Impact of comorbidity on family genetic risk profiles for psychiatric and substance use disorders: a descriptive analysis
- Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic approaches to this problem are limited by a reliance on case-control designs. - In 5 828 760 individuals born in Sweden from 1932-1995 with a mean (s.d.) age at...
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Published in | Psychological medicine Vol. 53; no. 6; pp. 2389 - 2398 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cambridge, UK
Cambridge University Press
01.04.2023
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Subjects | |
Online Access | Get full text |
ISSN | 0033-2917 1469-8978 1469-8978 |
DOI | 10.1017/S0033291721004268 |
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Abstract | - Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic approaches to this problem are limited by a reliance on case-control designs.
- In 5 828 760 individuals born in Sweden from 1932-1995 with a mean (s.d.) age at follow-up of 54.4 (18.1), we examined family genetic risk score (FGRS) profiles including internalizing, psychotic, substance use and developmental disorders in 10 pairs of psychiatric and substance use disorders diagnosed from population registries. We examined these profiles in three groups of patients: disorder A only, disorder B only and comorbid cases with both disorders.
- The most common pattern of findings, seen in five pairings, was simple and quantitative. Comorbid cases had higher FGRS than both non-comorbid cases for all (or nearly all) disorders. However, the pattern was more complex in the remaining five pairings and included qualitative changes where the comorbid cases showed no increases in FGRS for certain disorders and in a few cases significant decreases. Several comparisons showed an asymmetric pattern of findings with increases, in comorbidity compared to single disorder cases, of the FGRS for only one of the two disorders.
- The examination of FGRS profiles in general population samples where all disorders are assessed in all subjects provides a fruitful line of inquiry to understand the origins of psychiatric comorbidity. Further work will be needed, with an expansion of analytic approaches, to gain deeper insights into the complex mechanisms likely involved. |
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AbstractList | - Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic approaches to this problem are limited by a reliance on case-control designs.BACKGROUND- Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic approaches to this problem are limited by a reliance on case-control designs.- In 5 828 760 individuals born in Sweden from 1932-1995 with a mean (s.d.) age at follow-up of 54.4 (18.1), we examined family genetic risk score (FGRS) profiles including internalizing, psychotic, substance use and developmental disorders in 10 pairs of psychiatric and substance use disorders diagnosed from population registries. We examined these profiles in three groups of patients: disorder A only, disorder B only and comorbid cases with both disorders.METHODS- In 5 828 760 individuals born in Sweden from 1932-1995 with a mean (s.d.) age at follow-up of 54.4 (18.1), we examined family genetic risk score (FGRS) profiles including internalizing, psychotic, substance use and developmental disorders in 10 pairs of psychiatric and substance use disorders diagnosed from population registries. We examined these profiles in three groups of patients: disorder A only, disorder B only and comorbid cases with both disorders.- The most common pattern of findings, seen in five pairings, was simple and quantitative. Comorbid cases had higher FGRS than both non-comorbid cases for all (or nearly all) disorders. However, the pattern was more complex in the remaining five pairings and included qualitative changes where the comorbid cases showed no increases in FGRS for certain disorders and in a few cases significant decreases. Several comparisons showed an asymmetric pattern of findings with increases, in comorbidity compared to single disorder cases, of the FGRS for only one of the two disorders.RESULTS- The most common pattern of findings, seen in five pairings, was simple and quantitative. Comorbid cases had higher FGRS than both non-comorbid cases for all (or nearly all) disorders. However, the pattern was more complex in the remaining five pairings and included qualitative changes where the comorbid cases showed no increases in FGRS for certain disorders and in a few cases significant decreases. Several comparisons showed an asymmetric pattern of findings with increases, in comorbidity compared to single disorder cases, of the FGRS for only one of the two disorders.- The examination of FGRS profiles in general population samples where all disorders are assessed in all subjects provides a fruitful line of inquiry to understand the origins of psychiatric comorbidity. Further work will be needed, with an expansion of analytic approaches, to gain deeper insights into the complex mechanisms likely involved.CONCLUSIONS- The examination of FGRS profiles in general population samples where all disorders are assessed in all subjects provides a fruitful line of inquiry to understand the origins of psychiatric comorbidity. Further work will be needed, with an expansion of analytic approaches, to gain deeper insights into the complex mechanisms likely involved. Background - Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic approaches to this problem are limited by a reliance on case-control designs. Methods - In 5 828 760 individuals born in Sweden from 1932-1995 with a mean (s.d.) age at follow-up of 54.4 (18.1), we examined family genetic risk score (FGRS) profiles including internalizing, psychotic, substance use and developmental disorders in 10 pairs of psychiatric and substance use disorders diagnosed from population registries. We examined these profiles in three groups of patients: disorder A only, disorder B only and comorbid cases with both disorders. Results - The most common pattern of findings, seen in five pairings, was simple and quantitative. Comorbid cases had higher FGRS than both non-comorbid cases for all (or nearly all) disorders. However, the pattern was more complex in the remaining five pairings and included qualitative changes where the comorbid cases showed no increases in FGRS for certain disorders and in a few cases significant decreases. Several comparisons showed an asymmetric pattern of findings with increases, in comorbidity compared to single disorder cases, of the FGRS for only one of the two disorders. Conclusions - The examination of FGRS profiles in general population samples where all disorders are assessed in all subjects provides a fruitful line of inquiry to understand the origins of psychiatric comorbidity. Further work will be needed, with an expansion of analytic approaches, to gain deeper insights into the complex mechanisms likely involved. - Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic approaches to this problem are limited by a reliance on case-control designs. - In 5 828 760 individuals born in Sweden from 1932-1995 with a mean (s.d.) age at follow-up of 54.4 (18.1), we examined family genetic risk score (FGRS) profiles including internalizing, psychotic, substance use and developmental disorders in 10 pairs of psychiatric and substance use disorders diagnosed from population registries. We examined these profiles in three groups of patients: disorder A only, disorder B only and comorbid cases with both disorders. - The most common pattern of findings, seen in five pairings, was simple and quantitative. Comorbid cases had higher FGRS than both non-comorbid cases for all (or nearly all) disorders. However, the pattern was more complex in the remaining five pairings and included qualitative changes where the comorbid cases showed no increases in FGRS for certain disorders and in a few cases significant decreases. Several comparisons showed an asymmetric pattern of findings with increases, in comorbidity compared to single disorder cases, of the FGRS for only one of the two disorders. - The examination of FGRS profiles in general population samples where all disorders are assessed in all subjects provides a fruitful line of inquiry to understand the origins of psychiatric comorbidity. Further work will be needed, with an expansion of analytic approaches, to gain deeper insights into the complex mechanisms likely involved. |
Author | Kendler, Kenneth S. Sundquist, Jan Ohlsson, Henrik Sundquist, Kristina |
AuthorAffiliation | 1 Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA 2 Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA 3 Center for Primary Health Care Research, Lund University, Malmö, Sweden 4 Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA |
AuthorAffiliation_xml | – name: 3 Center for Primary Health Care Research, Lund University, Malmö, Sweden – name: 1 Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA – name: 2 Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA – name: 4 Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA |
Author_xml | – sequence: 1 givenname: Kenneth S. orcidid: 0000-0001-8689-6570 surname: Kendler fullname: Kendler, Kenneth S. email: Kenneth.Kendler@vcuhealth.org organization: 1Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA – sequence: 2 givenname: Henrik surname: Ohlsson fullname: Ohlsson, Henrik organization: 3Center for Primary Health Care Research, Lund University, Malmö, Sweden – sequence: 3 givenname: Jan surname: Sundquist fullname: Sundquist, Jan organization: 3Center for Primary Health Care Research, Lund University, Malmö, Sweden – sequence: 4 givenname: Kristina surname: Sundquist fullname: Sundquist, Kristina organization: 3Center for Primary Health Care Research, Lund University, Malmö, Sweden |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37310304$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Copyright | Copyright © The Author(s), 2021. Published by Cambridge University Press |
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CorporateAuthor | Lund University School of Economics and Management, LUSEM Lunds universitet Profile areas and other strong research environments Department of Clinical Sciences, Malmö Lund University Centre for Economic Demography Strategiska forskningsområden (SFO) EpiHealth: Epidemiology for Health Faculty of Medicine Family Medicine and Clinical Epidemiology Centrum för ekonomisk demografi Allmänmedicin och klinisk epidemiologi Strategic research areas (SRA) Medicinska fakulteten Ekonomihögskolan Profilområden och andra starka forskningsmiljöer Institutionen för kliniska vetenskaper, Malmö |
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Snippet | - Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic approaches to this... Background– Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic... Background - Comorbidity between psychiatric disorders is extensive but, from a genetic perspective, still poorly understood. Modern molecular genetic... |
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SubjectTerms | Autism Clinical Medicine Cohabitation Comorbidity Consortia Developmental disabilities Developmental disorders Drug use Ethics Family Genetic susceptibility Health risk assessment Humans Internalization Klinisk medicin Males Medical and Health Sciences Medicin och hälsovetenskap Mental disorders Original Article Psychiatry Psychosis Psykiatri Registries Substance use Substance use disorder Substance-Related Disorders - epidemiology Substance-Related Disorders - genetics Twins |
Title | Impact of comorbidity on family genetic risk profiles for psychiatric and substance use disorders: a descriptive analysis |
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