Author: Raymond Noordam

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Preprints

Ninety-nine independent genetic loci influencing general cognitive function include genes associated with brain health and structure (N = 280,360)

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Genetic analysis of over one million people identifies 535 novel loci for blood pressure.

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Genomic analyses for age at menarche identify 389 independent signals and indicate BMI-independent effects of puberty timing on cancer susceptibility

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Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

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  • In genetic and genomic medicine: 64
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The Trans-Ancestral Genomic Architecture of Glycaemic Traits

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Multi-ancestry GWAS of the electrocardiographic PR interval identifies 210 loci underlying cardiac conduction

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Multiethnic Meta-analysis Identifies New Loci for Pulmonary Function

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Genetic insights into the biological mechanisms governing human ovarian ageing

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Multi-ancestry analysis of gene-sleep interactions in 126,926 individuals identifies multiple novel blood lipid loci that contribute to our understanding of sleep-associated adverse blood lipid profile

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Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles

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  • In genetic and genomic medicine: 279
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Role of Rare and Low Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels

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Apolipoprotein E genotype, lifestyle and coronary artery disease: gene-environment interaction analyses in the UK Biobank population

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Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure

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Lifestyle-intervention-induced reduction of abdominal fat is reflected by a decreased circulating glycerol level and an increased HDL diameter

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Investigating the relationships between unfavorable sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses

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Associations between outdoor temperature and bright sunlight with metabolites in two population-based European cohorts

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Lifestyle Risk Score for aggregating multiple lifestyle factors: Handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions

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