Publications by authors named "Nick Shrine"

Article Synopsis
  • Respiratory infections are a major global health issue, but the genetic factors influencing them are not well understood, leading to this study that aimed to investigate genetic determinants through genome-wide association studies (GWAS).
  • The research analyzed data from 19,459 patients with respiratory infections and 101,438 controls in Stage 1, discovering 56 significant genetic signals, including one strong signal related to a gene important for immune response, but the follow-up Stage 2 study did not replicate these findings.
  • Possible reasons for the lack of replication include variations in how the studies were conducted and differences in patient populations, but the research suggests a novel gene may be linked to susceptibility to respiratory infections, warranting further investigation.
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Background: Preserved ratio impaired spirometry (PRISm) is defined as a forced expiratory volume in 1 s (FEV) <80% predicted and FEV/forced vital capacity ≥0.70. PRISm is associated with respiratory symptoms and comorbidities.

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Thyroid hormones play a critical role in regulation of multiple physiological functions and thyroid dysfunction is associated with substantial morbidity. Here, we use electronic health records to undertake a genome-wide association study of thyroid-stimulating hormone (TSH) levels, with a total sample size of 247,107. We identify 158 novel genetic associations, more than doubling the number of known associations with TSH, and implicate 112 putative causal genes, of which 76 are not previously implicated.

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Background & Aims: Non-alcoholic fatty liver disease (NAFLD) is a complex trait with an estimated prevalence of 25% globally. We aimed to identify the genetic variant underlying a four-generation family with progressive NAFLD leading to cirrhosis, decompensation, and development of hepatocellular carcinoma in the absence of common risk factors such as obesity and type 2 diabetes.

Methods: Exome sequencing and genome comparisons were used to identify the likely causal variant.

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Article Synopsis
  • Chronic sputum production negatively affects quality of life and this study aims to identify genetic factors linked to this condition through a genome-wide association study (GWAS) involving over 9,700 cases.
  • The GWAS found six significant genetic signals related to chronic sputum production, particularly pinpointing associations with the human leukocyte antigen (HLA) locus and mucin loci, which are also connected to respiratory conditions like asthma.
  • Further analysis revealed that these genetic signals are linked to various health conditions and suggest that mucin fucosylation may play a key role in chronic sputum production.
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  • A major study involving 580,869 participants identified 1,020 genetic signals linked to lung function impairment, which is crucial in understanding chronic obstructive pulmonary disease (COPD) and predicting mortality.
  • * The research found 559 genes related to lung function that were connected to 29 different biological pathways and demonstrated variations across ancestry, age, and smoking habits.
  • * Findings suggest potential new targets for therapy by highlighting specific genetic variants and proteins, ultimately contributing to better understanding and treatment of COPD.
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Chronic Obstructive Pulmonary Disease (COPD) has a simple physiological diagnostic criterion but a wide range of clinical characteristics. The mechanisms underlying this variability in COPD phenotypes are unclear. To investigate the potential contribution of genetic variants to phenotypic heterogeneity, we examined the association of genome-wide associated lung function, COPD, and asthma variants with other phenotypes using phenome-wide association results derived in the UK Biobank.

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Article Synopsis
  • DeepPheWAS is an R package designed for phenome-wide association studies, enabling the creation of composite phenotypes using data from primary care and disease progression.
  • It offers tools for analyzing genetic associations, allowing for various models and optional sex-stratified analysis, making it versatile for researchers.
  • The package can be accessed for free on GitHub and has supplementary information available online at Bioinformatics.
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Article Synopsis
  • - Smoking is a major risk factor for many leading causes of death globally, with 80% of the 1.3 billion smokers living in low- and middle-income countries; deaths from tobacco use are projected to double in the next decade.
  • - A genome-wide association study was conducted on smoking behaviors among 10,558 men of African ancestry across five African countries and the UK, identifying eight genetic variants linked to smoking initiation and cessation.
  • - The study emphasizes the importance of including underrepresented populations in genetic research and calls for larger genomic studies to enhance our understanding of smoking behaviors and other traits.
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Background: The role of copy number variants (CNVs) in susceptibility to asthma is not well understood. This is, in part, due to the difficulty of accurately measuring CNVs in large enough sample sizes to detect associations. The recent availability of whole-exome sequencing (WES) in large biobank studies provides an unprecedented opportunity to study the role of CNVs in asthma.

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Article Synopsis
  • Eosinophils are linked to airway inflammation and their regulation, particularly by interleukin-5, impacts conditions like asthma, but their role in chronic obstructive pulmonary disease (COPD) is unclear.
  • The study used Mendelian randomization to explore the relationship between eosinophils and various respiratory issues, analyzing genetic variants and lung function among participants from the UK Biobank.
  • Findings indicate that increased eosinophils may raise the risk of asthma-COPD overlap and moderate-severe asthma, while negatively affecting lung function, but caution is advised due to the complexity of the underlying mechanisms.
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Article Synopsis
  • Some individuals display characteristics of both asthma and COPD, leading to a condition known as asthma-COPD overlap, which yields worse health outcomes compared to having either condition alone.
  • The study aimed to explore the genetic factors behind asthma-COPD overlap and how these differ from those linked to asthma or COPD separately.
  • Researchers identified eight new genetic signals associated with asthma-COPD overlap, revealing a mix of genetic influences related to type 2 inflammation and potential long-term health impacts.
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Background: Impaired lung function is predictive of mortality and is a key component of chronic obstructive pulmonary disease. Lung function has a strong genetic component but is also affected by environmental factors such as increased exposure to air pollution, but the effect of their interactions is not well understood.

Objectives: To identify interactions between genetic variants and air pollution measures which affect COPD risk and lung function.

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Importance: The risk of airflow limitation and chronic obstructive pulmonary disease (COPD) is influenced by combinations of cigarette smoking and genetic susceptibility, yet it remains unclear whether gene-by-smoking interactions are associated with quantitative measures of lung function.

Objective: To assess the interaction of cigarette smoking and polygenic risk score in association with reduced lung function.

Design, Setting, And Participants: This UK Biobank cohort study included UK citizens of European ancestry aged 40 to 69 years with genetic and spirometry data passing quality control metrics.

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Genome-wide association studies have identified numerous common genetic variants associated with spirometric measures of pulmonary function, including forced expiratory volume in one second (FEV), forced vital capacity, and their ratio. However, variants with lower minor allele frequencies are less explored. We conducted a large-scale gene-smoking interaction meta-analysis on exonic rare and low-frequency variants involving 44,429 individuals of European ancestry in the discovery stage and sought replication in the UK BiLEVE study with 45,133 European ancestry samples and UK Biobank study with 59,478 samples.

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Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females.

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Homozygosity for the Z allele causes α-antitrypsin deficiency, a rare condition that can cause lung and liver disease. However, the effects of Z allele heterozygosity on nonrespiratory phenotypes, and on lung function in the general population, remain unclear. We conducted a large, population-based study to determine Z allele effects on >2400 phenotypes in the UK Biobank (N=303 353).

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Treatment-resistant depression (TRD) is a major contributor to the disability caused by major depressive disorder (MDD). Primary care electronic health records provide an easily accessible approach to investigate TRD clinical and genetic characteristics. MDD defined from primary care records in UK Biobank (UKB) and EXCEED studies was compared with other measures of depression and tested for association with MDD polygenic risk score (PRS).

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Risk of chronic obstructive pulmonary disease (COPD) is determined by both cigarette smoking and genetic susceptibility, but little is known about gene-by-smoking interactions. We performed a genome-wide association analysis of 179,689 controls and 21,077 COPD cases from UK Biobank subjects of European ancestry recruited from 2006 to 2010, considering genetic main effects and gene-by-smoking interaction effects simultaneously (2-degrees-of-freedom (df) test) as well as interaction effects alone (1-df interaction test). We sought to replicate significant results in COPDGene (United States, 2008-2010) and SpiroMeta Consortium (multiple countries, 1947-2015) data.

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Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans.

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Background: Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes.

Methods: We constructed a polygenic risk score using a genome-wide association study of lung function (FEV and FEV/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta.

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Background: Asthma is a complex disease with multiple phenotypes that may differ in disease pathobiology and treatment response. IL33 single nucleotide polymorphisms (SNPs) have been reproducibly associated with asthma. IL33 levels are elevated in sputum and bronchial biopsies of patients with asthma.

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