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Search: WFRF:(Zhan YQ)

  • Result 1-46 of 46
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  • He, YQ, et al. (author)
  • A polygenic risk score for nasopharyngeal carcinoma shows potential for risk stratification and personalized screening
  • 2022
  • In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 13:1, s. 1966-
  • Journal article (peer-reviewed)abstract
    • Polygenic risk scores (PRS) have the potential to identify individuals at risk of diseases, optimizing treatment, and predicting survival outcomes. Here, we construct and validate a genome-wide association study (GWAS) derived PRS for nasopharyngeal carcinoma (NPC), using a multi-center study of six populations (6 059 NPC cases and 7 582 controls), and evaluate its utility in a nested case-control study. We show that the PRS enables effective identification of NPC high-risk individuals (AUC = 0.65) and improves the risk prediction with the PRS incremental deciles in each population (Ptrend ranging from 2.79 × 10−7 to 4.79 × 10−44). By incorporating the PRS into EBV-serology-based NPC screening, the test’s positive predictive value (PPV) is increased from an average of 4.84% to 8.38% and 11.91% in the top 10% and 5% PRS, respectively. In summary, the GWAS-derived PRS, together with the EBV test, significantly improves NPC risk stratification and informs personalized screening.
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  • Liu, ZF, et al. (author)
  • Association between Eating Away from Home and Hyperuricemia: A Population-Based Nationwide Cross-Sectional Study in China
  • 2019
  • In: BioMed research international. - : Hindawi Limited. - 2314-6141 .- 2314-6133. ; 2019, s. 2792681-
  • Journal article (peer-reviewed)abstract
    • Hyperuricemia (HU) is a risk factor for different kinds of chronic noncommunicable diseases, and eating away from home (EAFH) may play an important role in their development, which has been ignored greatly so far. This study aimed to investigate the association between EAFH and HU in different models. A cross-sectional study involving 8,322 participants of the China Health and Nutrition Survey (CHNS) was conducted. Logistic regression models were used to analyze the data. We found that participants who consumed more away-from-home food had a higher risk for HU, and the adjusted odds ratio (aOR) and 95% confidence interval (CI) (for each increment in grades of EAFH) were 1.11 (1.02, 1.20) in a multiadjusted model (adjusted for age, gender, province, net individual income, body mass index, smoking, leisure-time physical activities, energy intake, and sleep duration). As for stratified analyses, the aOR (95% CI) of EAFH was 1.12 (1.01, 1.24) for men and 1.06 (0.92, 1.21) for women. Similar results can be found in the middle-aged and obese population, with aOR (95% CI) of EAFH as 1.17 (1.05, 1.30) and 1.15 (1.03, 1.29), respectively. In conclusion, EAFH is positively associated with the prevalence of HU.
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  • Mao, Y, et al. (author)
  • Vitamin D and asthma: A Mendelian randomization study
  • 2017
  • In: Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology. - : Elsevier BV. - 1534-4436. ; 119:1, s. 95-
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  • Zhan, YQ (author)
  • ABO blood type and ARDS
  • 2015
  • In: Chest. - : Elsevier BV. - 1931-3543 .- 0012-3692. ; 147:2, s. E67-E67
  • Journal article (other academic/artistic)
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  • Zhan, YQ, et al. (author)
  • Association between genetically predicted telomere length and facial skin aging in the UK Biobank: a Mendelian randomization study
  • 2021
  • In: GeroScience. - : Springer Science and Business Media LLC. - 2509-2723 .- 2509-2715. ; 43:3, s. 1519-1525
  • Journal article (peer-reviewed)abstract
    • Are shorter telomeres causal risk factors for facial aging on a large population level? To examine if longer, genetically predicted telomeres were causally associated with less facial aging using Mendelian randomization analysis. Two-sample Mendelian randomization methods were applied to the summary statistics of a genome-wide association study (GWAS) for self-reported facial aging from 417, 772 participants of the UK Biobank data. Twenty single-nucleotide polymorphisms (SNPs) that were of genome-wide significance were selected as instrumental variables for leukocyte telomere length. The main analyses were performed primarily using the random-effects inverse-variance weighted method and were complemented with the MR-Egger regression, weighted median, and weighted mode approaches. The intercept of MR-Egger regression was used to assess horizontal pleiotropy. Longer genetically predicted telomeres were associated with a lower likelihood of facial aging (β = − 0.02, 95% confidence interval: − 0.04, − 0.002). Comparable results were obtained using MR-Egger regression, weighted median, and weighted mode approaches. The intercept of MR-Egger regression was close to zero (0.002) that was not suggestive of horizontal pleiotropy. Our findings provided evidence to support a potential causal relationship between longer genetically predicted telomeres and less facial aging.
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  • Zhan, YQ, et al. (author)
  • Predicting the prevalence of peripheral arterial diseases: modelling and validation in different cohorts
  • 2016
  • In: VASA. Zeitschrift fur Gefasskrankheiten. - : Hogrefe Publishing Group. - 0301-1526. ; 45:1, s. 31-36
  • Journal article (peer-reviewed)abstract
    • Abstract. Background: To develop models for prevalence estimation of peripheral arterial disease (PAD) and to validate them in an external cohort. Methods: Model training cohort was a population based cross-sectional survey. Age, sex, smoking status, body mass index, total cholesterol (TC), high density lipoprotein (HDL), TC/HDL ratio, low density lipoprotein, fasting glucose, diabetes, hypertension, pulse pressure, and stroke history were considered candidate predicting variables. Ankle brachial index ≤ 0.9 was defined as the presence of peripheral arterial disease. Logistic regression method was used to build the prediction models. The likelihood ratio test was applied to select predicting variables. The bootstrap method was used for model internal validation. Model performance was validated in an external cohort. Results: The final models included age, sex, pulse pressure, TC/HDL ratio, smoking status, diabetes, and stroke history. Area under receiver operating characteristics (AUC) with 95% confidence interval (CI) of the final model from the training cohort was 0.74 (0.70, 0.77). Model validation in another cohort revealed AUC (95% CI) of 0.72 (0.70, 0.73). P value of Hosmer-Lemeshow’s model goodness of fit test was 0.75 indicating good model calibration. Conclusions: The developed model yielded a moderate usefulness for predicting the prevalence of PAD in general population.
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  • Zhou, A, et al. (author)
  • Habitual coffee consumption and cognitive function: a Mendelian randomization meta-analysis in up to 415,530 participants
  • 2018
  • In: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 8:1, s. 7526-
  • Journal article (peer-reviewed)abstract
    • Coffee’s long-term effect on cognitive function remains unclear with studies suggesting both benefits and adverse effects. We used Mendelian randomization to investigate the causal relationship between habitual coffee consumption and cognitive function in mid- to later life. This included up to 415,530 participants and 300,760 coffee drinkers from 10 meta-analysed European ancestry cohorts. In each cohort, composite cognitive scores that capture global cognition and memory were computed using available tests. A genetic score derived using CYP1A1/2 (rs2472297) and AHR (rs6968865) was chosen as a proxy for habitual coffee consumption. Null associations were observed when examining the associations of the genetic score with global and memory cognition (β = −0.0007, 95% C.I. −0.009 to 0.008, P = 0.87; β = −0.001, 95% C.I. −0.005 to 0.002, P = 0.51, respectively), with high consistency between studies (Pheterogeneity > 0.4 for both). Domain specific analyses using available cognitive measures in the UK Biobank also did not support effects by habitual coffee intake for reaction time, pairs matching, reasoning or prospective memory (P ≥ 0.05 for all). Despite the power to detect very small effects, our meta-analysis provided no evidence for causal long-term effects of habitual coffee consumption on global cognition or memory.
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