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2016

Adams HHH et al. Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nature Neuroscience, 19(12):1569-1582

Amin N et al. Genetic variants in RBFOX3 are associated with sleep latency. European Journal of Human Genetics, 24(10):1488-1495

Antonakakis M et al. Genetic effects on source level evoked and induced oscillatory brain responses in a visual oddball task. Biological Psychology, 114:69-80

Barban N et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nature Genetics, 48(12):1462-1472

Beijsterveldt CEM van et al. Chorionicity and Heritability Estimates from Twin Studies: The Prenatal Environment of Twins and Their Resemblance Across a Large Number of Traits. Behavior Genetics, 46(3):304-314

Berg SM van den et al. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behavior Genetics, 46(2):170-182

Bovenberg J et al. Enhancing Biobank Participants’ Rights – From Paper to Portal. SCRIPTed, 13(1):70-82

Braber A den et al. Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs. Translational Psychiatry, 6(e731)

Chen J et al. Genetic Relationship between Schizophrenia and Nicotine Dependence. Scientific Reports, 6(25671)

Dekkers KF et al. Blood lipids influence DNA methylation in circulating cells. Genome Biology, 17(138)

Dolan CV et al. Testing Causal Effects of Maternal Smoking During Pregnancy on Offspring’s Externalizing and Internalizing Behavior. Behavior Genetics, 46(3):378-388

Dongen J van et al. Genetic and environmental influences interact with age and sex in shaping the human methylome. Nature Communications, 7(11115):1-13

Doornweerd S et al. Physical activity and dietary intake in BMI discordant identical twins. Obesity, 24(6):1349-1355

Ehret GB et al. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nature Genetics, 48(10):1171-1184

Eising E et al. Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas. Human Genetics, 135(4):425-439

Felix JF et al. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Human Molecular Genetics, 25(2):389-403

Forde NJ et al. TS-EUROTRAIN: A European-Wide Investigation and Training Network on the Etiology and Pathophysiology of Gilles de la Tourette Syndrome. Frontiers in Neuroscience, 10:Article 384

Franke B et al. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Neuroscience, 19(3):420-431

Gale CR et al. Pleiotropy between neuroticism and physical and mental health: findings from 108038 men and women in UK Biobank. Translational Psychiatry, 6:e791

Gormley P et al. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. Nature Genetics, 48(8):856-866

Gusev A et al. Integrative approaches for large-scale transcriptome-wide association studies. Nature Genetics, 48(3):245-252

Hagenbeek FA et al. Discovery of Biochemical Biomarkers for Aggression: A Role for Metabolomics in Psychiatry. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171(5):719-732

Hehir-Kwa JY et al. A high-quality human reference panel reveals the complexity and distribution of genomic structural variants. Nature Communications, Open

Hodkinson EC et al. Heritability of ECG Biomarkers in the Netherlands Twin Registry Measured from Holter ECGs. Frontiers in Physiology, 7(154)

Horikoshi M et al. Genome-wide associations for birth weight and correlations with adult disease. Nature, 538(7624):248-252

Howrigan DP et al. Genome-wide autozygosity is associated with lower general cognitive ability. Molecular Psychiatry, 21(6):837-843

Hugh-Jones D et al. Assortative mating on educational attainment leads to genetic spousal resemblance for causal alleles. Intelligence, 59:103-108

Huppertz C et al. Individual Differences in Exercise Behavior: Stability and Change in Genetic and Environmental Determinants From Age 7 to 18. Behavior Genetics, 46(5):665-679

Jansen R et al. Gene expression in major depressive disorder. Molecular Psychiatry, 21(3):339-347

Jelenkovic A et al. Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts. Scientific Reports, 6(Article number 28496):1-13

Jelenkovic A et al. Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994. eLIFE, 5(e20320)

Johnson EC et al. No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study. PLOS Genetics, 12(10):e1006343

Kettunen J et al. Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA. Nature Communications, 7(11122)

Knopik VS et al. The Importance of the Prenatal Environment in Behavioral Genetics: Introduction to Special Issue. Behavior Genetics, 46(3):281-285

Leeuwen van EM et al. Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels. Journal of Medical Genetics, 53(7):441-449

Li M et al. Transmission of human mtDNA heteroplasmy in the Genome of the Netherlands families: support for a variable-size bottleneck. Genome Research, 26(4):417-426

Lin BD et al. Causes of variation in the neutrophil-lymphocyte and platelet-lymphocyte ratios: a twin-family study. Biomarkers in Medicine, 10(10):1061-1072

Lin BD et al. The Genetic Overlap Between Hair and Eye Color. Twin Research and Human Genetics, 19(6):595-599

Lubke GH et al. A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171(7):948-957

Luo X et al. Does refining the phenotype improve replication rates? A review and replication of candidate gene studies on Major Depressive Disorder and Chronic Major Depressive Disorder. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171(2):215-236

Marceau K et al. The Prenatal Environment in Twin Studies: A Review on Chorionicity. Behavior Genetics, 46(3):286-303

Marioni RE et al. Genetic variants linked to education predict longevity. Proceedings of the National Academy of Sciences, 113(47):13366-13371

Mbarek H et al. Identification of Common Genetic Variants Influencing Spontaneous Dizygotic Twinning and Female Fertility. American Journal of Human Genetics, 98(5):898-908

Mbarek H et al. Two SNPs Associated With Spontaneous Dizygotic Twinning: Effect Sizes and How We Communicate Them. Twin Research and Human Genetics, 19(5):418-421

McCarthy S et al. A reference panel of 64,976 haplotypes for genotype imputation. Nature Genetics, 48(10):1279-1283

Middeldorp CM et al. A Genome-Wide Association Meta-Analysis of Attention-Deficit/Hyperactivity Disorder Symptoms in Population-Based Pediatric Cohorts. Journal of the American Academy of Child & Adolescent Psychiatry, 55(10):896-905

Milaneschi Y et al. Polygenic dissection of major depression clinical heterogeneity. Molecular Psychiatry, 21(4):516-522

Miller R et al. The CIRCORT database: Reference ranges and seasonal changes in diurnal salivary cortisol derived from a meta-dataset comprised of 15 field studies. Psychoneuroendocrinology, 73:16-23

Molenaar D et al. Evidence for Gender-Dependent Genotype by Environment Interaction in Adult Depression. Behavior Genetics, 46(1):59-71

Nederend I et al. Heritability of heart rate recovery and vagal rebound after exercise. European Journal of Applied Physiology, 116(11):2167-2176

Nieuwboer HA et al. GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes. American Journal of Human Genetics, 99(4):917-927

Nivard MG et al. Connecting the dots, genome-wide association studies in substance use. Molecular Psychiatry, 21(6):733-735

Nivard MG et al. Detection of gene–environment interaction in pedigree data using genome-wide genotypes. European Journal of Human Genetics, 24(12):1803-1809

Okbay A et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nature Genetics, 48(6):624-633

Okbay A et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature, 533(7604):539-542

Otowa T et al. Meta-analysis of genome-wide association studies of anxiety disorders. Molecular Psychiatry, 21(10):1391-1399

Pappa I et al. A genome-wide approach to children's aggressive behavior: The EAGLE consortium. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171(5):562-572

Peyrot WJ et al. Disease and Polygenic Architecture: Avoid Trio Design and Appropriately Account for Unscreened Control Subjects for Common Disease. American Journal of Human Genetics, 98(2):382-391

Pitsiladis YP et al. Athlome Project Consortium: a concerted effort to discover genomic and other "omic" markers of athletic performance. Physiological Genomics, 48(3):183-190

Porsch RM et al. Longitudinal heritability of childhood aggression. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171(5):697-707

Quteineh L et al. Association of CRTC1 polymorphisms with obesity markers in subjects from the general population with lifetime depression. Journal of Affective Disorders, 198:43-49

Ricaño-Ponce I et al. Refined mapping of autoimmune disease associated genetic variants with gene expression suggests an important role for non-coding RNAs. Journal of Autoimmunity, 68:62-74

Ried JS et al. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. Nature Communications, 7(Article 13357)

Roos L et al. Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs. Clinical Epigenetics, 8(7):1-16

Schumann G et al. KLB is associated with alcohol drinking, and its gene product B-Klotho is necessary for FGF21 regulation of alcohol preference. Proceedings of the National Academy of Sciences, 113(50):14372-14377

Schutte NM et al. Differences in Adolescent Physical Fitness: A Multivariate Approach and Meta-analysis. Behavior Genetics, 46(2):217-227

Schutte NM et al. Twin-sibling study and meta-analysis on the heritability of maximal oxygen consumption. Physiological Genomics, 48(3):210-219

Schwabe I et al. A New Approach to Handle Missing Covariate Data in Twin Research. Behavior Genetics, 46(4):583-595

Silventoinen K et al. Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study. The American Journal of Clinical Nutrition, 104(2):371-379

Silventoinen K et al. The genetic architecture of body mass index from infancy to adulthood modified by parental education. Obesity, Early View

Slieker RC et al. Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms. Genome Biology, 17:191

Smit DJA et al. Life-Span Development of Brain Network Integration Assessed with Phase Lag Index Connectivity and Minimum Spanning Tree Graphs. Brain Connectivity, 6(4):312-325

Spjuth O et al. Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research. European Journal of Human Genetics EJHG Open, 24(4):521-528

Stringer S et al. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Translational Psychiatry, Open Access(6):e769

Swagerman SC et al. The Computerized Neurocognitive Battery: Validation, aging effects, and heritability across cognitive domains. Neuropsychology, 30(1):53-64

Swagerman SC et al. No Evidence of Causal Effects of Blood Pressure on Cognition in the Population at Large. Twin Research and Human Genetics, 19(1):17-26

Treur JL et al. Associations between smoking and caffeine consumption in two European cohorts. Addiction, 111(6):1059-1068

Treur JL et al. Heritability of high sugar consumption through drinks and the genetic correlation with substance use. American Journal of Clinical Nutrition, 104(4):1144-1150

Tyrrell J et al. Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight. JAMA Journal of the American Medical Association, 315(11):1129-1140

Vinciotti V et al. Consistency of biological networks inferred from microarray and sequencing data. BMC Bioinformatics, 17(254):1-10

Vink JM et al. Differential gene expression patterns between smokers and non-smokers: cause or consequence? Addiction Biology, 21(2):460-468

Vries PS de et al. A meta-analysis of 120,246 individuals identifies 18 new loci for fibrinogen concentration. Human Molecular Genetics, 25(2):358-370

Ware JJ et al. Genome-Wide Meta-Analysis of Cotinine Levels in Cigarette Smokers Identifies Locus at 4q13.2. Nature Scientific Reports, 6(20092)

Weiss A et al. Personality Polygenes, Positive Affect, and Life Satisfaction. Twin Research and Human Genetics, 19(5):407-417

Wesseldijk LW et al. Spousal resemblance in psychopathology: A comparison of parents of children with and without psychopathology. European Psychiatry, 34:49-55

Yang Y et al. Genetic epidemiology of migraine and depression. Cephalalgia, 36(7):679-691

Yokoyama Y et al. Twin's Birth-Order Differences in Height and Body Mass Index From Birth to Old Age: A Pooled Study of 26 Twin Cohorts Participating in the CODATwins Project. Twin Research and Human Genetics, 19(2):112-124

Zanoni P et al. Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease. Science, 351(6278):1166-1171

Zeeuw E.L. de et al. Arithmetic, reading and writing performance has a strong genetic component: A study in primary school children. Learning and Individual Differences, 47:156-166

Zhao H et al. Gene-based pleiotropy across migraine with aura and migraine without aura patient groups. Cephalalgia, 36(7):648-657

Zilhão NR et al. Cross-Disorder Genetic Analysis of Tic Disorders, Obsessive–Compulsive, and Hoarding Symptoms. Frontiers in Psychiatry, 7(120)