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      Genetics of substance use disorders: a review

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          Abstract

          Substance use disorders (SUDs) are prevalent and result in an array of negative consequences. They are influenced by genetic factors ( h 2 = ~50%). Recent years have brought substantial progress in our understanding of the genetic etiology of SUDs and related traits. The present review covers the current state of the field for SUD genetics, including the epidemiology and genetic epidemiology of SUDs, findings from the first-generation of SUD genome-wide association studies (GWAS), cautions about translating GWAS findings to clinical settings, and suggested prioritizations for the next wave of SUD genetics efforts. Recent advances in SUD genetics have been facilitated by the assembly of large GWAS samples, and the development of state-of-the-art methods modeling the aggregate effect of genome-wide variation. These advances have confirmed that SUDs are highly polygenic with many variants across the genome conferring risk, the vast majority of which are of small effect. Downstream analyses have enabled finer resolution of the genetic architecture of SUDs and revealed insights into their genetic relationship with other psychiatric disorders. Recent efforts have also prioritized a closer examination of GWAS findings that have suggested non-uniform genetic influences across measures of substance use (e.g. consumption) and problematic use (e.g. SUD). Additional highlights from recent SUD GWAS include the robust confirmation of loci in alcohol metabolizing genes (e.g. ADH1B and ALDH2) affecting alcohol-related traits, and loci within the CHRNA5-CHRNA3-CHRNB4 gene cluster influencing nicotine-related traits. Similar successes are expected for cannabis, opioid, and cocaine use disorders as sample sizes approach those assembled for alcohol and nicotine.

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          Most cited references104

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          LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

          Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness and population stratification, can yield an inflated distribution of test statistics in genome-wide association studies (GWAS). However, current methods cannot distinguish between inflation from a true polygenic signal and bias. We have developed an approach, LD Score regression, that quantifies the contribution of each by examining the relationship between test statistics and linkage disequilibrium (LD). The LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control. We find strong evidence that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size.
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            Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

            Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable 2,3 and etiologically related 4,5 behaviors that have been resistant to gene discovery efforts 6–11 . In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures.
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              The nature of nurture: Effects of parental genotypes

              Sequence variants in the parental genomes that are not transmitted to a child (the proband) are often ignored in genetic studies. Here we show that nontransmitted alleles can affect a child through their impacts on the parents and other relatives, a phenomenon we call "genetic nurture." Using results from a meta-analysis of educational attainment, we find that the polygenic score computed for the nontransmitted alleles of 21,637 probands with at least one parent genotyped has an estimated effect on the educational attainment of the proband that is 29.9% (P = 1.6 × 10-14) of that of the transmitted polygenic score. Genetic nurturing effects of this polygenic score extend to other traits. Paternal and maternal polygenic scores have similar effects on educational attainment, but mothers contribute more than fathers to nutrition- and heath-related traits.
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                Author and article information

                Journal
                Psychol Med
                Psychol Med
                PSM
                Psychological Medicine
                Cambridge University Press (Cambridge, UK )
                0033-2917
                1469-8978
                October 2021
                21 April 2021
                : 51
                : 13 , Updates on the Genetics of Major Psychiatric Disorders by Early Career Investigators from the Psychiatric Genomics Consortium
                : 2189-2200
                Affiliations
                [1 ]Department of Psychiatry, Yale School of Medicine , New Haven, CT, USA
                [2 ]Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center , West Haven, CT, USA
                [3 ]Department of Psychiatry, Washington University School of Medicine , St. Louis, MO, USA
                Author notes
                Author for correspondence: Emma C. Johnson, E-mail: emma.c.johnson@ 123456wustl.edu
                Author information
                https://orcid.org/0000-0002-0540-6080
                https://orcid.org/0000-0003-0394-777X
                Article
                S0033291721000969 PSM-D-20-01836
                10.1017/S0033291721000969
                8477224
                33879270
                2c688d11-e8d3-4cc6-853c-57c78c1fdcf7
                © The Author(s) 2021

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 02 October 2020
                : 22 February 2021
                : 04 March 2021
                Page count
                Tables: 2, References: 109, Pages: 12
                Categories
                Invited Review

                Clinical Psychology & Psychiatry
                substance use disorders,genetics,genome wide association study,twin and family studies,heritability,genetic epidemiology

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