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Your search keyword '"Madden, P A F"' showing total 7 results
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7 results on '"Madden, P A F"'

1. Genetic Effects Influencing Risk For Major Depressive Disorder In China And Europe

Author

on behalf of the CONVERGE consortium and Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bigdeli, T B, Ripke, S, Peterson, R E, Trzaskowski, M, Bacanu, S-A, Abdellaoui, A, Andlauer, T F M, Beekman, A T F, Berger, K, Blackwood, D H R, Boomsma, D I, Breen, G, Buttenschøn, H N, Byrne, E M, Cichon, S, Clarke, T-K, Couvy-Duchesne, B, Craddock, N, de Geus, E J C, Degenhardt, F, Dunn, E C, Edwards, A C, Fanous, A H, Forstner, A J, Frank, J, Gill, M, Gordon, S D, Grabe, H J, Hamilton, S P, Hardiman, O, Hayward, C, Heath, A C, Henders, A K, Herms, S, Hickie, I B, Hoffmann, P, Homuth, G, Hottenga, J-J, Ising, M, Jansen, R, Kloiber, S, Knowles, J A, Lang, M, Li, Q S, Lucae, S, MacIntyre, D J, Madden, P A F, Martin, N G, McGrath, P J, McGuffin, P, McIntosh, A M, Medland, S E, Mehta, D, Middeldorp, C M, Milaneschi, Y, Montgomery, G W, Mors, O, Müller-Myhsok, B, Nauck, M, Nyholt, D R, Nöthen, M M, Owen, M J, Penninx, B W J H, Pergadia, M L, Perlis, R H, Peyrot, W J, Porteous, D J, Potash, J B, Rice, J P, Rietschel, M, Riley, B P, Rivera, M, Schoevers, R, Schulze, T G, Shi, J, Shyn, S I, Smit, J H, Smoller, J W, Streit, F, Strohmaier, J, Teumer, A, Treutlein, J, Van der Auwera, S, van Grootheest, G, van Hemert, A M, Völzke, H, Webb, B T, Weissman, Myrna M., Wellmann, J, Willemsen, G, and Witt, S H

Published
2017
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2. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Stringer, S., Minică, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martínez, Iris, Gordon, Scott D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, Ian B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Mägi, Reedik, McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, Josep Antoni, Richarte, Vanesa, Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I, Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribasés, M., Kaprio, J., Boks, M. P., Snieder, Harold, Spector, T., Munafò, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I, Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., Vink, J. M., and Universitat Autònoma de Barcelona

Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N =32 330) and four replication samples (N =5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P

Published
2016

3. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Stringer, S, Minică, C C, Verweij, K J H, Mbarek, H, Bernard, M, Derringer, J, van Eijk, K R, Isen, J D, Loukola, A, Maciejewski, D F, Mihailov, E, van der Most, P J, Sánchez-Mora, C, Roos, L, Sherva, R, Walters, R, Ware, J J, Abdellaoui, A, Bigdeli, T B, Branje, S J T, Brown, S A, Bruinenberg, M, Casas, M, Esko, T, Garcia-Martinez, I, Gordon, S D, Harris, J M, Hartman, C A, Henders, A K, Heath, A C, Hickie, Ian B, Hickman, M, Hopfer, C J, Hottenga, J J, Huizink, A C, Irons, D E, Kahn, R S, Korhonen, T, Kranzler, H R, Krauter, K, van Lier, P A C, Lubke, G H, Madden, P A F, Mägi, R, McGue, M K, Medland, S E, Meeus, W H J, Miller, M B, Montgomery, G W, Nivard, M G, Nolte, I M, Oldehinkel, A J, Pausova, Z, Qaiser, B, Quaye, L, Ramos-Quiroga, J A, Richarte, V, Rose, R J, Shin, J, Stallings, M C, Stiby, A I, Wall, T L, Wright, M J, Koot, H M, Paus, T, Hewitt, J K, Ribasés, M, Kaprio, J, Boks, M P, Snieder, Harold, Spector, T, Munafò, M R, Metspalu, A, Gelernter, J, Boomsma, D I, Iacono, W G, Martin, N G, Gillespie, N A, Derks, E M, Vink, J M, and Universitat Autònoma de Barcelona

Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N =32 330) and four replication samples (N =5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P

Published
2016

4. Genetic architecture of smoking behavior: a study of Finnish adult twins

Author

Broms, U., Karri Silventoinen, Madden, P. A. F., Heath, A. C., and Jaakko Kaprio

Subjects
Male, Chi-Square Distribution, Models, Genetic, Health Behavior, Smoking, Age Factors, Obstetrics and Gynecology, Middle Aged, Surveys and Questionnaires, Pediatrics, Perinatology and Child Health, Humans, Female, Smoking Cessation, Genetics (clinical), Finland
Abstract

Both genetic and environmental factors affect smoking initiation and maintenance, but less is known about the genetic architecture of various other smoking-related behaviors. The aim of this study is to examine the genetic architecture of smoking behavior in a large twin cohort. Questionnaires with an extensive smoking history section were mailed to same-sex adult twins of the Finnish twin cohort. The final study population included 2923 monozygotic and 6018 dizygotic twin pairs aged 24 to 88 years. Two-stage bivariate genetic modeling of age at initiation with amount smoked (less than 20 cigarettes per day vs. 20 or more) and age at initiation with smoking cessation was done by using the Mx statistical package. For men the heritability estimate for age at initiation was .59 (95% confidence interval [CI] .49–.69), for amount smoked .54 (95% CI .45–.62) and for smoking cessation .58 (95% CI .50–.65). For women the heritability estimates were .36 (95% CI .28–.43), .61 (95% CI .46–.70) and .50 (95% CI .39–.60), respectively. The genetic correlations between age at initiation and amount smoked or smoking cessation were at most .22 in magnitude, indicating that genetic influences in age at initiation accounted for at most about 4% of the genetic factors in amount smoked or in cessation. Genetic factors are important in amount smoked and smoking cessation and they are largely independent of genetic influences on age at initiation. This has implications for defining phenotypes in searches for genes underlying smoking behaviors.

Published
2006

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