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Featured researches published by Nick Shrine.


PLOS ONE | 2011

A Comprehensive Evaluation of Potential Lung Function Associated Genes in the SpiroMeta General Population Sample

Ma’en Obeidat; Louise V. Wain; Nick Shrine; Noor Kalsheker; María Soler Artigas; Emmanouela Repapi; Paul R. Burton; Toby Johnson; Adaikalavan Ramasamy; Jing Hua Zhao; Guangju Zhai; Jennifer E. Huffman; Veronique Vitart; Eva Albrecht; Wilmar Igl; Anna-Liisa Hartikainen; Anneli Pouta; Gemma Cadby; Jennie Hui; Lyle J. Palmer; David Hadley; Wendy L. McArdle; Alicja R. Rudnicka; Inês Barroso; Ruth J. F. Loos; Nicholas J. Wareham; Massimo Mangino; Nicole Soranzo; Tim D. Spector; Sven Gläser

Rationale Lung function measures are heritable traits that predict population morbidity and mortality and are essential for the diagnosis of chronic obstructive pulmonary disease (COPD). Variations in many genes have been reported to affect these traits, but attempts at replication have provided conflicting results. Recently, we undertook a meta-analysis of Genome Wide Association Study (GWAS) results for lung function measures in 20,288 individuals from the general population (the SpiroMeta consortium). Objectives To comprehensively analyse previously reported genetic associations with lung function measures, and to investigate whether single nucleotide polymorphisms (SNPs) in these genomic regions are associated with lung function in a large population sample. Methods We analysed association for SNPs tagging 130 genes and 48 intergenic regions (+/−10 kb), after conducting a systematic review of the literature in the PubMed database for genetic association studies reporting lung function associations. Results The analysis included 16,936 genotyped and imputed SNPs. No loci showed overall significant association for FEV1 or FEV1/FVC traits using a carefully defined significance threshold of 1.3×10−5. The most significant loci associated with FEV1 include SNPs tagging MACROD2 (P = 6.81×10−5), CNTN5 (P = 4.37×10−4), and TRPV4 (P = 1.58×10−3). Among ever-smokers, SERPINA1 showed the most significant association with FEV1 (P = 8.41×10−5), followed by PDE4D (P = 1.22×10−4). The strongest association with FEV1/FVC ratio was observed with ABCC1 (P = 4.38×10−4), and ESR1 (P = 5.42×10−4) among ever-smokers. Conclusions Polymorphisms spanning previously associated lung function genes did not show strong evidence for association with lung function measures in the SpiroMeta consortium population. Common SERPINA1 polymorphisms may affect FEV1 among smokers in the general population.


The Lancet Respiratory Medicine | 2015

Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank.

Louise V. Wain; Nick Shrine; Suzanne Miller; Victoria E. Jackson; Ioanna Ntalla; María Soler Artigas; Charlotte K. Billington; Abdul Kader Kheirallah; Richard J. Allen; James P. Cook; Kelly Probert; Ma'en Obeidat; Yohan Bossé; Ke Hao; Dirkje S. Postma; Peter D. Paré; Adaikalavan Ramasamy; Reedik Mägi; Evelin Mihailov; Eva Reinmaa; Erik Melén; Jared O'Connell; Eleni Frangou; Olivier Delaneau; Colin Freeman; Desislava Petkova; Mark I. McCarthy; Ian Sayers; Panos Deloukas; Richard Hubbard

Summary Background Understanding the genetic basis of airflow obstruction and smoking behaviour is key to determining the pathophysiology of chronic obstructive pulmonary disease (COPD). We used UK Biobank data to study the genetic causes of smoking behaviour and lung health. Methods We sampled individuals of European ancestry from UK Biobank, from the middle and extremes of the forced expiratory volume in 1 s (FEV1) distribution among heavy smokers (mean 35 pack-years) and never smokers. We developed a custom array for UK Biobank to provide optimum genome-wide coverage of common and low-frequency variants, dense coverage of genomic regions already implicated in lung health and disease, and to assay rare coding variants relevant to the UK population. We investigated whether there were shared genetic causes between different phenotypes defined by extremes of FEV1. We also looked for novel variants associated with extremes of FEV1 and smoking behaviour and assessed regions of the genome that had already shown evidence for a role in lung health and disease. We set genome-wide significance at p<5 × 10−8. Findings UK Biobank participants were recruited from March 15, 2006, to July 7, 2010. Sample selection for the UK BiLEVE study started on Nov 22, 2012, and was completed on Dec 20, 2012. We selected 50 008 unique samples: 10 002 individuals with low FEV1, 10 000 with average FEV1, and 5002 with high FEV1 from each of the heavy smoker and never smoker groups. We noted a substantial sharing of genetic causes of low FEV1 between heavy smokers and never smokers (p=2·29 × 10−16) and between individuals with and without doctor-diagnosed asthma (p=6·06 × 10−11). We discovered six novel genome-wide significant signals of association with extremes of FEV1, including signals at four novel loci (KANSL1, TSEN54, TET2, and RBM19/TBX5) and independent signals at two previously reported loci (NPNT and HLA-DQB1/HLA-DQA2). These variants also showed association with COPD, including in individuals with no history of smoking. The number of copies of a 150 kb region containing the 5′ end of KANSL1, a gene that is important for epigenetic gene regulation, was associated with extremes of FEV1. We also discovered five new genome-wide significant signals for smoking behaviour, including a variant in NCAM1 (chromosome 11) and a variant on chromosome 2 (between TEX41 and PABPC1P2) that has a trans effect on expression of NCAM1 in brain tissue. Interpretation By sampling from the extremes of the lung function distribution in UK Biobank, we identified novel genetic causes of lung function and smoking behaviour. These results provide new insight into the specific mechanisms underlying airflow obstruction, COPD, and tobacco addiction, and show substantial shared genetic architecture underlying airflow obstruction across individuals, irrespective of smoking behaviour and other airway disease. Funding Medical Research Council.


Thorax | 2012

Genome-wide association study to identify genetic determinants of severe asthma

Y.I. Wan; Nick Shrine; M. Soler Artigas; Louise V. Wain; John Blakey; Miriam F. Moffatt; Andrew Bush; K. F. Chung; William Cookson; David P. Strachan; Liam Heaney; B.A.H. Al-Momani; Adel Mansur; S. Manney; Neil C. Thomson; Rekha Chaudhuri; Christopher E. Brightling; Mona Bafadhel; Amisha Singapuri; Robert Niven; Angela Simpson; John W. Holloway; Peter H. Howarth; Jennie Hui; Arthur W. Musk; Alan James; Matthew A. Brown; Svetlana Baltic; Manuel A. Ferreira; Philip J. Thompson

Background The genetic basis for developing asthma has been extensively studied. However, association studies to date have mostly focused on mild to moderate disease and genetic risk factors for severe asthma remain unclear. Objective To identify common genetic variants affecting susceptibility to severe asthma. Methods A genome-wide association study was undertaken in 933 European ancestry individuals with severe asthma based on Global Initiative for Asthma (GINA) criteria 3 or above and 3346 clean controls. After standard quality control measures, the association of 480 889 genotyped single nucleotide polymorphisms (SNPs) was tested. To improve the resolution of the association signals identified, non-genotyped SNPs were imputed in these regions using a dense reference panel of SNP genotypes from the 1000 Genomes Project. Then replication of SNPs of interest was undertaken in a further 231 cases and 1345 controls and a meta-analysis was performed to combine the results across studies. Results An association was confirmed in subjects with severe asthma of loci previously identified for association with mild to moderate asthma. The strongest evidence was seen for the ORMDL3/GSDMB locus on chromosome 17q12-21 (rs4794820, p=1.03×10(−8) following meta-analysis) meeting genome-wide significance. Strong evidence was also found for the IL1RL1/IL18R1 locus on 2q12 (rs9807989, p=5.59×10(−8) following meta-analysis) just below this threshold. No novel loci for susceptibility to severe asthma met strict criteria for genome-wide significance. Conclusions The largest genome-wide association study of severe asthma to date was carried out and strong evidence found for the association of two previously identified asthma susceptibility loci in patients with severe disease. A number of novel regions with suggestive evidence were also identified warranting further study.


American Journal of Respiratory and Critical Care Medicine | 2012

Genome-Wide Association Studies Identify CHRNA5/3 and HTR4 in the Development of Airflow Obstruction

Jemma B. Wilk; Nick Shrine; Laura R. Loehr; Jing Hua Zhao; Ani Manichaikul; Lorna M. Lopez; Albert V. Smith; Susan R. Heckbert; Joanna Smolonska; Wenbo Tang; Daan W. Loth; Ivan Curjuric; Jennie Hui; Michael H. Cho; Jeanne C. Latourelle; Amanda P. Henry; Melinda C. Aldrich; Per Bakke; Terri H. Beaty; Amy R. Bentley; Ingrid B. Borecki; Guy Brusselle; Kristin M. Burkart; Ting Hsu Chen; David Couper; James D. Crapo; Gail Davies; Josée Dupuis; Nora Franceschini; Amund Gulsvik

RATIONALE Genome-wide association studies (GWAS) have identified loci influencing lung function, but fewer genes influencing chronic obstructive pulmonary disease (COPD) are known. OBJECTIVES Perform meta-analyses of GWAS for airflow obstruction, a key pathophysiologic characteristic of COPD assessed by spirometry, in population-based cohorts examining all participants, ever smokers, never smokers, asthma-free participants, and more severe cases. METHODS Fifteen cohorts were studied for discovery (3,368 affected; 29,507 unaffected), and a population-based family study and a meta-analysis of case-control studies were used for replication and regional follow-up (3,837 cases; 4,479 control subjects). Airflow obstruction was defined as FEV(1) and its ratio to FVC (FEV(1)/FVC) both less than their respective lower limits of normal as determined by published reference equations. MEASUREMENTS AND MAIN RESULTS The discovery meta-analyses identified one region on chromosome 15q25.1 meeting genome-wide significance in ever smokers that includes AGPHD1, IREB2, and CHRNA5/CHRNA3 genes. The region was also modestly associated among never smokers. Gene expression studies confirmed the presence of CHRNA5/3 in lung, airway smooth muscle, and bronchial epithelial cells. A single-nucleotide polymorphism in HTR4, a gene previously related to FEV(1)/FVC, achieved genome-wide statistical significance in combined meta-analysis. Top single-nucleotide polymorphisms in ADAM19, RARB, PPAP2B, and ADAMTS19 were nominally replicated in the COPD meta-analysis. CONCLUSIONS These results suggest an important role for the CHRNA5/3 region as a genetic risk factor for airflow obstruction that may be independent of smoking and implicate the HTR4 gene in the etiology of airflow obstruction.


Nature Genetics | 2017

Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis

Brian D. Hobbs; Kim de Jong; Maxime Lamontagne; Yohan Bossé; Nick Shrine; María Soler Artigas; Louise V. Wain; Ian P. Hall; Victoria E. Jackson; Annah B. Wyss; Stephanie J. London; Kari E. North; Nora Franceschini; David P. Strachan; Terri H. Beaty; John E. Hokanson; James D. Crapo; Peter J. Castaldi; Robert Chase; Traci M. Bartz; Susan R. Heckbert; Bruce M. Psaty; Sina A. Gharib; Pieter Zanen; Jan Willem J. Lammers; Matthijs Oudkerk; Harry J.M. Groen; Nicholas Locantore; Ruth Tal-Singer; Stephen I. Rennard

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P < 5 × 10−6) in 9,498 cases and 9,748 controls. In the combined meta-analysis, we identified 22 loci associated at genome-wide significance, including 13 new associations with COPD. Nine of these 13 loci have been associated with lung function in general population samples, while 4 (EEFSEC, DSP, MTCL1, and SFTPD) are new. We noted two loci shared with pulmonary fibrosis (FAM13A and DSP) but that had opposite risk alleles for COPD. None of our loci overlapped with genome-wide associations for asthma, although one locus has been implicated in joint susceptibility to asthma and obesity. We also identified genetic correlation between COPD and asthma. Our findings highlight new loci associated with COPD, demonstrate the importance of specific loci associated with lung function to COPD, and identify potential regions of genetic overlap between COPD and other respiratory diseases.


Nature Communications | 2015

Sixteen new lung function signals identified through 1000 Genomes Project reference panel imputation.

María Soler Artigas; Louise V. Wain; Suzanne Miller; Abdul Kader Kheirallah; Jennifer E. Huffman; Ioanna Ntalla; Nick Shrine; Ma’en Obeidat; Holly Trochet; Wendy L. McArdle; Alexessander Couto Alves; Jennie Hui; Jing Hua Zhao; Peter K. Joshi; Alexander Teumer; Eva Albrecht; Medea Imboden; Rajesh Rawal; Lorna M. Lopez; Jonathan Marten; Stefan Enroth; Ida Surakka; Ozren Polasek; Leo-Pekka Lyytikäinen; Raquel Granell; Pirro G. Hysi; Claudia Flexeder; Anubha Mahajan; John Beilby; Yohan Bossé

Lung function measures are used in the diagnosis of chronic obstructive pulmonary disease. In 38,199 European ancestry individuals, we studied genome-wide association of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC with 1000 Genomes Project (phase 1)-imputed genotypes and followed up top associations in 54,550 Europeans. We identify 14 novel loci (P<5 × 10−8) in or near ENSA, RNU5F-1, KCNS3, AK097794, ASTN2, LHX3, CCDC91, TBX3, TRIP11, RIN3, TEKT5, LTBP4, MN1 and AP1S2, and two novel signals at known loci NPNT and GPR126, providing a basis for new understanding of the genetic determinants of these traits and pulmonary diseases in which they are altered.


Nature Genetics | 2016

Haplotype estimation for biobank-scale data sets

Jared O'Connell; Kevin Sharp; Nick Shrine; Louise V. Wain; Ian P. Hall; Martin D. Tobin; Jean-François Zagury; Olivier Delaneau; Jonathan Marchini

The UK Biobank (UKB) has recently released genotypes on 152,328 individuals together with extensive phenotypic and lifestyle information. We present a new phasing method, SHAPEIT3, that can handle such biobank-scale data sets and results in switch error rates as low as ∼0.3%. The method exhibits O(NlogN) scaling with sample size N, enabling fast and accurate phasing of even larger cohorts.


PLOS Genetics | 2014

Whole Exome Re-Sequencing Implicates CCDC38 and Cilia Structure and Function in Resistance to Smoking Related Airflow Obstruction

Louise V. Wain; Ian Sayers; María Soler Artigas; Michael A. Portelli; Eleftheria Zeggini; Ma’en Obeidat; Don D. Sin; Yohan Bossé; David C. Nickle; Corry-Anke Brandsma; Anders Mälarstig; Ciara Vangjeli; Scott A. Jelinsky; Sally John; Iain Kilty; Tricia M. McKeever; Nick Shrine; James P. Cook; Shrina Patel; Tim D. Spector; Edward J. Hollox; Ian P. Hall; Martin D. Tobin

Chronic obstructive pulmonary disease (COPD) is a leading cause of global morbidity and mortality and, whilst smoking remains the single most important risk factor, COPD risk is heritable. Of 26 independent genomic regions showing association with lung function in genome-wide association studies, eleven have been reported to show association with airflow obstruction. Although the main risk factor for COPD is smoking, some individuals are observed to have a high forced expired volume in 1 second (FEV1) despite many years of heavy smoking. We hypothesised that these “resistant smokers” may harbour variants which protect against lung function decline caused by smoking and provide insight into the genetic determinants of lung health. We undertook whole exome re-sequencing of 100 heavy smokers who had healthy lung function given their age, sex, height and smoking history and applied three complementary approaches to explore the genetic architecture of smoking resistance. Firstly, we identified novel functional variants in the “resistant smokers” and looked for enrichment of these novel variants within biological pathways. Secondly, we undertook association testing of all exonic variants individually with two independent control sets. Thirdly, we undertook gene-based association testing of all exonic variants. Our strongest signal of association with smoking resistance for a non-synonymous SNP was for rs10859974 (P = 2.34×10−4) in CCDC38, a gene which has previously been reported to show association with FEV1/FVC, and we demonstrate moderate expression of CCDC38 in bronchial epithelial cells. We identified an enrichment of novel putatively functional variants in genes related to cilia structure and function in resistant smokers. Ciliary function abnormalities are known to be associated with both smoking and reduced mucociliary clearance in patients with COPD. We suggest that genetic influences on the development or function of cilia in the bronchial epithelium may affect growth of cilia or the extent of damage caused by tobacco smoke.


The Lancet Respiratory Medicine | 2017

Genetic variants associated with susceptibility to idiopathic pulmonary fibrosis in people of European ancestry: a genome-wide association study

Richard J. Allen; Joanne Porte; Rebecca Braybrooke; Carlos Flores; Tasha E. Fingerlin; Justin M. Oldham; Beatriz Guillen-Guio; Shwu Fan Ma; Tsukasa Okamoto; Alison E. John; Ma'en Obeidat; Ivana V. Yang; Amanda P. Henry; Richard Hubbard; Vidya Navaratnam; Gauri Saini; Norma Thompson; Helen Booth; Simon P. Hart; Michael Hill; Nik Hirani; Toby M. Maher; Robin J. McAnulty; Ab Millar; Philip L. Molyneaux; H Parfrey; Doris Rassl; Moira K. B. Whyte; William A. Fahy; Richard P. Marshall

Summary Background Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease with high mortality, uncertain cause, and few treatment options. Studies have identified a significant genetic risk associated with the development of IPF; however, mechanisms by which genetic risk factors promote IPF remain unclear. We aimed to identify genetic variants associated with IPF susceptibility and provide mechanistic insight using gene and protein expression analyses. Methods We used a two-stage approach: a genome-wide association study in patients with IPF of European ancestry recruited from nine different centres in the UK and controls selected from UK Biobank (stage 1) matched for age, sex, and smoking status; and a follow-up of associated genetic variants in independent datasets of patients with IPF and controls from two independent US samples from the Chicago consortium and the Colorado consortium (stage 2). We investigated the effect of novel signals on gene expression in large transcriptomic and genomic data resources, and examined expression using lung tissue samples from patients with IPF and controls. Findings 602 patients with IPF and 3366 controls were selected for stage 1. For stage 2, 2158 patients with IPF and 5195 controls were selected. We identified a novel genome-wide significant signal of association with IPF susceptibility near A-kinase anchoring protein 13 (AKAP13; rs62025270, odds ratio [OR] 1·27 [95% CI 1·18–1·37], p=1·32 × 10−9) and confirmed previously reported signals, including in mucin 5B (MUC5B; rs35705950, OR 2·89 [2·56–3·26], p=1·12 × 10−66) and desmoplakin (DSP; rs2076295, OR 1·44 [1·35–1·54], p=7·81 × 10−28). For rs62025270, the allele A associated with increased susceptibility to IPF was also associated with increased expression of AKAP13 mRNA in lung tissue from patients who had lung resection procedures (n=1111). We showed that AKAP13 is expressed in the alveolar epithelium and lymphoid follicles from patients with IPF, and AKAP13 mRNA expression was 1·42-times higher in lung tissue from patients with IPF (n=46) than that in lung tissue from controls (n=51). Interpretation AKAP13 is a Rho guanine nucleotide exchange factor regulating activation of RhoA, which is known to be involved in profibrotic signalling pathways. The identification of AKAP13 as a susceptibility gene for IPF increases the prospect of successfully targeting RhoA pathway inhibitors in patients with IPF. Funding UK Medical Research Council, National Heart, Lung, and Blood Institute of the US National Institutes of Health, Agencia Canaria de Investigación, Innovación y Sociedad de la Información, Spain, UK National Institute for Health Research, and the British Lung Foundation.


Journal of Clinical Investigation | 2017

Phenotypic and pharmacogenetic evaluation of patients with thiazide-induced hyponatremia

James S. Ware; Louise V. Wain; Sarath K. Channavajjhala; Victoria E. Jackson; Elizabeth Edwards; Run Lu; Keith Siew; Wenjing Jia; Nick Shrine; Sue Kinnear; Mahli Jalland; Amanda P. Henry; Jenny Clayton; Kevin M. O’Shaughnessy; Martin D. Tobin; Victor L. Schuster; Stuart A. Cook; Ian P. Hall; Mark Glover

Thiazide diuretics are among the most widely used treatments for hypertension, but thiazide-induced hyponatremia (TIH), a clinically significant adverse effect, is poorly understood. Here, we have studied the phenotypic and genetic characteristics of patients hospitalized with TIH. In a cohort of 109 TIH patients, those with severe TIH displayed an extended phenotype of intravascular volume expansion, increased free water reabsorption, urinary prostaglandin E2 excretion, and reduced excretion of serum chloride, magnesium, zinc, and antidiuretic hormone. GWAS in a separate cohort of 48 TIH patients and 2,922 controls from the 1958 British birth cohort identified an additional 14 regions associated with TIH. We identified a suggestive association with a variant in SLCO2A1, which encodes a prostaglandin transporter in the distal nephron. Resequencing of SLCO2A1 revealed a nonsynonymous variant, rs34550074 (p.A396T), and association with this SNP was replicated in a second cohort of TIH cases. TIH patients with the p.A396T variant demonstrated increased urinary excretion of prostaglandin E2 and metabolites. Moreover, the SLCO2A1 phospho-mimic p.A396E showed loss of transporter function in vitro. These findings indicate that the phenotype of TIH involves a more extensive metabolic derangement than previously recognized. We propose one mechanism underlying TIH development in a subgroup of patients in which SLCO2A1 regulation is altered.

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Ian P. Hall

University of Nottingham

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Ian Sayers

University of Nottingham

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Rekha Chaudhuri

Gartnavel General Hospital

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Adel Mansur

University of Birmingham

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Jennie Hui

University of Western Australia

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