Expressive

rs10456362 - ZKSCAN4 - NKAPL

Magnitude 2.0 · 3 studies on file

Reported associations

  • Unprocessed Red Meat and Processed Meat Consumption, Plasma Metabolome, and Risk of Ischemic Heart Disease: A Prospective Cohort Study of UK Biobank - Journal of the American Heart Association (2023) · Dong X, Zhuang Z, Zhao Y, Song Z, Xiao W, Wang W, Li Y, Huang N, Jia J, Liu Z, Qi L, Huang T · PubMed 36974753

    ABSTRACT: Background The evidence is equivocal on the association between meat consumption and ischemic heart disease (IHD) risk. To what extent the variation of individuals' metabolic responses to the same diet may account for this association is not fully understood. We aim to identify metabolomic signatures characterizing consumption of unprocessed red meat and processed meat and whether such signatures are associated with IHD risk. Methods and Results We conducted a cohort study of 92 246 individuals (mean age, 56.1 years; 55.1% women) using the UK Biobank. During the median follow‐up of 8.74 years, 3059 incident IHD events were documented. Unprocessed red meat and processed meat consumption was assessed using a touchscreen dietary questionnaire. Plasma metabolome was profiled

  • Overlapping common genetic architecture between major depressive disorders and anxiety and stress-related disorders. - Progress in neuro-psychopharmacology & biological psychiatry (2022) · Mei L, Gao Y, Chen M, Zhang X, Yue W, Zhang D, Yu H · PubMed 34634379

    Major depressive disorders (MDDs) and anxiety and stress-related disorders (ASRDs) have overlapping symptoms and high rates of comorbidity. However, the underlying mechanisms remain largely unknown. Here, we aimed to examine whether MDD and ASRD share genetic risk factors utilizing recent large-scale genome-wide association studies (GWASs). To examine the genetic overlap between MDD and ASRD, we applied genetic correlation analysis to analyze GWAS summary statistics for MDD (16,823 cases and 25,632 controls) and ASRD (12,665 cases and 19,225 controls). We found positive and significant genetic correlations between MDD and ASRD (GNOVA: rho = 0.59, se = 0.01, P = 5.32 × 10 ). Our latent causal variable (LCV) analysis indicated the genetic correlation result from pleiotropic effects

  • Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank - Science advances (2020) · Wang H, Zhang F, Zeng J, Wu Y, Kemper KE, Xue A, Zhang M, Powell JE, Goddard ME, Wray NR, Visscher PM, McRae AF, Yang J · PubMed 31453325

    ABSTRACT: We show that genotype-by-environment interaction can be inferred from an analysis without environmental data in a large sample. Genotype-by-environment interaction (GEI) is a fundamental component in understanding complex trait variation. However, it remains challenging to identify genetic variants with GEI effects in humans largely because of the small effect sizes and the difficulty of monitoring environmental fluctuations. Here, we demonstrate that GEI can be inferred from genetic variants associated with phenotypic variability in a large sample without the need of measuring environmental factors. We performed a genome-wide variance quantitative trait locus (vQTL) analysis of ~5.6 million variants on 348,501 unrelated individuals of European ancestry for 13 quantitative traits

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