Andrea Johansson Capusan,Christal N Davis,Emelie Thern,Jürgen Rehm,Joel Gelernter,Henry R Kranzler,Markus Heilig
{"title":"一般智力和酒精使用障碍风险的测量。","authors":"Andrea Johansson Capusan,Christal N Davis,Emelie Thern,Jürgen Rehm,Joel Gelernter,Henry R Kranzler,Markus Heilig","doi":"10.1001/jamapsychiatry.2025.2689","DOIUrl":null,"url":null,"abstract":"Importance\r\nAssociations among general intelligence (IQ), educational attainment (EA), and alcohol use disorder (AUD) are not well understood.\r\n\r\nObjective\r\nTo examine the relationship between IQ, EA, and AUD risk.\r\n\r\nDesign, Setting, and Participants\r\nThe association between IQ and AUD risk was examined in a Swedish national conscription cohort. Potential causality was explored using mendelian randomization (MR) analyses, and the association of polygenic scores (PGS) for cognitive performance with AUD diagnosis was assessed. Participant data were obtained from cross-linked Swedish national registers, genome-wide association study (GWAS) summary statistics, and the US Yale-Penn cohort.\r\n\r\nExposures\r\nIQ and genetic variants associated with cognitive performance.\r\n\r\nMain Outcomes and Measures\r\nHazard ratios (HRs; time-to-event analyses) or odds ratios (ORs) for AUD.\r\n\r\nResults\r\nIncluded in this study was a national cohort of 645 488 males, born between 1950 and 1962, from the Swedish Military Conscription Register, of whom 573 855 individuals were included in this analysis. All individuals were aged 18 years at IQ assessment with no substance use disorder diagnosis at conscription, and mean (SD) follow-up time (SD) was 60.5 (7.9) years. Summary statistics from GWAS of cognitive performance (n = 257 481) and AUD (total = 753 248; cases = 113 325) in individuals of European-like genetic ancestry (EUR), with FinnGen AUD GWAS as a replication sample (total = 500 348; cases = 20 597), were used for MR analyses. PGS analyses were conducted using the data of EUR individuals from the Yale-Penn cohort (n = 5424). IQ at age 18 years was inversely associated with AUD risk in Swedish males (adjusted HR, 1.43; 95% CI, 1.40-1.47; P < .001), adjusting for parental substance use disorder, probands' psychiatric disorders, socioeconomic factors, and birth year strata. MR analyses suggested a causal relationship between lower cognitive performance and AUD risk (β [SE], 0.11 [0.02]; P = 2.6 × 10-12). The mediating role of EA differed between national contexts. Higher cognitive performance PGS were associated with reduced odds of AUD in Yale-Penn participants (OR, 0.83; 95% CI, 0.78-0.89).\r\n\r\nConclusions and Relevance\r\nIQ and cognitive performance have a significant but context-dependent association with AUD risk, highlighting the need for a better understanding of the interplay among genetic factors, cognitive traits, and sociocultural influences on AUD susceptibility.","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":"3 1","pages":""},"PeriodicalIF":17.1000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measures of General Intelligence and Risk for Alcohol Use Disorder.\",\"authors\":\"Andrea Johansson Capusan,Christal N Davis,Emelie Thern,Jürgen Rehm,Joel Gelernter,Henry R Kranzler,Markus Heilig\",\"doi\":\"10.1001/jamapsychiatry.2025.2689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Importance\\r\\nAssociations among general intelligence (IQ), educational attainment (EA), and alcohol use disorder (AUD) are not well understood.\\r\\n\\r\\nObjective\\r\\nTo examine the relationship between IQ, EA, and AUD risk.\\r\\n\\r\\nDesign, Setting, and Participants\\r\\nThe association between IQ and AUD risk was examined in a Swedish national conscription cohort. Potential causality was explored using mendelian randomization (MR) analyses, and the association of polygenic scores (PGS) for cognitive performance with AUD diagnosis was assessed. Participant data were obtained from cross-linked Swedish national registers, genome-wide association study (GWAS) summary statistics, and the US Yale-Penn cohort.\\r\\n\\r\\nExposures\\r\\nIQ and genetic variants associated with cognitive performance.\\r\\n\\r\\nMain Outcomes and Measures\\r\\nHazard ratios (HRs; time-to-event analyses) or odds ratios (ORs) for AUD.\\r\\n\\r\\nResults\\r\\nIncluded in this study was a national cohort of 645 488 males, born between 1950 and 1962, from the Swedish Military Conscription Register, of whom 573 855 individuals were included in this analysis. All individuals were aged 18 years at IQ assessment with no substance use disorder diagnosis at conscription, and mean (SD) follow-up time (SD) was 60.5 (7.9) years. Summary statistics from GWAS of cognitive performance (n = 257 481) and AUD (total = 753 248; cases = 113 325) in individuals of European-like genetic ancestry (EUR), with FinnGen AUD GWAS as a replication sample (total = 500 348; cases = 20 597), were used for MR analyses. PGS analyses were conducted using the data of EUR individuals from the Yale-Penn cohort (n = 5424). IQ at age 18 years was inversely associated with AUD risk in Swedish males (adjusted HR, 1.43; 95% CI, 1.40-1.47; P < .001), adjusting for parental substance use disorder, probands' psychiatric disorders, socioeconomic factors, and birth year strata. MR analyses suggested a causal relationship between lower cognitive performance and AUD risk (β [SE], 0.11 [0.02]; P = 2.6 × 10-12). The mediating role of EA differed between national contexts. 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Measures of General Intelligence and Risk for Alcohol Use Disorder.
Importance
Associations among general intelligence (IQ), educational attainment (EA), and alcohol use disorder (AUD) are not well understood.
Objective
To examine the relationship between IQ, EA, and AUD risk.
Design, Setting, and Participants
The association between IQ and AUD risk was examined in a Swedish national conscription cohort. Potential causality was explored using mendelian randomization (MR) analyses, and the association of polygenic scores (PGS) for cognitive performance with AUD diagnosis was assessed. Participant data were obtained from cross-linked Swedish national registers, genome-wide association study (GWAS) summary statistics, and the US Yale-Penn cohort.
Exposures
IQ and genetic variants associated with cognitive performance.
Main Outcomes and Measures
Hazard ratios (HRs; time-to-event analyses) or odds ratios (ORs) for AUD.
Results
Included in this study was a national cohort of 645 488 males, born between 1950 and 1962, from the Swedish Military Conscription Register, of whom 573 855 individuals were included in this analysis. All individuals were aged 18 years at IQ assessment with no substance use disorder diagnosis at conscription, and mean (SD) follow-up time (SD) was 60.5 (7.9) years. Summary statistics from GWAS of cognitive performance (n = 257 481) and AUD (total = 753 248; cases = 113 325) in individuals of European-like genetic ancestry (EUR), with FinnGen AUD GWAS as a replication sample (total = 500 348; cases = 20 597), were used for MR analyses. PGS analyses were conducted using the data of EUR individuals from the Yale-Penn cohort (n = 5424). IQ at age 18 years was inversely associated with AUD risk in Swedish males (adjusted HR, 1.43; 95% CI, 1.40-1.47; P < .001), adjusting for parental substance use disorder, probands' psychiatric disorders, socioeconomic factors, and birth year strata. MR analyses suggested a causal relationship between lower cognitive performance and AUD risk (β [SE], 0.11 [0.02]; P = 2.6 × 10-12). The mediating role of EA differed between national contexts. Higher cognitive performance PGS were associated with reduced odds of AUD in Yale-Penn participants (OR, 0.83; 95% CI, 0.78-0.89).
Conclusions and Relevance
IQ and cognitive performance have a significant but context-dependent association with AUD risk, highlighting the need for a better understanding of the interplay among genetic factors, cognitive traits, and sociocultural influences on AUD susceptibility.
期刊介绍:
JAMA Psychiatry is a global, peer-reviewed journal catering to clinicians, scholars, and research scientists in psychiatry, mental health, behavioral science, and related fields. The Archives of Neurology & Psychiatry originated in 1919, splitting into two journals in 1959: Archives of Neurology and Archives of General Psychiatry. In 2013, these evolved into JAMA Neurology and JAMA Psychiatry, respectively. JAMA Psychiatry is affiliated with the JAMA Network, a group of peer-reviewed medical and specialty publications.