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2018

Abdellaoui A et al. Predicting Loneliness with Polygenic Scores of Social, Psychological, and Psychiatric Traits. Genes, Brain and Behavior, 17(6):e12472

Abdellaoui A et al. Associations between Loneliness and Personality are Mostly Driven by a Genetic Association with Neuroticism. Journal of Personality, Accepted Article

Allegrini AG et al. Genetic vulnerability for smoking and cannabis use: associations with e-cigarette and water pipe use. Nicotine & Tobacco Research, Accepted Article

Auwera S van der et al. Genome-wide gene-environment interaction in depression: A systematic evaluation of candidate genes. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 177(1):40-49

Bartels M et al. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3–16 years from multiple raters in six cohorts in the EU-ACTION project. European Child & Adolescent Psychiatry, 27(9):1105-1121

Baselmans BML et al. Unraveling the Genetic and Environmental Relationship Between Well-Being and Depressive Symptoms Throughout the Lifespan. Frontiers in Psychiatry, 9:261

Baselmans BML & Bartels M. A genetic perspective on the relationship between eudaimonic -and hedonic well-being. Nature Scientific Reports, 8(1):14610

Beaumont RN et al. Genome-wide association study of offspring birth weight in 86,577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics. Human Molecular Genetics, 27(4):742-756

Bergen E van et al. Why do children read more? The influence of reading ability on voluntary reading practices. Journal of Child Psychology and Psychiatry, 59(11):1205-1214

Boomsma DI et al. An Extended Twin-Pedigree Study of Neuroticism in the Netherlands Twin Register. Behavior Genetics, 48(1):1-11

Brainstorm Consortium. Analysis of shared heritability in common disorders of the brain. Science, 360(6395):eaap8757

Colodro-Conde L et al. Association Between Population Density and Genetic Risk for Schizophrenia. JAMA Psychiatry, 75(9):901-910

Culverhouse RC et al. Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Molecular Psychiatry, 23(1):133-142

Demenais F et al. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nature Genetics, 50(1):42-53

Dongen J van et al. DNA methylation signatures of educational attainment. npj Science of Learning, 3(7)

Dongen J van et al. Genome-wide analysis of DNA methylation in buccal cells: a study of monozygotic twins and mQTLs. Epigenetics & Chromatin, 11(54)

Doornweerd S et al. Brain reward responses to food stimuli among female monozygotic twins discordant for BMI. Brain Imaging and Behavior, 12(3):718-727

Evangelou E et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nature Genetics, 50(10):1412-1425

Finnicum CT et al. Metataxonomic Analysis of Individuals at BMI Extremes and Monozygotic Twins Discordant for BMI. Twin Research and Human Genetics, 21(3):203-213

Gormley P et al. Common Variant Burden Contributes to the Familial Aggregation of Migraine in 1,589 Families. Neuron, 98(4):743-753

Gudmundsdottir V et al. Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study. PLOS ONE, 13(1):e0189886

Hagenbeek FA et al. Adult aggressive behavior in humans and biomarkers: a focus on lipids and methylation. Journal of Pediatric and Neonatal Individualized Medicine, 7(2):e070204

Hancock DB et al. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Molecular Psychiatry, 23(9):1-9

Hart LM 't et al. Blood metabolomic measures associate with present and future glycemic control in type 2 diabetes.  Journal of Clinical Endocrinology & Metabolism, 103(12):4569-4579

Heikkilä K et al. Triplets, birthweight, and handedness. PNAS, 115(23):6076-6081

Hysi PG et al. Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability. Nature Genetics, 50(5):652-656

Ip HF et al. Characterizing the Relation Between Expression QTLs and Complex Traits: Exploring the Role of Tissue Specificity. Behavior Genetics, 48(5):374-385

Jelenkovic A et al. Associations between birth size and later height from infancy through adulthood: An individual based pooled analysis of 28 twin cohorts participating in the CODATwins project. Early Human Development, 120:53-60

Jelenkovic A et al. Birth size and gestational age in opposite-sex twins as compared to same-sex twins: An individual-based pooled analysis of 21 cohorts. Nature Scientific Reports, Open Access

Jong S de et al. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder. Communications Biology, 1(163)

Kate M ten et al. White matter hyperintensities and vascular risk factors in monozygotic twins. Neurobiology of Aging, 66:40-48

Koenis MMG et al. Association between structural brain network efficiency and intelligence increases during adolescence. Human Brain Mapping, 39(2):822-836

Konijnenberg E et al. The EMIF-AD PreclinAD study: study design and baseline cohort overview. Alzheimer's Research & Therapy, 10(75)

Korpela K et al. Selective maternal seeding and environment shape the human gut microbiome. Genome Research, 28(4):561-568

Kreeke JA van de et al. Retinal and Cerebral Microvasculopathy: Relationships and Their Genetic Contributions. Investigative Ophthalmology & Visual Science, 59(12):5025-5031

Lee JJ et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50(8):1112-1121

Ligthart L et al. Are Migraine and Tension-Type Headache Genetically Related? An Investigation of Twin Family Data. Twin Research and Human Genetics, 21(2):112-118

Ligthart S et al. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. The American Journal of Human Genetics, 103(5):691-706

Lubke GH et al. Genetic and Environmental Contributions to the Development of Childhood Aggression. Developmental Psychology, 54(1):39-50

Luijk R et al. Genome-wide identification of directed gene networks using large-scale population genomics data. Nature Communications, 9:3097

Luijk R et al. Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation. Nature Communications, 9:3738

Mee DJ van der et al. Dopaminergic Genetic Variants and Voluntary Externally Paced Exercise Behavior. Medicine & Science in Sports & Exercise, 50(4):700-708

Mies GW et al. Polygenic risk for alcohol consumption and its association with alcohol-related phenotypes: Do stress and life satisfaction moderate these relationships?. Drug and Alcohol Dependence, 183:7-12

Minica CC et al. Extending Causality Tests with Genetic Instruments: An Integration of Mendelian Randomization with the Classical Twin Design. Behavior Genetics, 48(4):337-349

Minica CC et al. Genome-Wide Association Meta-Analysis of Age at First Cannabis Use. Addiction, 113(11):2073-2086

Molnos S et al. Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study. Diabetologia, 61(1):117-129

Odintsova VV et al. Establishing a Twin Register: An Invaluable Resource for (Behavior) Genetic, Epidemiological, Biomarker, and 'Omics' Studies. Twin Research and Human Genetics, 21(3):239-252

Ouwens KG et al. A characterization of post-zygotic mutations identified in monozygotic twins. Human Mutation, 39(10):1393-1401

Parmar P et al. Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults. EBioMedicine, 38:206-216

Pasman JA et al. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia. Nature Neuroscience, 21(9):1161-1170

Peyrot WJ et al. Does Childhood Trauma Moderate Polygenic Risk for Depression? A Meta-analysis of 5765 Subjects From the Psychiatric Genomics Consortium. Biological Psychiatry, 84(2):138-147

Piirtola M et al. Association of current and former smoking with body mass index: A study of smoking discordant twin pairs from 21 twin cohorts. PLOS One, 13(7)

Qi T et al. Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nature Communications, 9:2282

Sandanger TM et al. DNA methylation and associated gene expression in blood prior to lung cancer diagnosis in the Norwegian Women and Cancer cohort. Scientific Reports, 8(1):16714

Smit DJA et al. Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity. Human Brain Mapping, 39(11):4183-4195

Timmermans EJ et al. Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands. BMJ Open, 8:e021597

Treur JL et al. Testing familial transmission of smoking with two different research designs. Nicotine and Tobacco Research, 20(7):836-842

Visscher CM et al. Shared Genetics of Temporomandibular Disorder Pain and Neck Pain: Results of a Twin Study. Journal of Oral & Facial Pain & Headache, 32(2):107-112

Waage J et al. Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis. Nature Genetics, 50(8):1072-1080

Walters RK et al. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nature Neuroscience, 21(12):1656-1669

Wang J et al. Meta-analysis of human genome-microbiome association studies: the MiBioGen consortium initiative. Microbiome, 6(1):101

Ward-Caviness CK et al. DNA methylation age is associated with an altered hemostatic profile in a multi-ethnic meta-analysis. Blood, 132(17):1842-1850

Warrier V et al. Genome-wide meta-analysis of cognitive empathy: heritability, and correlates with sex, neuropsychiatric conditions and cognition. Molecular Psychiatry, 23(6):1402-1409

Wesseldijk LW et al. Risk factors for parental psychopathology: a study in families with children or adolescents with psychopathology. European Child & Adolescent Psychiatry, 27(12):1575-1584

Wesseldijk LW et al. Genetic and environmental influences on conduct and antisocial personality problems in childhood, adolescence, and adulthood. European Child & Adolescent Psychiatry, 27(9):1123-1132

Wesseldijk LW et al. Do Parental Psychiatric Symptoms Predict Outcome in Children With Psychiatric Disorders? A Naturalistic Clinical Study. Journal of the American Academy of Child & Adolescent Psychiatry, 57(9):669-677

Willems YE et al. Genetic and Environmental Influences on Self-Control: Assessing Self-Control with the ASEBA Self-Control Scale. Behavior Genetics, 48(2):135-146

Willems YE et al. The Relationship between Family Violence and Self-Control in Adolescence: A Multi-Level Meta-Analysis. International Journal of Environmental Research and Public Health, 15(11):2468

Wray NR et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics, 50(5):668-681

Yang Y et al. Molecular genetic overlap between migraine and major depressive disorder. European Journal of Human Genetics, 26(8):1202-1216

Yokoyama Y et al. Genetic and environmental factors affecting birth size variation: a pooled individual-based analysis of secular trends and global geographical differences using 26 twin cohorts. International Journal of Epidemiology, 47(4):1195-1206

Yousefi S et al. A SNP panel for identification of DNA and RNA specimens. BMC Genomics, 19(90)

Xue A et al. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications, 9(1):2941

Zilhão NR et al. Polygenic prediction of obsessive compulsive symptoms. Molecular Psychiatry, 23(2):168-169