His primary scientific interests are in Generation R, Genome-wide association study, Pregnancy, Genetics and Cohort study. Henning Tiemeier interconnects Birth weight, Developmental psychology, Obstetrics, Pediatrics and Cohort in the investigation of issues within Generation R. His work in Genome-wide association study tackles topics such as Genetic association which are related to areas like Quantitative trait locus and Schizophrenia.
His Pregnancy research integrates issues from Endocrinology, Thyroid and Internal medicine. His study explores the link between Internal medicine and topics such as Depression that cross with problems in Clinical psychology and Anxiety. Henning Tiemeier focuses mostly in the field of Cohort study, narrowing it down to matters related to Psychiatry and, in some cases, Risk factor.
Henning Tiemeier focuses on Generation R, Pregnancy, Internal medicine, Clinical psychology and Developmental psychology. His Generation R research includes themes of Psychiatry, Child Behavior Checklist, Pediatrics and Cohort. His research in Cohort focuses on subjects like Demography, which are connected to Body mass index.
His Pregnancy research is multidisciplinary, relying on both Cohort study and Obstetrics. His Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology, Depression and Cardiology. His study on Early childhood is often connected to Association and Injury prevention as part of broader study in Developmental psychology.
His primary areas of investigation include Generation R, Clinical psychology, Pregnancy, Cohort and Offspring. His research integrates issues of Longitudinal study, Child Behavior Checklist, Diffusion MRI, Cognition and Mental health in his study of Generation R. His biological study spans a wide range of topics, including Genetic correlation, Autism and Epidemiology.
He combines subjects such as Brain morphometry, Cohort study, Physiology and Obstetrics with his study of Pregnancy. His Cohort study study integrates concerns from other disciplines, such as Public health and Confidence interval. His work deals with themes such as Population based, Demography and Developmental psychology, which intersect with Cohort.
His main research concerns Clinical psychology, Pregnancy, Generation R, Genetic association and Cohort. The Pregnancy study combines topics in areas such as Pediatrics and Cohort study. The various areas that he examines in his Generation R study include Brain size and Child Behavior Checklist.
His Genetic association study incorporates themes from Genome-wide association study, Disease and Genome. In his research, Genetic architecture is intimately related to Major depressive disorder, which falls under the overarching field of Genome-wide association study. His Cohort research focuses on Offspring and how it relates to Physiology, Intelligence quotient, Brain development and Population based.
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Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski.
Nature Genetics (2018)
The Rotterdam Study: Objectives and design update
Albert Hofman;Guy G. O. Brusselle;Sarwa Darwish Murad;Cornelia M. van Duijn.
European Journal of Epidemiology (2007)
Adverse childhood experiences and the risk of premature mortality
David W. Brown;Robert F. Anda;Henning Tiemeier;Vincent J. Felitti.
American Journal of Preventive Medicine (2009)
Genome-wide association study identifies 74 loci associated with educational attainment
Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Genome-wide meta-analyses identify multiple loci associated with smoking behavior
Helena Furberg;Yunjung Kim;Jennifer Dackor;Eric Boerwinkle.
Nature Genetics (2010)
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang.
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley.
Nature Genetics (2016)
The Generation R Study: design and cohort update 2010
Vincent W. V. Jaddoe;Cock M. van Duijn;Albert J. van der Heijden;Johan P. Mackenbach.
European Journal of Epidemiology (2010)
Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior.
Thorgeir E Thorgeirsson;Daniel F Gudbjartsson;Ida Surakka;Ida Surakka;Jacqueline M Vink.
Nature Genetics (2010)
Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence
Jeanne E Savage;Philip R Jansen;Philip R Jansen;Sven Stringer;Kyoko Watanabe.
Nature Genetics (2018)
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