Rong Zablocki

ORCID: 0000-0003-1670-0557
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Physical Activity and Health
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Obesity, Physical Activity, Diet
  • Cardiovascular and exercise physiology
  • Cancer survivorship and care
  • Gene expression and cancer classification
  • Smoking Behavior and Cessation
  • Cancer-related cognitive impairment studies
  • Neural Networks and Applications
  • Textile materials and evaluations
  • Musculoskeletal pain and rehabilitation
  • Brain Metastases and Treatment
  • Nutrition and Health in Aging
  • Fibromyalgia and Chronic Fatigue Syndrome Research
  • Glioma Diagnosis and Treatment
  • Blind Source Separation Techniques
  • Rheumatoid Arthritis Research and Therapies
  • Bioinformatics and Genomic Networks
  • Neural dynamics and brain function
  • Acute Lymphoblastic Leukemia research
  • Lymphatic System and Diseases
  • Chronic Lymphocytic Leukemia Research
  • Cognitive Science and Mapping

Human Longevity (United States)
2022-2024

University of California, San Diego
2013-2024

San Diego State University
2014-2017

Claremont Graduate University
2017

University of San Diego
2017

University of Oslo
2014

Cypress College
2011

Center for Rheumatology
2010

MTX is a prodrug producing anti-arthritic effects through folylpolyglutamate synthase-mediated activation to polyglutamates (MTXPGs). Our objective was characterize the pharmacokinetics of intracellular MTXPGs and factors associated with their accumulation in adult RA patients treated weekly.MTX were evaluated 47 MTX-naïve enrolled an dose-escalation study for average 20 weeks 223 cross-sectional under long-term therapy. Short-chain (MTXPG1-2), long-chain (MTXPG3) very (MTXPG4-5)...

10.1093/rheumatology/keq216 article EN Lara D. Veeken 2010-08-14

Abstract Motivation: Genome-wide association studies (GWAS) have largely failed to identify most of the genetic basis highly heritable diseases and complex traits. Recent work has suggested this could be because many variants, each with individually small effects, compose their architecture, limiting power GWAS, given currently obtainable sample sizes. In scenario, Bonferroni-derived thresholds are severely underpowered detect vast majority associations. Local false discovery rate (fdr)...

10.1093/bioinformatics/btu145 article EN Bioinformatics 2014-04-07

Abstract Objective To develop responder definitions for fibromyalgia (FM) clinical trials using key symptom and function domains. Methods Twenty‐four candidate were developed by expert consensus evaluated in 12 randomized, placebo‐controlled of 4 medications the treatment FM. For each definition, effects medication compared with placebo analyzed Cochran‐Mantel‐Haenszel tests or chi‐square tests. A meta‐analysis pooled results established risk ratios to determine that best favored over...

10.1002/art.33360 article EN Arthritis & Rheumatism 2011-09-28

Heightened stigma surrounding the action of smoking may decrease likelihood that individuals who engage in identify with label 'smoker'. Non-identifying smokers (NIS) undermine accurate prevalence estimates and can be overlooked by tobacco control efforts.We sought to characterise NIS a cross-sectional study using sample representative population adults (>18 years) California reported at least 100 cigarettes their lifetime, some days once last 30 (n=1698). Individuals were considered if they...

10.1136/tobaccocontrol-2013-051400 article EN Tobacco Control 2014-02-05

Hip-worn accelerometers are commonly used, but data processed using the 100 counts per minute cut point do not accurately measure sitting patterns. We developed and validated a model to classify patterns hip-worn accelerometer from wide age range of older adults.

10.1123/jmpb.2021-0062 article EN Journal for the Measurement of Physical Behaviour 2022-09-22

Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement the latter posture. goal of current study to quantify pattern variation (by activity counts) during activPAL-identified sitting events, examine associations between patterns health-related outcomes, such as systolic diastolic blood pressure (SBP DBP).

10.1186/s12966-024-01585-8 article EN cc-by International Journal of Behavioral Nutrition and Physical Activity 2024-04-26

Analysis of genome-wide association studies (GWAS) is characterized by a large number univariate regressions where quantitative trait regressed on hundreds thousands to millions single-nucleotide polymorphism (SNP) allele counts, one at time. This article proposes an estimator the SNP heritability trait, defined here as fraction variance explained SNPs in study. The proposed GWAS (GWASH) easy compute, highly interpretable, and consistent sample size increase. More importantly, it can be...

10.1214/19-aoas1291 article EN The Annals of Applied Statistics 2019-11-28

Hip-worn accelerometer cut-points have poor validity for assessing children's sedentary time, which may partly explain the equivocal health associations shown in prior research. Improved processing/classification methods these monitors would enrich evidence base and inform development of more effective public guidelines. The present study aimed to develop evaluate a novel computational method (CHAP-child) classifying time from hip-worn data.Participants were 278, 8-11-year-olds recruited...

10.1186/s12966-022-01349-2 article EN cc-by International Journal of Behavioral Nutrition and Physical Activity 2022-08-26

While genome-wide association studies (GWAS) have discovered thousands of risk loci for heritable disorders, so far even very large meta-analyses recovered only a fraction the heritability most complex traits. Recent work utilizing variance components models has demonstrated that larger phenotypes is captured by additive effects SNPs than evident in surpassing significance thresholds, typically set at Bonferroni-inspired $p\le5\times10^{-8}$. Procedures control false discovery rate can be...

10.1214/17-aoas1077 article EN other-oa The Annals of Applied Statistics 2017-12-01

Abstract Analysis of genome-wide association studies (GWAS) is characterized by a large number univariate regressions where an outcome, quantitative trait, regressed on hundreds thousands to millions genomic markers, i.e. single-nucleotide polymorphism (SNP) counts, one marker at time. Assuming linear model linking the markers this article proposes estimator heritability defined here as fraction variance trait explained in study. The estimator, called GWAS (GWASH) easy compute, highly...

10.1101/204446 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2017-10-17

While genome-wide association studies (GWAS) have discovered thousands of risk loci for heritable disorders, so far even very large meta-analyses recovered only a fraction the heritability most complex traits. Recent work utilizing variance components models has demonstrated that larger phenotypes is captured by additive effects SNPs than evident in surpassing significance thresholds, typically set at Bonferroni-inspired p ≤ 5 x 10 -8 . Procedures control false discovery rate can be more...

10.1101/183384 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2017-08-31

1 Abstract Here we present a development of the novel Bayesian Regularized and Anotation-Informed Integrative Analysis Cognition (BRAINIAC) model. BRAINIAC allows for both estimation total variance explained by all features given cognitive phenotype, as well principled assessment impact annotations on relative enrichment compared to others in terms explained, without relying potentially unrealistic assumption sparsity brain-cognition associations. We apply model resting state fMRI data from...

10.1101/2023.07.24.550424 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-07-26

Sedentary behavior among breast cancer survivors is associated with increased risk of poor physical function and worse quality life. While moderate to vigorous activity can improve outcomes for survivors, many are unable engage in that intensity activity. Decreasing sitting time may be a more feasible behavioral target potentially mitigate the impact its treatments.

10.2196/49934 article EN cc-by JMIR Cancer 2023-11-23

In recent years, wearable devices have become more common to capture a wide range of health behaviors, especially for physical activity and sedentary behavior. These sensor-based measures are deemed be objective thus less prone self-reported biases, inherent in questionnaire assessments. While this is undoubtedly major advantage, there can still measurement errors from the device recordings, which pose serious challenges conducting statistical analysis obtaining unbiased risk estimates....

10.48550/arxiv.2403.01000 preprint EN arXiv (Cornell University) 2024-03-01

Cancer related cognitive decline is a common long-term side effect of cancer and its treatments among breast survivors. Physical activity modifiable risk factor to decline. However, existing research lacks consensus regarding the relationship between cognition exercise as well impact on this relationship. Baseline data from an ongoing randomized clinical trial was utilized examine self-reported objectively measured with physical activity. Exploratory analyses examined potential moderators.

10.3389/fcogn.2024.1332960 article EN cc-by Frontiers in Cognition 2024-05-09

<sec> <title>BACKGROUND</title> Sedentary behavior among breast cancer survivors is associated with increased risk of poor physical function and worse quality life. While moderate to vigorous activity can improve outcomes for survivors, many are unable engage in that intensity activity. Decreasing sitting time may be a more feasible behavioral target potentially mitigate the impact its treatments. </sec> <title>OBJECTIVE</title> The purpose this study was investigate feasibility preliminary...

10.2196/preprints.49934 preprint EN 2023-06-30

Cohort studies are increasingly using accelerometers for physical activity and sedentary behavior estimation. These devices tend to be less error-prone than self-report, can capture throughout the day, economical. However, previous methods estimating based on hip-worn data often invalid or suboptimal under free-living situations subject-to-subject variation. In this paper, we propose a local Markov switching model that takes situation into account, introduce general procedure posture...

10.48550/arxiv.2207.01809 preprint EN cc-by arXiv (Cornell University) 2022-01-01
Coming Soon ...