Publications by authors named "Huan Mo"

Electronic health records (EHRs) contain rich temporal data about infectious diseases, but an optimal approach to identify infections remains undefined. Using the Research Program, we developed computable phenotypes for respiratory viruses by integrating billing codes, prescriptions, and laboratory results within 90-day episodes. Phenotypes computed from 265,222 participants yielded cohorts ranging from 238 (adenovirus) to 28,729 (SARS-CoV-2) cases.

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Summary: With the rapid growth of genetic data linked to electronic health record (EHR) data in huge cohorts, large-scale phenome-wide association study (PheWAS) have become powerful discovery tools in biomedical research. PheWAS is an analysis method to study phenotype associations utilizing longitudinal EHR data. Previous PheWAS packages were developed mostly with smaller datasets and with earlier PheWAS approaches.

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  • This study investigates the risk of hyponatremia (low sodium levels) associated with various antidepressants, including SSRIs, SNRIs, and NRIs, through examination of health records in the All of Us Research Program.
  • The overall incidence of hyponatremia was found to be 0.87% within the first 30 days and 10.5% over three years among participants taking these medications.
  • Among the antidepressants studied, duloxetine and escitalopram had the highest risk for hyponatremia, while bupropion and paroxetine were linked to the lowest risk, helping providers make informed treatment decisions.
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To facilitate the intelligent classification of unmanned highway toll stations, selecting effective and useful features is pivotal. This process involves achieving a tradeoff between the number of features and the classification accuracy while also reducing the acquisition costs of features. To address these challenges, a multimodal multi-objective feature selection (MMOFS) method is proposed in the current study.

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  • Racial and ethnic differences in drug effectiveness and prescribing practices were evaluated for antihypertensive medications among Hispanic, Black, and White populations enrolled in the NIH All of Us Research Program.
  • The study found that Black and Hispanic participants started on medications had higher initial systolic blood pressure and were prescribed fewer first-line treatments compared to White participants.
  • Overall, antihypertensive drugs generally showed lower effectiveness in Black and Hispanic populations, indicating a need for earlier intervention and tailored treatment strategies for these groups.
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Summary: With the rapid growth of genetic data linked to electronic health record data in huge cohorts, large-scale phenome-wide association study (PheWAS), have become powerful discovery tools in biomedical research. PheWAS is an analysis method to study phenotype associations utilizing longitudinal electronic health record (EHR) data. Previous PheWAS packages were developed mostly in the days of smaller biobanks and with earlier PheWAS approaches.

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  • Type 2 diabetes (T2D) is a complex disease influenced by various genetic factors and molecular mechanisms that vary by cell type and ancestry.
  • In a large study involving over 2.5 million individuals, researchers identified 1,289 significant genetic associations linked to T2D, including 145 new loci not previously reported.
  • The study categorized T2D signals into eight distinct clusters based on their connections to cardiometabolic traits and showed that these genetic profiles are linked to vascular complications, emphasizing the role of obesity-related processes across different ancestry groups.
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  • - The All of Us Research Program aims to enroll over a million participants to enhance precision medicine, focusing on the verification of biobanks by replicating known associations, specifically related to cigarette smoking.
  • - The study used electronic health records (EHR) and participant surveys to assess smoking behavior and conducted a phenome-wide association study (PheWAS), comparing findings to published meta-analyses.
  • - Results showed that a significant number of smoking-related phenotypes from meta-analyses were replicated in the All of Us data, demonstrating the program's potential for researching common exposures.
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  • The study examines two aggressive variants of mantle cell lymphoma (MCL), namely blastoid (B-MCL) and pleomorphic (P-MCL), using data from 102 untreated patients.
  • B-MCL is characterized by a more homogenous chromatin pattern and smaller, more uniform nuclei compared to P-MCL, which displays greater variation in cell appearance.
  • Significant differences were found in proliferation rates and overall patient survival, with B-MCL showing a higher Ki-67 rate and poorer prognosis; NOTCH1 mutations were also more prevalent in B-MCL, indicating distinct biological profiles for both variants.
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Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases.

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Detection of measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important prognostic marker. The most common CLL MRD method in current use is multiparameter flow cytometry, but availability is limited by the need for expert manual analysis. Automated analysis has the potential to expand access to CLL MRD testing.

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Isocitrate dehydrogenase (IDH) mutant gliomas are associated with a better prognosis in comparison to adult IDH wild-type glioma and glioma-CpG island methylator phenotypes. Although OLIG2 is mainly expressed in oligodendrocytes in normal adult brain, it is expressed in both astrocytomas and oligodendrogliomas. Utilizing the clinical, DNA methylation, and RNA-sequencing data from the Cancer Genome Atlas (TCGA) for lower-grade glioma and glioblastoma cohorts, we explored the association between IDH mutation status and OLIG2 expression on transcription, DNA methylation, and gene target levels.

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Background: Prompt diagnosis of acute promyelocytic leukemia (APL) is critical for patient care. In this study, we aimed to characterize the immunophenotype of APL and explore immunophenotypic difference between APL and its mimics using flow cytometric analysis.

Methods: Eighty-five cases were collected, including 47 APL, 26 NPM1-mutated acute myeloid leukemia (AML) and 12 KMT2A-rearranged AML with an APL-like immunophenotype.

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Precision medicine offers the potential to improve health through deeper understandings of the lifestyle, biological, and environmental influences on health. Under Dr. Donald A.

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Precision medicine offers the potential to improve health through deeper understandings of the lifestyle, biological, and environmental influences on health. Under Dr. Donald A.

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Enhancer of zeste homolog 2 (EZH2) is a catalytic component of the polycomb repressive complex 2 (PRC2) which reduces gene expression via trimethylation of a lysine residue of histone 3 (H3K27me3). Expression of EZH2 has not been assessed systematically in mantle cell lymphoma (MCL). Expression of EZH2 was assessed by immunohistochemistry in 166 patients with MCL.

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Objective: To explore the efficacy of primary chemoradiation with cisplatin versus cetuximab with respect to HPV/p16 and smoking statuses.

Methods: We retrospectively reviewed patients from our center with locally advanced non-nasopharyngeal head and neck squamous cell carcinoma (HNSCC) who received primary chemoradiation with cisplatin or cetuximab between 2006 and 2018.

Results: The median OS for cisplatin (n = 66) was not reached versus 132 months when treated with cetuximab (n = 55) (p = 0.

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  • The study highlights the challenge of interpreting and implementing electronic health record (EHR) algorithms that are usually shared as free-text descriptions.
  • The Phenotype Execution and Modeling Architecture (PhEMA) was developed to standardize and automate the execution of computable phenotype algorithms, specifically for benign prostatic hyperplasia.
  • Results showed that six out of eight sites successfully executed the algorithm, yielding over 90% positive predictive value (PPV) and substantial overlap with previous implementations, indicating the promise of PhEMA in automating phenotyping across varied EHR systems despite some challenges.
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Genome-wide association study (GWAS) data have linked the gene to variations in fasting blood glucose (FBG). encodes an islet-specific glucose-6-phosphatase catalytic subunit that forms a substrate cycle with the beta cell glucose sensor glucokinase. This cycle modulates the glucose sensitivity of insulin secretion and hence FBG.

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Rapid impulse propagation in the heart is a defining property of pectinated atrial myocardium (PAM) and the ventricular conduction system (VCS) and is essential for maintaining normal cardiac rhythm and optimal cardiac output. Conduction defects in these tissues produce a disproportionate burden of arrhythmic disease and are major predictors of mortality in heart failure patients. Despite the clinical importance, little is known about the gene regulatory network that dictates the fast conduction phenotype.

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Objective: The differences between seronegative and seropositive rheumatoid arthritis (RA) have not been widely reported. We performed electronic health record (EHR)-based phenome-wide association studies (PheWAS) to identify disease associations in seropositive and seronegative RA.

Methods: A validated algorithm identified RA subjects from the de-identified version of the Vanderbilt University Medical Center EHR.

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The Quality Data Model (QDM) is an established standard for representing electronic clinical quality measures on electronic health record (EHR) repositories. The Informatics for Integrated Biology and the Bedside (i2b2) is a widely used platform for implementing clinical data repositories. However, translation from QDM to i2b2 is challenging, since QDM allows for complex queries beyond the capability of single i2b2 messages.

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