Publications by authors named "Tinchi Lin"

Article Synopsis
  • This study investigates how gene-environment interactions (GEIs) affect protein levels in the blood, which could help in discovering and validating new biomarkers.
  • Researchers analyzed blood protein data from over 52,000 UK Biobank participants and identified 677 unique variance quantitative trait loci (vQTLs), which are genetic variations linked to protein levels.
  • The findings reveal over 1,100 GEIs between identified proteins and environmental factors, providing insights into why some genetic variants affect protein levels without obvious main effects, and emphasizing the roles of age, sex, and other factors in genetic variability.
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The circulating proteome offers insights into the biological pathways that underlie disease. Here, we test relationships between 1,468 Olink protein levels and the incidence of 23 age-related diseases and mortality in the UK Biobank (n = 47,600). We report 3,209 associations between 963 protein levels and 21 incident outcomes.

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Recombinant adeno-associated virus (rAAV) vectors have become a reliable strategy for delivering gene therapies. As rAAV capsid content is known to be heterogeneous, methods for rAAV characterization are critical for assessing the efficacy and safety of drug products. Multiplex digital PCR (dPCR) has emerged as a popular molecular approach for characterizing capsid content due to its high level of throughput, accuracy, and replicability.

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Article Synopsis
  • The Pharma Proteomics Project is a large-scale research initiative analyzing blood protein profiles from over 54,000 UK Biobank participants to understand links between genetics and health.
  • The project identifies significant genetic associations with proteins, revealing many novel interactions and highlighting ancestry-specific variations, along with insights into disease mechanisms and potential drug targets.
  • By making their findings publicly accessible, the consortium aims to advance research in biomarker development and therapeutic strategies, enhancing our understanding of how genetic factors influence health outcomes.
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Article Synopsis
  • * Among 2,924 patients, those with obesity had a 17% and those with diabetes had a 20% rate of discontinuing treatment within 6 months, which was higher than those without these conditions.
  • * The findings suggest that assessing comorbidities, particularly obesity and diabetes, at the start of biologic treatment could help predict treatment success and improve management of psoriasis.
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Background: The characteristics that predict the onset of psoriatic arthritis (PsA) among patients with psoriasis (PsO) may inform diagnosis and treatment.

Objective: To develop a model to predict the 2-year risk of developing PsA among patients with PsO.

Methods: This was a prospective cohort study of patients in the CorEvitas Psoriasis Registry without PsA at enrollment and with 24-month follow-up.

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Background: Associations between cardiometabolic multimorbidity and response to therapy in psoriasis are unknown.

Objective: Determine the associations of multimorbidity with response to biologic treatment in psoriasis patients.

Methods: CorEvitas Psoriasis Registry participants who initiated biologic therapy and had 6-month follow-up were stratified by 0, 1, 2+ comorbidities (diabetes, hypertension, hyperlipidemia).

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To evaluate whether the presence of a history of depression hinders psoriasis response to systemic therapies and to delineate baseline characteristics of patients whose depressive symptoms improved on systemic treatment. We studied patients within the Corrona Psoriasis Registry, a prospective, multicenter observational disease-based registry, that were enrolled through September 2018, comparing changes from enrollment to 12-month visit. There was a statistically significant improvement in all disease characteristics and most patient-reported outcomes in patients reporting a history of depression and in those that did not while there was no statistically significant difference in the degree of change comparing these two cohorts.

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Background: Psoriasis is associated with comorbid systemic metabolic disease.

Objective: To assess possible associations of comorbid obesity, history of diabetes, hypertension, and hyperlipidemia with response to biologic treatment at 6 months among patients in CorEvitas' Psoriasis Registry.

Methods: Participants included 2924 patients initiating biologic therapy (tumour necrosis factor inhibitors [TNFi], interleukin [IL]-17i, IL-12/23i, or IL-23i) with baseline and 6-month follow-up visits available.

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Background: A common issue in descriptive injury epidemiology is that in order to calculate injury rates that account for the time spent in an activity, both injury cases and exposure time of specific activities need to be collected. In reality, few national surveys have this capacity. To address this issue, we combined statistics from two different national complex surveys as inputs for the numerator and denominator to estimate injury rate, accounting for the time spent in specific activities and included a procedure to estimate variance using the combined surveys.

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Introduction: Technological advancements have made life and work more sedentary, and long hours of sitting are known to be associated with many health concerns. Several studies have reported an association between prolonged sitting time at work and weight gain, but the results are inconsistent. This study examined the relationship between sitting time at work and BMI using data from a large prospective cohort of U.

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Objectives: We compared work and lifestyle activities for workers who work in 1 job with those who work in multiple jobs during a 1-week period.

Methods: We used information from the 2003-2011 American Time Use Survey to classify workers into 6 work groups based on whether they were a single (SJH) or multiple (MJH) job holder and whether they worked their primary, other, multiple, or no job on the diary day.

Results: The MJHs often worked 2 part-time jobs (20%), long weekly hours (27% worked 60+ hours), and on weekends.

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Objectives: We compared the risk of injury for multiple job holders (MJHs) with that for single job holders (SJHs).

Methods: We used information from the National Health Interview Survey for the years 1997 through 2011 to estimate the rate of multiple job holding in the United States and compared characteristics and rates of self-reported injury (work and nonwork) for SJHs versus MJHs.

Results: Approximately 8.

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We use a nationally representative survey of Indian households (NFHS-3) to conduct the first study that analyzes whether son preference is associated with girls bearing a larger burden of housework than boys. Housework is a non-negligible part of child labor in which around 60 % of children in our sample are engaged. The preference for male offspring is measured by a mother's ideal proportion of sons among her offspring.

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Objectives: The relationship between obesity and occupational injuries remains unclear in the literature due to limitations in study design and sample composition. To better assess the contribution of obesity to occupational injury, we used data from a nationally representative cohort, the National Longitudinal Survey of Youth 1979 (NLSY79) in 1988-2000.

Methods: We hypothesized that obesity contributes to workplace injury and tested the hypothesis using logistic regression with generalized estimating equations (GEE) and random-effects logistic regression.

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Article Synopsis
  • The study examines changing attitudes towards child sex preference among married women in Taiwan from 1990, noting a significant decrease in son preference and an increase in gender indifference.
  • It found that higher female education levels strongly correlated with a shift away from son preference and towards neutrality regarding child sex.
  • The analysis also revealed generational differences, with younger, better-educated cohorts moving away from traditional male preferences, contributing to a broader societal trend towards gender neutrality in child preference.
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