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McKeigue, P.

Publications and source records attributed to McKeigue, P..

2 recordsLinked to original sources

Genetic trans-effects link triglyceride-rich lipoproteins to blood pressure

Background: Genome-wide association studies (GWASs) have identified thousands of genomic regions in which common variants affect blood pressure, but have yielded limited mechanistic insight. This study used a novel method of genetic analysis based on identifying core genes on which the _trans_-effects of common variants coalesce to influence blood pressure. Methods: We undertook GWASs of mean arterial pressure (MAP) and body mass index (BMI) in 373,882 individuals aged less than 60 years in the Our Future Health study. We used summary statistics from GWASs of proteins on the SomaScan and Olink platforms to compute genome-wide aggregated trans-effects (GATE) scores for each protein, and tested for association of MAP with these scores. Results: The strongest GATE score association with MAP was for lipoprotein lipase (LpL, encoded by LPL_. Genetic up-regulation of circulating levels of LpL was associated with lower MAP but higher BMI. Associations of MAP and BMI with GATE scores for circulating levels of proteins encoded by three other genes involved in lipid handling -- CD300LG, ADIPOQ, TIMP4 -- were similar to those with LpL. GATE scores for all four of these proteins were inversely associated with measurements by NMR spectroscopy of plasma triglyceride in chylomicrons and extremely large VLDL particles. Conclusions: These results point to a key role in hypertension for proteins that regulate post-prandial clearance of triglyceride-rich lipoproteins, independently of adiposity. This is consistent with experimental studies showing that accumulation of lipids in endothelial cells impairs endothelial function.

genetics↗

Global variability of the human IgG glycome

Immunoglobulin G (IgG) is the most abundant serum antibody and is a key determinant of the humoral immune response. Its structural characteristics and effector functions are modulated through the attachment of various sugar moieties called glycans. IgG N-glycome patterns change with the age of individual and in different diseases. Variability of IgG glycosylation within a population is well studied and is affected by a combination of genetic and environmental factors. However, global inter-population differences in IgG glycosylation have never been properly addressed. Here we present population-specific N-glycosylation patterns of whole IgG, analysed in 5 different populations totalling 10,482 IgG glycomes, and of IgGs fragment crystallisable region (Fc), analysed in 2,530 samples from 27 populations sampled across the world. We observed that country of residence associates with many N-glycan features and is a strong predictor of monogalactosylation variability. IgG galactosylation also strongly correlated with the development level of a country, defined by United Nations health and socioeconomic development indicators. We found that subjects from developing countries had low IgG galactosylation levels, characteristic for inflammation and ageing. Our results suggest that citizens of developing countries may be exposed to country-specific environmental factors that can cause low-grade chronic inflammation and the apparent increase in biological age.

biochemistry↗