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Browsing by Author "Fontanillas, Pierre"
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Item A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals(Elsevier, 2024) Jennings, Mariela V.; Martínez-Magaña, José Jaime; Courchesne-Krak, Natasia S.; Cupertino, Renata B.; Vilar-Ribó, Laura; Bianchi, Sevim B.; Hatoum, Alexander S.; Atkinson, Elizabeth G.; Giusti-Rodriguez, Paola; Montalvo-Ortiz, Janitza L.; Gelernter, Joel; Soler Artigas, María; 23andMe, Inc. Research Team; Elson, Sarah L.; Edenberg, Howard J.; Fontanillas, Pierre; Palmer, Abraham A.; Sanchez-Roige, Sandra; Biochemistry and Molecular Biology, School of MedicineBackground: Alcohol consumption is associated with numerous negative social and health outcomes. These associations may be direct consequences of drinking, or they may reflect common genetic factors that influence both alcohol consumption and other outcomes. Methods: We performed exploratory phenome-wide association studies (PheWAS) of three of the best studied protective single nucleotide polymorphisms (SNPs) in genes encoding ethanol metabolising enzymes (ADH1B: rs1229984-T, rs2066702-A; ADH1C: rs698-T) using up to 1109 health outcomes across 28 phenotypic categories (e.g., substance-use, mental health, sleep, immune, cardiovascular, metabolic) from a diverse 23andMe cohort, including European (N ≤ 2,619,939), Latin American (N ≤ 446,646) and African American (N ≤ 146,776) populations to uncover new and perhaps unexpected associations. These SNPs have been consistently implicated by both candidate gene studies and genome-wide association studies of alcohol-related behaviours but have not been investigated in detail for other relevant phenotypes in a hypothesis-free approach in such a large cohort of multiple ancestries. To provide insight into potential causal effects of alcohol consumption on the outcomes significant in the PheWAS, we performed univariable two-sample and one-sample Mendelian randomisation (MR) analyses. Findings: The minor allele rs1229984-T, which is protective against alcohol behaviours, showed the highest number of PheWAS associations across the three cohorts (N = 232, European; N = 29, Latin American; N = 7, African American). rs1229984-T influenced multiple domains of health. We replicated associations with alcohol-related behaviours, mental and sleep conditions, and cardio-metabolic health. We also found associations with understudied traits related to neurological (migraines, epilepsy), immune (allergies), musculoskeletal (fibromyalgia), and reproductive health (preeclampsia). MR analyses identified evidence of causal effects of alcohol consumption on liability for 35 of these outcomes in the European cohort. Interpretation: Our work demonstrates that polymorphisms in genes encoding alcohol metabolising enzymes affect multiple domains of health beyond alcohol-related behaviours. Understanding the underlying mechanisms of these effects could have implications for treatments and preventative medicine.Item Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts(American Psychiatric Publishing, 2019-02-01) Sanchez-Roige, Sandra; Palmer, Abraham A.; Fontanillas, Pierre; Elson, Sarah L.; The 23andMe Research Team; Substance Use Disorder Working Group of the Psychiatric Genomics Consortium; Adams, Mark J.; Howard, David M.; Edenberg, Howard J.; Davies, Gail; Crist, Richard C.; Deary, Ian J.; McIntosh, Andrew M.; Clarke, Toni-Kim; Biochemistry and Molecular Biology, School of MedicineOBJECTIVE: Alcohol use disorders are common conditions that have enormous social and economic consequences. Genome-wide association analyses were performed to identify genetic variants associated with a proxy measure of alcohol consumption and alcohol misuse and to explore the shared genetic basis between these measures and other substance use, psychiatric, and behavioral traits. METHOD: This study used quantitative measures from the Alcohol Use Disorders Identification Test (AUDIT) from two population-based cohorts of European ancestry (UK Biobank [N=121,604] and 23andMe [N=20,328]) and performed a genome-wide association study (GWAS) meta-analysis. Two additional GWAS analyses were performed, a GWAS for AUDIT scores on items 1-3, which focus on consumption (AUDIT-C), and for scores on items 4-10, which focus on the problematic consequences of drinking (AUDIT-P). RESULTS: The GWAS meta-analysis of AUDIT total score identified 10 associated risk loci. Novel associations localized to genes including JCAD and SLC39A13; this study also replicated previously identified signals in the genes ADH1B, ADH1C, KLB, and GCKR. The dimensions of AUDIT showed positive genetic correlations with alcohol consumption (rg=0.76-0.92) and DSM-IV alcohol dependence (rg=0.33-0.63). AUDIT-P and AUDIT-C scores showed significantly different patterns of association across a number of traits, including psychiatric disorders. AUDIT-P score was significantly positively genetically correlated with schizophrenia (rg=0.22), major depressive disorder (rg=0.26), and attention deficit hyperactivity disorder (rg=0.23), whereas AUDIT-C score was significantly negatively genetically correlated with major depressive disorder (rg=-0.24) and ADHD (rg=-0.10). This study also used the AUDIT data in the UK Biobank to identify thresholds for dichotomizing AUDIT total score that optimize genetic correlations with DSM-IV alcohol dependence. Coding individuals with AUDIT total scores ≤4 as control subjects and those with scores ≥12 as case subjects produced a significant high genetic correlation with DSM-IV alcohol dependence (rg=0.82) while retaining most subjects. CONCLUSIONS: AUDIT scores ascertained in population-based cohorts can be used to explore the genetic basis of both alcohol consumption and alcohol use disorders.Item Genomewide Association Studies of LRRK2 Modifiers of Parkinson's Disease(Wiley, 2021-07) Lai, Dongbing; Alipanahi, Babak; Fontanillas, Pierre; Schwantes, Tae-Hwi; Aasly, Jan; Alcalay, Roy N.; Beecham, Gary W.; Berg, Daniela; Bressman, Susan; Brice, Alexis; Brockman, Kathrin; Clark, Lorraine; Cookson, Mark; Das, Sayantan; Van Deerlin, Vivianna; Follett, Jordan; Farrer, Matthew J.; Trinh, Joanne; Gasser, Thomas; Goldwurm, Stefano; Gustavsson, Emil; Klein, Christine; Lang, Anthony E.; Langston, J. William; Latourelle, Jeanne; Lynch, Timothy; Marder, Karen; Marras, Connie; Martin, Eden R.; McLean, Cory Y.; Mejia-Santana, Helen; Molho, Eric; Myers, Richard H.; Nuytemans, Karen; Ozelius, Laurie; Payami, Haydeh; Raymond, Deborah; Rogaeva, Ekaterina; Rogers, Michael P.; Ross, Owen A.; Samii, Ali; Saunders-Pullman, Rachel; Schüle, Birgitt; Schulte, Claudia; Scott, William K.; Tanner, Caroline; Tolosa, Eduardo; Tomkins, James E.; Vilas, Dolores; Trojanowski, John Q.; Uitti, Ryan; Vance, Jeffery M.; Visanji, Naomi P.; Wszolek, Zbigniew K.; Zabetian, Cyrus P.; Mirelman, Anat; Giladi, Nir; Urtreger, Avi Orr; Cannon, Paul; Fiske, Brian; Foroud, Tatiana; Medical and Molecular Genetics, School of MedicineObjective: The aim of this study was to search for genes/variants that modify the effect of LRRK2 mutations in terms of penetrance and age-at-onset of Parkinson's disease. Methods: We performed the first genomewide association study of penetrance and age-at-onset of Parkinson's disease in LRRK2 mutation carriers (776 cases and 1,103 non-cases at their last evaluation). Cox proportional hazard models and linear mixed models were used to identify modifiers of penetrance and age-at-onset of LRRK2 mutations, respectively. We also investigated whether a polygenic risk score derived from a published genomewide association study of Parkinson's disease was able to explain variability in penetrance and age-at-onset in LRRK2 mutation carriers. Results: A variant located in the intronic region of CORO1C on chromosome 12 (rs77395454; p value = 2.5E-08, beta = 1.27, SE = 0.23, risk allele: C) met genomewide significance for the penetrance model. Co-immunoprecipitation analyses of LRRK2 and CORO1C supported an interaction between these 2 proteins. A region on chromosome 3, within a previously reported linkage peak for Parkinson's disease susceptibility, showed suggestive associations in both models (penetrance top variant: p value = 1.1E-07; age-at-onset top variant: p value = 9.3E-07). A polygenic risk score derived from publicly available Parkinson's disease summary statistics was a significant predictor of penetrance, but not of age-at-onset. Interpretation: This study suggests that variants within or near CORO1C may modify the penetrance of LRRK2 mutations. In addition, common Parkinson's disease associated variants collectively increase the penetrance of LRRK2 mutations. ANN NEUROL 2021;90:82-94.Item 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 MedicineLiability 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.