbjartsson, Daniel F. Thorgeirsson, Thorgeir E. Stefansson, Kari Addict Biol Genetic Study We use polygenic risk scores (PRSs) for schizophrenia (SCZ) and bipolar disorder (BPD) to predict smoking, and addiction to nicotine, alcohol or drugs in individuals not diagnosed with psychotic disorders. Using PRSs for 144 609 subjects, including 10 036 individuals admitted for in‐patient addiction treatment and 35 754 smokers, we find that diagnoses of various substance use disorders and smoking associate strongly with PRSs for SCZ (P = 5.3 × 10(−50)–1.4 × 10(−6)) and BPD (P = 1.7 × 10(−9)–1.9 × 10(−3)), showing shared genetic etiology between psychosis and addiction. Using standardized scores for SCZ and BPD scaled to a unit increase doubling the risk of the corresponding disorder, the odds ratios for alcohol and substance use disorders range from 1.19 to 1.31 for the SCZ‐PRS, and from 1.07 to 1.29 for the BPD‐PRS. Furthermore, we show that as regular smoking becomes more stigmatized and less prevalent, these biological risk factors gain importance as determinants of the behavior. John Wiley and Sons Inc. 2017-02-23 2018-01 /pmc/articles/PMC5811785/ /pubmed/28231610 http://dx.doi.org/10.1111/adb.12496 Text en © 2017 Decode genetics EHF. Addiction Biology published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Genetic Study Reginsson, Gunnar W. Ingason, Andres Euesden, Jack Bjornsdottir, Gyda Olafsson, Sigurgeir Sigurdsson, Engilbert Oskarsson, Hogni Tyrfingsson, Thorarinn Runarsdottir, Valgerdur Hansdottir, Ingunn Steinberg, Stacy Stefansson, Hreinn Gudbjartsson, Daniel F. Thorgeirsson, Thorgeir E. Stefansson, Kari Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction |
title | Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction |
title_full | Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction |
title_fullStr | Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction |
title_full_unstemmed | Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction |
title_short | Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction |
title_sort | polygenic risk scores for schizophrenia and bipolar disorder associate with addiction |
topic | Genetic Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811785/ https://www.ncbi.nlm.nih.gov/pubmed/28231610 http://dx.doi.org/10.1111/adb.12496 |
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