Biomedical subjects

Joseph L McClay

Publications and source records attributed to Joseph L McClay.

5 recordsLinked to original sources

PubMed2026

Epigenetic age acceleration is not strongly associated with cardiorespiratory fitness in heart failure: a pilot study.

BACKGROUND: In heart failure (HF), standard measures such as left ventricular ejection fraction and cardiopulmonary exercise testing incompletely capture interindividual differences in disease status or prognosis. DNA methylation (DNAm) epigenetic clocks, which estimate biological age and epigenetic age acceleration (EAA), may provide complementary insight into cardiorespiratory fitness and systemic aging in HF. RESEARCH DESIGN AND METHODS: We analyzed peripheral blood DNAm from fourteen patients enrolled in REDHART2, a clinical trial of interleukin-1 blockade following hospitalization for acute systolic HF. Genome-wide DNAm was assayed using Illumina EPIC arrays and several clocks were applied to these data. Associations between biological age or EAA and cardiorespiratory fitness measures, inflammatory markers, and clinical parameters were evaluated. RESULTS: All epigenetic clocks demonstrated moderate to strong correlations with chronological age. Biological age was consistently associated with measures of cardiorespiratory fitness, particularly oxygen consumption normalized to fat free mass (VO2_FFM). However, chronological age showed similar associations, and biological age did not significantly improve prediction of VO2 parameters beyond chronological age alone. EAA was not significantly associated with cardiorespiratory fitness for any clock. CONCLUSIONS: In this pilot study, neither biological age nor EAA provided significant predictive value beyond chronological age for cardiorespiratory fitness in patients with HF. CLINICAL TRIAL REGISTRATION NUMBER: NCT03797001.

DNA methylation↗

PubMed2026

Beyond blacklists: a critical assessment of exclusion set generation strategies and alternative approaches.

MOTIVATION: Short-read sequencing data can be affected by alignment artifacts in certain genomic regions. Removing reads overlapping these exclusion regions, previously known as Blacklists, help to potentially improve biological signal. Alternatively, "sponge" or decoy sequences have been proposed to reduce alignment artifacts. RESULTS: We examined the widely used Blacklist software and found that pre-generated exclusion sets were difficult to reproduce due to sensitivity to input data, aligner choice, and read length. We further explored the use of "sponge" sequences-unassembled genomic regions such as satellite DNA, ribosomal DNA, and mitochondrial DNA-as an alternative approach. We additionally investigated the effect of the T2T-CHM13 genome assembly on improving biological signals. Aligning reads to a genome that includes sponge sequences reduced signal correlation in ChIP-seq data comparably to Blacklist-derived exclusion sets while preserving biological signal. Sponge-based alignment also had minimal impact on RNA-seq gene counts, suggesting broader applicability beyond chromatin profiling. These results highlight the limitations of fixed exclusion sets, and recommend the use of the T2T-CHM13 assembly or, for the hg38 genome assembly, "sponge" sequences as an alignment-guided strategy for reducing artifacts and improving functional genomics analyses.

Software↗

PubMed2025

Beyond Blacklists: A Critical Assessment of Exclusion Set Generation Strategies and Alternative Approaches.

Short-read sequencing data can be affected by alignment artifacts in certain genomic regions. Removing reads overlapping these exclusion regions, previously known as Blacklists, help to potentially improve biological signal. Tools like the widely used Blacklist software facilitate this process, but their algorithmic details and parameter choices are not always clearly documented, affecting reproducibility and biological relevance. We examined the Blacklist software and found that pre-generated exclusion sets were difficult to reproduce due to variability in input data, aligner choice, and read length. We also identified and addressed a coding issue that led to over-annotation of high-signal regions. We further explored the use of "sponge" sequences-unassembled genomic regions such as satellite DNA, ribosomal DNA, and mitochondrial DNA-as an alternative approach. Aligning reads to a genome that includes sponge sequences reduced signal correlation in ChIP-seq data comparably to Blacklist-derived exclusion sets while preserving biological signal. Sponge-based alignment also had minimal impact on RNA-seq gene counts, suggesting broader applicability beyond chromatin profiling. These results highlight the limitations of fixed exclusion sets and suggest that sponge sequences offer a flexible, alignment-guided strategy for reducing artifacts and improving functional genomics analyses.

Journal Article↗

PubMed2005

Variance component analysis of polymorphic metabolic systems.

The relationship between mechanistic allelic interaction in multi-gene systems and genetic contribution to population variance remains poorly understood. In order to address this problem, dynamic cellular processes must be reconciled with individual differences in a population. We suggest an approach to enable this for metabolic systems, whereby steady-state biomarker concentrations are calculated for individual systems carrying different alleles. As proof of principle, we simulated two versions of a three enzyme linear synthesis pathway, in a multi-level framework from transcription to enzyme action. The first (Standard) model incorporated conventional kinetics, whilst an analogous model included negative feedback in the form of competitive inhibition (CI). Alleles were allowed to confer different transcription rates, and genetic components of variance in biomarker concentration calculated for populations of each system type. Initial simulations of high and low expression alleles revealed substantial genetic additivity and some dominance for both system architectures. For the Standard model population, each of the three genes contributed equally, whereas CI substantially altered the relative importance of individual genes. Epistasis was limited for both model populations, never rising above 5% in extensive parameter explorations. Subsequent simulations examined a wide range of allelic transcription rates, from almost null to three orders of magnitude above baseline. Again, for both model architectures, additive and dominance effects were most prevalent, but epistasis increased substantially as allelic effects approached null. We conclude that the nature of allelic contribution to variance is dependent upon both the magnitude of conferred effect and the structure of the system in which it is embedded, and relatively little on other system parameters. We believe that implementation of this approach holds promise of a better understanding of the genotype to phenotype transition, particularly in integrating small allelic effects into larger frameworks.

Alleles↗

PubMed2002

High-throughput single-nucleotide polymorphism genotyping by fluorescent competitive allele-specific polymerase chain reaction (SNiPTag).

Single nucleotide polymorphisms (SNPs) are becoming widely recognized as the new currency for gene mapping as increasing numbers are discovered. Here we outline a method for their rapid analysis based on an allele-specific polymerase chain reaction (PCR) which employs a competitive approach, whereby both allele-specific primers are present in the same reaction and carry different fluorescent labels. This procedure is simple and amenable to high-throughput genotyping using conventional automated sequencing equipment, and no post-PCR modifications are required. Verification of the procedure was carried out by comparison of results derived by this method with those from restriction enzyme digestion of the ALDH2 exon 12 functional polymorphism (Glu-487-Lys) in 109 individuals. Additionally, we have examined all combinations of nucleotide substitutions and shown them to be differentiated by this method. As proof of concept, several assays were combined and loaded on a single gel lane/capillary to substantially improve throughput. This was made possible by designing the PCR products to be of different lengths and no interference was observed between products differing in size by only six nucleotides. We outline a number of test assays for well-characterized SNPs in human candidate genes for behavioral disorders.

Aldehyde Dehydrogenase↗