ArticleNature genetics2009
Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.
Article in Nature genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 428 papers, 12 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
428 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- Alzheimer disease is (sometimes) highly heritable: Drivers of variation in heritability estimates for binary traits, a systematic review.PLoS genetics · 2025Pooled it
- Effect ofCardiovascular therapeutics · 2023Pooled it
- Genome-wide association study of periodontal pocketing in Finnish adults.BMC oral health · 2021Pooled it
- GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI.Science advances · 2019Pooled it
- A neurobiological pathway to smoking in adolescence: TTC12-ANKK1-DRD2 variants and reward response.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2018Pooled it
- The Effect of the Exon-3-Deleted Growth Hormone Receptor on Pegvisomant-Treated Acromegaly: A Systematic Review and Meta-Analysis.Neuroendocrinology · 2017Pooled it
- Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes.PloS one · 2017Pooled it
- Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis.Circulation. Cardiovascular genetics · 2016Pooled it
- Selecting instruments for Mendelian randomization in the wake of genome-wide association studies.International journal of epidemiology · 2016Pooled it
- Imputing Phenotypes for Genome-wide Association Studies.American journal of human genetics · 2016Pooled it
- Pleiotropic genes for metabolic syndrome and inflammation.Molecular genetics and metabolism · 2014Pooled it
- Identification of a genetic variant at 2q12.1 associated with blood pressure in East Asians by genome-wide scan including gene-environment interactions.BMC medical genetics · 2014Pooled it
- Metabolomic consequences of genetic inhibition of PCSK9 compared with statin treatment.Circulation · 2018Trial
- Pharmacokinetics and Pharmacogenomics of Bupropion in Three Different Formulations with Different Release Kinetics in Healthy Human Volunteers.The AAPS journal · 2017Trial
- Genetic determinants of age-related macular degeneration in diverse populations from the PAGE study.Investigative ophthalmology & visual science · 2014Trial
- Article
- Genetic variants affect diurnal glucose levels throughout the day.Nature communications · 2026Article
- Does Combining the STarT Back Tool With a Polygenic Risk Score for Chronic Low Back Pain Improve Prediction of Work Disability Over 2 Years?European journal of pain (London, England) · 2026Article
- Calibrating genome wide significance by minor allele frequency across three major populations.Scientific reports · 2025Article
- Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025Article
368 more citing papers are in PubMed but not listed here.
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25 authors.
Funding
Abstract
Genome-wide association studies (GWAS) of longitudinal birth cohorts enable joint investigation of environmental and genetic influences on complex traits. We report GWAS results for nine quantitative metabolic traits (triglycerides, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, body mass index, and systolic and diastolic blood pressure) in the Northern Finland Birth Cohort 1966 (NFBC1966), drawn from the most genetically isolated Finnish regions. We replicate most previously reported associations for these traits and identify nine new associations, several of which highlight genes with metabolic functions: high-density lipoprotein with NR1H3 (LXRA), low-density lipoprotein with AR and FADS1-FADS2, glucose with MTNR1B, and insulin with PANK1. Two of these new associations emerged after adjustment of results for body mass index. Gene-environment interaction analyses suggested additional associations, which will require validation in larger samples. The currently identified loci, together with quantified environmental exposures, explain little of the trait variation in NFBC1966. The association observed between low-density lipoprotein and an infrequent variant in AR suggests the potential of such a cohort for identifying associations with both common, low-impact and rarer, high-impact quantitative trait loci.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.