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2014

Aarts E et al. A solution to dependency: using multilevel analysis to accommodate nested data. Nature Neuroscience, 17(4):491-496

Abdellaoui A et al. No evidence for genetic assortative mating beyond that due to population stratification. Proceedings of the National Academy of Sciences, 111(40):E4137

Akker EB van den et al. Meta-Analysis on Blood Transcriptomic Studies Identifies Consistently Co-Expressed PPI Modules as Robust Markers of Human Ageing. Aging Cell, 13(2):216-225

Albrecht E et al. Telomere Length in Circulating Leukocytes is Associated with Lung Function and Disease. European Respiratory Journal, 43(4):983-992

Baumert J et al. No Evidence for Genome-Wide Interactions on Plasma Fibrinogen by Smoking, Alcohol Consumption and Body Mass Index: Results from Meta-Analyses of 80,607 Subjects. PLOS One, 9(12):e111156

Beek JHDA van et al. The association of alcohol intake with gamma-glutamyl transferase (GGT) levels: Evidence for correlated genetic effects. Drug and Alcohol Dependence, 134(1):99-105

Beek JHDA van et al. Explaining Individual Differences in Alcohol Intake in Adults: Evidence for Genetic and Cultural Transmission? Journal of Studies on Alcohol and Drugs, 75(2):201-210

Benke KS et al. A Genome-wide Association Meta-analysis of Preschool Internalizing Problems. Journal of the American Academy of Child & Adolescent Psychiatry, 53(6):667-676

Benyamin B et al. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Molecular Psychiatry, 19(2):253-258

Berg SM van den et al. Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory. Behavior Genetics, 44(4):295-313

Bohlken MM et al. Genes contributing to subcortical volumes and intellectual ability implicate the thalamus. Human Brain Mapping, 35(6):2632-2642

Boomsma DI et al. The Genome of the Netherlands: design, and project goals. European Journal of Human Genetics, 22(2):221-227

Boomsma DI. Commentary: The strength of multivariate twin studies: testing for shared and distinctive aetiology among different sets of behavioural traits – reflections on Lewis et al. (2014). Journal of Child Psychology and Psychiatry, 55(8):876-877

Brouwer RM et al. Heritability of brain volume change and its relation to intelligence. NeuroImage, 100:676-683

Brouwer RM et al. Genetic Associations Between Intelligence and Cortical Thickness Emerge at the Start of Puberty. Human Brain Mapping, 35(8):3760-3773

Byrne EM et al. Applying polygenic risk scores to postpartum depression. Archives of Women's Mental Health, 17(6):519-528

Cacioppo JT et al. Evolutionary mechanisms for loneliness. Cognition & Emotion, 28(1):3-21

Cousminer DL et al. Genome-wide association study of sexual maturation in males and females highlights a role for body mass and menarche loci in male puberty. Human Molecular Genetics, 23(16):4452-4464

Dane AD et al. Integrating Metabolomics Profiling Measurements Across Multiple Biobanks. Analytical Chemistry, 86(9):4110-4114

Deelen J et al. Genome-wide association meta-analysis of human longevity identifies a novel locus conferring survival beyond 90 years of age. Human Molecular Genetics, 23(16):4420-4432

Deelen J et al. Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'. European Journal of Human Genetics, 22(11):1321-1326

Derks EM et al. Genetic and environmental influences on the relationship between adult ADHD symptoms and self-reported problem drinking in 6024 Dutch twins. Psychological Medicine, 44(12):2673-2683

Dolan CV et al. GE Covariance Through Phenotype to Environment Transmission: An Assessment in Longitudinal Twin Data and Application to Childhood Anxiety. Behavior Genetics, 44(3):240-253

Dongen J van et al. The Contribution of the Functional IL6R Polymorphism rs2228145, eQTLs and Other Genome-Wide SNPs to the Heritability of Plasma sIL-6R Levels. Behavior Genetics, 44(4):368-382

Dongen J van et al. Epigenetic Variation in Monozygotic Twins: A Genome-Wide Analysis of DNA Methylation in Buccal Cells. Genes, 5(2):347-365

Ent van 't D et al. The use of fMRI to detect neural responses to cognitive interference and planning: Evidence for a contribution of task related changes in heart rate? Journal of Neuroscience Methods, 229:97-107

Franic S et al. Genetic and Environmental Stability of Intelligence in Childhood and Adolescence. Twin Research and Human Genetics, 17(03):151-163

Franic S et al. Three-and-a-Half-Factor Model? The Genetic and Environmental Structure of the CBCL/6–18 Internalizing Grouping. Behavior Genetics, 44(3):254-268

Franic S et al. The Big Five Personality Traits: Psychological Entities or Statistical Constructs? Behavior Genetics, 44(6):591-604

Geus EJC de et al. Genetics of Regular Exercise and Sedentary Behaviors. Twin Research and Human Genetics, 17(4):262-271

GoNL/Francioli LC et al. Whole-genome sequence variation, population structure and demographic history of the Dutch population. Nature Genetics, 46(8):818-825

Groen-Blokhuis MM et al. Attention-Deficit/Hyperactivity Disorder Polygenic Risk Scores Predict Attention Problems in a Population-Based Sample of Children. Journal of the American Academy of Child & Adolescent Psychiatry, 53(10):1123-1129

Guigas B et al. Sex-specific effects of naturally occurring variants in the dopamine receptor D2 locus on insulin secretion and Type 2 diabetes susceptibility. Diabetic Medicine, 31(8):1001-1008

Houtem CMHH van et al. Is dental phobia a blood-injection-injury phobia? Depression and Anxiety, 31(12):1026-1034

Huppertz C et al. A Twin-Sibling Study on the Relationship Between Exercise Attitudes and Exercise Behavior. Behavior Genetics, 44(1):45-55

Huppertz C et al. The Dopaminergic Reward System and Leisure Time Exercise Behavior: A Candidate Allele Study. BioMed Research International, 2014(Article ID 591717)

Jansen R et al. Sex differences in the human peripheral blood transcriptome. BMC Genomics, 15(33)

Kan KJ et al. Assessing Genetic Influences on Behavior: Informant and Context Dependency as Illustrated by the Analysis of Attention Problems. Behavior Genetics, 44(4):326-336

Kochunov P et al. Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. NeuroImage, Volume 95

Korhonen T et al. Role of Nicotine Dependence in the Association between the Dopamine Receptor Gene DRD3 and Major Depressive Disorder. PLOS One, 9(6):e98199

Kort JM de et al. Can GE-Covariance Originating in Phenotype to Environment Transmission Account for the Flynn Effect? Journal of Intelligence, 2(3):82-105

Ligthart L et al. Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders. Human Genetics, 133(2):173-186

Ligthart L et al. Comorbidity among multiple pain symptoms and anxious depression in a Dutch population sample. Journal of Pain, 15(9):945-955

Liu CT et al. Multi-ethnic fine-mapping of 14 central adiposity loci. Human Molecular Genetics, 23(17):4738-4744

Lubke GH et al. Genome-wide analyses of borderline personality features. Molecular Psychiatry, 19(8):923-929

Mathews CA et al. Partitioning the etiology of hoarding and obsessive–compulsive symptoms. Psychological Medicine, 44(13):2867-2876

Middeldorp CM et al. Child Care, Socio-economic Status and Problem Behavior: A Study of Gene–Environment Interaction in Young Dutch Twins. Behavior Genetics, 44(4):314-325

Milaneschi Y et al. The effect of FTO rs9939609 on major depression differs across MDD subtypes. Molecular Psychiatry, 19(9):960-962

Minica CC et al. MZ twin pairs or MZ singletons in population family-based GWAS? More power in pairs. Molecular Psychiatry, 19(11):1154-1155

Molenaar D & Dolan CV. Testing Systematic Genotype by Environment Interactions Using Item Level Data. Behavior Genetics, 44(3):212-231

Neijts M et al. Heritability of cardiac vagal control in 24-h heart rate variability recordings: Influence of ceiling effects at low heart rates. Psychophysiology, 51(10):1023-1036

Nivard MG et al. Further confirmation of the association between anxiety and CTNND2: replication in humans. Genes, Brain and Behavior, 13(2):195-201

Perry JRB et al. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche. Nature, 514(7520):92-97

Peyrot WJ et al. Effect of polygenic risk scores on depression in childhood trauma. The British Journal of Psychiatry, Advance Online Publication

Power RA et al. A recessive genetic model and runs of homozygosity in major depressive disorder. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 165(2):157-166

Riese H et al. Identifying Genetic Variants for Heart Rate Variability in the Acetylcholine Pathway. PLOS One, 9(11):e112476

Schutte NM et al. Genetic modification of the effects of exercise behavior on mental health. Frontiers in Psychiatry, 5(Article 64)

Slof-Op 't Landt MCT et al. Association study of the estrogen receptor I gene (ESR1) in anorexia nervosa and eating disorders: No replication found. International Journal of Eating Disorders, 47(2):211-214

Swagerman S et al. Development and heritability of subcortical brain volumes at age 9 and 12. Genes, Brain and Behavior, 13(8):733-742

Taylor AE et al. Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium. BMJ Open, 4(10):e006141

Taylor AE et al. Stratification by Smoking Status Reveals an Association of CHRNA5-A3-B4 Genotype with Body Mass Index in Never Smokers. PLOS Genetics, 10(12):e1004799

Thompson PM et al. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging and Behavior, 8(2):153-182

Treur JL et al. The Predictive Value of Smoking Expectancy and the Heritability of its Accuracy. Nicotine & Tobacco Research, 16(3):359-368

Vaarhorst AAM et al. A metabolomic profile is associated with the risk of incident coronary heart disease. American Heart Journal, 168(1):45-52

Verweij KJH et al. The Association of Genotype-Based Inbreeding Coefficient with a Range of Physical and Psychological Human Traits. PLOS One, 9(7):e103102

Vink JM et al. Polygenic risk scores for smoking: predictors for alcohol and cannabis use? Addiction, 109(7):1141-1151

Winkler TW et al. Quality control and conduct of genome-wide association meta-analyses. Nature Protocols, 9(5):1192-1212

Wood AR et al. Defining the role of common variation in the genomic and biological architecture of adult human height. Nature Genetics, 46(11):1173-1186

Wray NR et al. Research Review: Polygenic methods and their application to psychiatric traits. Journal of Child Psychology and Psychiatry, 55(10):1068-1087

Wright FA et al. Heritability and genomics of gene expression in peripheral blood. Nature Genetics, 46(5):430-437

Zeeuw EL de et al. Polygenic scores associated with educational attainment in adults predict educational achievement and ADHD symptoms in children. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 165(6):510-520

Zeeuw EL de et al. Do children perform and behave better at school when taught by same-gender teachers? Learning and Individual Differences, 36:152-156