rs1059611 - LPL
Magnitude 2.2 · 7 studies on file
Reported associations
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Gene-by-environment interactions modulate the infant gut microbiota in asthma and atopy. - The Journal of allergy and clinical immunology (2025) · Stickley SA, Fang ZY, Ambalavanan A, Zhang Y, Zacharias AM, Petersen C, Dai D, Azad MB, Brook JR, Mandhane PJ, Simons E, Moraes TJ, Surette MG, Turvey SE, Subbarao P, Duan Q · PubMed 40187613
Gut microbiota has been associated with health and susceptibility to childhood diseases, including asthma and allergies. However, the genomic factors contributing to interindividual variations in gut microbiota remain poorly understood. We sought to integrate host genomics with early-life exposures to investigate main and interaction effects on gut microbiota during the first year of life. In addition, we identified gut microbes associated with childhood respiratory (asthma, wheeze) and atopic (atopic dermatitis, food/inhalant sensitization) outcomes. We leveraged microbiome data from infant stool at ages 3 months (N = 779) and 1 year (N = 770) from the CHILD Cohort Study. We identified microbial taxa and co-occurring network clusters associated with asthma and atopy by age 5 years. Genome
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Genetic Studies of Metabolomics Change After a Liquid Meal Illuminate Novel Pathways for Glucose and Lipid Metabolism. - Diabetes (2022) · Li-Gao R, Hughes DA, van Klinken JB, de Mutsert R, Rosendaal FR, Mook-Kanamori DO, Timpson NJ, Willems van Dijk K · PubMed 34610981
Humans spend the greater part of the day in a postprandial state. However, the genetic basis of postprandial blood measures is relatively uncharted territory. We examined the genetics of variation in concentrations of postprandial metabolites ( = 150 min) in response to a liquid mixed meal through genome-wide association studies (GWAS) performed in the Netherlands Epidemiology of Obesity (NEO) study ( = 5,705). The metabolite response GWAS identified an association between glucose change and rs10830963:G in the melatonin receptor 1B (β [SE] -0.23 [0.03], = 2.15 × 10 ). In addition, the locus led by rs458741:C showed strong associations with extremely large VLDL (XXLVLDL) particle response (XXLVLDL total cholesterol: β [SE] 0.17 [0.03], = 5.76 × 10 ; XXLVLDL cholesterol ester: β [SE] 0
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Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. - Nature genetics (2019) · Kanai M, Akiyama M, Takahashi A, Matoba N, Momozawa Y, Ikeda M, Iwata N, Ikegawa S, Hirata M, Matsuda K, Kubo M, Okada Y, Kamatani Y · PubMed 29403010
Clinical measurements can be viewed as useful intermediate phenotypes to promote understanding of complex human diseases. To acquire comprehensive insights into the underlying genetics, here we conducted a genome-wide association study (GWAS) of 58 quantitative traits in 162,255 Japanese individuals. Overall, we identified 1,407 trait-associated loci (P < 5.0 × 10 ), 679 of which were novel. By incorporating 32 additional GWAS results for complex diseases and traits in Japanese individuals, we further highlighted pleiotropy, genetic correlations, and cell-type specificity across quantitative traits and diseases, which substantially expands the current understanding of the associated genetics and biology. This study identified both shared polygenic effects and cell-type specificity
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Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci - Unknown journal (n.d.) · Unknown authors · PubMed 34503513
ABSTRACT: Background Genetic, lifestyle, and environmental factors can lead to perturbations in circulating lipid levels and increase the risk of cardiovascular and metabolic diseases. However, how changes in individual lipid species contribute to disease risk is often unclear. Moreover, little is known about the role of lipids on cardiovascular disease in Pakistan, a population historically underrepresented in cardiovascular studies. Methods We characterised the genetic architecture of the human blood lipidome in 5662 hospital controls from the Pakistan Risk of Myocardial Infarction Study (PROMIS) and 13,814 healthy British blood donors from the INTERVAL study. We applied a candidate causal gene prioritisation tool to link the genetic variants associated with each lipid to the most likely
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A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population - Unknown journal (n.d.) · Unknown authors · PubMed 38201907
ABSTRACT: The purpose of this study was to investigate genetic factors associated with metabolic syndrome (MetS) by conducting a large-scale genome-wide association study (GWAS) in Taiwan, addressing the limited data on Asian populations compared to Western populations. Using data from the Taiwan Biobank, comprehensive clinical and genetic information from 107,230 Taiwanese individuals was analyzed. Genotyping data from the TWB1.0 and TWB2.0 chips, including over 650,000 single nucleotide polymorphisms (SNPs), were utilized. Genotype imputation using the 1000 Genomes Project was performed, resulting in more than 9 million SNPs. MetS was defined based on a modified version of the Adult Treatment Panel III criteria. Among all participants (mean age: 50 years), 23% met the MetS definition. GW
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Forty-Three Loci Associated with Plasma Lipoprotein Size, Concentration, and Cholesterol Content in Genome-Wide Analysis - Unknown journal (n.d.) · Unknown authors · PubMed 19936222
ABSTRACT: While conventional LDL-C, HDL-C, and triglyceride measurements reflect aggregate properties of plasma lipoprotein fractions, NMR-based measurements more accurately reflect lipoprotein particle concentrations according to class (LDL, HDL, and VLDL) and particle size (small, medium, and large). The concentrations of these lipoprotein sub-fractions may be related to risk of cardiovascular disease and related metabolic disorders. We performed a genome-wide association study of 17 lipoprotein measures determined by NMR together with LDL-C, HDL-C, triglycerides, ApoA1, and ApoB in 17,296 women from the Women's Genome Health Study (WGHS). Among 36 loci with genome-wide significance (P<5×10−8) in primary and secondary analysis, ten (PCCB/STAG1 (3q22.3), GMPR/MYLIP (6p22.3), BTNL2 (6p2
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Genome-wide characterization of circulating metabolic biomarkers - Unknown journal (n.d.) · Unknown authors · PubMed 38448586
ABSTRACT: Genome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases. Here we present a genome-wide association study for 233 circulating metabolic traits quantified by nuclear magnetic resonance spectroscopy in up to 136,016 participants from 33 cohorts. We identify more than 400 independent loci and assign probable causal genes at two-thirds of these using manual curation of plausible biological candidates. We highlight the importance of sample and participant characteristics that can have significant effects on genetic associa
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