Biomedical subjects

Julian C Knight

Publications and source records attributed to Julian C Knight.

8 recordsLinked to original sources

PubMed2024

eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis.

Sepsis is a clinical syndrome of life-threatening organ dysfunction caused by a dysregulated response to infection, for which disease heterogeneity is a major obstacle to developing targeted treatments. We have previously identified gene-expression-based patient subgroups (sepsis response signatures [SRS]) informative for outcome and underlying pathophysiology. Here, we aimed to investigate the role of genetic variation in determining the host transcriptomic response and to delineate regulatory networks underlying SRS. Using genotyping and RNA-sequencing data on 638 adult sepsis patients, we report 16,049 independent expression (eQTLs) and 32 co-expression module (modQTLs) quantitative trait loci in this disease context. We identified significant interactions between SRS and genotype for 1,578 SNP-gene pairs and combined transcription factor (TF) binding site information (SNP2TFBS) and predicted regulon activity (DoRothEA) to identify candidate upstream regulators. Overall, these approaches identified putative mechanistic links between host genetic variation, cell subtypes, and the individual transcriptomic response to infection.

Humans↗

PubMed2024

Characterization of the genetic determinants of context-specific DNA methylation in primary monocytes.

To better understand inter-individual variation in sensitivity of DNA methylation (DNAm) to immune activity, we characterized effects of inflammatory stimuli on primary monocyte DNAm (n = 190). We find that monocyte DNAm is site-dependently sensitive to lipopolysaccharide (LPS), with LPS-induced demethylation occurring following hydroxymethylation. We identify 7,359 high-confidence immune-modulated CpGs (imCpGs) that differ in genomic localization and transcription factor usage according to whether they represent a gain or loss in DNAm. Demethylated imCpGs are profoundly enriched for enhancers and colocalize to genes enriched for disease associations, especially cancer. DNAm is age associated, and we find that 24-h LPS exposure triggers approximately 6 months of gain in epigenetic age, directly linking epigenetic aging with innate immune activity. By integrating LPS-induced changes in DNAm with genetic variation, we identify 234 imCpGs under local genetic control. Exploring shared causal loci between LPS-induced DNAm responses and human disease traits highlights examples of disease-associated loci that modulate imCpG formation.

Adult↗

PubMed2006

The chromosome 6p22 haplotype associated with dyslexia reduces the expression of KIAA0319, a novel gene involved in neuronal migration.

Dyslexia is one of the most prevalent childhood cognitive disorders, affecting approximately 5% of school-age children. We have recently identified a risk haplotype associated with dyslexia on chromosome 6p22.2 which spans the TTRAP gene and portions of THEM2 and KIAA0319. Here we show that in the presence of the risk haplotype, the expression of the KIAA0319 gene is reduced but the expression of the other two genes remains unaffected. Using in situ hybridization, we detect a very distinct expression pattern of the KIAA0319 gene in the developing cerebral neocortex of mouse and human fetuses. Moreover, interference with rat Kiaa0319 expression in utero leads to impaired neuronal migration in the developing cerebral neocortex. These data suggest a direct link between a specific genetic background and a biological mechanism leading to the development of dyslexia: the risk haplotype on chromosome 6p22.2 down-regulates the KIAA0319 gene which is required for neuronal migration during the formation of the cerebral neocortex.

Animals↗

PubMed2006

Analysis of allele-specific gene expression.

The analysis of allele-specific gene expression has been of long-standing interest in the study of genomic imprinting, but there is growing awareness that differences in allelic expression are widespread among autosomal nonimprinted genes. Recent research into cis-acting regulatory polymorphisms has utilized the analysis of allele-specific gene expression to identify functionally important regulatory haplotypes and specific genetic polymorphisms. Allele-specific effects are typically of modest magnitude, requiring techniques for analysis of high sensitivity and specificity. Here, strategic approaches to the analysis of allele-specific gene expression are reviewed with protocols for in vivo analysis. These include analysis of the relative allelic abundance of transcribed RNA and of transcription factor recruitment and Pol II loading by chromatin immunoprecipitation.

Alleles↗

PubMed2004

Regulatory polymorphisms underlying complex disease traits.

There is growing evidence that genetic variation plays an important role in the determination of individual susceptibility to complex disease traits. In contrast to coding sequence polymorphisms, where the consequences of non-synonymous variation may be resolved at the level of the protein phenotype, defining specific functional regulatory polymorphisms has proved problematic. This has arisen for a number of reasons, including difficulties with fine mapping due to linkage disequilibrium, together with a paucity of experimental tools to resolve the effects of non-coding sequence variation on gene expression. Recent studies have shown that variation in gene expression is heritable and can be mapped as a quantitative trait. Allele-specific effects on gene expression appear relatively common, typically of modest magnitude and context specific. The role of regulatory polymorphisms in determining susceptibility to a number of complex disease traits is discussed, including variation at the VNTR of INS, encoding insulin, in type 1 diabetes and polymorphism of CTLA4, encoding cytotoxic T lymphocyte antigen, in autoimmune disease. Examples where regulatory polymorphisms have been found to play a role in mongenic traits such as factor VII deficiency are discussed, and contrasted with those polymorphisms associated with ischaemic heart disease at the same gene locus. Molecular mechanisms operating in an allele-specific manner at the level of transcription are illustrated, with examples including the role of Duffy binding protein in malaria. The difficulty of resolving specific functional regulatory variants arising from linkage disequilibrium is demonstrated using a number of examples including polymorphism of CCR5, encoding CC chemokine receptor 5, and HIV-1 infection. The importance of understanding haplotypic structure to the design and interpretation of functional assays of putative regulatory variation is highlighted, together with discussion of the strategic use of experimental tools to resolve regulatory polymorphisms at a transcriptional level. A number of examples are discussed including work on the TNF locus which demonstrate biological and experimental context specificity. Regulatory variation may also operate at other levels of control of gene expression and the modulation of splicing at PTPRC, encoding protein tyrosine phosphatase receptor-type C, and of translational efficiency at F12, encoding factor XII, are discussed.

Autoimmune Diseases↗

PubMed2004

Allele-specific repression of lymphotoxin-alpha by activated B cell factor-1.

Genetic variation at the human LTA locus, encoding lymphotoxin-alpha, is associated with susceptibility to myocardial infarction, asthma and other diseases. By detailed haplotypic analysis of the locus, we identified a single-nucleotide polymorphism (SNP) at LTA+80 as a main predictor of LTA protein production by human B cells. We found that activated B-cell factor-1 (ABF-1) binds to this site in vitro and suppresses reporter gene expression, but only in the presence of the LTA+80A allele. Using haplotype-specific chromatin immunoprecipitation, we confirmed that ABF-1 is preferentially recruited to the low-producer allele in vivo. These findings provide a molecular model of how LTA expression may be genetically regulated by allele-specific recruitment of the transcriptional repressor ABF-1.

Alleles↗

PubMed2003

In vivo characterization of regulatory polymorphisms by allele-specific quantification of RNA polymerase loading.

In vivo characterization of regulatory polymorphisms is a key requirement for next-generation human genetic analysis. Here we describe haploChIP, a method that uses chromatin immunoprecipitation (ChIP) and mass spectrometry to identify differential protein-DNA binding in vivo associated with allelic variants of a gene. We demonstrate this approach with the imprinted gene SNRPN. HaploChIP showed close correlation between the level of bound phosphorylated RNA polymerase II at the SNRPN locus and allele-specific expression. Application of the approach to the TNF/LTA locus identified functionally important haplotypes that correlate with allele-specific transcription of LTA. The haploChIP method may be useful in high-throughput screening for common DNA polymorphisms that affect gene regulation in vivo.

Alleles↗

PubMed2003

Functional implications of genetic variation in non-coding DNA for disease susceptibility and gene regulation.

The role of host genetic variation in determining susceptibility to complex disease traits is the subject of much research effort, but it often remains unclear whether disease-associated genetic polymorphisms are themselves functionally relevant or acting only as markers within an extended haplotype. Experimental approaches to investigate the functional impact of polymorphisms in non-coding regulatory DNA sequences for gene expression are discussed, including the role of gel-shift assays, DNA footprinting and reporter gene analysis. The limitations of different experimental approaches are presented together with future prospects for in vivo analysis. The strategic application of these functional approaches is discussed and illustrated by analysis of the role of genetic variation in the tumour necrosis factor promoter region in determining susceptibility to severe malaria.

DNA↗