Publications by authors named "Havell Markus"

Background: Adult septic patients with substance abuse disorder (SUD) are at increased risk of poor outcomes, but the impact on adolescents is unknown. We aimed to determine if pre-existing SUD is associated with increased adverse outcomes and critical care resources in critically ill adolescents hospitalized with sepsis. We hypothesize that SUD is associated with increased risk of adverse outcomes and usage of critical care resources in this adolescent patient population.

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Most variants identified from genome-wide association studies (GWASs) are non-coding and regulate gene expression. However, many risk loci fail to colocalize with expression quantitative trait loci (eQTLs), potentially due to limited GWAS and eQTL analysis power or cellular heterogeneity. Population-scale single-cell RNA-sequencing (scRNA-seq) datasets are emerging, enabling mapping of eQTLs in different cell types (sc-eQTLs).

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BK polyomavirus (PyV) establishes lifelong asymptomatic infections in the reno-urinary system of most humans. BKPyV-associated nephropathy is the leading infectious cause of kidney allograft loss. Using mouse PyV, a natural murine pathogen that also persists in the kidney, we define a dominant chemokine receptor-chemokine axis that directs T cell infiltration of the kidney.

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Autoimmune diseases often exhibit a preclinical stage before diagnosis. Electronic health record (EHR) based-biobanks contain genetic data and diagnostic information, which can identify preclinical individuals at risk for progression. Biobanks typically have small numbers of cases, which are not sufficient to construct accurate polygenic risk scores (PRS).

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Introduction: Supraventricular tachycardia (SVT) can occur during treatment of an acute asthma exacerbation. There are, however, no data on the long-term outcomes of children who are diagnosed with both asthma and SVT. This study aims to analyze the impact of SVT in asthmatic children on mortality and/or cardiac arrest, hypothesizing asthmatic subjects with SVT have increased mortality and/or cardiac arrest compared to asthmatic subject with no-SVT.

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Article Synopsis
  • Large national electronic health record (EHR) datasets provide insights into the interaction between genetics and environmental factors through detailed patient information.
  • A new spatial mixed linear effect (SMILE) model was created to analyze data from 257,620 family units, incorporating geographic and environmental data alongside genetic measurements.
  • Findings reveal that air pollutants like particulate matter and nitrogen dioxide significantly impact 135 diseases across various categories, highlighting the potential for integrating large EHR datasets in understanding disease risk in precision medicine.
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Transcriptome-wide association study (TWAS) is a popular approach to dissect the functional consequence of disease associated non-coding variants. Most existing TWAS use bulk tissues and may not have the resolution to reveal cell-type specific target genes. Single-cell expression quantitative trait loci (sc-eQTL) datasets are emerging.

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Genetic mechanisms of blood pressure (BP) regulation remain poorly defined. Using kidney-specific epigenomic annotations and 3D genome information we generated and validated gene expression prediction models for the purpose of transcriptome-wide association studies in 700 human kidneys. We identified 889 kidney genes associated with BP of which 399 were prioritised as contributors to BP regulation.

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Ampullary adenocarcinoma is a rare malignancy that lacks standard systemic treatment. We describe a case of recurrent metastatic ampullary adenocarcinoma of the pancreaticobiliary subtype treated with nanoparticle albumin-bound (nab)-paclitaxel and gemcitabine as first-line treatment. This report also highlights the molecular profile of the ampullary adenocarcinoma and circulating tumor DNA (ctDNA).

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Background: Circulating small RNAs (smRNAs) originate from diverse tissues and organs. Previous studies investigating smRNAs as potential biomarkers for Parkinson's disease (PD) have yielded inconsistent results. We investigated whether smRNA profiles from neuronally-enriched serum exosomes and microvesicles are altered in PD patients and discriminate PD subjects from controls.

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Systemic lupus erythematosus is a heritable autoimmune disease that predominantly affects young women. To improve our understanding of genetic etiology, we conduct multi-ancestry and multi-trait meta-analysis of genome-wide association studies, encompassing 12 systemic lupus erythematosus cohorts from 3 different ancestries and 10 genetically correlated autoimmune diseases, and identify 16 novel loci. We also perform transcriptome-wide association studies, computational drug repurposing analysis, and cell type enrichment analysis.

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Article Synopsis
  • Genome-wide fragmentation patterns of cell-free DNA (cfDNA) in plasma are influenced by the cellular origin, which varies between healthy and cancerous cells, presenting an opportunity for new cancer diagnostics.
  • The study analyzed cfDNA from 2,668 samples, including those from healthy individuals and patients with 11 different cancer types, using a novel metric called information-weighted fraction of aberrant fragments (iwFAF) to identify tumor-derived DNA in blood samples.
  • A machine learning model was developed using iwFAF and specific nucleotide frequencies, achieving a high accuracy in distinguishing between healthy and cancer patients, with an AUC of 0.91 for any cancer stage and 0.87 for early-stage detection, while requiring only
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Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with autoimmune diseases and provided unique mechanistic insights and informed novel treatments. These individual genetic variants on their own typically confer a small effect of disease risk with limited predictive power; however, when aggregated (e.g.

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Circulating tumor DNA (ctDNA) in blood plasma is present at very low concentrations compared to cell-free DNA (cfDNA) of non-tumor origin. To enhance ctDNA detection, recent studies have been focused on understanding the non-random fragmentation pattern of cfDNA. These studies have investigated fragment sizes, genomic position of fragment end points, and fragment end motifs.

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Article Synopsis
  • The study explores using metagenomic sequencing to analyze bacterial DNA in plasma for early detection of sepsis in critically ill patients.
  • The research involved 30 patients, analyzing 72 plasma samples over time, showing higher bacterial DNA levels in samples collected during active infections.
  • The findings suggest that measuring bacterial DNA levels can identify and monitor infections more accurately than traditional microbial cultures, potentially improving patient outcomes.
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Cell-free DNA (cfDNA) in urine is a promising analyte for noninvasive diagnostics. However, urine cfDNA is highly fragmented. Whether characteristics of these fragments reflect underlying genomic architecture is unknown.

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The detailed molecular characterization of lethal cancers is a prerequisite to understanding resistance to therapy and escape from cancer immunoediting. We performed extensive multi-platform profiling of multi-regional metastases in autopsies from 10 patients with therapy-resistant breast cancer. The integrated genomic and immune landscapes show that metastases propagate and evolve as communities of clones, reveal their predicted neo-antigen landscapes, and show that they can accumulate HLA loss of heterozygosity (LOH).

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Pre-analytical factors can significantly affect circulating cell-free DNA (cfDNA) analysis. However, there are few robust methods to rapidly assess sample quality and the impact of pre-analytical processing. To address this gap and to evaluate effects of DNA extraction methods and blood collection tubes on cfDNA yield and fragment size, we developed a multiplexed droplet digital PCR (ddPCR) assay with 5 short and 4 long amplicons targeting single copy genomic loci.

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