Browsing by Author "Hartz, Sarah M."

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    Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts
    (Springer, 2016-03) Schwantes-An, Tae-Hwi; Zhang, Juan; Chen, Li-Shiun; Hartz, Sarah M.; Culverhouse, Robert C.; Chen, Xiangning; Coon, Hilary; Frank, Josef; Kamens, Helen M.; Konte, Bettina; Kovanen, Leena; Latvala, Antti; Legrand, Lisa N.; Maher, Brion S.; Melroy, Whitney E.; Nelson, Elliot C.; Reid, Mark W.; Robinson, Jason D.; Shen, Pei-Hong; Yang, Bao-Zhu; Andrews, Judy A.; Aveyard, Paul; Beltcheva, Olga; Brown, Sandra A.; Cannon, Dale S.; Cichon, Sven; Corley, Robin P.; Dahmen, Norbert; Degenhardt, Louisa; Foroud, Tatiana; Gaebel, Wolfgang; Giegling, Ina; Glatt, Stephen J.; Grucza, Richard A.; Hardin, Jill; Hartmann, Annette M.; Heath, Andrew C.; Herms, Stefan; Hodgkinson, Colin A.; Hoffmann, Per; Hops, Hyman; Huizinga, David; Ising, Marcus; Johnson, Eric O.; Johnstone, Elaine; Kaneva, Radka P.; Kendler, Kenneth S.; Kiefer, Falk; Kranzler, Henry R.; Krauter, Ken S.; Levran, Orna; Lucae, Susanne; Lynskey, Michael T.; Maier, Wolfgang; Mann, Karl; Martin, Nicholas G.; Mattheisen, Manuel; Montgomery, Grant W.; Müller-Myhsok, Bertram; Murphy, Michael F.; Neale, Michael C.; Nikolov, Momchil A.; Nishita, Denise; Nöthen, Markus M.; Nurnberger, John; Partonen, Timo; Pergadia, Michele L.; Reynolds, Maureen; Ridinger, Monika; Rose, Richard J.; Rouvinen-Lagerström, Noora; Scherbaum, Norbert; Schmäl, Christine; Soyka, Michael; Stallings, Michael C.; Steffens, Michael; Treutlein, Jens; Tsuang, Ming; Wallace, Tamara L.; Wodarz, Norbert; Yuferov, Vadim; Zill, Peter; Bergen, Andrew W.; Chen, Jingchun; Cinciripini, Paul M.; Edenberg, Howard J.; Ehringer, Marissa A.; Ferrell, Robert E.; Gelernter, Joel; Goldman, David; Hewitt, John K.; Hopfer, Christian J.; Iacono, William G.; Kaprio, Jaakko; Kreek, Mary Jeanne; Kremensky, Ivo M.; Madden, Pamela A.F.; McGue, Matt; Munafò, Marcus R.; Philibert, Robert A.; Rietschel, Marcella; Roy, Alec; Rujescu, Dan; Saarikoski, Sirkku T.; Swan, Gary E.; Todorov, Alexandre A.; Vanyukov, Michael M.; Weiss, Robert B.; Bierut, Laura J.; Saccone, Nancy L.; Department of Medical & Molecular Genetics, IU School of Medicine
    The mu1 opioid receptor gene, OPRM1, has long been a high-priority candidate for human genetic studies of addiction. Because of its potential functional significance, the non-synonymous variant rs1799971 (A118G, Asn40Asp) in OPRM1 has been extensively studied, yet its role in addiction has remained unclear, with conflicting association findings. To resolve the question of what effect, if any, rs1799971 has on substance dependence risk, we conducted collaborative meta-analyses of 25 datasets with over 28,000 European-ancestry subjects. We investigated non-specific risk for "general" substance dependence, comparing cases dependent on any substance to controls who were non-dependent on all assessed substances. We also examined five specific substance dependence diagnoses: DSM-IV alcohol, opioid, cannabis, and cocaine dependence, and nicotine dependence defined by the proxy of heavy/light smoking (cigarettes-per-day >20 vs. ≤ 10). The G allele showed a modest protective effect on general substance dependence (OR = 0.90, 95% C.I. [0.83-0.97], p value = 0.0095, N = 16,908). We observed similar effects for each individual substance, although these were not statistically significant, likely because of reduced sample sizes. We conclude that rs1799971 contributes to mechanisms of addiction liability that are shared across different addictive substances. This project highlights the benefits of examining addictive behaviors collectively and the power of collaborative data sharing and meta-analyses.
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    A large-scale genome-wide association study meta-analysis of cannabis use disorder
    (Elsevier, 2020-12) Johnson, Emma C.; Demontis, Ditte; Thorgeirsson, Thorgeir E.; Walters, Raymond K.; Polimanti, Renato; Hatoum, Alexander S.; Sanchez-Roige, Sandra; Paul, Sarah E.; Wendt, Frank R.; Clarke, Toni-Kim; Lai, Dongbing; Reginsson, Gunnar W.; Zhou, Hang; He, June; Baranger, David A.A.; Gudbjartsson, Daniel F.; Wedow, Robbee; Adkins, Daniel E.; Adkins, Amy E.; Alexander, Jeffry; Bacanu, Silviu-Alin; Bigdeli, Tim B.; Boden, Joseph; Brown, Sandra A.; Bucholz, Kathleen K.; Bybjerg-Grauholm, Jonas; Corley, Robin P.; Degenhardt, Louisa; Dick, Danielle M.; Domingue, Benjamin W.; Fox, Louis; Goate, Alison M.; Gordon, Scott D.; Hack, Laura M.; Hancock, Dana B.; Hartz, Sarah M.; Hickie, Ian B.; Hougaard, David M.; Krauter, Kenneth; Lind, Penelope A.; McClintick, Jeanette N.; McQueen, Matthew B.; Meyers, Jacquelyn L.; Montgomery, Grant W.; Mors, Ole; Mortensen, Preben B.; Nordentoft, Merete; Pearson, John F.; Peterson, Roseann E.; Reynolds, Maureen D.; Rice, John P.; Runarsdottir, Valgerdur; Saccone, Nancy L.; Sherva, Richard; Silberg, Judy L.; Tarter, Ralph E.; Tyrfingsson, Thorarinn; Wall, Tamara L.; Webb, Bradley T.; Werge, Thomas; Wetherill, Leah; Wright, Margaret J.; Zellers, Stephanie; Adams, Mark J.; Bierut, Laura J.; Boardman, Jason D.; Copeland, William E.; Farrer, Lindsay A.; Foroud, Tatiana M.; Gillespie, Nathan A.; Grucza, Richard A.; Mullan Harris, Kathleen; Heath, Andrew C.; Hesselbrock, Victor; Hewitt, John K.; Hopfer, Christian J.; Horwood, John; Iacono, William G.; Johnson, Eric O.; Kendler, Kenneth S.; Kennedy, Martin A.; Kranzler, Henry R.; Madden, Pamela A.F.; Maes, Hermine H.; Maher, Brion S.; Martin, Nicholas G.; McGue, Matthew; McIntosh, Andrew M.; Medland, Sarah E.; Nelson, Elliot C.; Porjesz, Bernice; Riley, Brien P.; Stallings, Michael C.; Vanyukov, Michael M.; Vrieze, Scott; Davis, Lea K.; Bogdan, Ryan; Gelernter, Joel; Edenberg, Howard J.; Stefansson, Kari; Børglum, Anders D.; Agrawal, Arpana; Medical and Molecular Genetics, School of Medicine
    Background: Variation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50-70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder. Methods: To conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci, we used samples from the Psychiatric Genomics Consortium Substance Use Disorders working group, iPSYCH, and deCODE (20 916 case samples, 363 116 control samples in total), contrasting cannabis use disorder cases with controls. To examine the genetic overlap between cannabis use disorder and 22 traits of interest (chosen because of previously published phenotypic correlations [eg, psychiatric disorders] or hypothesised associations [eg, chronotype] with cannabis use disorder), we used linkage disequilibrium score regression to calculate genetic correlations. Findings: We identified two genome-wide significant loci: a novel chromosome 7 locus (FOXP2, lead single-nucleotide polymorphism [SNP] rs7783012; odds ratio [OR] 1·11, 95% CI 1·07-1·15, p=1·84 × 10-9) and the previously identified chromosome 8 locus (near CHRNA2 and EPHX2, lead SNP rs4732724; OR 0·89, 95% CI 0·86-0·93, p=6·46 × 10-9). Cannabis use disorder and cannabis use were genetically correlated (rg 0·50, p=1·50 × 10-21), but they showed significantly different genetic correlations with 12 of the 22 traits we tested, suggesting at least partially different genetic underpinnings of cannabis use and cannabis use disorder. Cannabis use disorder was positively genetically correlated with other psychopathology, including ADHD, major depression, and schizophrenia. Interpretation: These findings support the theory that cannabis use disorder has shared genetic liability with other psychopathology, and there is a distinction between genetic liability to cannabis use and cannabis use disorder.
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    Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium
    (Springer Nature, 2020-08) Polimanti, Renato; Walters, Raymond K.; Johnson, Emma C.; McClintick, Jeanette N.; Adkins, Amy E.; Adkins, Daniel E.; Bacanu, Silviu-Alin; Bierut, Laura J.; Bigdeli, Tim B.; Brown, Sandra; Bucholz, Kathleen K.; Copeland, William E.; Costello, E. Jane; Degenhardt, Louisa; Farrer, Lindsay A.; Foroud, Tatiana M.; Fox, Louis; Goate, Alison M.; Grucza, Richard; Hack, Laura M.; Hancock, Dana B.; Hartz, Sarah M.; Heath, Andrew C.; Hewitt, John K.; Hopfer, Christian J.; Johnson, Eric O.; Kendler, Kenneth S.; Kranzler, Henry R.; Krauter, Kenneth; Lai, Dongbing; Madden, Pamela A.F.; Martin, Nicholas G.; Maes, Hermine H.; Nelson, Elliot C.; Peterson, Roseann E.; Porjesz, Bernice; Riley, Brien P.; Saccone, Nancy; Stallings, Michael; Wall, Tamara L.; Webb, Bradley T.; Wetherill, Leah; Biochemistry and Molecular Biology, School of Medicine
    To provide insights into the biology of opioid dependence (OD) and opioid use (i.e., exposure, OE), we completed a genome-wide analysis comparing 4503 OD cases, 4173 opioid-exposed controls, and 32,500 opioid-unexposed controls, including participants of European and African descent (EUR and AFR, respectively). Among the variants identified, rs9291211 was associated with OE (exposed vs. unexposed controls; EUR z = -5.39, p = 7.2 × 10-8). This variant regulates the transcriptomic profiles of SLC30A9 and BEND4 in multiple brain tissues and was previously associated with depression, alcohol consumption, and neuroticism. A phenome-wide scan of rs9291211 in the UK Biobank (N > 360,000) found association of this variant with propensity to use dietary supplements (p = 1.68 × 10-8). With respect to the same OE phenotype in the gene-based analysis, we identified SDCCAG8 (EUR + AFR z = 4.69, p = 10-6), which was previously associated with educational attainment, risk-taking behaviors, and schizophrenia. In addition, rs201123820 showed a genome-wide significant difference between OD cases and unexposed controls (AFR z = 5.55, p = 2.9 × 10-8) and a significant association with musculoskeletal disorders in the UK Biobank (p = 4.88 × 10-7). A polygenic risk score (PRS) based on a GWAS of risk-tolerance (n = 466,571) was positively associated with OD (OD vs. unexposed controls, p = 8.1 × 10-5; OD cases vs. exposed controls, p = 0.054) and OE (exposed vs. unexposed controls, p = 3.6 × 10-5). A PRS based on a GWAS of neuroticism (n = 390,278) was positively associated with OD (OD vs. unexposed controls, p = 3.2 × 10-5; OD vs. exposed controls, p = 0.002) but not with OE (p = 0.67). Our analyses highlight the difference between dependence and exposure and the importance of considering the definition of controls in studies of addiction.
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    A New Statistic to Evaluate Imputation Reliability
    (Public Library of Science, 2010-03-15) Lin, Peng; Hartz, Sarah M.; Zhang, Zhehao; Saccone, Scott F.; Wang, Jia; Tischfield, Jay A.; Edenberg, Howard J.; Kramer, John R.; Goate, Alison M.; Bierut, Laura J.; Rice, John P.; COGA Collaborators COGEND Collaborators, GENEVA; Biochemistry and Molecular Biology, School of Medicine
    Background As the amount of data from genome wide association studies grows dramatically, many interesting scientific questions require imputation to combine or expand datasets. However, there are two situations for which imputation has been problematic: (1) polymorphisms with low minor allele frequency (MAF), and (2) datasets where subjects are genotyped on different platforms. Traditional measures of imputation cannot effectively address these problems. Methodology/Principal Findings We introduce a new statistic, the imputation quality score (IQS). In order to differentiate between well-imputed and poorly-imputed single nucleotide polymorphisms (SNPs), IQS adjusts the concordance between imputed and genotyped SNPs for chance. We first evaluated IQS in relation to minor allele frequency. Using a sample of subjects genotyped on the Illumina 1 M array, we extracted those SNPs that were also on the Illumina 550 K array and imputed them to the full set of the 1 M SNPs. As expected, the average IQS value drops dramatically with a decrease in minor allele frequency, indicating that IQS appropriately adjusts for minor allele frequency. We then evaluated whether IQS can filter poorly-imputed SNPs in situations where cases and controls are genotyped on different platforms. Randomly dividing the data into “cases” and “controls”, we extracted the Illumina 550 K SNPs from the cases and imputed the remaining Illumina 1 M SNPs. The initial Q-Q plot for the test of association between cases and controls was grossly distorted (λ = 1.15) and had 4016 false positives, reflecting imputation error. After filtering out SNPs with IQS<0.9, the Q-Q plot was acceptable and there were no longer false positives. We then evaluated the robustness of IQS computed independently on the two halves of the data. In both European Americans and African Americans the correlation was >0.99 demonstrating that a database of IQS values from common imputations could be used as an effective filter to combine data genotyped on different platforms. Conclusions/Significance IQS effectively differentiates well-imputed and poorly-imputed SNPs. It is particularly useful for SNPs with low minor allele frequency and when datasets are genotyped on different platforms.
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    Shared Genetic Risk between Eating Disorder and Substance Use-Related Phenotypes: Evidence from Genome-Wide Association Studies
    (Wiley, 2021) Munn-Chernoff, Melissa A.; Johnson, Emma C.; Chou, Yi-Ling; Coleman, Jonathan R.I.; Thornton, Laura M.; Walters, Raymond K.; Yilmaz, Zeynep; Baker, Jessica H.; Hübel, Christopher; Gordon, Scott; Medland, Sarah E.; Watson, Hunna J.; Gaspar, Héléna A.; Bryois, Julien; Hinney, Anke; Leppä, Virpi M.; Mattheisen, Manuel; Ripke, Stephan; Yao, Shuyang; Giusti-Rodríguez, Paola; Hanscombe, Ken B.; Adan, Roger A.H.; Alfredsson, Lars; Ando, Tetsuya; Andreassen, Ole A.; Berrettini, Wade H.; Boehm, Ilka; Boni, Claudette; Perica, Vesna Boraska; Buehren, Katharina; Burghardt, Roland; Cassina, Matgteo; Cichon, Sven; Clementi, Maurizio; Cone, Roger D.; Courtet, Philippe; Crow, Scott; Crowley, James J.; Danner, Unna N.; Davis, Oliver S.P.; de Zwaan, Martina; Dedoussis, George; Degortes, Daniela; DeSocio, Janiece E.; Dick, Danielle M.; Dikeos, Dimitris; Dina, Christian; Dmitrzak-Weglarz, Monika; Docampo, Elisa; Duncan, Laramie E.; Egberts, Karin; Ehrlich, Stefan; Escaramís, Geòrgia; Esko, Tõnu; Estivill, Xavier; Farmer, Anne; Favaro, Angela; Fernández-Aranda, Fernando; Fichter, Manfred M.; Fischer, Krista; Föcker, Manuel; Foretova, Lenka; Forstner, Andreas J.; Forzan, Monica; Franklin, Christopher S.; Gallinger, Steven; Giegling, Ina; Giuranna, Johanna; Gonidakis, Fragiskos; Gorwood, Philip; Gratacos Mayora, Monica; Guillaume, Sébastien; Guo, Yiran; Hakonarson, Hakon; Hatzikotoulas, Konstantinos; Hauser, Joanna; Hebebrand, Johannes; Helder, Sietske G.; Herms, Stefan; Herpertz-Dahlmann, Beate; Herzog, Wolfgang; Huckins, Laura M.; Hudson, James I.; Imgart, Hartmut; Inoko, Hidetoshi; Janout, Vladimir; Jiménez-Murcia, Susana; Julià, Antonio; Kalsi, Gursharan; Kaminská, Deborah; Karhunen, Leila; Karwautz, Andreas; Kas, Martien J.H.; Kennedy, James L.; Keski-Rahkonen, Anna; Kiezebrink, Kirsty; Kim, Youl-Ri; Klump, Kelly L.; Knudsen, Gun Peggy S.; La Via, Maria C.; Le Hellard, Stephanie; Levitan, Robert D.; Li, Dong; Lilenfeld, Lisa; Lin, Bochao Danae; Lissowska, Jolanta; Luykx, Jurjen; Magistretti, Pierre J.; Maj, Mario; Mannik, Katrin; Marsal, Sara; Marshall, Christian R.; Mattingsdal, Morten; McDevitt, Sara; McGuffin, Peter; Metspalu, Andres; Meulenbelt, Ingrid; Micali, Nadia; Mitchell, Karen; Monteleone, Alessio Maria; Monteleone, Palmiero; Nacmias, Benedetta; Navratilova, Marie; Ntalla, Ioanna; O’Toole, Julie K.; Ophoff, Roel A.; Padyukov, Leonid; Palotie, Aarno; Pantel, Jacques; Papezova, Hana; Pinto, Dalila; Rabionet, Raquel; Raevuori, Anu; Ramoz, Nicolas; Reichborn-Kjennerud, Ted; Ricca, Valdo; Ripatti, Samuli; Ritschel, Franziska; Roberts, Marion; Rotondo, Alessandro; Rujescu, Dan; Rybakowski, Filip; Santonastaso, Paolo; Scherag, André; Scherer, Stephen W.; Schmidt, Ulrike; Schork, Nicholas J.; Schosser, Alexandra; Seitz, Jochen; Slachtova, Lenka; Slagboom, P. Eline; Slof-Op’t Landt, Margarita C.T.; Slopien, Agnieszka; Sorbi, Sandro; Świątkowska, Beata; Szatkiewicz, Jin P.; Tachmazidou, Ioanna; Tenconi, Elena; Tortorella, Alfonso; Tozzi, Federica; Treasure, Janet; Tsitsika, Artemis; Tyszkiewicz-Nwafor, Marta; Tziouvas, Konstantinos; van Elburg, Annemarie A.; van Furth, Eric F.; Wagner, Gudrun; Walton, Esther; Widen, Elisabeth; Zeggini, Eleftheria; Zerwas, Stephanie; Zipfel, Stephan; Bergen, Andrew W.; Boden, Joseph M.; Brandt, Harry; Crawford, Steven; Halmi, Katherine A.; Horwood, L. John; Johnson, Craig; Kaplan, Allan S.; Kaye, Walter H.; Mitchell, James; Olsen, Catherine M.; Pearson, John F.; Pedersen, Nancy L.; Strober, Michael; Werge, Thomas; Whiteman, David C.; Woodside, D. Blake; Stuber, Garret D.; Grove, Jakob; Henders, Anjali K.; Larsen, Janne T.; Parker, Richard; Petersen, Liselotte V.; Jordan, Jennifer; Kennedy, Martin A.; Birgegård, Andreas; Lichtenstein, Paul; Norring, Claes; Landén, Mikael; Mortensen, Preben Bo; Polimanti, Renato; McClintick, Jeanette N.; Adams, Mark J.; Adkins, Amy E.; Aliev, Fazil; Bacanu, Silviu-Alin; Batzler, Anthony; Bertelsen, Sarah; Biernacka, Joanna M.; Bigdeli, Tim B.; Chen, Li-Shiun; Clarke, Toni-Kim; Degenhardt, Franziska; Docherty, Anna R.; Edwards, Alexis C.; Foo, Jerome C.; Fox, Louis; Frank, Josef; Hack, Laura M.; Hartmann, Annette M.; Hartz, Sarah M.; Heilmann-Heimbach, Stefanie; Hodgkinson, Colin; Hoffmann, Per; Hottenga, Jouke-Jan; Konte, Bettina; Lahti, Jari; Lahti-Pulkkinen, Marius; Lai, Dongbing; Ligthart, Lannie; Loukola, Anu; Maher, Marion S.; Mbarek, Hamdi; McIntosh, Andrew M.; McQueen, Matthew B.; Meyers, Jacquelyn L.; Milaneschi, Yuri; Palviainen, Teemu; Peterson, Roseann E.; Ryu, Euijung; Saccone, Nancy L.; Salvatore, Jessica E.; Sanchez-Roige, Sandra; Schwandt, Melanie; Sherva, Richard; Streit, Fabian; Strohmaier, Jana; Thomas, Nathaniel; Wang, Jen-Chyong; Webb, Bradley T.; Wedow, Robbee; Wetherill, Leah; Wills, Amanda G.; Zhou, Hang; Boardman, Jason D.; Chen, Danfeng; Choi, Doo-Sup; Copeland, William E.; Culverhouse, Robert C.; Dahmen, Norbert; Degenhardt, Louisa; Domingue, Benjamin W.; Frye, Mark A.; Gäbel, Wolfgang; Hayward, Caroline; Ising, Marcus; Keyes, Margaret; Kiefer, Falk; Koller, Gabrielle; Kramer, John; Kuperman, Samuel; Lucae, Susanne; Lynskey, Michael T.; Maier, Wolfgang; Mann, Karl; Männistö, Satu; Müller-Myhsok, Bertram; Murray, Alison D.; Nurnberger, John I.; Preuss, Ulrich; Räikkönen, Katri; Reynolds, Maureen D.; Ridinger, Monika; Scherbaum, Norbert; Schuckit, Marc A.; Soyka, Michael; Treutlein, Jens; Witt, Stephanie H.; Wodarz, Norbert; Zill, Peter; Adkins, Daniel E.; Boomsma, Dorret I.; Bierut, Laura J.; Brown, Sandra A.; Bucholz, Kathleen K.; Costello, E. Jane; de Wit, Harriet; Diazgranados, Nancy; Eriksson, Johan G.; Farrer, Lindsay A.; Foroud, Tatiana M.; Gillespie, Nathan A.; Goate, Alison M.; Goldman, David; Grucza, Richard A.; Hancock, Dana B.; Mullan Harris, Kathleen; Hesselbrock, Victor; Hewitt, John K.; Hopfer, Christian; Iacono, William G.; Johnson, Eric O.; Karpyak, Victor M.; Kendler, Kenneth S.; Kranzler, Henry R.; Krauter, Kenneth; Lind, Penelope A.; McGue, Matt; MacKillop, James; Madden, Pamela A.F.; Maes, Hermine H.; Magnusson, Patrik K.E.; Nelson, Elliot C.; Nöthen, Markus M.; Palmer, Abraham A.; Penninx, Brenda W.J.H.; Porjesz, Bernice; Rice, John P.; Rietschel, Marcella; Riley, Brien P.; Rose, Richard J.; Shen, Pei-Hong; Silberg, Judy; Stallings, Michael C.; Tarter, Ralph E.; Vanyukov, Michael M.; Vrieze, Scott; Wall, Tamara L.; Whitfield, John B.; Zhao, Hongyu; Neale, Benjamin M.; Wade, Tracey D.; Heath, Andrew C.; Montgomery, Grant W.; Martin, Nicholas G.; Sullivan, Patrick F.; Kaprio, Jaakko; Breen, Gerome; Gelernter, Joel; Edenberg, Howard J.; Bulik, Cynthia M.; Agrawal, Arpana; Biochemistry and Molecular Biology, School of Medicine
    Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic risk between eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa (BN) and problem alcohol use, mainly abuse and dependence (twin-based genetic correlation [rg]=0.23–0.53). Analytic advances facilitate the computation of genetic correlations using summary statistics from existing genome-wide association studies (GWAS). We investigated shared genetic risk between eating disorder and substance use and disorder phenotypes using GWAS data. Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge-eating, AN without binge-eating, and a BN factor score), and eight substance use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Total sample sizes per phenotype ranged from ~2,400 to ~537,000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder and substance use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg=0.18; false discovery rate q=0.0006), cannabis initiation and AN (rg=0.23; q<0.0001), and cannabis initiation and AN with binge-eating (rg=0.27; q=0.0016). Conversely, significant negative genetic correlations were observed between three non-diagnostic smoking phenotypes (smoking initiation, smoking cessation, and cigarettes per day) and AN without binge-eating (rgs=−0.19 to −0.23; qs<0.04). The observed patterns of association between different eating disorder and substance use-related phenotypes highlights the potentially complex and substance-specific relationships between these behaviors associated with significant public health burden.
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    Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders
    (Springer Nature, 2018-12) Walters, Raymond K.; Polimanti, Renato; Johnson, Emma C.; McClintick, Jeanette N.; Adams, Mark J.; Adkins, Amy E.; Aliev, Fazil; Bacanu, Silviu-Alin; Batzler, Anthony; Bertelsen, Sarah; Biernacka, Joanna M.; Bigdeli, Tim B.; Chen, Li-Shiun; Clarke, Toni-Kim; Chou, Yi-Ling; Degenhardt, Franziska; Docherty, Anna R.; Edwards, Alexis C.; Fontanillas, Pierre; Foo, Jerome C.; Fox, Louis; Frank, Josef; Giegling, Ina; Gordon, Scott; Hack, Laura M.; Hartmann, Annette M.; Hartz, Sarah M.; Heilmann-Heimbach, Stefanie; Herms, Stefan; Hodgkinson, Colin; Hoffmann, Per; Hottenga, Jouke Jan; Kennedy, Martin A.; Alanne-Kinnunen, Mervi; Konte, Bettina; Lahti, Jari; Lahti-Pulkkinen, Marius; Lai, Dongbing; Ligthart, Lannie; Loukola, Anu; Maher, Brion S.; Mbarek, Hamdi; McIntosh, Andrew M.; McQueen, Matthew B.; Meyers, Jacquelyn L.; Milaneschi, Yuri; Palviainen, Teemu; Pearson, John F.; Peterson, Roseann E.; Ripatti, Samuli; Ryu, Euijung; Saccone, Nancy L.; Salvatore, Jessica E.; Sanchez-Roige, Sandra; Schwandt, Melanie; Sherva, Richard; Streit, Fabian; Strohmaier, Jana; Thomas, Nathaniel; Wang, Jen-Chyong; Webb, Bradley T.; Wedow, Robbee; Wetherill, Leah; Wills, Amanda G.; Boardman, Jason D.; Chen, Danfeng; Choi, Doo-Sup; Copeland, William E.; Culverhouse, Robert C.; Dahmen, Norbert; Degenhardt, Louisa; Domingue, Benjamin W.; Elson, Sarah L.; Frye, Mark A.; Gäbel, Wolfgang; Hayward, Caroline; Ising, Marcus; Keyes, Margaret; Kiefer, Falk; Kramer, John; Kuperman, Samuel; Lucae, Susanne; Lynskey, Michael T.; Maier, Wolfgang; Mann, Karl; Männistö, Satu; Müller-Myhsok, Bertram; Murray, Alison D.; Nurnberger, John I.; Palotie, Aarno; Preuss, Ulrich; Räikkönen, Katri; Reynolds, Maureen D.; Ridinger, Monika; Scherbaum, Norbert; Schuckit, Marc A.; Soyka, Michael; Treutlein, Jens; Witt, Stephanie; Wodarz, Norbert; Zill, Peter; Adkins, Daniel E.; Boden, Joseph M.; Boomsma, Dorret I.; Bierut, Laura J.; Brown, Sandra A.; Bucholz, Kathleen K.; Cichon, Sven; Costello, E. Jane; de Wit, Harriet; Diazgranados, Nancy; Dick, Danielle M.; Eriksson, Johan G.; Farrer, Lindsay A.; Foroud, Tatiana M.; Gillespie, Nathan A.; Goate, Alison M.; Goldman, David; Grucza, Richard A.; Hancock, Dana B.; Harris, Kathleen Mullan; Heath, Andrew C.; Hesselbrock, Victor; Hewitt, John K.; Hopfer, Christian J.; Horwood, John; Iacono, William; Johnson, Eric O.; Kaprio, Jaakko A.; Karpyak, Victor M.; Kendler, Kenneth S.; Kranzler, Henry R.; Krauter, Kenneth; Lichtenstein, Paul; Lind, Penelope A.; McGue, Matt; MacKillop, James; Madden, Pamela A. F.; Maes, Hermine H.; Magnusson, Patrik; Martin, Nicholas G.; Medland, Sarah E.; Montgomery, Grant W.; Nelson, Elliot C.; Nöthen, Markus M.; Palmer, Abraham A.; Pedersen, Nancy L.; Penninx, Brenda W.J.H.; Porjesz, Bernice; Rice, John P.; Rietschel, Marcella; Riley, Brien P.; Rose, Richard; Rujescu, Dan; Shen, Pei-Hong; Silberg, Judy; Stallings, Michael C.; Tarter, Ralph E.; Vanyukov, Michael M.; Vrieze, Scott; Wall, Tamara L.; Whitfield, John B.; Zhao, Hongyu; Neale, Benjamin M.; Gelernter, Joel; Edenberg, Howard J.; Agrawal, Arpana; Biochemistry and Molecular Biology, School of Medicine
    Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.