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1. Full Text Associations between smoking and caffeine consumption in two European cohorts
by Treur, J.L and Taylor, A.E and Ware, J.J and McMahon, G and Hottenga, J.J and Baselmans, B.M.L and Willemsen, G and Boomsma, D.I and Munafò, M.R and Vink, J.M
Addiction (Abingdon, England), ISSN 0965-2140, 2016, Volume 111, Issue 6, pp. 1059 - 1068
caffeine | ALSPAC | NTR | coffee | smoking | Coffee | Caffeine | Smoking | Life Sciences & Biomedicine | Substance Abuse | Psychiatry | Science & Technology | Europe | Humans | Middle Aged | Netherlands - epidemiology | Male | Carbonated Beverages - statistics & numerical data | Young Adult | Tea | Smoking - epidemiology | Adult | Female | Surveys and Questionnaires | United Kingdom - epidemiology | Cohort Studies | Energy Drinks - statistics & numerical data | Tobacco Smoking | Analysis | Comparative analysis | Index Medicus | Netherlands | Research Report | Research Reports
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2. Full Text Population structure, migration, and diversifying selection in the Netherlands
by Abdellaoui, A and Hottenga, J.J and de Knijff, P and Nivard, M.G and Xiao, X and Scheet, P and Brooks, A and Ehli, E.A and Hu, Y and Davies, G.E and Hudziak, J.J and Sullivan, P.F and van Beijsterveldt, C.E.M and Willemsen, G and de Geus, E.J.C and Penninx, B.W.J.H and Boomsma, D.I
European journal of human genetics : EJHG, ISSN 1018-4813, 2013, Volume 21, Issue 11, pp. 1277 - 1285
migration | Netherlands | population structure | diversifying selection | linkage disequilibrium | PCA | Biochemistry & Molecular Biology | Genetics & Heredity | Life Sciences & Biomedicine | Science & Technology | Geography | Genetics, Population | Confidence Intervals | Genome-Wide Association Study | Humans | Selection, Genetic | Linkage Disequilibrium - genetics | Genome, Human - genetics | Haplotypes - genetics | Polymorphism, Single Nucleotide - genetics | Genetic Variation - genetics | Human Migration | Principal Component Analysis | Genealogy and Heraldry | Obesity | Subpopulations | Linkage disequilibrium | Genes | Migration | Color | Population structure | Principal components analysis | Genomes | Single-nucleotide polymorphism | Genetic diversity | Founder effect | Population genetics | Genetic analysis | Pruning | Population | Genetics | Diabetes | Evolution & development | Index Medicus | Medicin och hälsovetenskap
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3. Full Text Polygenic risk scores for schizophrenia and bipolar disorder predict creativity
by Power, R.A and Steinberg, S and Bjornsdottir, G and Rietveld, C.A and Abdellaoui, A and Nivard, M.M and Johannesson, M and Galesloot, T.E and Hottenga, J.J and Willemsen, G and Cesarini, D and Benjamin, D.J and Magnusson, P.K and Ullen, F and Tiemeier, H and Hofman, A and Rooij, F.J. van and Walters, G.B and Sigurdsson, E and Thorgeirsson, T.E and Ingason, A and Helgason, A and Kong, A and Kiemeney, B and Koellinger, P and Boomsma, D.I and Gudbjartsson, D and Stefansson, H and Stefansson, K
Nature neuroscience, ISSN 1097-6256, 2015, Volume 18, Issue 7, pp. 953 - 955
Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Iceland - epidemiology | Multifactorial Inheritance - genetics | Genetic Predisposition to Disease - genetics | Humans | Middle Aged | Netherlands - epidemiology | Male | Risk | Sweden - epidemiology | Bipolar Disorder - genetics | Creativity | Psychotic Disorders - genetics | Schizophrenia - genetics | Female | Registries | Cohort Studies | Schizophrenia | Bipolar disorder | Genetic aspects | Risk factors | Index Medicus | Medicin och hälsovetenskap
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4. Full Text Polygenic dissection of major depression clinical heterogeneity
by Milaneschi, Y and Winkelman, F and Peyrot, W and Abdellaoui, A and Willemsen, G and Hottenga, J.J and Jansen, R and Mbarek, H and Dehghan, A and Lu, C and Boomsma, D.I and Penninx, B.W.J.H and CHARGE Inflammation Working Grp and CHARGE inflammation working group
Molecular psychiatry, ISSN 1359-4184, 2016, Volume 21, Issue 4, pp. 516 - 522
Biochemistry & Molecular Biology | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Body Mass Index | Bipolar Disorder - metabolism | Multifactorial Inheritance - genetics | Genetic Predisposition to Disease | Meta-Analysis as Topic | Genetic Association Studies | Depressive Disorder, Major - metabolism | Humans | Middle Aged | Risk Factors | Male | Bipolar Disorder - genetics | Triglycerides - metabolism | C-Reactive Protein - metabolism | Depressive Disorder, Major - genetics | Adult | Female | Polymorphism, Single Nucleotide | Physiological aspects | Genetic aspects | Research | Gene expression | Major depressive disorder | Index Medicus | genetics | Major depression | heterogeneity | polygenic | typical and atypical
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5. Full Text Illicit drug use and the genetic overlap with cannabis use
by Vink, J.M and Veul, L and Abdellaoui, A and Hottenga, J.J and Boomsma, D.I and Verweij, K.J.H
Drug and alcohol dependence, ISSN 0376-8716, 2020, Volume 213
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6. Full Text Associations between smoking and caffeine consumption in two European cohorts
by Treur, J.L and Taylor, A.E and Ware, J.J and McMahon, G and Hottenga, J.J and Baselmans, B.M.L and Willemsen, G and Boomsma, D.I and Munafò, M and Vink, J.M
Addiction (Abingdon, England), ISSN 0965-2140, 2016, Volume 111, Issue 6, pp. 1059 - 1068
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7. Full Text Effect of polygenic risk scores on depression in childhood trauma
by Peyrot, Wouter J and Milaneschi, Yuri and Abdellaoui, Abdel and Sullivan, Patrick F and Hottenga, Jouke J and Boomsma, Dorret I and Penninx, Brenda W. J. H
British journal of psychiatry, ISSN 0007-1250, 08/2014, Volume 205, Issue 2, pp. 113 - 119
Papers | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Miscellaneous | Psychology. Psychoanalysis. Psychiatry | Adult and adolescent clinical studies | Psychopathology. Psychiatry | Mood disorders | Biological and medical sciences | Depression | Medical sciences | Child Abuse - statistics & numerical data | Genetic Predisposition to Disease | Risk Assessment | Humans | Middle Aged | Netherlands - epidemiology | Risk Factors | Male | Depressive Disorder, Major - epidemiology | Gene-Environment Interaction | Case-Control Studies | Depressive Disorder, Major - genetics | Adult | Female | Child | Longitudinal Studies | Adult Survivors of Child Abuse - statistics & numerical data | Childhood abuse | Depressive personality disorders | Candidates | At risk | Serotonin | Mental disorders | Genes | Genomics | Mental health | Schizophrenia | Bipolar disorder | Genomes | Mental depression | Medical diagnosis | Trauma | Emotional abuse | Sex crimes | Studies | Anxieties | Children | Health surveys | Power | Depressive Disorders | Rape | Survivors | Neglect | Males | Child Abuse | Emotional Abuse | Biochemical Markers | Predisposition | Genetics | Adults | Females | Dutch | Index Medicus | Medicin och hälsovetenskap
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8. Full Text Gene expression in major depressive disorder
by Jansen, R and Penninx, B. W. J. H and Madar, V and Xia, K and Milaneschi, Y and Hottenga, J. J and Hammerschlag, A. R and Beekman, A and van der Wee, N and Smit, J. H and Brooks, A. I and Tischfield, J and Posthuma, D and Schoevers, R and van Grootheest, G and Willemsen, G and de Geus, E. J and Boomsma, D. I and Wright, F. A and Zou, F and Sun, W and Sullivan, P. F
Molecular psychiatry, ISSN 1359-4184, 03/2016, Volume 21, Issue 3, pp. 339 - 347
C-REACTIVE PROTEIN | IMMUNE-SYSTEM | METAANALYSIS | MOOD DISORDERS | FRONTAL-CORTEX | PERIPHERAL-BLOOD | KILLER-CELL ACTIVITY | BIPOLAR DISORDER | BRAIN | GENOME-WIDE ASSOCIATION | Biochemistry & Molecular Biology | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Genetic Predisposition to Disease - genetics | Genome-Wide Association Study | Cross-Sectional Studies | Interleukin-6 - genetics | Gene Expression - genetics | Gene Expression Regulation - genetics | Humans | Middle Aged | Male | Signal Transduction - genetics | Depressive Disorder, Major - genetics | Polymorphism, Single Nucleotide - genetics | Adult | Anxiety Disorders - genetics | Female | Depressive Disorder, Major - diagnosis | Killer Cells, Natural - metabolism | Interleukin-6 - metabolism | Longitudinal Studies | Care and treatment | Genome-wide association studies | Usage | Antidepressants | Dosage and administration | Research | Gene expression | Major depressive disorder | Risk factors | Index Medicus | Medicin och hälsovetenskap
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9. Full Text Smoking and caffeine consumption: A genetic analysis of their association
by Treur, J.L and Taylor, A.E and Ware, J.J and Nivard, M.G and Neale, M.C and McMahon, G and Hottenga, J.J and Baselmans, B.M.L and Boomsma, D.I and Munafò, M.R and Vink, J.M
Addiction biology, ISSN 1355-6215, 2017, Volume 22, Issue 4, pp. 1090 - 1102
caffeine | ALSPAC | Mendelian randomization | LD‐score regression | twin modelling | smoking | LD-score regression | Biochemistry & Molecular Biology | Life Sciences & Biomedicine | Substance Abuse | Science & Technology | Twins - genetics | Caffeine - administration & dosage | Humans | Netherlands - epidemiology | Risk Factors | Male | Smoking - genetics | Twins - statistics & numerical data | Genome-Wide Association Study - statistics & numerical data | Registries - statistics & numerical data | Smoking - epidemiology | Adult | Female | Surveys and Questionnaires | Central Nervous System Stimulants - administration & dosage | Longitudinal Studies | Genetic research | Disease susceptibility | Genetic aspects | Analysis | Smoking | Caffeine | Consumption | Statistical analysis | Weaning | Consumers | Genomes | Environmental factors | Coffee | Genetic analysis | Children | Genetic factors | Twins | Index Medicus | Human Genetic Study | Original
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10. Full Text Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned
by Wray, N.R and Pergadia, M.L and Blackwood, D.H and Penninx, B.W.J.H and Gordon, S.D and Nyholt and Ripke, S and MacIntyre, D.J and McGhee, K.A and Maclean, A. W and Smit, J.H and Hottenga, J.J and Willemsen, G and Middeldorp, C.M and de Geus, E.J.C and Lewis, C.M and McGuffin, P and Hickie, I.B and van den Oord, E.J.C.G and Liu, J.Z and Macgregor, S and McEvoy, B.P and Byrne, E.M and Medland, S.E and Statham, D.J and Henders, A.K and Heath, A.C and Montgomery, G.W and Martin, N.G and Boomsma, D.I and Madden, P.A.F and Sullivan, P.F
Molecular psychiatry, ISSN 1359-4184, 2012, Volume 17, Issue 1, pp. 36 - 48
ADCY3 | GAL | CACNA1C | depression | major depressive disorder | genome-wide association study | Biochemistry & Molecular Biology | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Psychology. Psychoanalysis. Psychiatry | Adult and adolescent clinical studies | Psychopathology. Psychiatry | Mood disorders | Biological and medical sciences | Depression | Medical sciences | Genetic Predisposition to Disease - genetics | Genome-Wide Association Study | Humans | Middle Aged | Genotype | Male | Young Adult | Calcium Channels, L-Type - genetics | Depressive Disorder, Major - genetics | Adolescent | Sex Factors | Polymorphism, Single Nucleotide - genetics | Adult | Female | Adenylyl Cyclases - genetics | Galanin - genetics | Odds Ratio | Principal Component Analysis | Care and treatment | Schizophrenia | Genetic aspects | Diagnosis | Single nucleotide polymorphisms | Identification and classification | Major depressive disorder | Index Medicus | Adenylate cyclase | Liability | Reviews | Affective disorders | Galanin | Mental disorders | Etiology | Bipolar disorder | Single-nucleotide polymorphism | Risk factors | Original | Medicin och hälsovetenskap
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