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The trans-ancestral genomic architecture of glycemic traits.
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In: Nature genetics, vol. 53, no. 6, pp. 840-860 (2021)
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Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry.
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In: Molecular psychiatry, vol 25, iss 10 (2020)
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Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry.
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In: Molecular psychiatry, vol 25, iss 10 (2020)
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Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence.
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In: Nature genetics, vol 50, iss 7 (2018)
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Global genetic differentiation of complex traits shaped by natural selection in humans.
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In: Nature communications, vol. 9, no. 1, pp. 1865 (2018)
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GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium.
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In: Molecular psychiatry, vol 22, iss 3 (2017)
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Functional annotation signatures of disease susceptibility loci improve SNP association analysis.
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Genome-wide association analyses of child genotype effects and parent-of-origin effects in specific language impairment.
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In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2014)
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A systemic sclerosis and systemic lupus erythematosus pan-meta-GWAS reveals new shared susceptibility loci
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Identification of novel genetic markers associated with clinical phenotypes of systemic sclerosis through a genome-wide association strategy.
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In: PLoS genetics, vol 7, iss 7 (2011)
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Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.
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Sabatti, C; Service, SK; Hartikainen, AL; Pouta, A; Ripatti, S; Brodsky, J; Jones, CG; Zaitlen, NA; Varilo, T; Kaakinen, M; Sovio, U; Ruokonen, A; Laitinen, J; Jakkula, E; Coin, L; Hoggart, C; Collins, A; Turunen, H; Gabriel, S; Elliot, P; McCarthy, MI; Daly, MJ; Järvelin, MR; Freimer, NB; Peltonen, L
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In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2009)
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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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Keyword:
Adult; Blood Pressure; Body Mass Index; Cohort Studies; Finland; Founder Effect; Genome-Wide Association Study; Genotype; Geography; Heritable; Humans; Linguistics; Metabolic Networks and Pathways; Parturition; Phenotype; Polymorphism; Population Dynamics; Population Groups; Quantitative Trait; Quantitative Trait Loci; Reproducibility of Results; Single Nucleotide
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URL: https://doi.org/10.1038/ng.271
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