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3. Genome‐wide association study identifies ABCG2 (BCRP) as an allopurinol transporter and a determinant of drug response

Author

Wen, CC, Yee, SW, Liang, X, Hoffmann, TJ, Kvale, MN, Banda, Y, Jorgenson, E, Schaefer, C, Risch, N, and Giacomini, KM

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Human Genome, Clinical Research, Genetics, Prevention, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Good Health and Well Being, ATP Binding Cassette Transporter, Subfamily G, Member 2, ATP-Binding Cassette Transporters, Aged, Allopurinol, Biomarkers, California, Cell Survival, Dose-Response Relationship, Drug, Female, Gene Frequency, Genome-Wide Association Study, Genotype, Gout Suppressants, HEK293 Cells, Humans, Hyperuricemia, Male, Middle Aged, Mitoxantrone, Neoplasm Proteins, Pharmacogenetics, Phenotype, Polymorphism, Single Nucleotide, Transfection, Treatment Outcome, Uric Acid, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

The first-line treatment of hyperuricemia, which causes gout, is allopurinol. The allopurinol response is highly variable, with many users failing to achieve target serum uric acid (SUA) levels. No genome-wide association study (GWAS) has examined the genetic factors affecting allopurinol effectiveness. Using 2,027 subjects in Kaiser Permanente's Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort, we conducted a GWAS of allopurinol-related SUA reduction, first in the largest ethnic group, non-Hispanic white (NHW) subjects, and then in a stratified transethnic meta-analysis. ABCG2, encoding the efflux pump BCRP, was associated with SUA reduction in NHW subjects (P = 2 × 10(-8) ), and a missense allele (rs2231142) was associated with a reduced response (P = 3 × 10(-7) ) in the meta-analysis. Isotopic uptake studies in cells demonstrated that BCRP transports allopurinol and genetic variants in ABCG2 affect this transport. Collectively, this first GWAS of allopurinol response demonstrates that ABCG2 is a key determinant of response to the drug.

Published
2015

4. Imputation of the Rare HOXB13 G84E Mutation and Cancer Risk in a Large Population-Based Cohort

Author

Witte, John, Hoffmann, Thomas, Risch, Neil, Hoffmann, TJ, Sakoda, LC, Shen, L, Jorgenson, E, Habel, LA, Liu, J, Kvale, MN, Asgari, MM, Banda, Y, and Corley, D

Abstract

© 2015 Hoffmann et al.An efficient approach to characterizing the disease burden of rare genetic variants is to impute them into large well-phenotyped cohorts with existing genome-wide genotype data using large sequenced referenced panels. The success of t

Published
2015

5. Detection of identity by descent using next-generation whole genome sequencing data

Author

Baranzini, Sergio, Su, SY, Kasberger, J, Byerley, W, Liao, W, Oksenberg, J, Sherr, E, and Jorgenson, E

Abstract

Background: Identity by descent (IBD) has played a fundamental role in the discovery of genetic loci underlying human diseases. Both pedigree-based and population-based linkage analyses rely on estimating recent IBD, and evidence of ancient IBD can be used

Published
2012

6. Discovery of regulatory elements in human ATP-binding cassette transporters through expression quantitative trait mapping

Author

Giacomini, Kathleen, Kroetz, Deanna, Matsson, P, Yee, SW, Markova, S, Morrissey, K, Jenkins, G, Xuan, J, Jorgenson, E, Kroetz, DL, and Giacomini, KM

Abstract

ATP-binding cassette (ABC) membrane transporters determine the disposition of many drugs, metabolites and endogenous compounds. Coding region variation in ABC transporters is the cause of many genetic disorders, but much less is known about the genetic bas

Published
2012

7. Genome-wide meta-analyses of smoking behaviors in African Americans.

Author

David, SP, Hamidovic, A, Chen, GK, Bergen, AW, Wessel, J, Kasberger, JL, Brown, WM, Petruzella, S, Thacker, EL, Kim, Y, Nalls, MA, Tranah, GJ, Sung, YJ, Ambrosone, CB, Arnett, D, Bandera, EV, Becker, DM, Becker, L, Berndt, SI, Bernstein, L, Blot, WJ, Broeckel, U, Buxbaum, SG, Caporaso, N, Casey, G, Chanock, SJ, Deming, SL, Diver, WR, Eaton, CB, Evans, DS, Evans, MK, Fornage, M, Franceschini, N, Harris, TB, Henderson, BE, Hernandez, DG, Hitsman, B, Hu, JJ, Hunt, SC, Ingles, SA, John, EM, Kittles, R, Kolb, S, Kolonel, LN, Le Marchand, L, Liu, Y, Lohman, KK, McKnight, B, Millikan, RC, Murphy, A, Neslund-Dudas, C, Nyante, S, Press, M, Psaty, BM, Rao, DC, Redline, S, Rodriguez-Gil, JL, Rybicki, BA, Signorello, LB, Singleton, AB, Smoller, J, Snively, B, Spring, B, Stanford, JL, Strom, SS, Swan, GE, Taylor, KD, Thun, MJ, Wilson, AF, Witte, JS, Yamamura, Y, Yanek, LR, Yu, K, Zheng, W, Ziegler, RG, Zonderman, AB, Jorgenson, E, Haiman, CA, and Furberg, H

Subjects
Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 15, Humans, Genetic Predisposition to Disease, Proteoglycans, Receptors, Nicotinic, Nerve Tissue Proteins, Smoking, Genotype, Phenotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Statistics as Topic, Genetic Variation, Genome-Wide Association Study, Genetic Loci, African American, genome-wide association, health disparities, nicotine, smoking, tobacco, Chromosomes, Human, Pair 10, Pair 15, Polymorphism, Single Nucleotide, Receptors, Nicotinic, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n = 32,389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (β = 0.040, s.e. = 0.007, P = 1.84 × 10(-8)). This variant is present in the 5'-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.

Published
2012

8. Common and rare variant associations with clonal haematopoiesis phenotypes

Author

Kessler, M.D., Damask, A., O'Keeffe, S., Banerjee, N., Li, D., Watanabe, K., Marketta, A., VanMeter, M., Horowitz, J., Tang, J., Kosmicki, J.A., Rajagopal, V.M., Zou, Y., Houvras, Y., Ghosh, A., Gilles, C., Mbatchou, J., White, R.R., Verweij, N., Bovijn, J., Parikshak, N.N., LeBlanc, M.G., Jones, M., Glass, D.J., Lotta, L.A., Cantor, M.N., Atwal, G.S., Locke, A.E., Ferreira, M.A.R., Deering, R., Paulding, C., Schuldiner, A.R., Thurston, G., Ferrando, A.A., Salerno, W., Reid, J.G., Overton, J.D., Marchini, J., Kang, H.M., Baras, A., Abecasis, G.R., Jorgenson, E., and Semrau, S.

Subjects
Multidisciplinary, Cardiovascular Diseases, Humans, COVID-19, Clonal Hematopoiesis
Abstract

Clonal haematopoiesis involves the expansion of certain blood cell lineages and has been associated with ageing and adverse health outcomes

Published
2022

12. Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults A 2-Sample Mendelian Randomization Study

Author

Choi, K.W., Chen, C.Y., Stein, M.B., Klimentidis, Y.C., Wang, M.J., Koenen, K.C., Smoller, J.W., Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T., Andlauer, T.F.M., Bacanu, S.A., Baekvad-Hansen, M., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Hvarregaard, J., Christensen, J.H., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W., Krogh, J., Kutalik, Z., Li, Y.H., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Marchini, J., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Saeed, S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y.P., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.L.S., Yang, J., Zhang, F.T., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Nordentoft, M., Nothen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Stefansson, K., Tiemeier, H., Uher, R., Volzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Borglum, A.D., Sullivan, P.F., Major Depressive Disorder Working, Epidemiology, Internal Medicine, Child and Adolescent Psychiatry / Psychology, Psychiatry, Biological Psychology, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, and Adult Psychiatry

Subjects
Adult, DISORDER, medicine.medical_specialty, Genome-wide association study, EXERCISE, CAUSALITY, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, PEOPLE, Internal medicine, Accelerometry, Mendelian randomization, SCHIZOPHRENIA, Humans, Medicine, ANXIETY, Exercise, RISK, Depressive Disorder, Major, business.industry, Case-control study, SEDENTARY BEHAVIOR, Mendelian Randomization Analysis, Odds ratio, ASSOCIATION, Protective Factors, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Sample size determination, Case-Control Studies, Meta-analysis, Major depressive disorder, Self Report, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Importance: Increasing evidence shows that physical activity is associated with reduced risk for depression, pointing to a potential modifiable target for prevention. However, the causality and direction of this association are not clear; physical activity may protect against depression, and/or depression may result in decreased physical activity.Objective: To examine bidirectional relationships between physical activity and depression using a genetically informed method for assessing potential causal inference.Design, Setting, and Participants: This 2-sample mendelian randomization (MR) used independent top genetic variants associated with 2 physical activity phenotypes-self-reported (n = 377 234) and objective accelerometer-based (n = 91 084)-and with major depressive disorder (MDD) (n = 143 265) as genetic instruments from the largest available, nonoverlapping genome-wide association studies (GWAS). GWAS were previously conducted in diverse observational cohorts, including the UK Biobank (for physical activity) and participating studies in the Psychiatric Genomics Consortium (for MDD) among adults of European ancestry. Mendelian randomization estimates from each genetic instrument were combined using inverse variance weighted meta-analysis, with alternate methods (eg, weighted median, MR Egger, MR-Pleiotropy Residual Sum and Outlier [PRESSO]) and multiple sensitivity analyses to assess horizontal pleiotropy and remove outliers. Data were analyzed from May 10 through July 31, 2018.Main Outcomes and Measures: MDD and physical activity.Results: GWAS summary data were available for a combined sample size of 611 583 adult participants. Mendelian randomization evidence suggested a protective relationship between accelerometer-based activity and MDD (odds ratio [OR], 0.74 for MDD per 1-SD increase in mean acceleration; 95% CI, 0.59-0.92; P = .006). In contrast, there was no statistically significant relationship between MDD and accelerometer-based activity (β = -0.08 in mean acceleration per MDD vs control status; 95% CI, -0.47 to 0.32; P = .70). Furthermore, there was no significant relationship between self-reported activity and MDD (OR, 1.28 for MDD per 1-SD increase in metabolic-equivalent minutes of reported moderate-to-vigorous activity; 95% CI, 0.57-3.37; P = .48), or between MDD and self-reported activity (β = 0.02 per MDD in standardized metabolic-equivalent minutes of reported moderate-to-vigorous activity per MDD vs control status; 95% CI, -0.008 to 0.05; P = .15).Conclusions and Relevance: Using genetic instruments identified from large-scale GWAS, robust evidence supports a protective relationship between objectively assessed-but not self-reported-physical activity and the risk for MDD. Findings point to the importance of objective measurement of physical activity in epidemiologic studies of mental health and support the hypothesis that enhancing physical activity may be an effective prevention strategy for depression.

Published
2019

17. A Polygenic Risk Score for Asthma in a Large Multi-Ethnic Population

Author

Sordillo, J., primary, Lutz, S.M., additional, Jorgenson, E., additional, Iribarren, C., additional, McGeachie, M., additional, Dahlin, A., additional, Tantisira, K.G., additional, Kelly, R.S., additional, Lasky-Su, J.A., additional, Sakornsakoplat, P., additional, Moll, M., additional, Cho, M.H., additional, and Wu, A.C., additional

Published
2020
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18. Identification of common genetic risk variants for autism spectrum disorder

Author

Grove, J., Ripke, S., Als, T.D., Mattheisen, M., Walters, R.K., Won, H., Pallesen, J., Agerbo, E., Andreassen, O.A., Anney, R., Awashti, S., Belliveau, R., Bettella, F., Buxbaum, J.D., Bybjerg-Grauholm, J., Baekvad-Hansen, M., Cerrato, F., Chambert, K., Christensen, J.H., Churchhouse, C., Dellenvall, K., Demontis, D., Rubeis, S. de, Devlin, B., Djurovic, S., Dumont, A.L., Goldstein, J.I., Hansen, C.S., Hauberg, M.E., Hollegaard, M.V., Hope, S., Howrigan, D.P., Huang, H., Hultman, C.M., Klei, L., Maller, J., Martin, J., Martin, A.R., Moran, J.L., Nyegaard, M., Naeland, T., Palmer, D.S., Palotie, A., Pedersen, C.B., Pedersen, M.G., dPoterba, T., Poulsen, J.B., St Pourcain, B., Qvist, P., Rehnstrom, K., Reichenberg, A., Reichert, J., Robinson, E.B., Roeder, K., Roussos, P., Saemundsen, E., Sandin, S., Satterstrom, F.K., Smith, G.D., Stefansson, H., Steinberg, S., Stevens, C.R., Sullivan, P.F., Turley, P., Walters, G.B., Xu, X.Y., Stefansson, K., Geschwind, D.H., Nordentoft, M., Hougaard, D.M., Werge, T., Mors, O., Mortensen, P.B., Neale, B.M., Daly, M.J., Borglum, A.D., Wray, N.R., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Air, T.M., Andlauer, T.F.M., Bacanu, S.A., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Cai, N., Castelao, E., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Hall, L.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y.P., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F.T., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Muller-Myhsok, B., Nothen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Tiemeier, H., Uher, R., Volzke, H., Weissman, M.M., Lewis, C.M., Levinson, D.F., Breen, G., Agee, M., Alipanahi, B., Auton, A., Bell, R.K., Bryc, K., Elson, S.L., Fontanillas, P., Furlotte, N.A., Hromatka, B.S., Huber, K.E., Kleinman, A., Litterman, N.K., McIntyre, M.H., Mountain, J.L., Noblin, E.S., Northover, C.A.M., Pitts, S.J., Sathirapongsasuti, J.F., Sazonova, O.V., Shelton, J.F., Shringarpure, S., Tung, J.Y., Vacic, V., Wilson, C.H., Psychiat Genomics Consortium, BUPGEN, 23andMe Re, Biological Psychology, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Adult Psychiatry, Psychiatry, Human genetics, Amsterdam Reproduction & Development (AR&D), VU University medical center, APH - Digital Health, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium, BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Me Research Team, Epidemiology, and Child and Adolescent Psychiatry / Psychology

Subjects
Male, Netherlands Twin Register (NTR), Multifactorial Inheritance, Autism Spectrum Disorder, Denmark, LD SCORE REGRESSION, LOCI, Genome-wide association study, DE-NOVO, 0302 clinical medicine, Polymorphism (computer science), Risk Factors, SYNAPTIC PLASTICITY, CELL-SURFACE, Child, Genetics, 0303 health sciences, HERITABILITY, Genetic Predisposition to Disease/genetics, 1184 Genetics, developmental biology, physiology, Polymorphism, Single Nucleotide/genetics, Phenotype, 3. Good health, Schizophrenia, Autism spectrum disorder, Child, Preschool, Genome-Wide Association Study/methods, Female, SIMONS SIMPLEX COLLECTION, Adolescent, Biology, NEURITE OUTGROWTH, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, 03 medical and health sciences, mental disorders, medicine, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, SDG 2 - Zero Hunger, Multifactorial Inheritance/genetics, METAANALYSIS, 030304 developmental biology, Case-control study, Heritability, medicine.disease, Autism Spectrum Disorder/genetics, Case-Control Studies, 3111 Biomedicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Published in final edited form as: Nat Genet. 2019 March ; 51(3): 431–444. doi:10.1038/s41588-019-0344-8., Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 ASD cases and 27,969 controls that identifies five genome-wide significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), seven additional loci shared with other traits are identified at equally strict significance levels. Dissecting the polygenic architecture, we find both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis and establish that GWAS performed at scale will be much more productive in the near term in ASD., The iPSYCH project is funded by the Lundbeck Foundation (grant numbers R102-A9118 and R155-2014-1724) and the universities and university hospitals of Aarhus and Copenhagen. Genotyping of iPSYCH and PGC samples was supported by grants from the Lundbeck Foundation, the Stanley Foundation, the Simons Foundation (SFARI 311789 to MJD), and NIMH (5U01MH094432–02 to MJD). The Danish National Biobank resource was supported by the Novo Nordisk Foundation. Data handling and analysis on the GenomeDK HPC facility was supported by NIMH (1U01MH109514–01 to M O’Donovan and ADB). High-performance computer capacity for handling and statistical analysis of iPSYCH data on the GenomeDK HPC facility was provided by the Centre for Integrative Sequencing, iSEQ, Aarhus University, Denmark (grant to ADB). Drs. S De Rubeis and JD Buxbaum were supported by NIH grants MH097849 (to JDB) and MH111661 (to JDB), and by the Seaver Foundation (to SDR and JDB). Dr J Martin was supported by the Wellcome Trust (grant no: 106047). O. Andreassen received funding from Research Council of Norway (#213694, #223273, #248980, #248778), Stiftelsen KG Jebsen and South-East Norway Health Authority. We thank the research participants and employees of 23andMe for making this work possible.

Published
2019

19. Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland

Author

Arnau-Soler, A., Macdonald-Dunlop, E., Adams, M.J., Clarke, T.K., MacIntyre, D.J., Milburn, K., Navrady, L., Hayward, C., McIntosh, A.M., Thomson, P.A., Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Agerbo, E., Air, T.M., Andlauer, T.F.M., Bacanu, S.A., Baekvad-Hansen, M., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenscon, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Rawford, G.E.C., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Foo, J.C., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y.H., Lind, P.A., Macintyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y.P., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.L.S., Yang, J., Zhang, F.T., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., Metspalu, A., Mors, O., Mortensen, P.B., Muller-Myhsok, B., Nordentoft, M., Nothen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Volzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Borglum, A.S.D., Sullivan, P.F., Generation Scotland, and Psychiat Genomics Consortium

Abstract

Stress is associated with poorer physical and mental health. To improve our understanding of this link, we performed genome-wide association studies (GWAS) of depressive symptoms and genome-wide by environment interaction studies (GWEIS) of depressive symptoms and stressful life events (SLE) in two UK population-based cohorts (Generation Scotland and UK Biobank). No SNP was individually significant in either GWAS, but gene-based tests identified six genes associated with depressive symptoms in UK Biobank (DCC, ACSS3, DRD2, STAG1, FOXP2 and KYNU; p < 2.77 x 10(-6)). Two SNPs with genome-wide significant GxE effects were identified by GWEIS in Generation Scotland: rs12789145 (53-kb downstream PIWIL4; p = 4.95 x 10(-9); total SLE) and rs17070072 (intronic to ZCCHC2; p = 1.46 x 10(-8); dependent SLE). A third locus upstream CYLC2 (rs12000047 and rs12005200, p < 2.00 x 10(-8); dependent SLE) when the joint effect of the SNP main and GxE effects was considered. GWEIS gene-based tests identified: MTNR1B with GxE effect with dependent SLE in Generation Scotland; and PHF2 with the joint effect in UK Biobank (p < 2.77 x 10(-6)). Polygenic risk scores (PRSs) analyses incorporating GxE effects improved the prediction of depressive symptom scores, when using weights derived from either the UK Biobank GWAS of depressive symptoms (p = 0.01) or the PGC GWAS of major depressive disorder (p = 5.91 x 10(-3)). Using an independent sample, PRS derived using GWEIS GxE effects provided evidence of shared aetiologies between depressive symptoms and schizotypal personality, heart disease and COPD. Further such studies are required and may result in improved treatments for depression and other stress-related conditions.

Published
2019

20. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

Author

Liu, M, Jiang, Y, Wedow, R, Li, Y, Brazel, DM, Chen, F, Datta, G, Davila-Velderrain, J, McGuire, D, Tian, C, Zhan, X, Team, 23Andme Research, Psychiatry, Hunt All-In, Choquet, H, Docherty, AR, Faul, JD, Foerster, JR, Fritsche, LG, Gabrielsen, ME, Gordon, SD, Haessler, J, Hottenga, J-J, Huang, H, Jang, S-K, Jansen, PR, Ling, Y, Mägi, R, Matoba, N, McMahon, G, Mulas, A, Orrù, V, Palviainen, T, Pandit, A, Reginsson, GW, Skogholt, AH, Smith, JA, Taylor, AE, Turman, C, Willemsen, G, Young, H, Young, KA, Zajac, GJM, Zhao, W, Zhou, W, Bjornsdottir, G, Boardman, JD, Boehnke, M, Boomsma, DI, Chen, C, Cucca, F, Davies, GE, Eaton, CB, Ehringer, MA, Esko, T, Fiorillo, E, Gillespie, NA, Gudbjartsson, DF, Haller, T, Harris, KM, Heath, AC, Hewitt, JK, Hickie, IB, Hokanson, JE, Hopfer, CJ, Hunter, DJ, Iacono, WG, Johnson, EO, Kamatani, Y, Kardia, SLR, Keller, MC, Kellis, M, Kooperberg, C, Kraft, P, Krauter, KS, Laakso, M, Lind, PA, Loukola, A, Lutz, SM, Madden, PAF, Martin, NG, McGue, M, McQueen, MB, Medland, SE, Metspalu, A, Mohlke, KL, Nielsen, JB, Okada, Y, Peters, U, Polderman, TJC, Posthuma, D, Reiner, AP, Rice, JP, Rimm, E, Rose, RJ, Runarsdottir, V, Stallings, MC, Stančáková, A, Stefansson, H, Thai, KK, Tindle, HA, Tyrfingsson, T, Wall, TL, Weir, DR, Weisner, C, Whitfield, JB, Winsvold, BS, Yin, J, Zuccolo, L, Bierut, LJ, Hveem, K, Lee, JJ, Munafò, MR, Saccone, NL, Willer, CJ, Cornelis, MC, David, SP, Hinds, DA, Jorgenson, E, Kaprio, J, Stitzel, JA, Stefansson, K, Thorgeirsson, TE, Abecasis, G, Liu, DJ, Vrieze, S, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Methodology, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Aging & Later Life, and Human Genetics

Subjects
Male, Netherlands Twin Register (NTR), Smoking/genetics, ved/biology.organism_classification_rank.species, Alcohol, Genome-wide association study, Brain and Behaviour, chemistry.chemical_compound, 0302 clinical medicine, Tobacco Use Disorder/genetics, Tobacco/adverse effects, Genetics, 0303 health sciences, Smoking, Tobacco and Alcohol, public health, Tobacco Use Disorder, Middle Aged, 3. Good health, Phenotype, psychiatric disorders, Genetic Variation/genetics, Meta-analysis, Genome-Wide Association Study/methods, Female, Physical and Mental Health, Risk, Alcohol Drinking, psychology, Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Tobacco, Humans, Model organism, Gene, 030304 developmental biology, Genetic association, ved/biology, Genetic Variation, Alcohol Drinking/genetics, Heritability, chemistry, genome-wide association studies, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6,7,8,9,10,11. 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. © 2019. This is the authors’ accepted and refereed manuscript to the article.

Published
2019

21. Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy

Author

Foo, J.C., Streit, F., Frank, J., Witt, S.H., Treutlein, J., Baune, B.T., Moebus, S., Jockel, K.H., Forstner, A.J., Nothen, M.M., Rietschel, M., Sartorius, A., Kranaster, L., Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, T.F.M., Bacanu, S.A., Baekvad-Hansen, M., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y.H., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Wu, Y., Xi, H.L.S., Yang, J., Zhang, F.T., Arolt, V., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Muller-Myhsok, B., Nordentoft, M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Voelzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Borglum, A.D., Sullivan, P.F., and Major Depressive Disorder Worki

Subjects
treatment-resistance, polygenic risk scores, depression, major depression, electroconvulsive therapy
Abstract

Electroconvulsive therapy (ECT) is the treatment of choice for severe and treatment-resistantdepression; disorder severity and unfavorable treatment outcomes are shown to be influencedby an increased genetic burden for major depression (MD). Here, we tested whether ECT assign-ment and response/nonresponse are associated with an increased genetic burden for majordepression (MD) using polygenic risk score (PRS), which summarize the contribution of disease-related common risk variants. Fifty-one psychiatric inpatients suffering from a major depressiveepisode underwent ECT. MD-PRS were calculated for these inpatients and a separatepopulation-based sample (n = 3,547 healthy; n = 426 self-reported depression) based on sum-mary statistics from the Psychiatric Genomics Consortium MDD-working group (Cases:n = 59,851; Controls: n = 113,154). MD-PRS explained a significant proportion of disease statusbetween ECT patients and healthy controls (p = .022, R2 = 1.173%); patients showed higherMD-PRS. MD-PRS in population-based depression self-reporters were intermediate betweenECT patients and controls (n.s.). Significant associations between MD-PRS and ECT response(50% reduction in Hamilton depression rating scale scores) were not observed. Our findings indi-cate that ECT cohorts show an increased genetic burden for MD and are consistent with thehypothesis that treatment-resistant MD patients represent a subgroup with an increased geneticrisk for MD. Larger samples are needed to better substantiate these findings.

Published
2019

22. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations

Author

Cai, J., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Qian, H., Montgomery, C., Kelly, T.N., Cho, M.H., Weiss, S.T., Loos, R.J.F., Johnson, A.D., de Vries, P.S., Li, Y., Becker, L.C., Peralta, J.M., Wiggins, K.L., Bowden, D.W., Lasky-Su, J.A., Buyske, S., Shan, Y., Moon, J.-Y., Jorgenson, E., Cushman, M., Tiwari, H.K., Kooperberg, C., Faraday, N., Tapia, A.L., TOPMed Hematology & Hemostasis Working Group, Thornton, T.A., Choquet, H., Barnes, K.C., Bis, J.C., Hodonsky, C.J., Mathias, R.A., Wang, T., Taylor, K.D., He, J., Kaplan, R., Gupta, N., Lubitz, S.A., Smith, N.L., Daya, M., Rich, S.S., Peyser, P.A., Palmer, N.D., Silverman, E.K., Arnett, D.K., Choi, S.H., Cupples, L. A., Reiner, A.P., Argos, M., Boerwinkle, E., Hou, Z., Auer, P.L., Bien, S.A., Hidalgo, B., Ellinor, P.T., Heckbert, S.R., Gabriel, S., Tracy, R.P., Avery, C., Yanek, L.R., Raffield, L.M., Papanicolaou, G.J., Fornage, M., Z��llner, S., Graff, M., Wilson, J.G., Smith, J.A., Weng, L.-C., Morrison, A.C., Rosen, J.D., Irvin, M.R., North, K.E., Kardia, S.L.R., Pankratz, N., Rotter, J.I., Blangero, J., McHugh, C.P., Jain, D., Kowalski, M.H., and Ganesh, S.K.

Abstract

Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhanced gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3- to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels. Impressively, even for extremely rare variants with minor allele count 86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~21,600 African-ancestry and ~21,700 Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC [p = 8.8x10-15] in African populations, rs11549407 with lower HGB [p = 1.5x10-12] and HCT [p = 8.8x10-10] in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of the TOPMed imputation reference panel for identification of novel rare variant associations not previously detected in similarly sized genome-wide studies of under-represented African and Hispanic/Latino populations.

Published
2019
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24. A functional splice variant associated with decreased asthma risk abolishes the ability of gasdermin B to induce epithelial cell pyroptosis

Author

Dahlin, A., Lu, Q., Himes, B.E., Randell, S.H., Israel, E., Kan, M., Weiss, S.T., Sun, M., Wu, A.C., Tantisira, K., Panganiban, R.A., Shore, S., Iribarren, C., Park, H.-R., Park, J.-A., Jorgenson, E., and Mitchel, J.A.

Abstract

Background: Genetic variants in the chromosomal region 17q21 are consistently associated with asthma. However, mechanistic studies have not yet linked any of the associated variants to a function that could influence asthma, and as a result, the identity of the asthma gene(s) remains elusive. Objectives: We sought to identify and characterize functional variants in the 17q21 locus. Methods: We used the Exome Aggregation Consortium browser to identify coding (amino acid–changing) variants in the 17q21 locus. We obtained asthma association measures for these variants in both the Genetic Epidemiology Research in Adult Health and Aging (GERA) cohort (16,274 cases and 38,269 matched controls) and the EVE Consortium study (5,303 asthma cases and 12,560 individuals). Gene expression and protein localization were determined by quantitative RT-PCR and fluorescence immunostaining, respectively. Molecular and cellular studies were performed to determine the functional effects of coding variants. Results: Two coding variants (rs2305480 and rs11078928) of the gasdermin B (GSDMB) gene in the 17q21 locus were associated with lower asthma risk in both GERA (odds ratio, 0.92; P = 1.01 × 10−6) and EVE (odds ratio, 0.85; joint PEVE = 1.31 × 10−13). In GERA, rs11078928 had a minor allele frequency (MAF) of 0.45 in unaffected (nonasthmatic) controls and 0.43 in asthma cases. For European Americans in EVE, the MAF of rs2305480 was 0.45 for controls and 0.39 for cases; for all EVE subjects, the MAF was 0.32 for controls and 0.27 for cases. GSDMB is highly expressed in differentiated airway epithelial cells, including the ciliated cells. We found that, when the GSDMB protein is cleaved by inflammatory caspase-1 to release its N-terminal fragment, potent pyroptotic cell death is induced. The splice variant rs11078928 deletes the entire exon 6, which encodes 13 amino acids in the critical N-terminus, and abolishes the pyroptotic activity of the GSDMB protein. Conclusions: Our study identified a functional asthma variant in the GSDMB gene of the 17q21 locus and implicates GSDMB-mediated epithelial cell pyroptosis in pathogenesis.

Published
2018
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32. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data

Author

Holmes, MV, Dale, CE, Zuccolo, L, Silverwood, RJ, Guo, Y, Ye, Z, Prieto-Merino, D, Dehghan, Abbas, Trompet, S, Wong, A, Cavadino, A, Drogan, D, Padmanabhan, S, Li, Shan, Yesupriya, A, Leusink, M, Sundstrom, J, Hubacek, JA, Pikhart, H, Swerdlow, DI, Panayiotou, AG, Borinskaya, SA, Finan, C, Shah, S, Kuchenbaecker, KB, Shah, T, Engmann, J, Folkersen, L, Eriksson, P, Ricceri, F, Melander, O, Sacerdote, C, Gamble, DM, Rayaprolu, S, Ross, OA, McLachlan, S, Vikhireva, O, Sluijs, Iris, Scott, RA, Adamkova, V, Flicker, L, van Bockxmeer, FM, Power, C, Marques-Vidal, P, Meade, T, Marmot, MG, Ferro, JM, Paulos-Pinheiro, S, Humphries, SE, Talmud, PJ, Leach, IM, Verweij, N (Niek), Linneberg, A, Skaaby, T, Doevendans, PA, Cramer, MJ, van der Harst, P, Klungel, OH, Dowling, NF, Dominiczak, AF, Kumari, M, Nicolaides, AN, Weikert, C, Boeing, H, Ebrahim, S, Gaunt, TR, Price, JF, Lannfelt, L, Peasey, A, Kubinova, R, Pajak, A, Malyutina, S, Voevoda, MI, Tamosiunas, A, Zee, AH, Norman, PE, Hankey, GJ, Bergmann, MM, Hofman, Bert, Franco Duran, OH, Cooper, J, Palmen, J, Spiering, W, Jong, PA, Kuh, D, Hardy, R, Uitterlinden, André, Ikram, Arfan, Ford, I, Hyppoenen, E, Almeida, OP, Wareham, NJ, Khaw, KT, Hamsten, A, Husemoen, LLN, Tjonneland, A, Tolstrup, JS, Rimm, E, Beulens, JWJ, Verschuren, WMM, Onland-Moret, NC, Hofker, MH, Wannamethee, SG, Whincup, PH, Morris, R, Vicente, AM, Watkins, H, Farrall, M, Jukema, JW, Meschia, J, Cupples, LA, Sharp, SJ, Fornage, M, Kooperberg, C, Lacroix, AZ, Dai, JY, Lanktree, MB, Siscovick, DS, Jorgenson, E, Spring, B, Coresh, J, Li, YR, Buxbaum, SG, Schreiner, PJ, Ellison, RC, Tsai, MY, Patel, SR, Redline, S, Johnson, AD, Hoogeveen, RC, Rotter, JI, Boerwinkle, E, de Bakker, PIW, Kivimaki, M, Asselbergs, FW, Sattar, N, Lawlor, DA, Whittaker, J, Smith, GD, Mukamal, K, Psaty, BM, Wilson, JG, Lange, LA, Hamidovic, A, Hingorani, AD, Nordestgaard, BG, Bobak, M, Leon, DA, Langenberg, C, Palmer, TM, Reiner, AP, Keating, BJ, Dudbridge, F, Casas, JP, Sub Pharmacotherapy, Theoretical, Pharmacoepidemiology and Clinical Pharmacology, Clinical Genetics, Epidemiology, Erasmus MC other, Internal Medicine, and Radiology & Nuclear Medicine

Subjects
Medicine(all), Alcohol dehydrogenase 1B gene, SDG 3 - Good Health and Well-being, Alcohol consumption, Alcohol abstinence, Clinical Medicine, Medical and Health Sciences
Abstract

Objective: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease. Design: Mendelian randomisation meta-analysis of 56 epidemiological studies. Participants: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers. Main outcome measures: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption. Results: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m2). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)). Conclusions: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.

Published
2014

34. Sib-pair analysis of the collaborative study on the genetics of alcoholism data set

Author

Jorgenson E, David Hinds, and Risch N

Subjects
Genetic Markers, Alcoholism, Genotype, Genetic Linkage, Humans, Genetic Predisposition to Disease, Genetic Testing, Lod Score, Software, Statistics, Nonparametric, Nuclear Family
Abstract

Nonparametric sib-pair analysis was performed on the Collaborative Study on the Genetics of Alcoholism data set. Concordant and discordant pair groups were examined using the ASPEX package of programs. Allele sharing and multipoint lod scores for six comparison groups were obtained. Sharing and lod score patterns were not consistent with a simple genetic interpretation.

Published
1999

45. Genome-Wide Meta-Analyses of Smoking Behaviors in African Americans

Author

Hamidovic, A, Bergen, A W, Wessel, J, Kasberger, J L, Petruzella, S, Thacker, E L, Nalls, M A, Tranah, G J, Ambrosone, C B, Arnett, D, Bandera, E V, Becker, L, Berndt, S I, Blot, W J, Broeckel, U, Buxbaum, S G, Caporaso, N, Chanock, S J, Deming, S L, Diver, W R, Eaton, C B, Fornage, M, Franceschini, N, Hernandez, D G, Hitsman, B, Ingles, S A, Kittles, R, Kolb, S, Kolonel, L N, Le Marchand, L, Lohman, K K, McKnight, B, Millikan, R C, Neslund-Dudas, C, Nyante, S, Press, M, Psaty, B M, Rodriguez-Gil, J L, Rybicki, B A, Singleton, A B, Snively, B, Stanford, J L, Strom, S S, Swan, G E, Thun, M J, Yamamura, Y, Yanek, L R, Ziegler, R G, Zonderman, A B, Jorgenson, E, Haiman, C A, Furberg, H, David, S.P., Chen, G.K., Brown, W.M., Kim, Y., Sung, Y., Becker, D.M., Bernstein, L., Casey, G., Evans, D.S., Evans, M.K., Harris, T.B., Henderson, B.E., Hu, J.J., Hunt, S.C., John, E.M., Liu, Y., Murphy, A., Rao, D.C., Redline, Susan, Signorello, Lisa B., Smoller, Jordan W., Spring, B., Taylor, K.D., Wilson, A.F., Witte, J.S., Yu, K., and Zheng, W.

Abstract

The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n=32 389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (\(\beta\)=0.040, s.e.=0.007, P=1.84 × 10\(^{−8}\)). This variant is present in the 5′-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.

Published
2012
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46. Resistance to Root‐Knot Nematode in Control of Root‐Knot Nematode‐Fusarium Wilt Disease Complex in Cotton1

Author

Hyer, A. H., Jorgenson, E. C., Garber, R. H., and Smith, S.

Abstract

To determine the efficacy of resistance to root.knot nematode in the control of the root‐knot nematode‐Fusarium wilt disease complex in cotton (Gossypium hirsutumL.), the response to natural infections with root knot nematode, Meloidogyne incognita(Kofoid and White) Chitwood, and wilt fungus, Fusarium oxysporumSchlecht. f. sp. vasinfectum(Atk.) Snyd. and Hans., was studied in four cottons that varied in resistance to both organisms. ‘Acala SJ‐l’ is susceptible to both organisms, ‘Auburn 56’ is tolerant to Fusariumand moderately resistant to root‐knot nematodes, ‘N6072’ is susceptible to Fusarium but highly resistant to root‐knot nematodes, and ‘Delcot 277’ is tolerant to Fusaziumbut susceptible to root‐knot nematodes. Control of Fusarium wilt and maintenance of stands were as good in N6072 as in Auburn 56 and Delcot 277. In unfumlgated plots, lint yield of N6072 exceeded those of Acala sJ‐1 and Delcot 277 by more than 60% and that of Auburn 56 by 18%. The superior performance of N6072 appea~ed to result from its ability to resist root‐knot nerdatodes, which helped prevent the develolpment of the wilt disease and subsequent stand and yield losses.

Published
1979
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48. Influence of Soil Fumigation on the Fusarium-Root-knot Nematode Disease Complex of Cotton in California

Author

Jorgenson, E. C., Hyer, A. H., Garber, R. H., and Smith, Shirley N.

Subjects
food and beverages, Article
Abstract

For control of the root-knot nematode, Meloidogyne incognita, and the pathogenic wilt fungus, Fusarium oxysporum, on cotton, soil fumigants were applied in the field at conventional and higher rates. Conventional rates suppressed Fusarium wilt but higher rates gave quicker early growth, better stands, less stand loss over the season, a lower percentage of plants infected with wilt, fewer plants with vascular discoloration, and fewer nematodes. The best treatment about doubled the yields of untreated controls in one experiment and quadrupled them in another.

Published
1978

49. Granular Nematicides as Adjuncts to Fumigants for Control of Cotton Root-knot Nematodes

Author

Jorgenson, E. C.

Subjects
food and beverages, Article
Abstract

Growth and yield of cotton were best with combinations of fumigants and organophosphate and carbamate nematicides. Organophosphates or carbamates used alone did not give season-long control of root-knot nematodes. Long-term control was poor because the temporary sublethal effects of these materials diminished soon enough lhat the nematodes could reproduce. The nematodes survived the treatments and a year of nonhost culture, and damaged a susceptible host crop 2 years after treatment. No such damage occurred in plots treated with fumigant, fumigant plus organophosphate, or fumigant plus carbamate. Treatment of seed and treatment of cotton, either in furrow at planting or sidedressing at midseason, with organophosphate and carbamate nematicides resulted in little or no yield increase, because nematode control was only minimal and temporary; or in a yield decrease, because the toxicity of the materials was manifested when nematode populations were low.

Published
1979

50. Nematicides and Nonconventional Soil Amendments in the Management of Root-Knot Nematode on Cotton

Author

Jorgenson, E. C.

Subjects
stomatognathic system, food and beverages, Article
Abstract

Granular and liquid commercial humates, with micronutrients, and a microbial fermentation product were compared in several combinations with nematicides for their effects on cotton lint yield and root-knot nematode suppression. Fumigant nematicides effectively reduced cotton root galling caused by root-knot nematodes, and cotton lint yields increased. Organophosphates and carbamates were not effective. Occasionally, cotton lint yields were increased or maintained with combination treatments o f humates, micronutrients, and a microbial fermentation product, but galling o f cotton roots by root-knot nematodes was usually not reduced by these treatments.

Published
1984

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