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1. Genome-wide association study of thyroid-stimulating hormone highlights new genes, pathways and associations with thyroid disease

Author: Alexander T. Williams, Jing Chen, Kayesha Coley, Chiara Batini, Abril Izquierdo, Richard Packer, Erik Abner, Stavroula Kanoni, David J. Shepherd, Robert C. Free, Edward J. Hollox, Nigel J. Brunskill, Ioanna Ntalla, Nicola Reeve, Christopher E. Brightling, Laura Venn, Emma Adams, Catherine Bee, Susan E. Wallace, Manish Pareek, Anna L. Hansell, Tõnu Esko, Estonian Biobank Research Team, Daniel Stow, Benjamin M. Jacobs, David A. van Heel, Genes & Health Research Team, William Hennah, Balasubramanya S. Rao, Frank Dudbridge, Louise V. Wain, Nick Shrine, Martin D. Tobin, and Catherine John
Subjects: Science
Abstract: Abstract 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. A polygenic score for TSH is associated with TSH levels in African, South Asian, East Asian, Middle Eastern and admixed American ancestries, and associated with hypothyroidism and other thyroid disease in South Asians. In Europeans, the TSH polygenic score is associated with thyroid disease, including thyroid cancer and age-of-onset of hypothyroidism and hyperthyroidism. We develop pathway-specific genetic risk scores for TSH levels and use these in phenome-wide association studies to identify potential consequences of pathway perturbation. Together, these findings demonstrate the potential utility of genetic associations to inform future therapeutics and risk prediction for thyroid diseases.
Published: 2023
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2. Genome-wide association study of susceptibility to hospitalised respiratory infections [version 2; peer review: 1 approved, 2 approved with reservations]

Author: Sina A. Gharib, Louise V. Wain, Tõnu Esko, Gail P. Jarvik, Scott Hebbring, Eric B. Larson, Sarah H. Landis, Ruth J.F. Loos, Jiangyuan Liu, Caroline Hayward, Arden Moscati, Yuan Luo, Bahram Namjou, Hana Mullerova, Marjo-Riitta Järvelin, Jennifer K. Quint, Eeva Sliz, Marylyn D. Ritchie, Laurent Thomas, Ian B. Stanaway, Kristian Hveem, David Michalovich, Ian P. Hall, James F. Wilson, Jing Chen, Alexander T. Williams, Martin D. Tobin, Joanna C. Betts, Hardeep Naghra-van Gijzel, Richard Packer, Edith M. Hessel, Astrid J. Yeo, Nicola F. Reeve, Bjørn Olav Åsvold, Erik Abner, Archie Campbell, Traci M. Bartz, Juha Auvinen, Catherine John, Ben Brumpton, Yuki Bradford, Su Chu, David J. Porteous, Nick Shrine, Michael H. Cho, QiPing Feng, and David R. Crosslin
Subjects: Respiratory infections, GWAS, UK Biobank, electronic medical records, eng, Medicine, Science
Abstract: Background: Globally, respiratory infections contribute to significant morbidity and mortality. However, genetic determinants of respiratory infections are understudied and remain poorly understood. Methods: We conducted a genome-wide association study in 19,459 hospitalised respiratory infection cases and 101,438 controls from UK Biobank (Stage 1). We followed-up well-imputed top signals from our Stage 1 analysis in 50,912 respiratory infection cases and 150,442 controls from 11 cohorts (Stage 2). We aggregated effect estimates across studies using inverse variance-weighted meta-analyses. Additionally, we investigated the function of the top signals in order to gain understanding of the underlying biological mechanisms. Results: From our Stage 1 analysis, we report 56 signals at P
Published: 2023
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3. Genetic insights into smoking behaviours in 10,558 men of African ancestry from continental Africa and the UK

Author: Noemi-Nicole Piga, Palwende Romuald Boua, Chisom Soremekun, Nick Shrine, Kayesha Coley, Jean-Tristan Brandenburg, Martin D. Tobin, Michèle Ramsay, Segun Fatumo, Ananyo Choudhury, and Chiara Batini
Subjects: Medicine, Science
Abstract: Abstract Smoking is a leading risk factor for many of the top ten causes of death worldwide. Of the 1.3 billion smokers globally, 80% live in low- and middle-income countries, where the number of deaths due to tobacco use is expected to double in the next decade according to the World Health Organization. Genetic studies have helped to identify biological pathways for smoking behaviours, but have mostly focussed on individuals of European ancestry or living in either North America or Europe. We performed a genome-wide association study of two smoking behaviour traits in 10,558 men of African ancestry living in five African countries and the UK. Eight independent variants were associated with either smoking initiation or cessation at P-value
Published: 2022
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4. Identification and characterisation of a rare MTTP variant underlying hereditary non-alcoholic fatty liver disease

Author: Jane I. Grove, Peggy C.K. Lo, Nick Shrine, Julian Barwell, Louise V. Wain, Martin D. Tobin, Andrew M. Salter, Aditi N. Borkar, Sara Cuevas-Ocaña, Neil Bennett, Catherine John, Ioanna Ntalla, Gabriela E. Jones, Christopher P. Neal, Mervyn G. Thomas, Helen Kuht, Pankaj Gupta, Vishwaraj M. Vemala, Allister Grant, Adeolu B. Adewoye, Kotacherry T. Shenoy, Leena K. Balakumaran, Edward J. Hollox, Nicholas R.F. Hannan, and Guruprasad P. Aithal
Subjects: Microsomal triglyceride transfer protein, Abetalipoproteinaemia, hiPSC-derived hepatocytes, Lipoprotein ApoB, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: 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. We extensively characterised the clinical phenotype and post-prandial metabolic responses of family members with the identified novel variant in comparison with healthy non-carriers and wild-type patients with NAFLD. Variant-expressing hepatocyte-like cells (HLCs) were derived from human-induced pluripotent stem cells generated from homozygous donor skin fibroblasts and restored to wild-type using CRISPR-Cas9. The phenotype was assessed using imaging, targeted RNA analysis, and molecular expression arrays. Results: We identified a rare causal variant c.1691T>C p.I564T (rs745447480) in MTTP, encoding microsomal triglyceride transfer protein (MTP), associated with progressive NAFLD, unrelated to metabolic syndrome and without characteristic features of abetalipoproteinaemia. HLCs derived from a homozygote donor had significantly lower MTP activity and lower lipoprotein ApoB secretion than wild-type cells, while having similar levels of MTP mRNA and protein. Cytoplasmic triglyceride accumulation in HLCs triggered endoplasmic reticulum stress, secretion of pro-inflammatory mediators, and production of reactive oxygen species. Conclusions: We have identified and characterised a rare causal variant in MTTP, and homozygosity for MTTP p.I564T is associated with progressive NAFLD without any other manifestations of abetalipoproteinaemia. Our findings provide insights into mechanisms driving progressive NAFLD. Impact and Implications: A rare genetic variant in the gene MTTP has been identified as responsible for the development of severe non-alcoholic fatty liver disease in a four-generation family with no typical disease risk factors. A cell line culture created harbouring this variant gene was characterised to understand how this genetic variation leads to a defect in liver cells, which results in accumulation of fat and processes that promote disease. This is now a useful model for studying the disease pathways and to discover new ways to treat common types of fatty liver disease.
Published: 2023
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5. Exome-wide analysis of copy number variation shows association of the human leukocyte antigen region with asthma in UK Biobank

Author: Katherine A. Fawcett, German Demidov, Nick Shrine, Megan L. Paynton, Stephan Ossowski, Ian Sayers, Louise V. Wain, and Edward J. Hollox
Subjects: Copy number variants, Exome sequencing, UK Biobank, Asthma, Genetic association, Fine-mapping, Internal medicine, RC31-1245, Genetics, QH426-470
Abstract: Abstract 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. Methods We called common CNVs in 49,953 individuals in the first release of UK Biobank WES using ClinCNV software. CNVs were tested for association with asthma in a stage 1 analysis comprising 7098 asthma cases and 36,578 controls from the first release of sequencing data. Nominally-associated CNVs were then meta-analysed in stage 2 with an additional 17,280 asthma cases and 115,562 controls from the second release of UK Biobank exome sequencing, followed by validation and fine-mapping. Results Five of 189 CNVs were associated with asthma in stage 2, including a deletion overlapping the HLA-DQA1 and HLA-DQB1 genes, a duplication of CHROMR/PRKRA, deletions within MUC22 and TAP2, and a duplication in FBRSL1. The HLA-DQA1, HLA-DQB1, MUC22 and TAP2 genes all reside within the human leukocyte antigen (HLA) region on chromosome 6. In silico analyses demonstrated that the deletion overlapping HLA-DQA1 and HLA-DQB1 is likely to be an artefact arising from under-mapping of reads from non-reference HLA haplotypes, and that the CHROMR/PRKRA and FBRSL1 duplications represent presence/absence of pseudogenes within the HLA region. Bayesian fine-mapping of the HLA region suggested that there are two independent asthma association signals. The variants with the largest posterior inclusion probability in the two credible sets were an amino acid change in HLA-DQB1 (glutamine to histidine at residue 253) and a multi-allelic amino acid change in HLA-DRB1 (presence/absence of serine, glycine or leucine at residue 11). Conclusions At least two independent loci characterised by amino acid changes in the HLA-DQA1, HLA-DQB1 and HLA-DRB1 genes are likely to account for association of SNPs and CNVs in this region with asthma. The high divergence of haplotypes in the HLA can give rise to spurious CNVs, providing an important, cautionary tale for future large-scale analyses of sequencing data.
Published: 2022
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6. Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function

Author: Tianzhong Yang, Victoria E. Jackson, Albert V. Smith, Han Chen, Traci M. Bartz, Colleen M. Sitlani, Bruce M. Psaty, Sina A. Gharib, George T. O’Connor, Josée Dupuis, Jiayi Xu, Kurt Lohman, Yongmei Liu, Stephen B. Kritchevsky, Patricia A. Cassano, Claudia Flexeder, Christian Gieger, Stefan Karrasch, Annette Peters, Holger Schulz, Sarah E. Harris, John M. Starr, Ian J. Deary, Ani Manichaikul, Elizabeth C. Oelsner, R. G. Barr, Kent D. Taylor, Stephen S. Rich, Tobias N. Bonten, Dennis O. Mook-Kanamori, Raymond Noordam, Ruifang Li-Gao, Marjo-Riitta Jarvelin, Matthias Wielscher, Natalie Terzikhan, Lies Lahousse, Guy Brusselle, Stefan Weiss, Ralf Ewert, Sven Gläser, Georg Homuth, Nick Shrine, Ian P. Hall, Martin Tobin, Stephanie J. London, Peng Wei, and Alanna C. Morrison
Subjects: Medicine, Science
Abstract: Abstract Genome-wide association studies have identified numerous common genetic variants associated with spirometric measures of pulmonary function, including forced expiratory volume in one second (FEV1), 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. We leveraged data on cigarette smoking, the major environmental risk factor for reduced lung function, by testing gene-by-smoking interaction effects only and simultaneously testing the genetic main effects and interaction effects. The most statistically significant signal that replicated was a previously reported low-frequency signal in GPR126, distinct from common variant associations in this gene. Although only nominal replication was obtained for a top rare variant signal rs142935352 in one of the two studies, interaction and joint tests for current smoking and PDE3B were significantly associated with FEV1. This study investigates the utility of assessing gene-by-smoking interactions and underscores their effects on potential pulmonary function.
Published: 2021
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7. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants

Author: Xutong Zhao, Dandi Qiao, Chaojie Yang, Silva Kasela, Wonji Kim, Yanlin Ma, Nick Shrine, Chiara Batini, Tamar Sofer, Sarah A. Gagliano Taliun, Phuwanat Sakornsakolpat, Pallavi P. Balte, Dmitry Prokopenko, Bing Yu, Leslie A. Lange, Josée Dupuis, Brian E. Cade, Jiwon Lee, Sina A. Gharib, Michelle Daya, Cecelia A. Laurie, Ingo Ruczinski, L. Adrienne Cupples, Laura R. Loehr, Traci M. Bartz, Alanna C. Morrison, Bruce M. Psaty, Ramachandran S. Vasan, James G. Wilson, Kent D. Taylor, Peter Durda, W. Craig Johnson, Elaine Cornell, Xiuqing Guo, Yongmei Liu, Russell P. Tracy, Kristin G. Ardlie, François Aguet, David J. VanDenBerg, George J. Papanicolaou, Jerome I. Rotter, Kathleen C. Barnes, Deepti Jain, Deborah A. Nickerson, Donna M. Muzny, Ginger A. Metcalf, Harshavardhan Doddapaneni, Shannon Dugan-Perez, Namrata Gupta, Stacey Gabriel, Stephen S. Rich, George T. O’Connor, Susan Redline, Robert M. Reed, Cathy C. Laurie, Martha L. Daviglus, Liana K. Preudhomme, Kristin M. Burkart, Robert C. Kaplan, Louise V. Wain, Martin D. Tobin, Stephanie J. London, Tuuli Lappalainen, Elizabeth C. Oelsner, Goncalo R. Abecasis, Edwin K. Silverman, R. Graham Barr, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lung Working Group, Michael H. Cho, and Ani Manichaikul
Subjects: Science
Abstract: Chronic obstructive pulmonary disease is a leading cause of morbidity and mortality. Here, the authors analyse whole genome sequence data and find new loci associated with lung function and COPD.
Published: 2020
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8. Genome-wide gene-air pollution interaction analysis of lung function in 300,000 individuals

Author: Carl A. Melbourne, A. Mesut Erzurumluoglu, Nick Shrine, Jing Chen, Martin D. Tobin, Anna L. Hansell, and Louise V. Wain
Subjects: Gene-air pollution interactions, Air pollution, Genome-wide, Lung function, Chronic Obstructive Pulmonary Disease, UK Biobank, Environmental sciences, GE1-350
Abstract: 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. Additionally, to determine whether previously identified lung function genetic association signals showed evidence of interaction with air pollution, considering both individual effects and combined effects using a genetic risk score (GRS). Methods: We conducted a genome-wide gene-air pollution interaction analysis of spirometry measures with three measures of air pollution at home address: particulate matter (PM2.5 & PM10) and nitrogen dioxide (NO2), in approximately 300,000 unrelated European individuals from UK Biobank. We explored air pollution interactions with previously identified lung function signals and determined their combined interaction effect using a GRS. Results: We identified seven new genome-wide interaction signals (P
Published: 2022
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9. Variants associated with HHIP expression have sex-differential effects on lung function [version 2; peer review: 2 approved]

Author: Katherine A. Fawcett, Ma'en Obeidat, Carl Melbourne, Nick Shrine, Anna L. Guyatt, Catherine John, Jian'an Luan, Anne Richmond, Marta R. Moksnes, Raquel Granell, Stefan Weiss, Medea Imboden, Sebastian May-Wilson, Pirro Hysi, Thibaud S. Boutin, Laura Portas, Claudia Flexeder, Sarah E. Harris, Carol A. Wang, Leo-Pekka Lyytikäinen, Teemu Palviainen, Rachel E. Foong, Dirk Keidel, Cosetta Minelli, Claudia Langenberg, Yohan Bossé, Maarten Van den Berge, Don D. Sin, Ke Hao, Archie Campbell, David Porteous, Sandosh Padmanabhan, Blair H. Smith, David M. Evans, Sue Ring, Arnulf Langhammer, Kristian Hveem, Cristen Willer, Ralf Ewert, Beate Stubbe, Nicola Pirastu, Lucija Klaric, Peter K. Joshi, Karina Patasova, Mangino Massimo, Ozren Polasek, John M. Starr, Stefan Karrasch, Konstantin Strauch, Thomas Meitinger, Igor Rudan, Taina Rantanen, Kirsi Pietiläinen, Mika Kähönen, Olli T. Raitakari, Graham L. Hall, Peter D. Sly, Craig E. Pennell, Jaakko Kaprio, Terho Lehtimäki, Veronique Vitart, Ian J. Deary, Debbie Jarvis, James F. Wilson, Tim Spector, Nicole Probst-Hensch, Nicholas J. Wareham, Henry Völzke, John Henderson, David P. Strachan, Ben M. Brumpton, Caroline Hayward, Ian P. Hall, Martin D. Tobin, and Louise V. Wain
Subjects: Medicine, Science
Abstract: Background: 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. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P
Published: 2021
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10. Pleiotropic associations of heterozygosity for the SERPINA1 Z allele in the UK Biobank

Author: Katherine A. Fawcett, Kijoung Song, Guoqing Qian, Aliki-Eleni Farmaki, Richard Packer, Catherine John, Nick Shrine, Raquel Granell, Sue Ring, Nicholas J. Timpson, Laura M. Yerges-Armstrong, Richard Eastell, Louise V. Wain, Robert A. Scott, Martin D. Tobin, and Ian P. Hall
Subjects: Medicine
Abstract: Homozygosity for the SERPINA1 Z allele causes α1-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). Z allele heterozygosity was strongly associated with increased height (β=1.02 cm, p=3.91×10−68), and with other nonrespiratory phenotypes including increased risk of gall bladder disease, reduced risk of heart disease and lower blood pressure, reduced risk of osteoarthritis and reduced bone mineral density, increased risk of headache and enlarged prostate, as well as with blood biomarkers of liver function. Heterozygosity was associated with higher height-adjusted forced expiratory volume in 1 s (FEV1) (β=19.36 mL, p=9.21×10−4) and FEV1/forced vital capacity (β=0.0031, p=1.22×10−5) in nonsmokers, whereas in smokers, this protective effect was abolished. Furthermore, we show for the first time that sex modifies the association of the Z allele on lung function. We conclude that Z allele heterozygosity and homozygosity exhibit opposing effects on lung function in the UK population, and that these associations are modified by smoking and sex. In exploratory analyses, heterozygosity for the Z allele also showed pleiotropic associations with nonrespiratory health-related traits and disease risk.
Published: 2021
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11. Variants associated with HHIP expression have sex-differential effects on lung function [version 1; peer review: 2 approved]

Author: Katherine A. Fawcett, Ma'en Obeidat, Carl Melbourne, Nick Shrine, Anna L. Guyatt, Catherine John, Jian'an Luan, Anne Richmond, Marta R. Moksnes, Raquel Granell, Stefan Weiss, Medea Imboden, Sebastian May-Wilson, Pirro Hysi, Thibaud S. Boutin, Laura Portas, Claudia Flexeder, Sarah E. Harris, Carol A. Wang, Leo-Pekka Lyytikäinen, Teemu Palviainen, Rachel E. Foong, Dirk Keidel, Cosetta Minelli, Claudia Langenberg, Yohan Bossé, Maarten Van den Berge, Don D. Sin, Ke Hao, Archie Campbell, David Porteous, Sandosh Padmanabhan, Blair H. Smith, David M. Evans, Sue Ring, Arnulf Langhammer, Kristian Hveem, Cristen Willer, Ralf Ewert, Beate Stubbe, Nicola Pirastu, Lucija Klaric, Peter K. Joshi, Karina Patasova, Mangino Massimo, Ozren Polasek, John M. Starr, Stefan Karrasch, Konstantin Strauch, Thomas Meitinger, Igor Rudan, Taina Rantanen, Kirsi Pietiläinen, Mika Kähönen, Olli T. Raitakari, Graham L. Hall, Peter D. Sly, Craig E. Pennell, Jaakko Kaprio, Terho Lehtimäki, Veronique Vitart, Ian J. Deary, Debbie Jarvis, James F. Wilson, Tim Spector, Nicole Probst-Hensch, Nicholas J. Wareham, Henry Völzke, John Henderson, David P. Strachan, Ben M. Brumpton, Caroline Hayward, Ian P. Hall, Martin D. Tobin, and Louise V. Wain
Subjects: Medicine, Science
Abstract: Background: 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. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P
Published: 2020
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12. CNV-association meta-analysis in 191,161 European adults reveals new loci associated with anthropometric traits

Author: Aurélien Macé, Marcus A. Tuke, Patrick Deelen, Kati Kristiansson, Hannele Mattsson, Margit Nõukas, Yadav Sapkota, Ursula Schick, Eleonora Porcu, Sina Rüeger, Aaron F. McDaid, David Porteous, Thomas W. Winkler, Erika Salvi, Nick Shrine, Xueping Liu, Wei Q. Ang, Weihua Zhang, Mary F. Feitosa, Cristina Venturini, Peter J. van der Most, Anders Rosengren, Andrew R. Wood, Robin N. Beaumont, Samuel E. Jones, Katherine S. Ruth, Hanieh Yaghootkar, Jessica Tyrrell, Aki S. Havulinna, Harmen Boers, Reedik Mägi, Jennifer Kriebel, Martina Müller-Nurasyid, Markus Perola, Markku Nieminen, Marja-Liisa Lokki, Mika Kähönen, Jorma S. Viikari, Frank Geller, Jari Lahti, Aarno Palotie, Päivikki Koponen, Annamari Lundqvist, Harri Rissanen, Erwin P. Bottinger, Saima Afaq, Mary K. Wojczynski, Petra Lenzini, Ilja M. Nolte, Thomas Sparsø, Nicole Schupf, Kaare Christensen, Thomas T. Perls, Anne B. Newman, Thomas Werge, Harold Snieder, Timothy D. Spector, John C. Chambers, Seppo Koskinen, Mads Melbye, Olli T. Raitakari, Terho Lehtimäki, Martin D. Tobin, Louise V. Wain, Juha Sinisalo, Annette Peters, Thomas Meitinger, Nicholas G. Martin, Naomi R. Wray, Grant W. Montgomery, Sarah E. Medland, Morris A. Swertz, Erkki Vartiainen, Katja Borodulin, Satu Männistö, Anna Murray, Murielle Bochud, Sébastien Jacquemont, Fernando Rivadeneira, Thomas F. Hansen, Albertine J. Oldehinkel, Massimo Mangino, Michael A. Province, Panos Deloukas, Jaspal S. Kooner, Rachel M. Freathy, Craig Pennell, Bjarke Feenstra, David P. Strachan, Guillaume Lettre, Joel Hirschhorn, Daniele Cusi, Iris M. Heid, Caroline Hayward, Katrin Männik, Jacques S. Beckmann, Ruth J. F. Loos, Dale R. Nyholt, Andres Metspalu, Johan G. Eriksson, Michael N. Weedon, Veikko Salomaa, Lude Franke, Alexandre Reymond, Timothy M. Frayling, and Zoltán Kutalik
Subjects: Science
Abstract: Individual SNPs have small effects on anthropometric traits, yet the impact of CNVs has remained largely unknown. Here, Kutalik and co-workers perform a large-scale genome-wide meta-analysis of structural variation and find rare CNVs associated with height, weight and BMI with large effect sizes.
Published: 2017
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13. Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness

Author: Sara M. Willems, Daniel J. Wright, Felix R. Day, Katerina Trajanoska, Peter K. Joshi, John A. Morris, Amy M. Matteini, Fleur C. Garton, Niels Grarup, Nikolay Oskolkov, Anbupalam Thalamuthu, Massimo Mangino, Jun Liu, Ayse Demirkan, Monkol Lek, Liwen Xu, Guan Wang, Christopher Oldmeadow, Kyle J. Gaulton, Luca A. Lotta, Eri Miyamoto-Mikami, Manuel A. Rivas, Tom White, Po-Ru Loh, Mette Aadahl, Najaf Amin, John R. Attia, Krista Austin, Beben Benyamin, Søren Brage, Yu-Ching Cheng, Paweł Cięszczyk, Wim Derave, Karl-Fredrik Eriksson, Nir Eynon, Allan Linneberg, Alejandro Lucia, Myosotis Massidda, Braxton D. Mitchell, Motohiko Miyachi, Haruka Murakami, Sandosh Padmanabhan, Ashutosh Pandey, Ioannis Papadimitriou, Deepak K. Rajpal, Craig Sale, Theresia M. Schnurr, Francesco Sessa, Nick Shrine, Martin D. Tobin, Ian Varley, Louise V. Wain, Naomi R. Wray, Cecilia M. Lindgren, Daniel G. MacArthur, Dawn M. Waterworth, Mark I. McCarthy, Oluf Pedersen, Kay-Tee Khaw, Douglas P. Kiel, GEFOS Any-Type of Fracture Consortium, Yannis Pitsiladis, Noriyuki Fuku, Paul W. Franks, Kathryn N. North, Cornelia M. van Duijn, Karen A. Mather, Torben Hansen, Ola Hansson, Tim Spector, Joanne M. Murabito, J. Brent Richards, Fernando Rivadeneira, Claudia Langenberg, John R. B. Perry, Nick J. Wareham, and Robert A. Scott
Subjects: Science
Abstract: Hand grip strength as a proxy of muscular fitness is a clinical predictor of mortality and morbidity. In a large-scale GWA study, the authors find 16 robustly associated genetic loci that highlight roles in muscle fibre structure and function, neuronal maintenance and nervous system signal transduction.
Published: 2017
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14. Human CCL3L1 copy number variation, gene expression, and the role of the CCL3L1-CCR5 axis in lung function [version 2; referees: 2 approved]

Author: Adeolu B. Adewoye, Nick Shrine, Linda Odenthal-Hesse, Samantha Welsh, Anders Malarstig, Scott Jelinsky, Iain Kilty, Martin D. Tobin, Edward J. Hollox, and Louise V. Wain
Subjects: Medicine, Science
Abstract: Background: The CCL3L1-CCR5 signaling axis is important in a number of inflammatory responses, including macrophage function, and T-cell-dependent immune responses. Small molecule CCR5 antagonists exist, including the approved antiretroviral drug maraviroc, and therapeutic monoclonal antibodies are in development. Repositioning of drugs and targets into new disease areas can accelerate the availability of new therapies and substantially reduce costs. As it has been shown that drug targets with genetic evidence supporting their involvement in the disease are more likely to be successful in clinical development, using genetic association studies to identify new target repurposing opportunities could be fruitful. Here we investigate the potential of perturbation of the CCL3L1-CCR5 axis as treatment for respiratory disease. Europeans typically carry between 0 and 5 copies of CCL3L1 and this multi-allelic variation is not detected by widely used genome-wide single nucleotide polymorphism studies. Methods: We directly measured the complex structural variation of CCL3L1 using the Paralogue Ratio Test and imputed (with validation) CCR5d32 genotypes in 5,000 individuals from UK Biobank, selected from the extremes of the lung function distribution, and analysed DNA and RNAseq data for CCL3L1 from the 1000 Genomes Project. Results: We confirmed the gene dosage effect of CCL3L1 copy number on CCL3L1 mRNA expression levels. We found no evidence for association of CCL3L1 copy number or CCR5d32 genotype with lung function. Conclusions: These results suggest that repositioning CCR5 antagonists is unlikely to be successful for the treatment of airflow obstruction.
Published: 2018
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15. Human CCL3L1 copy number variation, gene expression, and the role of the CCL3L1-CCR5 axis in lung function [version 1; referees: 2 approved]

Author: Adeolu B. Adewoye, Nick Shrine, Linda Odenthal-Hesse, Samantha Welsh, Anders Malarstig, Scott Jelinsky, Iain Kilty, Martin D. Tobin, Edward J. Hollox, and Louise V. Wain
Subjects: Medicine, Science
Abstract: Background: The CCL3L1-CCR5 signaling axis is important in a number of inflammatory responses, including macrophage function, and T-cell-dependent immune responses. Small molecule CCR5 antagonists exist, including the approved antiretroviral drug maraviroc, and therapeutic monoclonal antibodies are in development. Repositioning of drugs and targets into new disease areas can accelerate the availability of new therapies and substantially reduce costs. As it has been shown that drug targets with genetic evidence supporting their involvement in the disease are more likely to be successful in clinical development, using genetic association studies to identify new target repurposing opportunities could be fruitful. Here we investigate the potential of perturbation of the CCL3L1-CCR5 axis as treatment for respiratory disease. Europeans typically carry between 0 and 5 copies of CCL3L1 and this multi-allelic variation is not detected by widely used genome-wide single nucleotide polymorphism studies. Methods: We directly measured the complex structural variation of CCL3L1 using the Paralogue Ratio Test and imputed (with validation) CCR5del32 genotypes in 5,000 individuals from UK Biobank, selected from the extremes of the lung function distribution, and analysed DNA and RNAseq data for CCL3L1 from the 1000 Genomes Project. Results: We confirmed the gene dosage effect of CCL3L1 copy number on CCL3L1 mRNA expression levels. We found no evidence for association of CCL3L1 copy number or CCR5del32 genotype with lung function. Conclusions: These results suggest that repositioning CCR5 antagonists is unlikely to be successful for the treatment of airflow obstruction.
Published: 2018
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16. Targeted Sequencing of Lung Function Loci in Chronic Obstructive Pulmonary Disease Cases and Controls.

Author: María Soler Artigas, Louise V Wain, Nick Shrine, Tricia M McKeever, UK BiLEVE, Ian Sayers, Ian P Hall, and Martin D Tobin
Subjects: Medicine, Science
Abstract: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide; smoking is the main risk factor for COPD, but genetic factors are also relevant contributors. Genome-wide association studies (GWAS) of the lung function measures used in the diagnosis of COPD have identified a number of loci, however association signals are often broad and collectively these loci only explain a small proportion of the heritability. In order to examine the association with COPD risk of genetic variants down to low allele frequencies, to aid fine-mapping of association signals and to explain more of the missing heritability, we undertook a targeted sequencing study in 300 COPD cases and 300 smoking controls for 26 loci previously reported to be associated with lung function. We used a pooled sequencing approach, with 12 pools of 25 individuals each, enabling high depth (30x) coverage per sample to be achieved. This pooled design maximised sample size and therefore power, but led to challenges during variant-calling since sequencing error rates and minor allele frequencies for rare variants can be very similar. For this reason we employed a rigorous quality control pipeline for variant detection which included the use of 3 independent calling algorithms. In order to avoid false positive associations we also developed tests to detect variants with potential batch effects and removed them before undertaking association testing. We tested for the effects of single variants and the combined effect of rare variants within a locus. We followed up the top signals with data available (only 67% of collapsing methods signals) in 4,249 COPD cases and 11,916 smoking controls from UK Biobank. We provide suggestive evidence for the combined effect of rare variants on COPD risk in TNXB and in sliding windows within MECOM and upstream of HHIP. These findings can lead to an improved understanding of the molecular pathways involved in the development of COPD.
Published: 2017
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17. A comprehensive evaluation of potential lung function associated genes in the SpiroMeta general population sample.

Author: Ma'en Obeidat, Louise V Wain, Nick Shrine, Noor Kalsheker, Maria 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, Georg Homuth, Henry Völzke, Panos Deloukas, Raquel Granell, John Henderson, Ivica Grkovic, Stipan Jankovic, Lina Zgaga, Ozren Polašek, Igor Rudan, Alan F Wright, Harry Campbell, Sarah H Wild, James F Wilson, Joachim Heinrich, Medea Imboden, Nicole M Probst-Hensch, Ulf Gyllensten, Åsa Johansson, Ghazal Zaboli, Linda Mustelin, Taina Rantanen, Ida Surakka, Jaakko Kaprio, Marjo-Riitta Jarvelin, Caroline Hayward, David M Evans, Beate Koch, Arthur William Musk, Paul Elliott, David P Strachan, Martin D Tobin, Ian Sayers, Ian P Hall, and SpiroMeta Consortium
Subjects: Medicine, Science
Abstract: 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).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.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.The analysis included 16,936 genotyped and imputed SNPs. No loci showed overall significant association for FEV(1) or FEV(1)/FVC traits using a carefully defined significance threshold of 1.3×10(-5). The most significant loci associated with FEV(1) 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 FEV(1) (P = 8.41×10(-5)), followed by PDE4D (P = 1.22×10(-4)). The strongest association with FEV(1)/FVC ratio was observed with ABCC1 (P = 4.38×10(-4)), and ESR1 (P = 5.42×10(-4)) among ever-smokers.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 FEV(1) among smokers in the general population.
Published: 2011
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18. Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity

Author: Mark K. Bakker, Jos P. Kanning, Gad Abraham, Amy E. Martinsen, Bendik S. Winsvold, John-Anker Zwart, Romain Bourcier, Tomonobu Sawada, Masaru Koido, Yoichiro Kamatani, Sandrine Morel, Philippe Amouyel, Stéphanie Debette, Philippe Bijlenga, Takiy Berrandou, Santhi K. Ganesh, Nabila Bouatia-Naji, Gregory Jones, Matthew Bown, Gabriel J.E. Rinkel, Jan H. Veldink, Ynte M. Ruigrok, Anne Hege Aamodt, Anne Heidi Skogholt, Ben M Brumpton, Cristen J Willer, Else C Sandset, Espen S Kristoffersen, Hanne Ellekjær, Ingrid Heuch, Jonas B Nielsen, Knut Hagen, Kristian Hveem, Lars G Fritsche, Laurent F Thomas, Linda M Pedersen, Maiken E Gabrielsen, Oddgeir L Holmen, Sigrid Børte, Wei Zhou, Shérine Abboud, Massimo Pandolfo, Vincent Thijs, Didier Leys, Marie Bodenant, Fabien Louillet, Emmanuel Touzé, Jean-Louis Mas, Yves Samson, Sara Leder, Anne Léger, Sandrine Deltour, Sophie Crozier, Isabelle Méresse, Sandrine Canaple, Olivier Godefroy, Maurice Giroud, Yannick Béjot, Pierre Decavel, Elizabeth Medeiros, Paola Montiel, Thierry Moulin, Fabrice Vuillier, Jean Dallongeville, Antti J Metso, Tiina Metso, Turgut Tatlisumak, Caspar Grond-Ginsbach, Christoph Lichy, Manja Kloss, Inge Werner, Marie-Luise Arnold, Michael Dos Santos, Armin Grau, Martin Dichgans, Constanze Thomas-Feles, Ralf Weber, Tobias Brandt, Alessandro Pezzini, Valeria De Giuli, Filomena Caria, Loris Poli, Alessandro Padovani, Anna Bersano, Silvia Lanfranconi, Simone Beretta, Carlo Ferrarese, Giacomo Giacolone, Stefano Paolucci, Philippe Lyrer, Stefan Engelter, Felix Fluri, Florian Hatz, Dominique Gisler, Leo Bonati, Henrik Gensicke, Margareth Amort, Hugh Markus, Jennifer Majersik, Bradford Worrall, Andrew Southerland, John Cole, Steven Kittner, Evangelos Evangelou, Helen R Warren, He Gao, Georgios Ntritsos, Niki Dimou, Tonu Esko, Reedik Mägi, Lili Milani, Peter Almgren, Thibaud Boutin, Jun Ding, Franco Giulianini, Elizabeth G Holliday, Anne U Jackson, Ruifang Li-Gao, Wei-Yu Lin, Jian’an Luan, Massimo Mangino, Christopher Oldmeadow, Bram Peter Prins, Yong Qian, Muralidharan Sargurupremraj, Nabi Shah, Praveen Surendran, Sébastien Thériault, Niek Verweij, Sara M Willems, Jing-Hua Zhao, John Connell, Renée de Mutsert, Alex SF Doney, Martin Farrall, Cristina Menni, Andrew D Morris, Raymond Noordam, Guillaume Paré, Neil R Poulter, Denis C Shields, Alice Stanton, Simon Thom, Gonçalo Abecasis, Najaf Amin, Dan E Arking, Kristin L Ayers, Caterina M Barbieri, Chiara Batini, Joshua C Bis, Tineka Blake, Murielle Bochud, Michael Boehnke, Eric Boerwinkle, Dorret I Boomsma, Erwin P Bottinger, Peter S Braund, Marco Brumat, Archie Campbell, Harry Campbell, Aravinda Chakravarti, John C Chambers, Ganesh Chauhan, Marina Ciullo, Massimiliano Cocca, Francis Collins, Heather J Cordell, Gail Davies, Martin H de Borst, Eco J de Geus, Ian J Deary, Joris Deelen, Fabiola Del Greco M, Cumhur Yusuf Demirkale, Marcus Dörr, Georg B Ehret, Roberto Elosua, Stefan Enroth, A Mesut Erzurumluoglu, Teresa Ferreira, Mattias Frånberg, Oscar H Franco, Ilaria Gandin, Paolo Gasparini, Vilmantas Giedraitis, Christian Gieger, Giorgia Girotto, Anuj Goel, Alan J Gow, Vilmundur Gudnason, Xiuqing Guo, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Sarah E Harris, Catharina A Hartman, Aki S Havulinna, Andrew A Hicks, Edith Hofer, Albert Hofman, Jouke-Jan Hottenga, Jennifer E Huffman, Shih-Jen Hwang, Erik Ingelsson, Alan James, Rick Jansen, Marjo-Riitta Jarvelin, Roby Joehanes, Åsa Johansson, Andrew D Johnson, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Antti Jula, Mika Kähönen, Sekar Kathiresan, Bernard D Keavney, Kay-Tee Khaw, Paul Knekt, Joanne Knight, Ivana Kolcic, Jaspal S Kooner, Seppo Koskinen, Kati Kristiansson, Zoltan Kutalik, Maris Laan, Marty Larson, Lenore J Launer, Benjamin Lehne, Terho Lehtimäki, David CM Liewald, Li Lin, Lars Lind, Cecilia M Lindgren, YongMei Liu, Ruth JF Loos, Lorna M Lopez, Yingchang Lu, Leo-Pekka Lyytikäinen, Anubha Mahajan, Chrysovalanto Mamasoula, Jaume Marrugat, Jonathan Marten, Yuri Milaneschi, Anna Morgan, Andrew P Morris, Alanna C Morrison, Peter J Munson, Mike A Nalls, Priyanka Nandakumar, Christopher P Nelson, Teemu Niiranen, Ilja M Nolte, Teresa Nutile, Albertine J Oldehinkel, Ben A Oostra, Paul F O’Reilly, Elin Org, Sandosh Padmanabhan, Walter Palmas, Aarno Palotie, Alison Pattie, Brenda WJH Penninx, Markus Perola, Annette Peters, Ozren Polasek, Peter P Pramstaller, Quang Tri Nguyen, Olli T Raitakari, Rainer Rettig, Kenneth Rice, Paul M Ridker, Janina S Ried, Harriëtte Riese, Samuli Ripatti, Antonietta Robino, Lynda M Rose, Jerome I Rotter, Igor Rudan, Daniela Ruggiero, Yasaman Saba, Cinzia F Sala, Veikko Salomaa, Nilesh J Samani, Antti-Pekka Sarin, Reinhold Schmidt, Helena Schmidt, Nick Shrine, David Siscovick, Albert V Smith, Harold Snieder, Siim Sõber, Rossella Sorice, John M Starr, David J Stott, David P Strachan, Rona J Strawbridge, Johan Sundström, Morris A Swertz, Kent D Taylor, Alexander Teumer, Martin D Tobin, Maciej Tomaszewski, Daniela Toniolo, Michela Traglia, Stella Trompet, Jaakko Tuomilehto, Christophe Tzourio, André G Uitterlinden, Ahmad Vaez, Peter J van der Most, Cornelia M van Duijn, Germaine C Verwoert, Veronique Vitart, Uwe Völker, Peter Vollenweider, Dragana Vuckovic, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, James F Wilson, Alan F Wright, Jie Yao, Tatijana Zemunik, Weihua Zhang, John R Attia, Adam S Butterworth, Daniel I Chasman, David Conen, Francesco Cucca, John Danesh, Caroline Hayward, Joanna MM Howson, Markku Laakso, Edward G Lakatta, Claudia Langenberg, Olle Melander, Dennis O Mook-Kanamori, Colin NA Palmer, Lorenz Risch, Robert A Scott, Rodney J Scott, Peter Sever, Tim D Spector, Pim van der Harst, Nicholas J Wareham, Eleftheria Zeggini, Daniel Levy, Patricia B Munroe, Christopher Newton-Cheh, Morris J Brown, Andres Metspalu, Bruce M. Psaty, Louise V Wain, Paul Elliott, Mark J Caulfield, Padhraig Gormley, Verneri Anttila, Priit Palta, Tune H Pers, Kai-How Farh, Ester Cuenca-Leon, Mikko Muona, Nicholas A Furlotte, Tobias Kurth, Andres Ingason, George McMahon, Lannie Ligthart, Gisela M Terwindt, Mikko Kallela, Tobias M Freilinger, Caroline Ran, Scott G Gordon, Anine H Stam, Stacy Steinberg, Guntram Borck, Markku Koiranen, Lydia Quaye, Hieab H H Adams, Juho Wedenoja, David A Hinds, Julie E Buring, Markus Schürks, Maria Gudlaug Hrafnsdottir, Hreinn Stefansson, Susan M Ring, Brenda W J H Penninx, Markus Färkkilä, Ville Artto, Mari Kaunisto, Salli Vepsäläinen, Rainer Malik, Andrew C Heath, Pamela A F Madden, Nicholas G Martin, Grant W Montgomery, Mitja I Kurki, Mart Kals, Kalle Pärn, Eija Hämäläinen, Hailiang Huang, Andrea E Byrnes, Lude Franke, Jie Huang, Evie Stergiakouli, Phil H Lee, Cynthia Sandor, Caleb Webber, Zameel Cader, Bertram Muller-Myhsok, Stefan Schreiber, Thomas Meitinger, Johan G Eriksson, Kauko Heikkilä, Elizabeth Loehrer, Andre G Uitterlinden, Lynn Cherkas, Audun Stubhaug, Christopher S Nielsen, Minna Männikkö, Evelin Mihailov, Hartmut Göbel, Ann-Louise Esserlind, Anne Francke Christensen, Thomas Folkmann Hansen, Thomas Werge, Jaakko Kaprio, Arpo J Aromaa, Olli Raitakari, M Arfan Ikram, Tim Spector, Marjo-Riitta Järvelin, Christian Kubisch, Michel D Ferrari, Andrea C Belin, Maija Wessman, Arn M J M van den Maagdenberg, George Davey Smith, Kari Stefansson, Nicholas Eriksson, Mark J Daly, Benjamin M Neale, Jes Olesen, Dale R Nyholt, Masato Akiyama, Varinder S. Alg, Joseph P. Broderick, Ben M. Brumpton, Jérôme Dauvillier, Hubert Desal, Christian Dina, Christoph M. Friedrich, Emília I. Gaál-Paavola, Jean-Christophe Gentric, Sven Hirsch, Isabel C. Hostettler, Henry Houlden, Juha E. Jääskeläinen, Marianne Bakke Johnsen, Liming Li, Kuang Lin, Antti Lindgren, Olivier Martin, Koichi Matsuda, Iona Y. Millwood, Olivier Naggara, Mika Niemelä, Joanna Pera, Richard Redon, Guy A. Rouleau, Marie Søfteland Sandvei, Sabine Schilling, Eimad Shotar, Agnieszka Slowik, Chikashi Terao, W. M. Monique Verschuren, Robin G. Walters, David J. Werring, Cristen J. Willer, Daniel Woo, Bradford B. Worrall, Sirui Zhou, Biological Psychology, Amsterdam Reproduction & Development, APH - Mental Health, APH - Methodology, AMS - Sports, AMS - Ageing & Vitality, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Systems Ecology, Sociology and Social Gerontology, Bakker, Mark K., Kanning, Jos P., Abraham, Gad, Martinsen, Amy E., Winsvold, Bendik S., Zwart, John-Anker, Bourcier, Romain, Sawada, Tomonobu, Koido, Masaru, Kamatani, Yoichiro, Morel, Sandrine, Amouyel, Philippe, Debette, Stéphanie, Bijlenga, Philippe, Berrandou, Takiy, Ganesh, Santhi K., Bouatia-Naji, Nabila, Jones, Gregory, Bown, Matthew, Rinkel, Gabriel J. E., Veldink, Jan H., Ruigrok, Ynte M., Girotto, G., All-In Stroke, Hunt, Group, Cadisp, Consortium for Blood Pressure, International, Headache Genetics Consortium, International, Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group, International, Utrecht University [Utrecht], Baker Heart and Diabetes Institute (AUSTRALIA), University of Melbourne, University of Oslo (UiO), Norwegian University of Science and Technology (NTNU), Oslo University Hospital [Oslo], Centre hospitalier universitaire de Nantes (CHU Nantes), unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), The University of Tokyo (UTokyo), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Hôpital Universitaire de Genève = University Hospitals of Geneva (HUG), Université de Genève = University of Geneva (UNIGE), Excellence Laboratory LabEx DISTALZ, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Bordeaux [Bordeaux], Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), University of Michigan Medical School [Ann Arbor], University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, University of Otago [Dunedin, Nouvelle-Zélande], University of Leicester, Laboratoire de Neurosciences Fonctionnelles et Pathologies - UR UPJV 4559 (LNFP), Université de Picardie Jules Verne (UPJV), CHU Amiens-Picardie, HUNT All-In Stroke, CADISP group, International Consortium for Blood Pressure, International Headache Genetics Consortium, International Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group: Anne Hege Aamodt, Anne Heidi Skogholt, Ben M Brumpton, Cristen J Willer, Else C Sandset, Espen S Kristoffersen, Hanne Ellekjær, Ingrid Heuch, Jonas B Nielsen, Knut Hagen, Kristian Hveem, Lars G Fritsche, Laurent F Thomas, Linda M Pedersen, Maiken E Gabrielsen, Oddgeir L Holmen, Sigrid Børte, Wei Zhou, Shérine Abboud, Massimo Pandolfo, Vincent Thijs, Didier Leys, Marie Bodenant, Fabien Louillet, Emmanuel Touzé, Jean-Louis Mas, Yves Samson, Sara Leder, Anne Léger, Sandrine Deltour, Sophie Crozier, Isabelle Méresse, Sandrine Canaple, Olivier Godefroy, Maurice Giroud, Yannick Béjot, Pierre Decavel, Elizabeth Medeiros, Paola Montiel, Thierry Moulin, Fabrice Vuillier, Jean Dallongeville, Antti J Metso, Tiina Metso, Turgut Tatlisumak, Caspar Grond-Ginsbach, Christoph Lichy, Manja Kloss, Inge Werner, Marie-Luise Arnold, Michael Dos Santos, Armin Grau, Martin Dichgans, Constanze Thomas-Feles, Ralf Weber, Tobias Brandt, Alessandro Pezzini, Valeria De Giuli, Filomena Caria, Loris Poli, Alessandro Padovani, Anna Bersano, Silvia Lanfranconi, Simone Beretta, Carlo Ferrarese, Giacomo Giacolone, Stefano Paolucci, Philippe Lyrer, Stefan Engelter, Felix Fluri, Florian Hatz, Dominique Gisler, Leo Bonati, Henrik Gensicke, Margareth Amort, Hugh Markus, Jennifer Majersik, Bradford Worrall, Andrew Southerland, John Cole, Steven Kittner, Evangelos Evangelou, Helen R Warren, He Gao, Georgios Ntritsos, Niki Dimou, Tonu Esko, Reedik Mägi, Lili Milani, Peter Almgren, Thibaud Boutin, Jun Ding, Franco Giulianini, Elizabeth G Holliday, Anne U Jackson, Ruifang Li-Gao, Wei-Yu Lin, Jian'an Luan, Massimo Mangino, Christopher Oldmeadow, Bram Peter Prins, Yong Qian, Muralidharan Sargurupremraj, Nabi Shah, Praveen Surendran, Sébastien Thériault, Niek Verweij, Sara M Willems, Jing-Hua Zhao, John Connell, Renée de Mutsert, Alex Sf Doney, Martin Farrall, Cristina Menni, Andrew D Morris, Raymond Noordam, Guillaume Paré, Neil R Poulter, Denis C Shields, Alice Stanton, Simon Thom, Gonçalo Abecasis, Najaf Amin, Dan E Arking, Kristin L Ayers, Caterina M Barbieri, Chiara Batini, Joshua C Bis, Tineka Blake, Murielle Bochud, Michael Boehnke, Eric Boerwinkle, Dorret I Boomsma, Erwin P Bottinger, Peter S Braund, Marco Brumat, Archie Campbell, Harry Campbell, Aravinda Chakravarti, John C Chambers, Ganesh Chauhan, Marina Ciullo, Massimiliano Cocca, Francis Collins, Heather J Cordell, Gail Davies, Martin H de Borst, Eco J de Geus, Ian J Deary, Joris Deelen, Fabiola Del Greco M, Cumhur Yusuf Demirkale, Marcus Dörr, Georg B Ehret, Roberto Elosua, Stefan Enroth, A Mesut Erzurumluoglu, Teresa Ferreira, Mattias Frånberg, Oscar H Franco, Ilaria Gandin, Paolo Gasparini, Vilmantas Giedraitis, Christian Gieger, Giorgia Girotto, Anuj Goel, Alan J Gow, Vilmundur Gudnason, Xiuqing Guo, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Sarah E Harris, Catharina A Hartman, Aki S Havulinna, Andrew A Hicks, Edith Hofer, Albert Hofman, Jouke-Jan Hottenga, Jennifer E Huffman, Shih-Jen Hwang, Erik Ingelsson, Alan James, Rick Jansen, Marjo-Riitta Jarvelin, Roby Joehanes, Åsa Johansson, Andrew D Johnson, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Antti Jula, Mika Kähönen, Sekar Kathiresan, Bernard D Keavney, Kay-Tee Khaw, Paul Knekt, Joanne Knight, Ivana Kolcic, Jaspal S Kooner, Seppo Koskinen, Kati Kristiansson, Zoltan Kutalik, Maris Laan, Marty Larson, Lenore J Launer, Benjamin Lehne, Terho Lehtimäki, David Cm Liewald, Li Lin, Lars Lind, Cecilia M Lindgren, YongMei Liu, Ruth Jf Loos, Lorna M Lopez, Yingchang Lu, Leo-Pekka Lyytikäinen, Anubha Mahajan, Chrysovalanto Mamasoula, Jaume Marrugat, Jonathan Marten, Yuri Milaneschi, Anna Morgan, Andrew P Morris, Alanna C Morrison, Peter J Munson, Mike A Nalls, Priyanka Nandakumar, Christopher P Nelson, Teemu Niiranen, Ilja M Nolte, Teresa Nutile, Albertine J Oldehinkel, Ben A Oostra, Paul F O'Reilly, Elin Org, Sandosh Padmanabhan, Walter Palmas, Aarno Palotie, Alison Pattie, Brenda Wjh Penninx, Markus Perola, Annette Peters, Ozren Polasek, Peter P Pramstaller, Quang Tri Nguyen, Olli T Raitakari, Rainer Rettig, Kenneth Rice, Paul M Ridker, Janina S Ried, Harriëtte Riese, Samuli Ripatti, Antonietta Robino, Lynda M Rose, Jerome I Rotter, Igor Rudan, Daniela Ruggiero, Yasaman Saba, Cinzia F Sala, Veikko Salomaa, Nilesh J Samani, Antti-Pekka Sarin, Reinhold Schmidt, Helena Schmidt, Nick Shrine, David Siscovick, Albert V Smith, Harold Snieder, Siim Sõber, Rossella Sorice, John M Starr, David J Stott, David P Strachan, Rona J Strawbridge, Johan Sundström, Morris A Swertz, Kent D Taylor, Alexander Teumer, Martin D Tobin, Maciej Tomaszewski, Daniela Toniolo, Michela Traglia, Stella Trompet, Jaakko Tuomilehto, Christophe Tzourio, André G Uitterlinden, Ahmad Vaez, Peter J van der Most, Cornelia M van Duijn, Germaine C Verwoert, Veronique Vitart, Uwe Völker, Peter Vollenweider, Dragana Vuckovic, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, James F Wilson, Alan F Wright, Jie Yao, Tatijana Zemunik, Weihua Zhang, John R Attia, Adam S Butterworth, Daniel I Chasman, David Conen, Francesco Cucca, John Danesh, Caroline Hayward, Joanna Mm Howson, Markku Laakso, Edward G Lakatta, Claudia Langenberg, Olle Melander, Dennis O Mook-Kanamori, Colin Na Palmer, Lorenz Risch, Robert A Scott, Rodney J Scott, Peter Sever, Tim D Spector, Pim van der Harst, Nicholas J Wareham, Eleftheria Zeggini, Daniel Levy, Patricia B Munroe, Christopher Newton-Cheh, Morris J Brown, Andres Metspalu, Bruce M Psaty, Louise V Wain, Paul Elliott, Mark J Caulfield, Padhraig Gormley, Verneri Anttila, Priit Palta, Tonu Esko, Tune H Pers, Kai-How Farh, Ester Cuenca-Leon, Mikko Muona, Nicholas A Furlotte, Tobias Kurth, Andres Ingason, George McMahon, Lannie Ligthart, Gisela M Terwindt, Mikko Kallela, Tobias M Freilinger, Caroline Ran, Scott G Gordon, Anine H Stam, Stacy Steinberg, Guntram Borck, Markku Koiranen, Lydia Quaye, Hieab H H Adams, Terho Lehtimäki, Antti-Pekka Sarin, Juho Wedenoja, David A Hinds, Julie E Buring, Markus Schürks, Paul M Ridker, Maria Gudlaug Hrafnsdottir, Hreinn Stefansson, Susan M Ring, Jouke-Jan Hottenga, Brenda W J H Penninx, Markus Färkkilä, Ville Artto, Mari Kaunisto, Salli Vepsäläinen, Rainer Malik, Andrew C Heath, Pamela A F Madden, Nicholas G Martin, Grant W Montgomery, Mitja I Kurki, Mart Kals, Reedik Mägi, Kalle Pärn, Eija Hämäläinen, Hailiang Huang, Andrea E Byrnes, Lude Franke, Jie Huang, Evie Stergiakouli, Phil H Lee, Cynthia Sandor, Caleb Webber, Zameel Cader, Bertram Muller-Myhsok, Stefan Schreiber, Thomas Meitinger, Johan G Eriksson, Veikko Salomaa, Kauko Heikkilä, Elizabeth Loehrer, Andre G Uitterlinden, Albert Hofman, Cornelia M van Duijn, Lynn Cherkas, Linda M Pedersen, Audun Stubhaug, Christopher S Nielsen, Minna Männikkö, Evelin Mihailov, Lili Milani, Hartmut Göbel, Ann-Louise Esserlind, Anne Francke Christensen, Thomas Folkmann Hansen, Thomas Werge, Jaakko Kaprio, Arpo J Aromaa, Olli Raitakari, M Arfan Ikram, Tim Spector, Marjo-Riitta Järvelin, Andres Metspalu, Christian Kubisch, David P Strachan, Michel D Ferrari, Andrea C Belin, Martin Dichgans, Maija Wessman, Arn M J M van den Maagdenberg, Dorret I Boomsma, George Davey Smith, Kari Stefansson, Nicholas Eriksson, Mark J Daly, Benjamin M Neale, Jes Olesen, Daniel I Chasman, Dale R Nyholt, Aarno Palotie, Masato Akiyama, Varinder S Alg, Sigrid Børte, Joseph P Broderick, Ben M Brumpton, Jérôme Dauvillier, Hubert Desal, Christian Dina, Christoph M Friedrich, Emília I Gaál-Paavola, Jean-Christophe Gentric, Sven Hirsch, Isabel C Hostettler, Henry Houlden, Kristian Hveem, Juha E Jääskeläinen, Marianne Bakke Johnsen, Liming Li, Kuang Lin, Antti Lindgren, Olivier Martin, Koichi Matsuda, Iona Y Millwood, Olivier Naggara, Mika Niemelä, Joanna Pera, Richard Redon, Guy A Rouleau, Marie Søfteland Sandvei, Sabine Schilling, Eimad Shotar, Agnieszka Slowik, Chikashi Terao, W M Monique Verschuren, Robin G Walters, David J Werring, Cristen J Willer, Daniel Woo, Bradford B Worrall, Sirui Zhou, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and Admin, Oskar
Subjects: Advanced and Specialized Nursing, Incidence, risk assessment, Smoking/epidemiology, intracranial aneurysm, genetic heterogeneity, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Risk Factors, Intracranial Aneurysm/epidemiology, Humans, Subarachnoid Hemorrhage/epidemiology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, genetics, Neurology (clinical), aneurysmal subarachnoid hemorrhage, genetic, Cardiology and Cardiovascular Medicine
Abstract: Background: Recently, common genetic risk factors for intracranial aneurysm (IA) and aneurysmal subarachnoid hemorrhage (ASAH) were found to explain a large amount of disease heritability and therefore have potential to be used for genetic risk prediction. We constructed a genetic risk score to (1) predict ASAH incidence and IA presence (combined set of unruptured IA and ASAH) and (2) assess its association with patient characteristics. Methods: A genetic risk score incorporating genetic association data for IA and 17 traits related to IA (so-called metaGRS) was created using 1161 IA cases and 407 392 controls from the UK Biobank population study. The metaGRS was validated in combination with risk factors blood pressure, sex, and smoking in 828 IA cases and 68 568 controls from the Nordic HUNT population study. Furthermore, we assessed association between the metaGRS and patient characteristics in a cohort of 5560 IA patients. Results: Per SD increase of metaGRS, the hazard ratio for ASAH incidence was 1.34 (95% CI, 1.20–1.51) and the odds ratio for IA presence 1.09 (95% CI, 1.01–1.18). Upon including the metaGRS on top of clinical risk factors, the concordance index to predict ASAH hazard increased from 0.63 (95% CI, 0.59–0.67) to 0.65 (95% CI, 0.62–0.69), while prediction of IA presence did not improve. The metaGRS was statistically significantly associated with age at ASAH (β=−4.82×10 −3 per year [95% CI, −6.49×10 −3 to −3.14×10 −3 ]; P =1.82×10 −8 ), and location of IA at the internal carotid artery (odds ratio=0.92 [95% CI, 0.86–0.98]; P =0.0041). Conclusions: The metaGRS was predictive of ASAH incidence, although with limited added value over clinical risk factors. The metaGRS was not predictive of IA presence. Therefore, we do not recommend using this metaGRS in daily clinical care. Genetic risk does partly explain the clinical heterogeneity of IA warranting prioritization of clinical heterogeneity in future genetic prediction studies of IA and ASAH.
Published: 2023

19. DeepPheWAS : an R package for phenotype generation and association analysis for phenome-wide association studies

Author: Richard J Packer, Alex T Williams, William Hennah, Micaela T Eisenberg, Nick Shrine, Katherine A Fawcett, Willow Pearson, Anna L Guyatt, Ahmed Edris, Edward J Hollox, Mikko Marttila, Balasubramanya S Rao, John Raymond Bratty, Louise V Wain, Frank Dudbridge, Martin D Tobin, and Neuroscience Center
Subjects: Statistics and Probability, Computational Mathematics, Computational Theory and Mathematics, Loci, 1184 Genetics, developmental biology, physiology, Molecular Biology, Biochemistry, Computer Science Applications
Abstract: Summary DeepPheWAS is an R package for phenome-wide association studies that creates clinically curated composite phenotypes and integrates quantitative phenotypes from primary care data, longitudinal trajectories of quantitative measures, disease progression and drug response phenotypes. Tools are provided for efficient analysis of association with any genetic input, under any genetic model, with optional sex-stratified analysis, and for developing novel phenotypes. Availability and implementation The DeepPheWAS R package is freely available under GNU general public licence v3.0 from at https://github.com/Richard-Packer/DeepPheWAS. Supplementary information Supplementary data are available at Bioinformatics online.
Published: 2023

20. Identifying COPD subtypes using multi-trait genetics

Author: Andrey Ziyatdinov, Brian D. Hobbs, Samir Kanaan-Izquierdo, Matthew Moll, Phuwanat Sakornsakolpat, Nick Shrine, Jing Chen, Kijoung Song, Russell P. Bowler, Peter J. Castaldi, Martin D. Tobin, Peter Kraft, Edwin K. Silverman, Hanna Julienne, Hugues Aschard, and Michael H. Cho
Subjects: Article
Abstract: 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. Our clustering analysis of the variants-phenotypes association matrix identified three clusters of genetic variants with different effects on white blood cell counts, height, and body mass index (BMI). To assess the potential clinical and molecular effects of these groups of variants, we investigated the association between cluster-specific genetic risk scores and phenotypes in the COPDGene cohort. We observed differences in steroid use, BMI, lymphocyte counts, chronic bronchitis, and differential gene and protein expression across the three genetic risk scores. Our results suggest that multi-phenotype analysis of obstructive lung disease-related risk variants may identify genetically driven phenotypic patterns in COPD.
Published: 2023

21. Genetic and clinical characteristics of treatment-resistant depression using primary care records in two UK cohorts

Author: Saskia P. Hagenaars, Robert C. Free, Louise Moles, Louise V. Wain, David Shepherd, Nick Shrine, Alessandro Serretti, Chiara Fabbri, Cathryn M. Lewis, Alexander T. Williams, Catherine John, Ken B. Hanscombe, Martin D. Tobin, Fabbri C., Hagenaars S.P., John C., Williams A.T., Shrine N., Moles L., Hanscombe K.B., Serretti A., Shepherd D.J., Free R.C., Wain L.V., Tobin M.D., and Lewis C.M.
Subjects: medicine.medical_specialty, Population, Article, Depressive Disorder, Treatment-Resistant, Cellular and Molecular Neuroscience, Internal medicine, mental disorders, Genetics, medicine, Humans, Attention deficit hyperactivity disorder, education, Molecular Biology, Depression (differential diagnoses), Depressive Disorder, Major, education.field_of_study, Primary Health Care, Depression, business.industry, medicine.disease, Neuroticism, Obesity, United Kingdom, Psychiatry and Mental health, Antidepressant, Major depressive disorder, business, Treatment-resistant depression, Human
Abstract: 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). Using prescribing records, TRD was defined from at least two switches between antidepressant drugs, each prescribed for at least 6 weeks. Clinical-demographic characteristics, SNP-based heritability (h2SNP) and genetic overlap with psychiatric and non-psychiatric traits were compared in TRD and non-TRD MDD cases. In 230,096 and 8926 UKB and EXCEED participants with primary care data, respectively, the prevalence of MDD was 8.7% and 14.2%, of which 13.2% and 13.5% was TRD, respectively. In both cohorts, MDD defined from primary care records was strongly associated with MDD PRS, and in UKB it showed overlap of 71–88% with other MDD definitions. In UKB, TRD vs healthy controls and non-TRD vs healthy controls h2SNP was comparable (0.25 [SE = 0.04] and 0.19 [SE = 0.02], respectively). TRD vs non-TRD was positively associated with the PRS of attention deficit hyperactivity disorder, with lower socio-economic status, obesity, higher neuroticism and other unfavourable clinical characteristics. This study demonstrated that MDD and TRD can be reliably defined using primary care records and provides the first large scale population assessment of the genetic, clinical and demographic characteristics of TRD.
Published: 2021

22. Phenotypic and functional translation of IL33 genetics in asthma

Author: David O. Bates, Vincent Pang, Judith M. Vonk, Charlote K. Billington, John W. Holloway, Sangita Bhaker, Cornelis J. Vermeulen, Don D. Sin, Ian Sayers, Martin D. Tobin, Peter H. Howarth, F. Nicole Dijk, David C. Nickle, Ian P. Hall, Yohan Bossé, Louise V. Wain, Dominick E. Shaw, John D Blakey, Andrew M. Fogarty, Amisha Singapuri, Michael A. Portelli, Martijn C. Nawijn, Cheng J. Xu, Andrew V. Benest, Ma'en Obeidat, Liam G Heaney, Jenny Hankinson, Maarten van den Berge, Rekha Chaudhuri, Angela Simpson, Tricia M. McKeever, Simon R. Johnson, Adel H. Mansur, Robert Niven, Zara Pogson, Gabrielle A. Lockett, Christopher E. Brightling, Amanda P. Henry, Neil C. Thomson, Nick Shrine, Gerard H. Koppelman, Maria Ketelaar, Alen Faiz, and Groningen Research Institute for Asthma and COPD (GRIAC)
Subjects: Adult, Male, 0301 basic medicine, Immunology, asthma phenotypes, Genome-wide association study, Single-nucleotide polymorphism, eQTL, IL33 SNPs, functional translation, Polymorphism, Single Nucleotide, Atopy, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Immunology and Allergy, Eosinophilia, Genetic Predisposition to Disease, Asthma, bronchial epithelium, Genetics, House dust mite, biology, business.industry, Middle Aged, respiratory system, Interleukin-33, medicine.disease, biology.organism_classification, respiratory tract diseases, 030104 developmental biology, Gene Expression Regulation, 030228 respiratory system, Expression quantitative trait loci, Sputum, Female, medicine.symptom, business, Genome-Wide Association Study
Abstract: 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. The functional consequences of IL33 asthma SNPs remain unknown. Objective: This study sought to determine whether IL33 SNPs associate with asthma-related phenotypes and with IL33 expression in lung or bronchial epithelium. This study investigated the effect of increased IL33 expression on human bronchial epithelial cell (HBEC) function. Methods: Association between IL33 SNPs (Chr9: 5,815,786-6,657,983) and asthma phenotypes (Lifelines/DAG [Dutch Asthma GWAS]/GASP [Genetics of Asthma Severity & Phenotypes] cohorts) and between SNPs and expression (lung tissue, bronchial brushes, HBECs) was done using regression modeling. Lentiviral overexpression was used to study IL33 effects on HBECs. Results: We found that 161 SNPs spanning the IL33 region associated with 1 or more asthma phenotypes after correction for multiple testing. We report a main independent signal tagged by rs992969 associating with blood eosinophil levels, asthma, and eosinophilic asthma. A second, independent signal tagged by rs4008366 presented modest association with eosinophilic asthma. Neither signal associated with FEV 1, FEV 1/forced vital capacity, atopy, and age of asthma onset. The 2 IL33 signals are expression quantitative loci in bronchial brushes and cultured HBECs, but not in lung tissue. IL33 overexpression in vitro resulted in reduced viability and reactive oxygen species–capturing of HBECs, without influencing epithelial cell count, metabolic activity, or barrier function. Conclusions: We identify IL33 as an epithelial susceptibility gene for eosinophilia and asthma, provide mechanistic insight, and implicate targeting of the IL33 pathway specifically in eosinophilic asthma.
Published: 2021

23. Multi-ancestry genome-wide association study improves resolution of genes, pathways and pleiotropy for lung function and chronic obstructive pulmonary disease

Author: Nick Shrine, Abril G Izquierdo, Jing Chen, Richard Packer, Robert J Hall, Anna L Guyatt, Chiara Batini, Rebecca J Thompson, Chandan Pavuluri, Vidhi Malik, Brian D Hobbs, Matthew Moll, Wonji Kim, Ruth Tal-Singer, Per Bakke, Katherine A Fawcett, Catherine John, Kayesha Coley, Noemi Nicole Piga, Alfred Pozarickij, Kuang Lin, Iona Y Millwood, Zhengming Chen, Liming Li, Sara RA Wielscher, Lies Lahousse, Guy Brusselle, Andre G Uitterlinden, Ani Manichaikul, Elizabeth C Oelsner, Stephen S Rich, R. Graham Barr, Shona M Kerr, Veronique Vitart, Michael R Brown, Matthias Wielscher, Medea Imboden, Ayoung Jeong, Traci M Bartz, Sina A Gharib, Claudia Flexeder, Stefan Karrasch, Christian Gieger, Annette Peters, Beate Stubbe, Xiaowei Hu, Victor E Ortega, Deborah A Meyers, Eugene R Bleecker, Stacey B Gabriel, Namrata Gupta, Albert Vernon Smith, Jian’an Luan, Jing-Hua Zhao, Ailin F Hansen, Arnulf Langhammer, Cristen Willer, Laxmi Bhatta, David Porteous, Blair H Smith, Archie Campbell, Tamar Sofer, Jiwon Lee, Martha L Daviglus, Bing Yu, Elise Lim, Hanfei Xu, George T O’Connor, Gaurav Thareja, Omar M E., Hamdi Mbarek, Karsten Suhre, Raquel Granell, Tariq O Faquih, Pieter S Hiemstra, Annelies M Slats, Benjamin H Mullin, Jennie Hui, Alan James, John Beilby, Karina Patasova, Pirro Hysi, Jukka T Koskela, Annah B Wyss, Jianping Jin, Sinjini Sikdar, Mikyeong Lee, Sebastian May-Wilson, Nicola Pirastu, Katherine A Kentistou, Peter K Joshi, Paul RHJ Timmers, Alexander T Williams, Robert C Free, Xueyang Wang, John L Morrison, Frank D Gilliland, Zhanghua Chen, Carol A Wang, Rachel E Foong, Sarah E Harris, Adele Taylor, Paul Redmond, James P Cook, Anubha Mahajan, Lars Lind, Teemu Palviainen, Terho Lehtimäki, Olli T Raitakari, Jaakko Kaprio, Taina Rantanen, Kirsi H Pietiläinen, Simon R Cox, Craig E Pennell, Graham L Hall, W. James Gauderman, Chris Brightling, James F Wilson, Tuula Vasankari, Tarja Laitinen, Veikko Salomaa, Dennis O Mook-Kanamori, Nicholas J Timpson, Eleftheria Zeggini, Josée Dupuis, Caroline Hayward, Ben Brumpton, Claudia Langenberg, Stefan Weiss, Georg Homuth, Carsten Oliver Schmidt, Nicole Probst-Hensch, Marjo-Riitta Jarvelin, Alanna C Morrison, Ozren Polasek, Igor Rudan, Joo-Hyeon Lee, Ian Sayers, Emma L Rawlins, Frank Dudbridge, Edwin K Silverman, David P Strachan, Robin G Walters, Andrew P Morris, Stephanie J London, Michael H Cho, Louise V Wain, Ian P Hall, and Martin D Tobin
Abstract: Lung function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry GWAS meta-analysis of lung function to date, comprising 580,869 participants, 1020 independent association signals identified 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These genes were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score (GRS) showed strong association with COPD across ancestry groups. We undertook phenome-wide association studies (PheWAS) for selected associated variants, and trait and pathway-specific GRS to infer possible consequences of intervening in pathways underlying lung function. We highlight new putative causal variants, genes, proteins and pathways, including those targeted by existing drugs. These findings bring us closer to understanding the mechanisms underlying lung function and COPD, and should inform functional genomics experiments and potentially future COPD therapies.
Published: 2022

24. Genetic Associations and Architecture of Asthma-COPD Overlap

Author: Catherine John, Anna L. Guyatt, Nick Shrine, Richard Packer, Thorunn A. Olafsdottir, Jiangyuan Liu, Lystra P. Hayden, Su H. Chu, Jukka T. Koskela, Jian’an Luan, Xingnan Li, Natalie Terzikhan, Hanfei Xu, Traci M. Bartz, Hans Petersen, Shuguang Leng, Steven A. Belinsky, Aivaras Cepelis, Ana I. Hernández Cordero, Ma’en Obeidat, Gudmar Thorleifsson, Deborah A. Meyers, Eugene R. Bleecker, Lori C. Sakoda, Carlos Iribarren, Yohannes Tesfaigzi, Sina A. Gharib, Josée Dupuis, Guy Brusselle, Lies Lahousse, Victor E. Ortega, Ingileif Jonsdottir, Don D. Sin, Yohan Bossé, Maarten van den Berge, David Nickle, Jennifer K. Quint, Ian Sayers, Ian P. Hall, Claudia Langenberg, Samuli Ripatti, Tarja Laitinen, Ann C. Wu, Jessica Lasky-Su, Per Bakke, Amund Gulsvik, Craig P. Hersh, Caroline Hayward, Arnulf Langhammer, Ben Brumpton, Kari Stefansson, Michael H. Cho, Louise V. Wain, Martin D. Tobin, University of Helsinki, Institute for Molecular Medicine Finland, Faculty Common Matters (Faculty of Social Sciences), Department of Public Health, Centre of Excellence in Complex Disease Genetics, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, Groningen Research Institute for Asthma and COPD (GRIAC), and Epidemiology
Subjects: Pulmonary and Respiratory Medicine, HAY-FEVER, Pulmonary Disease, Chronic Obstructive/complications, Smoking/genetics, Respiratory System, spirometry, LOCI, Asthma/diagnosis, Critical Care and Intensive Care Medicine, OBSTRUCTIVE PULMONARY-DISEASE, Pulmonary Disease, Chronic Obstructive, BLOOD EOSINOPHIL COUNT, immune system diseases, Humans, COPD, GENOME-WIDE ASSOCIATION, Lung, RISK, genome-wide association study, HERITABILITY, Smoking, 1103 Clinical Sciences, asthma, 3126 Surgery, anesthesiology, intensive care, radiology, respiratory tract diseases, EXACERBATIONS, 3121 General medicine, internal medicine and other clinical medicine, epidemiology, Cardiology and Cardiovascular Medicine, Genome-Wide Association Study
Abstract: Background: Some people have characteristics of both asthma and COPD (asthma-COPD overlap), and evidence suggests they experience worse outcomes than those with either condition alone.Research Question: What is the genetic architecture of asthma-COPD overlap, and do the determinants of risk for asthma-COPD overlap differ from those for COPD or asthma?Study Design and Methods: We conducted a genome-wide association study in 8,068 asthma-COPD overlap case subjects and 40,360 control subjects without asthma or COPD of European ancestry in UK Biobank (stage 1). We followed up promising signals (P < 5 × 10–6) that remained associated in analyses comparing (1) asthma-COPD overlap vs asthma-only control subjects, and (2) asthma-COPD overlap vs COPD-only control subjects. These variants were analyzed in 12 independent cohorts (stage 2).Results: We selected 31 independent variants for further investigation in stage 2, and discovered eight novel signals (P < 5 × 10–8) for asthma-COPD overlap (meta-analysis of stage 1 and 2 studies). These signals suggest a spectrum of shared genetic influences, some predominantly influencing asthma (FAM105A, GLB1, PHB, TSLP), others predominantly influencing fixed airflow obstruction (IL17RD, C5orf56, HLA-DQB1). One intergenic signal on chromosome 5 had not been previously associated with asthma, COPD, or lung function. Subgroup analyses suggested that associations at these eight signals were not driven by smoking or age at asthma diagnosis, and in phenome-wide scans, eosinophil counts, atopy, and asthma traits were prominent.Interpretation: We identified eight signals for asthma-COPD overlap, which may represent loci that predispose to type 2 inflammation, and serious long-term consequences of asthma.
Published: 2022

25. Genome-Wide Gene-by-Smoking Interaction Study of Chronic Obstructive Pulmonary Disease

Author: John E. Hokanson, Nick Shrine, Brian D. Hobbs, Dmitry Prokopenko, Carl A. Melbourne, Edwin K. Silverman, Sharon M. Lutz, Louise V. Wain, Martin D. Tobin, Woori Kim, Phuwanat Sakornsakolpat, Terri H. Beaty, and Michael H. Cho
Subjects: Male, Oncology, medicine.medical_specialty, MECOM, Epidemiology, Genome-wide association study, Locus (genetics), White People, Pulmonary Disease, Chronic Obstructive, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Genetic predisposition, medicine, Humans, Genetic Predisposition to Disease, Gene–environment interaction, Allele, 030304 developmental biology, Genetic association, 0303 health sciences, COPD, business.industry, Smoking, Original Contribution, Middle Aged, medicine.disease, United Kingdom, Respiratory Function Tests, 030228 respiratory system, Case-Control Studies, Female, Gene-Environment Interaction, business, Genome-Wide Association Study
Abstract: 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. We considered 2 smoking variables: 1) ever/never and 2) current/noncurrent. In the 1-df test, we identified 1 genome-wide significant locus on 15q25.1 (cholinergic receptor nicotinic β4 subunit, or CHRNB4) for ever- and current smoking and identified PI*Z allele (rs28929474) of serpin family A member 1 (SERPINA1) for ever-smoking and 3q26.2 (MDS1 and EVI1 complex locus, or MECOM) for current smoking in an analysis of previously reported COPD loci. In the 2-df test, most of the significant signals were also significant for genetic marginal effects, aside from 16q22.1 (sphingomyelin phosphodiesterase 3, or SMPD3) and 19q13.2 (Egl-9 family hypoxia inducible factor 2, or EGLN2). The significant effects at 15q25.1 and 19q13.2 loci, both previously described in prior genome-wide association studies of COPD or smoking, were replicated in COPDGene and SpiroMeta. We identified interaction effects at previously reported COPD loci; however, we failed to identify novel susceptibility loci.
Published: 2020

26. Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts

Author: Alison D. Murray, Anna L. Guyatt, Jing Hua Zhao, Eugene R. Bleecker, Matthias Wielscher, Frank Dudbridge, Martin D. Tobin, Veronique Vitart, Ida Surakka, Nadia N. Hansel, Ozren Polasek, Caroline Hayward, David P. Strachan, Per Bakke, Stefan Karrasch, Anubha Mahajan, James F. Wilson, Shona M. Kerr, Ruth Tal-Singer, James D. Crapo, Victoria E. Jackson, Jonathan Marten, Olli T. Raitakari, María Soler Artigas, Medea Imboden, Sungho Won, Beate Stubbe, Ulf Gyllensten, George R. Washko, Eleftheria Zeggini, David A. Lynch, Brian D. Hobbs, Matthew Moll, Mika Kähönen, Rajesh Rawal, Guy Brusselle, Ma'en Obeidat, Nicholas J. Wareham, Claudia Langenberg, Nicole Probst-Hensch, Peter K. Joshi, Blair H. Smith, Stefan Weiss, Woo Jin Kim, Kathleen C. Barnes, Sarah E. Harris, David J. Porteous, Stefan Enroth, Ian P. Hall, Alan L. James, Sina A. Gharib, Paul R. H. J. Timmers, Xingnan Li, Louise V. Wain, John E. Hokanson, Holger Schulz, Ralf Ewert, Ani Manichaikul, Lies Lahousse, Georg Homuth, R. Graham Barr, Scott T. Weiss, Phuwanat Sakornsakolpat, Sara R.A. Wijnant, Edwin K. Silverman, Christian Gieger, Jennie Hui, Andrew P. Morris, James P. Cook, Michael J. McGeachie, Dawn L. DeMeo, Nick Shrine, Traci M. Bartz, Amund Gulsvik, Deborah A. Meyers, Katherine A. Kentistou, Igor Rudan, Jian'an Luan, Ian J. Deary, Catherine John, Michael H. Cho, Lars Lind, Marjo-Riitta Järvelin, Ah Ra Do, Terho Lehtimäki, Stephen S. Rich, Bruce M. Psaty, Tampere University, Department of Clinical Physiology and Nuclear Medicine, Clinical Medicine, Department of Clinical Chemistry, Epidemiology, and Pulmonary Medicine
Subjects: Pulmonary and Respiratory Medicine, Adult, Male, medicine.medical_specialty, AMERICAN THORACIC SOCIETY, Vital Capacity, LOCI, Genome-wide association study, EMPHYSEMA, Cohort Studies, 03 medical and health sciences, FEV1/FVC ratio, Pulmonary Disease, Chronic Obstructive, 0302 clinical medicine, Risk Factors, Internal medicine, Forced Expiratory Volume, adult, case-control studies, cohort studies, female, forced expiratory volume, genome-wide association study, humans, male, middle aged, phenotype, pulmonary disease, chronic obstructive, risk factors, vital capacity, Medicine and Health Sciences, medicine, COPD, Humans, SMOKING-BEHAVIOR, 030212 general & internal medicine, GENOME-WIDE ASSOCIATION, FAMILIAL AGGREGATION, GENETIC EPIDEMIOLOGY, Framingham Risk Score, HERITABILITY, business.industry, Case-control study, Family aggregation, Odds ratio, Articles, Middle Aged, medicine.disease, respiratory tract diseases, LUNG-FUNCTION, Phenotype, 030228 respiratory system, Genetic epidemiology, Case-Control Studies, Female, 3111 Biomedicine, business, Genome-Wide Association Study
Abstract: 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 (FEV1 and FEV1/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV1/FVC 1
Published: 2020

27. Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function

Author: George T. O'Connor, Natalie Terzikhan, Albert V. Smith, Georg Homuth, Nick Shrine, Raymond Noordam, Stephen B. Kritchevsky, Patricia A. Cassano, Matthias Wielscher, Tobias Bonten, Yongmei Liu, Kurt Lohman, Traci M. Bartz, Elizabeth C. Oelsner, John M. Starr, Sarah E. Harris, Ani Manichaikul, Stefan Weiss, Lies Lahousse, Stefan Karrasch, Tianzhong Yang, Josée Dupuis, Alanna C. Morrison, Holger Schulz, Stephen S. Rich, Han Chen, Ian P. Hall, Sven Gläser, Sina A. Gharib, Victoria E. Jackson, Christian Gieger, Kent D. Taylor, Ruifang Li-Gao, Marjo-Riitta Järvelin, Annette Peters, Ralf Ewert, Bruce M. Psaty, Dennis O. Mook-Kanamori, Peng Wei, Ian J. Deary, Guy Brusselle, Jiayi Xu, Claudia Flexeder, Stephanie J. London, R. G. Barr, Colleen M. Sitlani, Martin D. Tobin, and Epidemiology
Subjects: Male, Vital capacity, LOCI, Datasets as Topic, Diseases, Genome-wide association study, Receptors, G-Protein-Coupled, Pulmonary function testing, DESIGN, Risk Factors, Forced Expiratory Volume, Medicine and Health Sciences, Lung, POPULATION, Aged, 80 and over, Genetics, education.field_of_study, Multidisciplinary, Exons, Middle Aged, LUNG-FUNCTION, ENVIRONMENT INTERACTION, Cohort, Medicine, HEART, Female, HEALTH, Adult, Science, Population, Biology, PROFILE, Polymorphism, Single Nucleotide, Article, Cigarette Smoking, Humans, COHORT, GENOME-WIDE ASSOCIATION, education, Gene, Aged, Genetic association, Cyclic Nucleotide Phosphodiesterases, Type 3, Minor allele frequency, Feasibility Studies, Gene-Environment Interaction, FOLLOW-UP, Genome-Wide Association Study
Abstract: Genome-wide association studies have identified numerous common genetic variants associated with spirometric measures of pulmonary function, including forced expiratory volume in one second (FEV1), 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. We leveraged data on cigarette smoking, the major environmental risk factor for reduced lung function, by testing gene-by-smoking interaction effects only and simultaneously testing the genetic main effects and interaction effects. The most statistically significant signal that replicated was a previously reported low-frequency signal in GPR126, distinct from common variant associations in this gene. Although only nominal replication was obtained for a top rare variant signal rs142935352 in one of the two studies, interaction and joint tests for current smoking and PDE3B were significantly associated with FEV1. This study investigates the utility of assessing gene-by-smoking interactions and underscores their effects on potential pulmonary function.
Published: 2021

28. P040 Identification and functional characterisation of a rare MTTP variant underlying hereditary non-alcoholic fatty liver disease

Author: Guruprasad P. Aithal, Kotacherry T. Shenoy, Leena Kondarappassery Balakumaran, Mervyn G Thomas, Andrew M. Salter, Neil Bennett, Julian Barwell, Helen J Kuht, Pankaj Gupta, Edward J. Hollox, Jane I. Grove, Christopher P. Neal, Allister Grant, Ionna Ntalla, Catherine John, Louise V. Wain, Adeolu B. Adewoye, Peggy Cho Kiu Lo, Nicholas R.F. Hannan, Vishwaraj Vermala, Gabriela E. Jones, Nick Shrine, and Martin D. Tobin
Subjects: Genetics, business.industry, Fatty liver, Medicine, Identification (biology), Non alcoholic, Disease, business, medicine.disease
Published: 2021

29. Identification and functional characterisation of a rare MTTP variant underlying hereditary non-alcoholic fatty liver disease

Author: Neil Bennett, Ioanna Ntalla, Allister Grant, Jane I. Grove, Pankaj Gupta, Catherine John, Adeolu B. Adewoye, Julian Barwell, Nicholas R.F. Hannan, Gabriela E. Jones, Guruprasad P. Aithal, Vishwaraj M. Vemala, Nick Shrine, Helen J Kuht, Leena Kondarappassery Balakumaran, Christopher P. Neal, Edward J. Hollox, Peggy Cho Kiu Lo, Louise V. Wain, Kotacherry T. Shenoy, Martin D. Tobin, Mervyn G Thomas, and Andrew M. Salter
Subjects: Genetics, Apolipoprotein B, Fatty liver, medicine, Wild type, biology.protein, Abetalipoproteinemia, Heterozygote advantage, Biology, Metabolic syndrome, medicine.disease, Exome sequencing, Microsomal triglyceride transfer protein
Abstract: Background and aimsNon-alcoholic fatty liver disease (NAFLD) is a complex trait that has a global prevalence estimated as 25%. 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.MethodsExome sequencing and genome comparisons were used to identify the likely causal variant. We extensively characterised the clinical phenotype and post-prandial metabolic responses of family members with the identified novel variant in comparison to healthy non-carriers and wild type patients with NAFLD. Variant-expressing hepatocyte-like cells (HLCs) were derived from human induced pluripotent stem cells generated from homozygous donor skin fibroblasts. The phenotype was assessed using imaging, targeted RNA analysis and molecular expression arrays.ResultsWe identified a rare causal variant in MTTP, c.1691T>C p.I564T (rs745447480) encoding microsomal triglyceride transfer protein (MTP) associated with progressive non-alcoholic fatty liver disease, unrelated to metabolic syndrome. Although other described mutations in MTTP cause abetalipoproteinemia, neither homozygotes nor heterozygotes exhibited characteristic manifestations of this severe disease. HLCs derived from a homozygote donor had lower lipoprotein ApoB secretion, compared to wild type cells. Cytoplasmic triglyceride accumulation in HLCs triggered endoplasmic reticulum stress, secretion of pro-inflammatory mediators and production of reactive oxygen species.ConclusionWe have identified and characterized a rare causal variant in MTTP and homozygosity for MTTP p.I564T is associated with progressive NAFLD without any other manifestations of abetalipoproteinemia.
Published: 2021

30. Genome-wide gene-air pollution interaction analysis of lung function in 300,000 individuals

Author: Anna Hansell, Chen J, Nick Shrine, Tobin, Louise V. Wain, Erzurumluoglu Am, and Carl A. Melbourne
Subjects: Spirometry, Pollution, medicine.diagnostic_test, media_common.quotation_subject, Air pollution, Physiology, Biology, Interaction, medicine.disease_cause, chemistry.chemical_compound, FEV1/FVC ratio, chemistry, Genotype, medicine, Nitrogen dioxide, Allele, media_common
Abstract: Impaired lung function is predictive of mortality and is a key component in the diagnosis 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. How genetic factors and air pollution interact to affect lung function is however less understood.We conducted a genome-wide gene-air pollution interaction analysis of spirometry measures with three measures of air pollution at home address: particulate matter (PM2.5& PM10) and nitrogen dioxide (NO2), in approximately 300,000 unrelated European individuals from UK Biobank. We explored air pollution interactions with previously identified lung function signals and determined their combined interaction effect using a polygenic risk score (PRS).We identified seven genome-wide interaction signals (P< 5 × 10−8), and a further ten suggestive interaction signals (P< 5 × 10−7). We found statistical evidence of interaction with PM2.5for previous lung function signal, rs10841302, nearAEBP2, suggesting increased susceptibility of FEV1/FVC to PM2.5, as copies of the G allele increased (interaction beta: −0.073 percentage points, 95%CI: −0.105, −0.041). There was no observed interaction between air pollutants and the weighted genetic risk score.We carried out the largest genome-wide gene-air pollution interaction study of lung function and identified effects of clinically relevant size and significance. We observed up to 440ml lower lung function for certain genotypes associated with mean levels of outdoor air pollution at baseline, which is approximately equivalent to nine years of normal loss of lung function.
Published: 2021

31. New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries

Author: Phuwanat Sakornsakolpat, James F. Wilson, María Soler Artigas, Beate Stubbe, Nicholas J. Wareham, James D. Crapo, Victoria E. Jackson, Eleftheria Zeggini, Olga G. Troyanskaya, Medea Imboden, A. Mesut Erzurumluoglu, Adam S. Butterworth, Carl A. Melbourne, Ian Sayers, Lars Lind, Stefan Weiss, Margaret M. Parker, Timmers Prhj, Edwin K. Silverman, John C. Whittaker, Ian P. Hall, Ozren Polasek, Mika Kähönen, Katherine A. Fawcett, Anna Hansell, Liming Li, David J. Porteous, Louise V. Wain, Robert A. Scott, Richard Packer, Richard J. Allen, Robin G Walters, Anna L. Guyatt, Terho Lehtimäki, Nicole Probst-Hensch, Shona M. Kerr, Christian Gieger, Matthias Wielscher, Rajesh Rawal, Jing Hua Zhao, John E. Hokanson, Holger Schulz, Nicola F. Reeve, Claudia Langenberg, Ke Hao, Corry-Anke Brandsma, Megan L. Paynton, Vitart, Dmitry Prokopenko, Jennie Hui, Eugene R. Bleecker, Ma'en Obeidat, John Danesh, Ralf Ewert, Benjamin B. Sun, Frank Dudbridge, Jian Zhou, Brian D. Hobbs, Blair H. Smith, Don D. Sin, Dawn L. DeMeo, Joseph C. Maranville, Ida Surakka, Alison Catherine Murray, Nicholas Locantore, Katherine A. Kentistou, Terri H. Beaty, Igor Rudan, Kuang Lin, Amund Gulsvik, Ian J. Deary, Ruth Tal-Singer, Kijoung Song, David C. Nickle, Michael H. Cho, Jian'an Luan, Joshua D. Hoffman, Georg Homuth, Zhengming Chen, Dandi Qiao, Heiko Runz, Per Bakke, Chiara Batini, Caroline Hayward, Stefan Karrasch, Alan James, Andrew P. Morris, Prescott G. Woodruff, Laura M Yerges Armstrong, David Sparrow, Ulf Gyllensten, James P. Cook, Jonathan Marten, Olli T. Raitakari, Nick Shrine, Deborah A. Meyers, Tobin, Ruth Boxall, Marjo-Riitta Järvelin, David P. Strachan, Sarah E. Harris, Philippe Joubert, Stefan Enroth, Xingnan Li, van den Berge M, Anubha Mahajan, Yohan Bossé, Peter K. Joshi, Shrine, Nick [0000-0003-3641-4371], Guyatt, Anna L [0000-0003-1860-6337], Hobbs, Brian D [0000-0001-9564-0745], Sakornsakolpat, Phuwanat [0000-0002-4308-0974], Obeidat, Ma'en [0000-0002-5443-2752], Weiss, Stefan [0000-0002-3553-4315], Kentistou, Katherine A [0000-0002-5816-664X], Sun, Benjamin B [0000-0001-6347-2281], Enroth, Stefan [0000-0002-5056-9137], Vitart, Veronique [0000-0002-4991-3797], Allen, Richard J [0000-0002-8450-3056], Beaty, Terri H [0000-0002-7644-1705], Bossé, Yohan [0000-0002-3067-3711], Joshi, Peter K [0000-0002-6361-5059], Mahajan, Anubha [0000-0001-5585-3420], Murray, Alison [0000-0003-4915-4847], Porteous, David J [0000-0003-1249-6106], Sayers, Ian [0000-0001-5601-5410], Smith, Blair H [0000-0002-5362-9430], Tal-Singer, Ruth [0000-0002-5275-8062], Timmers, Paul RHJ [0000-0002-5197-1267], Troyanskaya, Olga G [0000-0002-5676-5737], Rudan, Igor [0000-0001-6993-6884], Wilson, James F [0000-0001-5751-9178], Zeggini, Eleftheria [0000-0003-4238-659X], Hayward, Caroline [0000-0002-9405-9550], Morris, Andrew P [0000-0002-6805-6014], Butterworth, Adam S [0000-0002-6915-9015], Walters, Robin G [0000-0002-9179-0321], Cho, Michael H [0000-0002-4907-1657], Strachan, David P [0000-0001-7854-1366], Tobin, Martin D [0000-0002-3596-7874], Wain, Louise V [0000-0003-4951-1867], Apollo - University of Cambridge Repository, Institute for Molecular Medicine Finland, Groningen Research Institute for Asthma and COPD (GRIAC), UNIVERSITY OF OULU, and Commission of the European Communities
Subjects: Male, Smoking/genetics, LOCI, Genome-wide association study, VARIANTS, Bioinformatics, Genome-wide association studies, Pulmonary Disease, Chronic Obstructive, 0302 clinical medicine, Polymorphism (computer science), Risk Factors, GWAS, GENOME-WIDE ASSOCIATION, HERITABILITY, COPD, Lung, 11 Medical and Health Sciences, Genetics & Heredity, Aged, 80 and over, 0303 health sciences, Genetic Predisposition to Disease/genetics, Smoking, 1184 Genetics, developmental biology, physiology, Middle Aged, Polymorphism, Single Nucleotide/genetics, 3. Good health, medicine.anatomical_structure, Meta-analysis, Genome-Wide Association Study/methods, Medical genetics, Female, Life Sciences & Biomedicine, medicine.medical_specialty, Understanding Society Scientific Group, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Genetics, medicine, Humans, Genetic Predisposition to Disease, 030304 developmental biology, Genetic association, Aged, Respiratory tract diseases, Science & Technology, Case-control study, Lung/physiopathology, 06 Biological Sciences, medicine.disease, Pulmonary Disease, Chronic Obstructive/genetics, respiratory tract diseases, Case-Control Studies, 3111 Biomedicine, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract: Reduced lung function predicts mortality and is key to the diagnosis of chronic obstructive pulmonary disease (COPD). In a genome-wide association study in 400,102 individuals of European ancestry, we define 279 lung function signals, 139 of which are new. In combination, these variants strongly predict COPD in independent patient populations. Furthermore, the combined effect of these variants showed generalizability across smokers and never-smokers, and across ancestral groups. We highlight biological pathways, known and potential drug targets for COPD and, in phenome-wide association studies, autoimmune-related and other pleiotropic effects of lung function associated variants. This new genetic evidence has potential to improve future preventive and therapeutic strategies for COPD., Editorial summary: A genome-wide association study in over 400,000 individuals identifies 139 new signals for lung function. These variants can predict chronic obstructive pulmonary disease in independent, trans-ethnic cohorts.
Published: 2019

32. SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Author: Matteo D’Antonio, Jennifer P. Nguyen, Timothy D. Arthur, Hiroko Matsui, Agnieszka D’Antonio-Chronowska, Kelly A. Frazer, Benjamin M. Neale, Mark Daly, Andrea Ganna, Christine Stevens, Gita A. Pathak, Shea J. Andrews, Masahiro Kanai, Mattia Cordioli, Juha Karjalainen, Renato Polimanti, Matti Pirinen, Nadia Harerimana, Kumar Veerapen, Brooke Wolford, Huy Nguyen, Matthew Solomonson, Rachel G. Liao, Karolina Chwialkowska, Amy Trankiem, Mary K. Balaconis, Caroline Hayward, Anne Richmond, Archie Campbell, Marcela Morris, Chloe Fawns-Ritchie, Joseph T. Glessner, Douglas M. Shaw, Xiao Chang, Hannah Polikowski, Petty E. Lauren, Hung-Hsin Chen, Zhu Wanying, Hakon Hakonarson, David J. Porteous, Jennifer Below, Kari North, Joseph B. McCormick, Paul R.H.J. Timmers, James F. Wilson, Albert Tenesa, Kenton D’Mellow, Shona M. Kerr, Mari E.K. Niemi, Lindokuhle Nkambul, Kathrin Aprile von Hohenstaufen, Ali Sobh, Madonna M. Eltoukhy, Amr M. Yassen, Mohamed A.F. Hegazy, Kamal Okasha, Mohammed A. Eid, Hanteera S. Moahmed, Doaa Shahin, Yasser M. El-Sherbiny, Tamer A. Elhadidy, Mohamed S. Abd Elghafar, Jehan J. El-Jawhari, Attia A.S. Mohamed, Marwa H. Elnagdy, Amr Samir, Mahmoud Abdel-Aziz, Walid T. Khafaga, Walaa M. El-Lawaty, Mohamed S. Torky, Mohamed R. El-shanshory, Chiara Batini, Paul H. Lee, Nick Shrine, Alexander T. Williams, Martin D. Tobin, Anna L. Guyatt, Catherine John, Richard J. Packer, Altaf Ali, Robert C. Free, Xueyang Wang, Louise V. Wain, Edward J. Hollox, Laura D. Venn, Catherine E. Bee, Emma L. Adams, Ahmadreza Niavarani, Bahareh Sharififard, Rasoul Aliannejad, Ali Amirsavadkouhi, Zeinab Naderpour, Hengameh Ansari Tadi, Afshar Etemadi Aleagha, Saeideh Ahmadi, Seyed Behrooz Mohseni Moghaddam, Alireza Adamsara, Morteza Saeedi, Hamed Abdollahi, Abdolmajid Hosseini, Pajaree Chariyavilaskul, Monpat Chamnanphon, Thitima B. Suttichet, Vorasuk Shotelersuk, Monnat Pongpanich, Chureerat Phokaew, Wanna Chetruengchai, Watsamon Jantarabenjakul, Opass Putchareon, Pattama Torvorapanit, Thanyawee Puthanakit, Pintip Suchartlikitwong, Nattiya Hirankarn, Voraphoj Nilaratanakul, Pimpayao Sodsai, Ben M. Brumpton, Kristian Hveem, Cristen Willer, Wei Zhou, Tormod Rogne, Erik Solligard, Bjørn Olav Åsvold, Malak Abedalthagafi, Manal Alaamery, Saleh Alqahtani, Dona Baraka, Fawz Al Harthi, Ebtehal Alsolm, Leen Abu Safieh, Albandary M. Alowayn, Fatimah Alqubaishi, Amal Al Mutairi, Serghei Mangul, Abdulraheem Alshareef, Mona Sawaji, Mansour Almutairi, Nora Aljawini, Nour Albesher, Yaseen M. Arabi, Ebrahim S. Mahmoud, Amin K. Khattab, Roaa T. Halawani, Ziab Z. Alahmadey, Jehad K. Albakri, Walaa A. Felemban, Bandar A. Suliman, Rana Hasanato, Laila Al-Awdah, Jahad Alghamdi, Deema AlZahrani, Sameera AlJohani, Hani Al-Afghani, May Alrashed, Nouf AlDhawi, Hadeel AlBardis, Sarah Alkwai, Moneera Alswailm, Faisal Almalki, Maha Albeladi, Iman Almohammed, Eman Barhoush, Anoud Albader, Salam Massadeh, Abdulaziz AlMalik, Sara Alotaibi, Bader Alghamdi, Junghyun Jung, Mohammad S. Fawzy, Yunsung Lee, Per Magnus, Lill-Iren S. Trogstad, Øyvind Helgeland, Jennifer R. Harris, Massimo Mangino, Tim D. Spector, Duncan Emma, Sandra P. Smieszek, Bartlomiej P. Przychodzen, Christos Polymeropoulos, Vasilios Polymeropoulos, Mihael H. Polymeropoulos, Israel Fernandez-Cadenas, Jordi Perez-Tur, Laia Llucià-Carol, Natalia Cullell, Elena Muiño, Jara Cárcel-Márquez, Marta L. DeDiego, Lara Lloret Iglesias, Anna M. Planas, Alex Soriano, Veronica Rico, Daiana Agüero, Josep L. Bedini, Francisco Lozano, Carlos Domingo, Veronica Robles, Francisca Ruiz-Jaén, Leonardo Márquez, Juan Gomez, Eliecer Coto, Guillermo M. Albaiceta, Marta García-Clemente, David Dalmau, Maria J. Arranz, Beatriz Dietl, Alex Serra-Llovich, Pere Soler, Roger Colobrán, Andrea Martín-Nalda, Alba Parra Martínez, David Bernardo, Silvia Rojo, Aida Fiz-López, Elisa Arribas, Paloma de la Cal-Sabater, Tomás Segura, Esther González-Villa, Gemma Serrano-Heras, Joan Martí-Fàbregas, Elena Jiménez-Xarrié, Alicia de Felipe Mimbrera, Jaime Masjuan, Sebastian García-Madrona, Anna Domínguez-Mayoral, Joan Montaner Villalonga, Paloma Menéndez-Valladares, Daniel I. Chasman, Julie E. Buring, Paul M. Ridker, Giulianini Franco, Howard D. Sesso, JoAnn E. Manson, Joseph R. Glessner, Carolina Medina-Gomez, Andre G. Uitterlinden, M. Arfan Ikram, Kati Kristiansson, Sami Koskelainen, Markus Perola, Kati Donner, Katja Kivinen, Aarno Palotie, Samuli Ripatti, Sanni Ruotsalainen, Mari Kaunisto, null FinnGen, Tomoko Nakanishi, Guillaume Butler-Laporte, Vincenzo Forgetta, David R. Morrison, Biswarup Ghosh, Laetitia Laurent, Alexandre Belisle, Danielle Henry, Tala Abdullah, Olumide Adeleye, Noor Mamlouk, Nofar Kimchi, Zaman Afrasiabi, Nardin Rezk Branka Vulesevic, Meriem Bouab, Charlotte Guzman, Louis Petitjean, Chris Tselios, Xiaoqing Xue, Erwin Schurr, Jonathan Afilalo, Marc Afilalo, Maureen Oliveira, Bluma Brenner, Pierre Lepage, Jiannis Ragoussis, Daniel Auld, Nathalie Brassard, Madeleine Durand, Michaël Chassé, Daniel E. Kaufmann, G. Mark Lathrop, Vincent Mooser, J. Brent Richards, Rui Li, Darin Adra, Souad Rahmouni, Michel Georges, Michel Moutschen, Benoit Misset, Gilles Darcis, Julien Guiot, Julien Guntz, Samira Azarzar, Stéphanie Gofflot, Yves Beguin, Sabine Claassen, Olivier Malaise, Pascale Huynen, Christelle Meuris, Marie Thys, Jessica Jacques, Philippe Léonard, Frederic Frippiat, Jean-Baptiste Giot, Anne-Sophie Sauvage, Christian Von Frenckell, Yasmine Belhaj, Bernard Lambermont, Sara Pigazzini, Lindokuhle Nkambule, Michelle Daya, Jonathan Shortt, Nicholas Rafaels, Stephen J. Wicks, Kristy Crooks, Kathleen C. Barnes, Christopher R. Gignoux, Sameer Chavan, Triin Laisk, Kristi Läll, Maarja Lepamets, Reedik Mägi, Tõnu Esko, Ene Reimann, Lili Milani, Helene Alavere, Kristjan Metsalu, Mairo Puusepp, Andres Metspalu, Paul Naaber, Edward Laane, Jaana Pesukova, Pärt Peterson, Kai Kisand, Jekaterina Tabri, Raili Allos, Kati Hensen, Joel Starkopf, Inge Ringmets, Anu Tamm, Anne Kallaste, Pierre-Yves Bochud, Carlo Rivolta, Stéphanie Bibert, Mathieu Quinodoz, Dhryata Kamdar, Noémie Boillat, Semira Gonseth Nussle, Werner Albrich, Noémie Suh, Dionysios Neofytos, Véronique Erard, Cathy Voide, null FHoGID, null RegCOVID, null P-PredictUs, null SeroCOVID, null CRiPSI, Rafael de Cid, Iván Galván-Femenía, Natalia Blay, Anna Carreras, Beatriz Cortés, Xavier Farré, Lauro Sumoy, Victor Moreno, Josep Maria Mercader, Marta Guindo-Martinez, David Torrents, Manolis Kogevinas, Judith Garcia-Aymerich, Gemma Castaño-Vinyals, Carlota Dobaño, Alessandra Renieri, Francesca Mari, Chiara Fallerini, Sergio Daga, Elisa Benetti, Margherita Baldassarri, Francesca Fava, Elisa Frullanti, Floriana Valentino, Gabriella Doddato, Annarita Giliberti, Rossella Tita, Sara Amitrano, Mirella Bruttini, Susanna Croci, Ilaria Meloni, Maria Antonietta Mencarelli, Caterina Lo Rizzo, Anna Maria Pinto, Giada Beligni, Andrea Tommasi, Laura Di Sarno, Maria Palmieri, Miriam Lucia Carriero, Diana Alaverdian, Stefano Busani, Raffaele Bruno, Marco Vecchia, Mary Ann Belli, Nicola Picchiotti, Maurizio Sanarico, Marco Gori, Simone Furini, Stefania Mantovani, Serena Ludovisi, Mario Umberto Mondelli, Francesco Castelli, Eugenia Quiros-Roldan, Melania Degli Antoni, Isabella Zanella, Massimo Vaghi, Stefano Rusconi, Matteo Siano, Francesca Montagnani, Arianna Emiliozzi, Massimiliano Fabbiani, Barbara Rossetti, Elena Bargagli, Laura Bergantini, Miriana D’Alessandro, Paolo Cameli, David Bennett, Federico Anedda, Simona Marcantonio, Sabino Scolletta, Federico Franchi, Maria Antonietta Mazzei, Susanna Guerrini, Edoardo Conticini, Luca Cantarini, Bruno Frediani, Danilo Tacconi, Chiara Spertilli, Marco Feri, Alice Donati, Raffaele Scala, Luca Guidelli, Genni Spargi, Marta Corridi, Cesira Nencioni, Leonardo Croci, Maria Bandini, Gian Piero Caldarelli, Paolo Piacentini, Elena Desanctis, Silvia Cappelli, Anna Canaccini, Agnese Verzuri, Valentina Anemoli, Agostino Ognibene, Alessandro Pancrazzi, Maria Lorubbio, Antonella D’Arminio Monforte, Federica Gaia Miraglia, Massimo Girardis, Sophie Venturelli, Andrea Cossarizza, Andrea Antinori, Alessandra Vergori, Arianna Gabrieli, Agostino Riva, Daniela Francisci, Elisabetta Schiaroli, Francesco Paciosi, Pier Giorgio Scotton, Francesca Andretta, Sandro Panese, Renzo Scaggiante, Francesca Gatti, Saverio Giuseppe Parisi, Stefano Baratti, Matteo Della Monica, Carmelo Piscopo, Mario Capasso, Roberta Russo, Immacolata Andolfo, Achille Iolascon, Giuseppe Fiorentino, Massimo Carella, Marco Castori, Giuseppe Merla, Gabriella Maria Squeo, Filippo Aucella, Pamela Raggi, Carmen Marciano, Rita Perna, Matteo Bassetti, Antonio Di Biagio, Maurizio Sanguinetti, Luca Masucci, Serafina Valente, Marco Mandalà, Alessia Giorli, Lorenzo Salerni, Patrizia Zucchi, Pierpaolo Parravicini, Elisabetta Menatti, Tullio Trotta, Ferdinando Giannattasio, Gabriella Coiro, Fabio Lena, Domenico A. Coviello, Cristina Mussini, Enrico Martinelli, Sandro Mancarella, Luisa Tavecchia, Lia Crotti, Chiara Gabbi, Marco Rizzi, Franco Maggiolo, Diego Ripamonti, Tiziana Bachetti, Maria Teresa La Rovere, Simona Sarzi-Braga, Maurizio Bussotti, Stefano Ceri, Pietro Pinoli, Francesco Raimondi, Filippo Biscarini, Alessandra Stella, Kristina Zguro, Katia Capitani, Claudia Suardi, Simona Dei, Gianfranco Parati, Sabrina Ravaglia, Rosangela Artuso, Giordano Bottà, Paolo Di Domenico, Ilaria Rancan, Antonio Perrella Francesco Bianchi, Davide Romani, Paola Bergomi, Emanuele Catena, Riccardo Colombo, Marco Tanfoni, Antonella Vincenti, Claudio Ferri, Davide Grassi, Gloria Pessina, Mario Tumbarello, Massimo Di Pietro, Ravaglia Sabrina, Sauro Luchi, Chiara Barbieri, Donatella Acquilini, Elena Andreucci, Francesco Vladimiro Segala, Giusy Tiseo, Marco Falcone, Mirjam Lista, Monica Poscente, Oreste De Vivo, Paola Petrocelli, Alessandra Guarnaccia, Silvia Baroni, Albert V. Smith, Andrew P. Boughton, Kevin W. Li, Jonathon LeFaive, Aubrey Annis, Anne E. Justice, Tooraj Mirshahi, Geetha Chittoor, Navya Shilpa Josyula, Jack A. Kosmicki, Manuel A.R. Ferreira, Joseph B. Leader, Dave J. Carey, Matthew C. Gass, Julie E. Horowitz, Michael N. Cantor, Ashish Yadav, Aris Baras, Goncalo R. Abecasis, David A. van Heel, Karen A. Hunt, Dan Mason, Qin Qin Huang, Sarah Finer, null Genes & Health Research Team, Bhavi Trivedi, Christopher J. Griffiths, Hilary C. Martin, John Wright, Richard C. Trembath, Nicole Soranzo, Jing Hua Zhao, Adam S. Butterworth, John Danesh, Emanuele Di Angelantonio, Lude Franke Marike Boezen, Patrick Deelen, Annique Claringbould, Esteban Lopera, Robert Warmerdam, Judith.M. Vonk, Irene van Blokland, Pauline Lanting, Anil P.S. Ori, Brooke Wolford Sebastian Zöllner, Jiongming Wang, Andrew Beck, Gina Peloso, Yuk-Lam Ho, Yan V. Sun, Jennifer E. Huffman, Christopher J. O’Donnell, Kelly Cho, Phil Tsao, J. Michael Gaziano, Michel (M.G.) Nivard, Eco (E.J.C.) de geus, Meike Bartels, Jouke Jan Hottenga, Scott T. Weiss, Elizabeth W. Karlson, Jordan W. Smoller, Robert C. Green, Yen-Chen Anne Feng, Josep Mercader, Shawn N. Murphy, James B. Meigs, Ann E. Woolley, Emma F. Perez, Daniel Rader, Anurag Verma, Marylyn D. Ritchie, Binglan Li, Shefali S. Verma, Anastasia Lucas, Yuki Bradford, Hugo Zeberg, Robert Frithiof, Michael Hultström, Miklos Lipcsey, Lindo Nkambul, Nicolas Tardif, Olav Rooyackers, Jonathan Grip, Tomislav Maricic, Konrad J. Karczewski, Elizabeth G. Atkinson, Kristin Tsuo, Nikolas Baya, Patrick Turley, Rahul Gupta, Shawneequa Callier, Raymond K. Walters, Duncan S. Palmer, Gopal Sarma, Nathan Cheng, Wenhan Lu, Sam Bryant, Claire Churchhouse, Caroline Cusick, Jacqueline I. Goldstein, Daniel King, Cotton Seed, Hilary Finucane, Alicia R. Martin, F. Kyle Satterstrom, Daniel J. Wilson, Jacob Armstrong, Justine K. Rudkin, Gavin Band, Sarah G. Earle, Shang-Kuan Lin, Nicolas Arning, Derrick W. Crook, David H. Wyllie, Anne Marie O’Connell, Chris C.A. Spencer, Nils Koelling, Mark J. Caulfield, Richard H. Scott, Tom Fowler, Loukas Moutsianas, Athanasios Kousathanas, Dorota Pasko, Susan Walker, Augusto Rendon, Alex Stuckey, Christopher A. Odhams, Daniel Rhodes, Georgia Chan, Prabhu Arumugam, Catherine A. Ball, Eurie L. Hong, Kristin Rand, Ahna Girshick, Harendra Guturu, Asher Haug Baltzell, Genevieve Roberts, Danny Park, Marie Coignet, Shannon McCurdy, Spencer Knight, Raghavendran Partha, Brooke Rhead, Miao Zhang, Nathan Berkowitz, Michael Gaddis, Keith Noto, Luong Ruiz, Milos Pavlovic, Laura G. Sloofman, Alexander W. Charney, Noam D. Beckmann, Eric E. Schadt, Daniel M. Jordan, Ryan C. Thompson, Kyle Gettler, Noura S. Abul-Husn, Steven Ascolillo, Joseph D. Buxbaum, Kumardeep Chaudhary, Judy H. Cho, Yuval Itan, Eimear E. Kenny, Gillian M. Belbin, Stuart C. Sealfon, Robert P. Sebra, Irene Salib, Brett L. Collins, Tess Levy, Bari Britvan, Katherine Keller, Lara Tang, Michael Peruggia, Liam L. Hiester, Kristi Niblo, Alexandra Aksentijevich, Alexander Labkowsky, Avromie Karp, Menachem Zlatopolsky, Michael Preuss, Ruth J.F. Loos, Girish N. Nadkarni, Ron Do, Clive Hoggart, Sam Choi, Slayton J. Underwood, Paul O’Reilly, Laura M. Huckins, Marissa Zyndorf, AII - Infectious diseases, Amsterdam Neuroscience - Neuroinfection & -inflammation, and Neurology
Subjects: Medical Physiology, Gene Expression, Genome-wide association study, Genome, Severity of Illness Index, colocalization, Gene expression, Databases, Genetic, Ethnicity, 2.1 Biological and endogenous factors, GWAS, Aetiology, Biology (General), Lung, Genetics, Chromosome Mapping, Single Nucleotide, Organ Specificity, Biotechnology, Cell type, QH301-705.5, Quantitative Trait Loci, Single-nucleotide polymorphism, Biology, eQTL, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, Databases, Genetic, SNP, Humans, Genetic Predisposition to Disease, COVID-19 Host Genetics Initiative, Polymorphism, Gene, COVID-19, SARS-CoV-2, Gene Expression Profiling, Prevention, Human Genome, Computational Biology, Genetic Variation, Good Health and Well Being, Expression quantitative trait loci, Biochemistry and Cell Biology, Transcriptome, Genome-Wide Association Study
Abstract: Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types., Graphical abstract, D’Antonio et al. characterize associations between GWAS signals for COVID-19 disease and eQTLs in 69 human tissues to identify causal variants and their underlying molecular mechanisms. They show that diverse symptoms and disease severity of COVID-19 are associated with variants affecting gene expression in a wide variety of tissues.
Published: 2022

33. Variants associated with HHIP expression have sex-differential effects on lung function

Author: Carl A. Melbourne, Caroline Hayward, Stefan Karrasch, Dirk Keidel, Katherine A. Fawcett, Susan M. Ring, Yohan Bossé, Carol A. Wang, Ben Michael Brumpton, Claudia Langenberg, Peter K. Joshi, Ke Hao, Igor Rudan, David J. Porteous, Don D. Sin, Raquel Granell, Blair H. Smith, Jian'an Luan, Kristian Hveem, Sarah E. Harris, Sandosh Padmanabhan, Archie Campbell, Sebastian May-Wilson, Veronique Vitart, Nicola Pirastu, Arnulf Langhammer, Craig E. Pennell, John M. Starr, Stefan Weiss, Karina Patasova, Nicholas J. Wareham, James F. Wilson, Deborah Jarvis, Tim D. Spector, Nick Shrine, David P. Strachan, Martin D. Tobin, Beate Stubbe, David M. Evans, Kirsi H. Pietiläinen, Mangino Massimo, Ian P. Hall, Graham L. Hall, Jaakko Kaprio, Ralf Ewert, Rachel E. Foong, Claudia Flexeder, Louise V. Wain, Ma'en Obeidat, Cristen J. Willer, Leo-Pekka Lyytikäinen, Olli T. Raitakari, John Henderson, Konstantin Strauch, Marta R Moksnes, Cosetta Minelli, Nicole Probst-Hensch, Pirro G. Hysi, Anna L. Guyatt, Henry Völzke, Thomas Meitinger, Peter D. Sly, Ozren Polasek, Anne Richmond, Mika Kähönen, Maarten van den Berge, Medea Imboden, Thibaud Boutin, Lucija Klaric, Laura Portas, Terho Lehtimäki, Ian J. Deary, Taina Rantanen, Catherine John, Teemu Palviainen, Fawcett, Katherine A [0000-0002-6675-2112], Obeidat, Ma'en [0000-0002-5443-2752], Shrine, Nick [0000-0003-3641-4371], Weiss, Stefan [0000-0002-3553-4315], May-Wilson, Sebastian [0000-0003-2668-5717], Boutin, Thibaud S [0000-0003-4754-1675], Portas, Laura [0000-0003-1789-1893], Harris, Sarah E [0000-0002-4941-5106], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Palviainen, Teemu [0000-0002-7847-8384], Keidel, Dirk [0000-0003-4706-5728], Minelli, Cosetta [0000-0001-9166-3958], Langenberg, Claudia [0000-0002-5017-7344], Bossé, Yohan [0000-0002-3067-3711], Van den Berge, Maarten [0000-0002-9336-7340], Sin, Don D [0000-0002-0756-6643], Campbell, Archie [0000-0003-0198-5078], Porteous, David [0000-0003-1249-6106], Padmanabhan, Sandosh [0000-0003-3869-5808], Smith, Blair H [0000-0002-5362-9430], Ring, Sue [0000-0003-3103-9330], Rantanen, Taina [0000-0002-1604-1945], Pennell, Craig E [0000-0002-0937-6165], Kaprio, Jaakko [0000-0002-3716-2455], Vitart, Veronique [0000-0002-4991-3797], Hayward, Caroline [0000-0002-9405-9550], Hall, Ian P [0000-0001-9933-3216], Wain, Louise V [0000-0003-4951-1867], Apollo - University of Cambridge Repository, Groningen Research Institute for Asthma and COPD (GRIAC), Technology Centre, University of Helsinki, Institute for Molecular Medicine Finland, Genetic Epidemiology, HUS Abdominal Center, Department of Medicine, Clinicum, CAMM - Research Program for Clinical and Molecular Metabolism, Department of Public Health, Research Programs Unit, Tampere University, Clinical Medicine, Department of Clinical Chemistry, TAYS Heart Centre, and Department of Clinical Physiology and Nuclear Medicine
Subjects: 0301 basic medicine, Spirometry, medicine.medical_specialty, HHIP, Medicine (miscellaneous), Expression, Genome-wide Interaction Study, Hhip, Lung Function, Sex, Single-nucleotide polymorphism, Biology, 3121 Internal medicine, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Genome-wide interaction study, Lung function, Internal medicine, expression, medicine, sex, Allele, Enhancer, Gene, Lung, genome-wide interaction study, medicine.diagnostic_test, 1184 Genetics, developmental biology, physiology, lung function, ALSPAC, Differential effects, 030104 developmental biology, Endocrinology, medicine.anatomical_structure, 030228 respiratory system, 3121 General medicine, internal medicine and other clinical medicine, 3111 Biomedicine
Abstract: Background: 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. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P-8) interactions with sex on lung function, and 21 showed suggestive interactions (P-6). The strongest signal, from rs7697189 (chr4:145436894) on forced expiratory volume in 1 second (FEV1) (P=3.15x10-15), was replicated (P=0.016) in SpiroMeta. The C allele increased FEV1 more in males (untransformed FEV1 β=0.028 [SE 0.0022] litres) than females (β=0.009 [SE 0.0014] litres), and this effect was not accounted for by differential effects on height, smoking or pubertal age. rs7697189 resides upstream of the hedgehog-interacting protein (HHIP) gene and was previously associated with lung function and HHIP lung expression. We found HHIP expression was significantly different between the sexes (P=6.90x10-6), but we could not detect sex differential effects of rs7697189 on expression. Conclusions: We identified a novel genotype-by-sex interaction at a putative enhancer region upstream of the HHIP gene. Establishing the mechanism by which HHIP SNPs have different effects on lung function in males and females will be important for our understanding of lung health and diseases in both sexes.
Published: 2021

34. Pleiotropic associations of heterozygosity for the SERPINA1 Z allele in the UK Biobank

Author: Martin D. Tobin, Nick Shrine, Richard Packer, Susan M. Ring, Nicholas J. Timpson, Richard Eastell, Kijoung Song, Aliki-Eleni Farmaki, Guoqing Qian, Raquel Granell, Robert A. Scott, Laura M. Yerges-Armstrong, Ian P. Hall, Louise V. Wain, Katherine A. Fawcett, and Catherine John
Subjects: Pulmonary and Respiratory Medicine, Vital capacity, medicine.medical_specialty, Heart disease, Population, Loss of heterozygosity, 03 medical and health sciences, FEV1/FVC ratio, Liver disease, 0302 clinical medicine, Internal medicine, Medicine, Allele, education, 030304 developmental biology, 0303 health sciences, education.field_of_study, business.industry, medicine.disease, 3. Good health, Endocrinology, 030228 respiratory system, Liver function, business
Abstract: Homozygosity for the SERPINA1 Z allele causes α1-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). Z allele heterozygosity was strongly associated with increased height (β=1.02 cm, p=3.91×10−68), and with other nonrespiratory phenotypes including increased risk of gall bladder disease, reduced risk of heart disease and lower blood pressure, reduced risk of osteoarthritis and reduced bone mineral density, increased risk of headache and enlarged prostate, as well as with blood biomarkers of liver function. Heterozygosity was associated with higher height-adjusted forced expiratory volume in 1 s (FEV1) (β=19.36 mL, p=9.21×10−4) and FEV1/forced vital capacity (β=0.0031, p=1.22×10−5) in nonsmokers, whereas in smokers, this protective effect was abolished. Furthermore, we show for the first time that sex modifies the association of the Z allele on lung function. We conclude that Z allele heterozygosity and homozygosity exhibit opposing effects on lung function in the UK population, and that these associations are modified by smoking and sex. In exploratory analyses, heterozygosity for the Z allele also showed pleiotropic associations with nonrespiratory health-related traits and disease risk. Tweetable abstract @ERSpublications click to tweet Heterozygosity for the SERPINA1 Z allele is associated with higher lung function in nonsmokers (but this advantage is abolished by smoking) as well as a variety of nonrespiratory diseases and traits, including liver-, heart- and bone-related conditions https://bit.ly/37XC0Yg Introduction Homozygosity for the SERPINA1 Z allele (rs28929474(T)) is the commonest cause of severe α1-antitrypsin deficiency (AATD) and is a well-established genetic risk factor for lung diseases such as chronic obstructive pulmonary disease (COPD). However, the health consequences of heterozygosity for the Z allele are not as well-understood [1]. Given that approximately one in 30 Europeans is heterozygous for the Z allele, the phenotypic consequences of carriage of this allele could have important public health implications. Some previous studies have sought to characterise the effect of Z allele heterozygosity on nonrespiratory traits, particularly liver diseases [2–6]. However, these have often been carried out in small sample sizes and/or clinical subgroups. The recent development of phenome-wide association studies (PheWASs) and the availability of the well-phenotyped UK Biobank population-based cohort provides a platform for systematic investigation of the effects of heterozygosity for the Z allele on nonrespiratory traits. PheWASs test the association between genetic variants and a large number of phenotypic traits, including diseases and their subtypes, and potential intermediate phenotypes [7]. This differs from genome-wide association studies, which test a large number of variants across the genome for association with only one trait. The effect of Z allele heterozygosity on lung function traits and lung disease has been the subject of many studies. Recent COPD case–control and family-based studies have shown reduced lung function and increased risk of COPD in heterozygous current and former smokers [8–11]. However, a population-based study demonstrated no significant reductions in lung function in heterozygous smokers, despite having greater numbers of heterozygous smokers compared to previous studies [12]. It also showed enhanced lung function in heterozygous individuals overall, partially explained by strong association of the Z allele with increased height. This discrepancy may be due, in part, to the fact that identifying and recruiting study participants based on their health status (as in case–control studies [8, 9]) or based on the health status of a family member [10, 11] can lead to causal estimates that are subject to ascertainment bias [13], whereas population-based studies [12, 14] overcome these biases. The effects of the Z allele on lung function in relation to smoking status therefore remain uncertain. Finally, despite evidence for sex-differential effects of Z allele homozygosity on lung function [15, 16], we are not aware of any studies that have compared the effect of Z allele heterozygosity on lung function in males versus females. We therefore systematically evaluated the effects of Z allele heterozygosity in the UK biobank population, which in total includes >18 000 Z allele heterozygotes. We aimed: 1) to undertake the most extensive PheWAS to date, including blood biomarkers, for Z allele heterozygosity and homozygosity to identify effects beyond the respiratory system; and 2) to fully define the effects of Z allele heterozygosity on lung function measures (forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC)) in smokers and nonsmokers and in males and females.
Published: 2021

35. Familial hypereosinophilia associated with eosinophilic gastrointestinal symptoms in individuals with a missense mutation in CKLF-like MARVEL transmembrane domain containing 3

Author: Neil Bennett, Edward J. Hollox, Tumisang Ntereke, Charles Hitchman, Nick Shrine, Hasret Ozturk, Peter Wurm, Martin D. Tobin, Andrew J. Wardlaw, Julian Barwell, Louise V. Wain, Bibek Gooptu, and Ade Adewoye
Subjects: 0301 basic medicine, Immunology, Mutation, Missense, Hypereosinophilia, 03 medical and health sciences, 0302 clinical medicine, Eosinophilic, Eosinophilia, Immunology and Allergy, Medicine, Missense mutation, Humans, Myeloproliferative neoplasm, MARVEL Domain-Containing Proteins, business.industry, Hypereosinophilic syndrome, respiratory system, medicine.disease, 030104 developmental biology, 030228 respiratory system, Gastrointestinal disease, medicine.symptom, Chemokines, business, Granulomatosis with polyangiitis
Abstract: A persistent unexplained eosinophilia is relatively unusual and has a number of causes of which allergy and infection with helminthic parasites are the most common diagnoses. Less common causes include idiopathic hypereosinophilic syndrome (HES), eosinophilic granulomatosis with polyangiitis (EGPA) and single organ conditions such as eosinophilic gastrointestinal disease (EGID) (1) . Although occasionally caused by myeloproliferative neoplasm in most cases eosinophilia is due to excess production of growth factors, particularly interleukin-5, by bystander cells which are often lymphoid in nature. Sometimes an environmental trigger can be identified, but the underlying cause of the eosinophilia often remains obscure.
Published: 2021

36. Smoking Interaction with a Polygenic Risk Score for Reduced Lung Function

Author: Phuwanat Sakornsakolpat, Terri H. Beaty, E.K. Silverman, Dandi Qiao, Louise V. Wain, Christine Ladd-Acosta, Woo Jin Kim, Tobin, Brian D. Hobbs, Matthew Moll, Nick Shrine, Nilanjan Chatterjee, Michael H. Cho, and Frank Dudbridge
Subjects: Spirometry, COPD, Vital capacity, medicine.diagnostic_test, business.industry, medicine.disease, Decile, FEV1/FVC ratio, Cohort, Genetic predisposition, medicine, Prospective cohort study, business, Demography
Abstract: ImportanceRisk to 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 contribute to quantitative measures of lung function.ObjectiveDetermine whether smoking modifies the effect of a polygenic risk score’s (PRS’s) association with reduced lung function.DesignUnited Kingdom (UK) Biobank prospective cohort study.SettingPopulation cohort.ParticipantsUK citizens of European ancestry aged 40-69 years, with genetic and spirometry data passing quality control metrics.ExposuresPRS, self-reported pack-years of smoking, ever-versus never-smoking status, and current-versus former-/never-smoking status.Main Outcomes and MeasuresForced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC). We tested for interactions with models including the main effects of PRS, different smoking variables, and their cross-product term(s). We also compared the effects of pack-years of smoking on FEV1/FVC for those in the highest versus lowest decile of predicted genetic risk for low lung function.ResultsWe included 319,730 individuals (24,915 with moderate-to-severe COPD). The PRS and pack-years were significantly associated with lower FEV1/FVC, as was the interaction term (β [interaction] = −0.0028 [95% CI: −0.0029, −0.0026]; all p < 0.0001). A stepwise increment in estimated effect sizes for these interaction terms was observed per 10 pack-years of smoking exposure (all p < 0.0001). There was evidence of significant interaction between PRS with ever/never smoking status (β [interaction] = −0.0064 [95% CI: −0.0068, −0.0060]) and current/not-current smoking (β [interaction] = −0.0091 [95% CI: −0.0097, −0.0084]). For any given level of pack-years of smoking exposure, FEV1/FVC was significantly lower for individuals in the tenth compared to the first decile of genetic risk (p < 0.0001). For every 20 pack-years of smoking, those in the top compared to the bottom decile of genetic risk showed nearly a twofold reduction in FEV1/FVC.Conclusions and RelevanceCOPD is characterized by diminished lung function, and our analyses suggest there is substantial interaction between genome-wide PRS and smoking exposures. While smoking has negative effects on lung function across all genetic risk categories, effects of smoking are highest in those with higher predicted genetic risk.Key PointsQuestionDoes cigarette smoking modify the magnitude of genetic effects on forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC)?FindingsFEV1/FVC is influenced by PRS-by-smoking interactions. Smoking was detrimental across all categories of predicted genetic risk, though it was worse for those with highest predicted genetic risks. For every reported 20 pack-years of reported smoking, individuals in the top compared to the bottom decile of genetic risk showed nearly twice the reduction in FEV1/FVC.MeaningElucidating mechanisms for the interaction between smoking and genetic risk could yield greater insight into the pathogenesis of chronic obstructive pulmonary disease (COPD).
Published: 2021

37. Genetic associations and architecture of asthma-chronic obstructive pulmonary disease overlap

Author: Jennifer K Quint, S. Leng, I. Jonsdottir, Tarja Laitinen, Amund Gulsvik, Natalie Terzikhan, Yohan Bossé, Caroline Hayward, Steven A. Belinsky, Ben Michael Brumpton, Hans Petersen, Xingnan Li, Victor E. Ortega, Richard Packer, C. Langenberg, Eugene R. Bleecker, Per Bakke, Ma'en Obeidat, Ian Sayers, A. Cepelis, Josée Dupuis, G. Thorleifsson, Martin D. Tobin, Yohannes Tesfaigzi, Lies Lahousse, Samuli Ripatti, Lystra P. Hayden, A. I. Hernandez Cordero, Carlos Iribarren, Jukka Koskela, Ian P. Hall, S.H. Chu, Sina A. Gharib, T.A. Olafsdottir, Louise V. Wain, Deborah A. Meyers, Catherine John, Craig P. Hersh, Anna L. Guyatt, Michael H. Cho, Ann Chen Wu, Guy Brusselle, David C. Nickle, Don D. Sin, M. van den Berge, Arnulf Langhammer, Jiangyuan Liu, Lori C. Sakoda, Nick Shrine, Jessica Lasky-Su, Traci M. Bartz, Hanfei Xu, K. Stefansson, and Jian'an Luan
Subjects: 0303 health sciences, medicine.medical_specialty, COPD, business.industry, Pulmonary disease, medicine.disease, Biobank, Signal on, Genetic architecture, respiratory tract diseases, 3. Good health, Asthma chronic, 03 medical and health sciences, 0302 clinical medicine, 030228 respiratory system, Internal medicine, medicine, business, Lung function, 030304 developmental biology, Asthma
Abstract: Some individuals have characteristics of both asthma and COPD (asthma-COPD overlap, ACO), and evidence suggests they experience worse outcomes than those with either condition alone. Improved knowledge of the genetic architecture would contribute to understanding whether determinants of risk in this group differ from those in COPD or asthma.We conducted a genome-wide association study in 8,068 cases and 40,360 controls of European ancestry from UK Biobank (stage 1). After excluding variants only associated with asthma or COPD we selected 31 variants for further investigation in 12 additional cohorts (stage 2), and discovered eight novel signals for ACO in a meta-analysis of stage 1 and 2 studies.Our signals include an intergenic signal on chromosome 5 not previously associated with asthma, COPD or lung function, and suggest a spectrum of shared and distinct genetic influences in asthma, COPD and ACO. A number of signals may represent loci that predispose to serious long-term consequences in people with asthma.
Published: 2020

38. A genome-wide association study of asthma-COPD overlap syndrome (ACOS)

Author: Victor E. Ortega, Anna L. Guyatt, Ann Chen Wu, Eugene R. Bleecker, Nick Shrine, Jessica Lasky-Su, Jukka Koskela, Thorunn Asta Olafsdottir, Traci M. Bartz, Samuli Ripatti, Deborah A. Meyers, Ian P. Hall, Caroline Hayward, Natalie Terzikhan, Sina A. Gharib, Lystra P. Hayden, Ben Michael Brumpton, Lies Lahousse, Louise V. Wain, Shuguang Leng, Kari Stefansson, Catherine John, Michael H. Cho, Carlos Iribarren, Josée Dupuis, Yohannes Tesfaigzi, Tarja Laitinen, Hanfei Xu, Claudia Langenberg, Hans Petersen, Su H. Chu, Ian Sayers, Martin D. Tobin, Gudmar Thorleifsson, Xingnan Li, Ingileif Jonsdottir, Arnulf Langhammer, Jian'an Luan, Jiangyuan Liu, and Lori C. Sakoda
Subjects: COPD, medicine.medical_specialty, business.industry, Genetic variants, Genome-wide association study, Overlap syndrome, medicine.disease, Biobank, respiratory tract diseases, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, 030228 respiratory system, Internal medicine, medicine, 030212 general & internal medicine, Asthma copd overlap, business, Lung function, Asthma
Abstract: Individuals with characteristics of both asthma and COPD (asthma-COPD overlap syndrome, ACOS) experience significantly worse outcomes than those with asthma or COPD alone. Despite hundreds of genetic associations with asthma, COPD and lung function, no genetic variants have specifically been associated with ACOS. We hypothesized that there are genetic determinants of ACOS and sought to identify these in a genome-wide association study. We defined ACOS based on self-reported doctor-diagnosed asthma and spirometric GOLD2+ airflow limitation. We tested 7693381 genetic variants for association with ACOS in 8068 cases and 40360 healthy controls from UK Biobank (stage 1). We identified signals where P Thirty-one genetic variants met criteria for inclusion in stage 2. Of these, eight were associated at genome-wide significance (P Whilst our results suggest that many genetic variants associated with ACOS are shared with asthma and/or COPD, we identify a new, distinct signal that may implicate cellular pathways characteristic of ACOS.
Published: 2020

39. Genetic and clinical characteristics of treatment-resistant depression using primary care records in two UK cohorts

Author: Nick Shrine, David Shepherd, Louise Moles, Chiara Fabbri, Louise V. Wain, Martin D. Tobin, Robert C. Free, Cathryn M. Lewis, Alexander T. Williams, Catherine John, Ken B. Hanscombe, Saskia P. Hagenaars, and Alessandro Serretti
Subjects: education.field_of_study, medicine.medical_specialty, business.industry, Population, Primary care, Heritability, medicine.disease, Internal medicine, mental disorders, Medicine, Attention deficit hyperactivity disorder, Major depressive disorder, Antidepressant, business, education, Treatment-resistant depression, Depression (differential diagnoses)
Abstract: Treatment-resistant depression (TRD) is a major contributor to the disability caused by major depressive disorder (MDD). Using primary care electronic health records from UK Biobank and EXCEED studies, we defined MDD and TRD, providing an easily accessible approach to investigate their clinical and genetic characteristics.MDD defined from primary care records was compared with other measures of depression and validated using the MDD polygenic risk score (PRS). Using prescribing records, TRD was defined from at least two switches between antidepressant drugs, each prescribed for at least six weeks. Clinical-demographic characteristics, SNP-heritability and genetic overlap with psychiatric and non-psychiatric traits were compared in TRD and non-TRD MDD cases.In 230,096 and 8,926 UKB and EXCEED participants with primary care data, respectively, the prevalence of MDD was 8.7% and 14.2%, of which 13.2% and 13.5% was TRD (2,430 and 159 cases), respectively. In both cohorts, MDD defined from primary care records was strongly associated with MDD PRS, and in UKB it showed overlap of 72%-88% with other MDD definitions. In UKB, TRD and non-TRD heritability was comparable (h2SNP = 0.25 [SE=0.04] and 0.19 [SE=0.02], respectively). TRD was positively associated with the polygenic risk score (PRS) of attention deficit hyperactivity disorder and negatively associated with the PRS of intelligence compared to non-TRD. It was more strongly associated with unfavourable clinical-demographic variables than non-TRD.This study demonstrated that MDD and TRD can be reliably defined using primary care records and provides the first large scale population assessment of the genetic, clinical and demographic characteristics of TRD.
Published: 2020
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40. Mendelian randomisation analyses of eosinophils and other blood cell types in relation to lung function and disease

Author: Alexander T. Williams, Catherine John, Nicola F. Reeve, Nuala A. Sheehan, Martin D. Tobin, Nick Shrine, Frank Dudbridge, Ian P. Hall, Louise V. Wain, and Anna L. Guyatt
Subjects: COPD, business.industry, Respiratory disease, Disease, respiratory system, Eosinophil, medicine.disease, respiratory tract diseases, FEV1/FVC ratio, medicine.anatomical_structure, Immunology, Mendelian randomization, Medicine, Respiratory system, business, Asthma
Abstract: BackgroundEosinophils are granulocytes associated with airway inflammation in respiratory disease. Eosinophil production and survival is controlled by interleukin-5: anti-interleukin-5 agents reduce asthma and COPD exacerbation frequency, and response correlates with baseline eosinophil counts. However, causal relationships between eosinophils and other respiratory phenotypes are less studied.MethodsWe investigated causality between eosinophils and: lung function, acute exacerbations of COPD (AECOPD), asthma-COPD overlap (ACO), moderate-to-severe asthma, and respiratory infections. We performed Mendelian randomization (MR) using 151 genetic variants from genome-wide association studies of blood eosinophil counts in UK Biobank/INTERVAL, and respiratory data from UK Biobank, using MR methods relying on different assumptions for validity. Multivariable MR using eight blood cell type exposures was performed for outcomes showing evidence of causation by eosinophils.FindingsThere was evidence that higher eosinophils reduce FEV1/FVC and FEV1 (weighted median estimator, SD change FEV1/FVC per SD eosinophils: −0.054 [95%CI −0.078,−0.029]. There was also evidence that eosinophils cause ACO (weighted median OR 1.44 [95%CI 1.19,1.74]), and asthma (weighted median OR 1.50 [95%CI 1.23,1.83]). Multivariable MR for FEV1/FVC, FEV1, ACO and asthma suggested that eosinophils were the cell type with the most important effect. Causal estimates of individual variants were heterogeneous, which may arise from pleiotropy.InterpretationWe found evidence that eosinophils reduce lung function, and increase ACO and asthma risk, on average over the set of genetic variants studied. Eosinophils appear to be causal determinants of fixed airflow obstruction among individuals with features of both asthma and COPD.FundingWellcome, BHF, MRC, BBSRC CASE studentship with GSK, GSK/BLF.
Published: 2020

41. Pleiotropic effects of heterozygosity for theSERPINA1Z allele in the UK Biobank

Author: Richard Packer, Richard Eastell, Katherine A. Fawcett, Nick Shrine, Laura M. Yerges-Armstrong, Ian P. Hall, Louise V. Wain, Tobin, Kijoung Song, Qian G, Aliki-Eleni Farmaki, N J Timpson, Catherine John, Robert A. Scott, Granell R, and Susan M. Ring
Subjects: medicine.medical_specialty, education.field_of_study, Lung, Heart disease, business.industry, Population, Disease, medicine.disease, Loss of heterozygosity, Liver disease, Endocrinology, medicine.anatomical_structure, Internal medicine, medicine, Liver function, Allele, business, education
Abstract: Homozygosity for theSERPINA1Z allele causes alpha-1 antitrypsin deficiency, a rare condition that can cause lung and liver disease. However, the effects of Z allele heterozygosity on non-respiratory phenotypes, and on lung function in the general population, remain unclear. We conducted the largest population-based study to date to determine Z allele effects on >2,400 phenotypes using the UK Biobank study (N>303,353). We detected strong associations between heterozygosity and non-respiratory phenotypes including increased height, increased risk of gall bladder disease, reduced risk of heart disease and lower blood pressure, reduced risk of osteoarthritis and reduced bone mineral density, increased risk of headache and enlarged prostate, as well as with blood biomarkers of liver function. Heterozygosity was associated with higher lung function in non-smokers, but smoking appears to abolish this protective effect. Individuals heterozygous for the Z allele may therefore have altered risk of smoking-induced lung disease and other, non-respiratory conditions.
Published: 2020
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42. Variants associated with

Author: Katherine A, Fawcett, Ma'en, Obeidat, Carl, Melbourne, Nick, Shrine, Anna L, Guyatt, Catherine, John, Jian'an, Luan, Anne, Richmond, Marta R, Moksnes, Raquel, Granell, Stefan, Weiss, Medea, Imboden, Sebastian, May-Wilson, Pirro, Hysi, Thibaud S, Boutin, Laura, Portas, Claudia, Flexeder, Sarah E, Harris, Carol A, Wang, Leo-Pekka, Lyytikäinen, Teemu, Palviainen, Rachel E, Foong, Dirk, Keidel, Cosetta, Minelli, Claudia, Langenberg, Yohan, Bossé, Maarten, Van den Berge, Don D, Sin, Ke, Hao, Archie, Campbell, David, Porteous, Sandosh, Padmanabhan, Blair H, Smith, David M, Evans, Sue, Ring, Arnulf, Langhammer, Kristian, Hveem, Cristen, Willer, Ralf, Ewert, Beate, Stubbe, Nicola, Pirastu, Lucija, Klaric, Peter K, Joshi, Karina, Patasova, Mangino, Massimo, Ozren, Polasek, John M, Starr, Stefan, Karrasch, Konstantin, Strauch, Thomas, Meitinger, Igor, Rudan, Taina, Rantanen, Kirsi, Pietiläinen, Mika, Kähönen, Olli T, Raitakari, Graham L, Hall, Peter D, Sly, Craig E, Pennell, Jaakko, Kaprio, Terho, Lehtimäki, Veronique, Vitart, Ian J, Deary, Debbie, Jarvis, James F, Wilson, Tim, Spector, Nicole, Probst-Hensch, Nicholas J, Wareham, Henry, Völzke, John, Henderson, David P, Strachan, Ben M, Brumpton, Caroline, Hayward, Ian P, Hall, Martin D, Tobin, and Louise V, Wain
Subjects: genome-wide interaction study, HHIP, expression, sex, lung function, Articles, Research Article
Abstract: Background: 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. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P
Published: 2020

43. Polygenic Risk Scores in Chronic Obstructive Pulmonary Disease and Related Phenotypes

Author: Deborah A. Meyers, Ian P. Hall, Sina A. Gharib, Anna L. Guyatt, Louise V. Wain, Nick Shrine, M. Obeidat, Per Bakke, Catherine John, Michael J. McGeachie, Michael H. Cho, Matthew Moll, Nadia N. Hansel, Dawn L. DeMeo, Lies Lahousse, E.K. Silverman, Traci M. Bartz, John E. Hokanson, Xingnan Li, James D. Crapo, Eugene R. Bleecker, A.R. Do, Frank Dudbridge, G.G. Brusselle, George R. Washko, David A. Lynch, Ruth Tal-Singer, Kathleen C. Barnes, Sungho Won, Amund Gulsvik, Brian D. Hobbs, Ani Manichaikul, Scott T. Weiss, Phuwanat Sakornsakolpat, Sara R.A. Wijnant, W.J. Kim, Martin D. Tobin, R.G. Barr, Stephen S. Rich, and Bruce M. Psaty
Subjects: business.industry, Medicine, Pulmonary disease, Polygenic risk score, business, Bioinformatics, Phenotype
Published: 2020

44. Phenotypic and functional translation of IL1RL1 locus polymorphisms in lung tissue and asthmatic airway epithelium

Author: Charlotte K. Billington, Gerard H. Koppelman, Liam G Heaney, Adel H. Mansur, Jenny Hankinson, Martijn C. Nawijn, Corry-Anke Brandsma, Sangita Bhaker, Andrew M. Fogarty, Dominick E. Shaw, Michael A. Portelli, Cornelis J. Vermeulen, Judith M. Vonk, Nick Shrine, Amanda P. Henry, Ian Sayers, Yohan Bossé, Maria Ketelaar, Martin D. Tobin, Peter H. Howarth, David C. Nickle, Néomi S. Grotenboer, Ma'en Obeidat, Gabrielle A. Lockett, John W. Holloway, Christopher E. Brightling, Alen Faiz, Rekha Chaudhuri, Tricia M. McKeever, Simon R. Johnson, Paul de Vos, Dirkje S. Postma, Zara Pogson, Neil C. Thomson, Sharon Brouwer, Maarten van den Berge, Angela Simpson, Amisha Singapuri, Robert Niven, F. Nicole Dijk, Ian P. Hall, Louise V. Wain, John D Blakey, Groningen Research Institute for Asthma and COPD (GRIAC), Translational Immunology Groningen (TRIGR), and Man, Biomaterials and Microbes (MBM)
Subjects: HAY-FEVER, EXPRESSION, 0301 basic medicine, medicine.medical_specialty, Genotype, IL1RL1, Single-nucleotide polymorphism, Genome-wide association study, Locus (genetics), Respiratory Mucosa, VARIANTS, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Molecular genetics, Genetics, medicine, Humans, Genetic Predisposition to Disease, Genetic variation, GENOME-WIDE ASSOCIATION, Lung, Asthma, LARGE-SCALE, Haplotype, Cell Biology, General Medicine, ST2, medicine.disease, Interleukin-1 Receptor-Like 1 Protein, Phenotype, respiratory tract diseases, GENETIC RISK-FACTORS, DIFFERENTIATION, 030104 developmental biology, 030220 oncology & carcinogenesis, Immunology, IL-33, INTERLEUKIN-1 RECEPTOR, Research Article
Abstract: The IL1RL1 (ST2) gene locus is robustly associated with asthma; however, the contribution of single nucleotide polymorphisms (SNPs) in this locus to specific asthma subtypes and the functional mechanisms underlying these associations remain to be defined. We tested for association between IL1RL1 region SNPs and characteristics of asthma as defined by clinical and immunological measures and addressed functional effects of these genetic variants in lung tissue and airway epithelium. Utilizing 4 independent cohorts (Lifelines, Dutch Asthma GWAS [DAG], Genetics of Asthma Severity and Phenotypes [GASP], and Manchester Asthma and Allergy Study [MAAS]) and resequencing data, we identified 3 key signals associated with asthma features. Investigations in lung tissue and primary bronchial epithelial cells identified context-dependent relationships between the signals and IL1RL1 mRNA and soluble protein expression. This was also observed for asthma-associated IL1RL1 nonsynonymous coding TIR domain SNPs. Bronchial epithelial cell cultures from asthma patients, exposed to exacerbation-relevant stimulations, revealed modulatory effects for all 4 signals on IL1RL1 mRNA and/ or protein expression, suggesting SNP-environment interactions. The IL1RL1 TIR signaling domain haplotype affected IL-33-driven NF-κB signaling, while not interfering with TLR signaling. In summary, we identify that IL1RL1 genetic signals potentially contribute to severe and eosinophilic phenotypes in asthma, as well as provide initial mechanistic insight, including genetic regulation of IL1RL1 isoform expression and receptor signaling.
Published: 2020

45. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants

Author: Namrata Gupta, Peter Durda, Elizabeth C. Oelsner, Martha L. Daviglus, Martin D. Tobin, James G. Wilson, Liana K. Preudhomme, Laura R. Loehr, Ingo Ruczinski, Pallavi Balte, Ramachandran S. Vasan, R. Graham Barr, Phuwanat Sakornsakolpat, Stephanie J. London, Robert M. Reed, Elaine Cornell, Josée Dupuis, Dandi Qiao, Dmitry Prokopenko, Russell P. Tracy, Alanna C. Morrison, Robert C. Kaplan, Cathy C. Laurie, Sina A. Gharib, Donna M. Muzny, Kent D. Taylor, Cecelia A. Laurie, Wonji Kim, Stephen S. Rich, Brian E. Cade, Kristin M. Burkart, Tamar Sofer, George T. O'Connor, Chiara Batini, Louise V. Wain, Leslie A. Lange, Ani Manichaikul, Susan Redline, Yanlin Ma, Bruce M. Psaty, Xutong Zhao, Yongmei Liu, Chaojie Yang, Edwin K. Silverman, David J. Vandenberg, Deborah A. Nickerson, George J. Papanicolaou, Bing Yu, L. Adrienne Cupples, Kathleen C. Barnes, François Aguet, Silva Kasela, Stacey Gabriel, Kristin G. Ardlie, Xiuqing Guo, Gonçalo R. Abecasis, Shannon Dugan-Perez, Harshavardhan Doddapaneni, Jerome I. Rotter, Ginger A. Metcalf, W. Craig Johnson, Michelle Daya, Nick Shrine, Sarah A Gagliano Taliun, Traci M. Bartz, Jiwon Lee, Deepti Jain, Tuuli Lappalainen, and Michael H. Cho
Subjects: 0301 basic medicine, Male, TOPMed Lung Working Group, General Physics and Astronomy, Genome-wide association study, Genome-wide association studies, Pulmonary function testing, Pulmonary Disease, Chronic Obstructive, 0302 clinical medicine, Polymorphism (computer science), 80 and over, 2.1 Biological and endogenous factors, DNA sequencing, Aetiology, lcsh:Science, Lung, Genetics, African Americans, Aged, 80 and over, COPD, education.field_of_study, Multidisciplinary, Chronic obstructive pulmonary disease, Intracellular Signaling Peptides and Proteins, Single Nucleotide, Middle Aged, Biobank, Protein Inhibitors of Activated STAT, 030220 oncology & carcinogenesis, Respiratory, Respiratory Physiological Phenomena, Small Ubiquitin-Related Modifier Proteins, Female, Biotechnology, Adult, Chronic Obstructive, Chronic Obstructive Pulmonary Disease, Science, Population, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, and over, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, Pulmonary Disease, 03 medical and health sciences, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, medicine, Humans, Genetic Predisposition to Disease, Polymorphism, education, Aged, Whole genome sequencing, Whole Genome Sequencing, Human Genome, Calcium-Binding Proteins, General Chemistry, Precision medicine, medicine.disease, respiratory tract diseases, Black or African American, 030104 developmental biology, Good Health and Well Being, Genetic Loci, Feasibility Studies, lcsh:Q, 2.4 Surveillance and distribution, Follow-Up Studies, Genome-Wide Association Study
Abstract: 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. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry., Chronic obstructive pulmonary disease is a leading cause of morbidity and mortality. Here, the authors analyse whole genome sequence data and find new loci associated with lung function and COPD.
Published: 2020

46. Interaction of Cigarette Smoking and Polygenic Risk Score on Reduced Lung Function

Author: Woori Kim, Matthew Moll, Dandi Qiao, Brian D. Hobbs, Nick Shrine, Phuwanat Sakornsakolpat, Martin D. Tobin, Frank Dudbridge, Louise V. Wain, Christine Ladd-Acosta, Nilanjan Chatterjee, Edwin K. Silverman, Michael H. Cho, and Terri H. Beaty
Subjects: Adult, Male, Research, Smoking, Vital Capacity, General Medicine, Middle Aged, Risk Assessment, Cigarette Smoking, Online Only, Pulmonary Disease, Chronic Obstructive, Cross-Sectional Studies, Risk Factors, Spirometry, Clinical Decision Rules, Forced Expiratory Volume, Pulmonary Medicine, Linear Models, Humans, Female, Genetic Predisposition to Disease, Lung, Original Investigation, Aged
Abstract: This cohort study assesses the interaction of cigarette smoking and polygenic risk score in association with reduced lung function among participants in the UK Biobank cohort., Key Points Question Does cigarette smoking interact with genetic risk on the percent of forced vital capacity exhaled in the first second (FEV1/FVC)? Findings In this UK Biobank cohort study of 319 730 UK citizens, FEV1/FVC was associated with polygenic risk score-by-smoking interactions, and smoking was detrimental across all categories of estimated genetic risk, although it was worse for those with the highest estimated genetic risks. For every reported 20 pack-years of smoking, individuals in the top decile compared with the bottom decile of genetic risk showed nearly twice the reduction in FEV1/FVC. Meaning These findings suggest that elucidating mechanisms for the interaction between smoking and genetic risk could yield greater insight into the chronic obstructive pulmonary disease pathogenesis., 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. Data was analyzed from July 2020 to March 2021. Exposures PRS of combined forced expiratory volume in 1 second (FEV1) and percent of forced vital capacity exhaled in the first second (FEV1/FVC), self-reported pack-years of smoking, ever- vs never-smoking status, and current- vs former- or never-smoking status. Main Outcomes and Measures FEV1/FVC was the primary outcome. Models were used to test for interactions with models, including the main effects of PRS, different smoking variables, and their cross-product terms. The association between pack-years of smoking and FEV1/FVC were compared for those in the highest vs lowest decile of estimated genetic risk for low lung function. Results We included 319 730 individuals, of whom 24 915 (8%) had moderate-to-severe COPD cases, and 44.4% were men. Participants had a mean (SD) age 56.5 of (8.02) years. The PRS and pack-years were significantly associated with lower FEV1/FVC (PRS: β, −0.03; 95% CI, −0.031 to −0.03; pack-years: β, −0.0064; 95% CI, −0.0064 to −0.0063) and the interaction term (β, −0.0028; 95% CI, −0.0029 to −0.0026). A stepwise increment in estimated effect sizes for these interaction terms was observed per 10 pack-years of smoking exposure. The interaction of PRS with 11 to 20, 31 to 40, and more than 50 pack-years categories were β (interaction) −0.0038 (95% CI, −0.0046 to −0.0031); −0.013 (95% CI, −0.014 to −0.012); and −0.017 (95% CI, −0.019 to −0.016), respectively. There was evidence of significant interaction between PRS with ever- or never- smoking status (β, interaction; −0.0064; 95% CI, −0.0068 to −0.0060) and current or not-current smoking (β, interaction; −0.0091; 95% CI, −0.0097 to −0.0084). For any given level of pack-years of smoking exposure, FEV1/FVC was significantly lower for individuals in the tenth decile (ie, highest risk) than the first decile (ie, lowest risk) of genetic risk. For every 20 pack-years of smoking, those in the tenth decile compared with the first decile of genetic risk showed nearly a 2-fold reduction in FEV1/FVC. Conclusions and Relevance COPD is characterized by diminished lung function, and our analyses suggest there is substantial interaction between genome-wide PRS and smoking exposures. While smoking was associated with decreased lung function across all genetic risk categories, the associations were strongest in individuals with higher estimated genetic risk.
Published: 2021

47. Genome-wide association study of susceptibility to hospitalised respiratory infections

Author: Hardeep Naghra-van Gijzel, Marylyn D. Ritchie, Jennifer K Quint, Ruth J. F. Loos, Nick Shrine, Astrid Yeo, Yuan Luo, David J. Porteous, Traci M. Bartz, Ian P. Hall, Edith M. Hessel, Jiangyuan Liu, David Michalovich, Su H. Chu, Martin D. Tobin, Eric B. Larson, Sina A. Gharib, Eeva Sliz, Alexander T. Williams, Erik Abner, Louise V. Wain, Ben Michael Brumpton, Bahram Namjou, Yuki Bradford, Marjo-Riitta Järvelin, Nicola F. Reeve, Laurent F. Thomas, Richard Packer, Archie Campbell, David R. Crosslin, Joanna Betts, Tõnu Esko, Ian B. Stanaway, Arden Moscati, Juha Auvinen, Gail P. Jarvik, James F. Wilson, Hana Müllerová, Kristian Hveem, Caroline Hayward, Bjørn Olav Åsvold, Scott J. Hebbring, Sarah H. Landis, QiPing Feng, Catherine John, and Michael H. Cho
Subjects: Genetics, Mechanism (biology), Genetic heterogeneity, Expression quantitative trait loci, Medicine (miscellaneous), Respiratory infection, Genome-wide association study, Respiratory system, Biology, Gene, Biobank, General Biochemistry, Genetics and Molecular Biology
Abstract: Background: Globally, respiratory infections contribute to significant morbidity and mortality. However, genetic determinants of respiratory infections are understudied and remain poorly understood. Methods: We conducted a genome-wide association study in 19,459 hospitalised respiratory infection cases and 101,438 controls from UK Biobank. We followed-up well-imputed top signals from the UK Biobank discovery analysis in 50,912 respiratory infection cases and 150,442 controls from 11 cohorts. We aggregated effect estimates across studies using inverse variance-weighted meta-analyses. Additionally, we investigated the function of the top signals in order to gain understanding of the underlying biological mechanisms. Results: In the discovery analysis, we report 56 signals at P×10-6, one of which was genome-wide significant (P×10-8). The genome-wide significant signal was in an intron of PBX3, a gene that encodes pre-B-cell leukaemia transcription factor 3, a homeodomain-containing transcription factor. Further, the genome-wide significant signal was found to colocalise with gene-specific expression quantitative trait loci (eQTLs) affecting expression of PBX3 in lung tissue, where the respiratory infection risk alleles were associated with decreased PBX3 expression in lung tissue, highlighting a possible biological mechanism. Of the 56 signals, 40 were well-imputed in UK Biobank and were investigated in the 11 follow-up cohorts. None of the 40 signals replicated, with effect estimates attenuated. Conclusions: Our discovery analysis implicated PBX3 as a candidate causal gene and suggests a possible role of transcription factor binding activity in respiratory infection susceptibility. However, the PBX3 signal, and the other well-imputed signals, did not replicate when aggregating effect estimates across 11 independent cohorts. Significant phenotypic heterogeneity and differences in study ascertainment may have contributed to this lack of statistical replication. Overall, our study highlighted putative associations and possible biological mechanisms that may provide insight into respiratory infection susceptibility.
Published: 2021

48. Age at menarche and lung function: a Mendelian randomization study

Author: Ian P. Hall, Deborah Jarvis, Marjo-Riitta Järvelin, Nuala A. Sheehan, John Henderson, Nick Shrine, Louise V. Wain, Cosetta Minelli, Susan M. Ring, Raquel Granell, John R. Thompson, Juha Auvinen, Andre F.S. Amaral, Francisco Gómez Real, Bénédicte Leynaert, Martin D. Tobin, Dipender Gill, Matthias Wielscher, and Commission of the European Communities
Subjects: 0301 basic medicine, Vital capacity, Pediatrics, Epidemiology, Vital Capacity, Respiratory Epidemiology, DISEASE, Pulmonary function testing, Random Allocation, 0302 clinical medicine, Forced Expiratory Volume, Sexual Maturation, 030212 general & internal medicine, FEV1/FVC, Lung, Public, Environmental & Occupational Health, ASSOCIATIONS, Confounding, Mendelian Randomization Analysis, MULTIPLE GENETIC-VARIANTS, Respiratory Function Tests, 3. Good health, ENVIRONMENT INTERACTION, Menopause, 1117 Public Health And Health Services, Menarche, Female, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, Adolescent, Polymorphism, Single Nucleotide, 03 medical and health sciences, FEV1/FVC ratio, Predictive Value of Tests, UK BIOBANK, Mendelian randomization, medicine, Humans, GENDER-DIFFERENCES, Science & Technology, business.industry, Puberty, Genetic Variation, medicine.disease, FVC, Lung function, Airway Obstruction, 030104 developmental biology, RISK-FACTORS, ASTHMA, RESPIRATORY-HEALTH, business, Demography
Abstract: A trend towards earlier menarche in women has been associated with childhood factors (e.g. obesity) and hypothesised environmental exposures (e.g. endocrine disruptors present in household products). Observational evidence has shown detrimental effects of early menarche on various health outcomes including adult lung function, but these might represent spurious associations due to confounding. To address this we used Mendelian randomization where genetic variants are used as proxies for age at menarche, since genetic associations are not affected by classical confounding. We estimated the effects of age at menarche on forced vital capacity (FVC), a proxy for restrictive lung impairment, and ratio of forced expiratory volume in one second to FVC (FEV1/FVC), a measure of airway obstruction, in both adulthood and adolescence. We derived SNP-age at menarche association estimates for 122 variants from a published genome-wide meta-analysis (N = 182,416), with SNP-lung function estimates obtained by meta-analysing three studies of adult women (N = 46,944) and two of adolescent girls (N = 3025). We investigated the impact of departures from the assumption of no pleiotropy through sensitivity analyses. In adult women, in line with previous evidence, we found an effect on restrictive lung impairment with a 24.8 mL increase in FVC per year increase in age at menarche (95% CI 1.8–47.9; p = 0.035); evidence was stronger after excluding potential pleiotropic variants (43.6 mL; 17.2–69.9; p = 0.001). In adolescent girls we found an opposite effect (−56.5 mL; −108.3 to −4.7; p = 0.033), suggesting that the detrimental effect in adulthood may be preceded by a short-term post-pubertal benefit. Our secondary analyses showing results in the same direction in men and boys, in whom age at menarche SNPs have also shown association with sexual development, suggest a role for pubertal timing in general rather than menarche specifically. We found no effect on airway obstruction (FEV1/FVC). Electronic supplementary material The online version of this article (doi:10.1007/s10654-017-0272-9) contains supplementary material, which is available to authorized users.
Published: 2017

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

Author: Ruth Tal-Singer, Dandi Qiao, David A. Lomas, David A. Schwartz, Robert P. Chase, Amund Gulsvik, Maxime Lamontagne, Judith M. Vonk, George T. O'Connor, Matthijs Oudkerk, Iwona Hawryłkiewicz, Per Bakke, Harry J. de Koning, Eugene R. Bleecker, Terri H. Beaty, Mi Kyeong Lee, Peter D. Paré, Nora Franceschini, Lies Lahousse, Deborah A. Meyers, Nicholas Locantore, María Soler Artigas, Xin-Qun Wang, Wim Timens, James D. Crapo, Victoria E. Jackson, Jemma B. Wilk, Jørgen Vestbo, Megan Hardin, Pawel Sliwinski, Stephen I. Rennard, Prescott G. Woodruff, Dirkje S. Postma, Peter J. Castaldi, Jae-Joon Yim, Stephen S. Rich, Guy Brusselle, Elizabeth J. Ampleford, Nick Shrine, R. Graham Barr, Harry J.M. Groen, André G. Uitterlinden, Shuguang Leng, Deog Kyeom Kim, Yohan Bossé, Steven A. Belinsky, William MacNee, Bruce M. Psaty, Stephanie J. London, Augusto A. Litonjua, Brian D. Hobbs, Traci M. Bartz, David P. Strachan, Martin D. Tobin, Woo Jin Kim, Ani Manichaikul, Ian P. Hall, Tasha E. Fingerlin, Kim de Jong, Sina A. Gharib, Louise V. Wain, John E. Hokanson, Josée Dupuis, Yohannes Tesfaigzi, Bruno H. Stricker, Edwin K. Silverman, Yeon-Mok Oh, Kari E. North, Susan R. Heckbert, Jan Willem J. Lammers, Annah B. Wyss, Jeanne C. Latourelle, David Sparrow, Michael H. Cho, Pieter Zanen, H. Marike Boezen, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Research Institute for Asthma and COPD (GRIAC), Life Course Epidemiology (LCE), Psychiatry, Public Health, Epidemiology, Pulmonary Medicine, and Internal Medicine
Subjects: Male, 0301 basic medicine, Pulmonary Fibrosis, Genome-wide association study, EMPHYSEMA, VARIANTS, SUSCEPTIBILITY, Genome-wide association studies, AIR-FLOW OBSTRUCTION, Pulmonary Disease, Chronic Obstructive, Risk Factors, Pulmonary fibrosis, Lung, Aged, 80 and over, Genetics, COPD, education.field_of_study, I INTERFERON, Smoking, Middle Aged, Phenotype, medicine.anatomical_structure, Female, Adult, Population, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Journal Article, medicine, Humans, Genetic Predisposition to Disease, SMOKING-BEHAVIOR, Allele, GENOME-WIDE ASSOCIATION, education, Alleles, Aged, Genetic association, Asthma, Respiratory tract diseases, COMPLEX TRAITS, medicine.disease, SURFACTANT PROTEIN-D, respiratory tract diseases, 030104 developmental biology, Genetic Loci, Immunology, Genome-Wide Association Study
Abstract: Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide(1). We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P
Published: 2017

50. Genetic variants affecting cross-sectional lung function in adults show little or no effect on longitudinal lung function decline

Author: María Soler Artigas, Peter D. Paré, Martin D. Tobin, Scott A. Jelinsky, Nicholas M. Rafaels, Nadia N. Hansel, Sune F. Nielsen, Kathleen C. Barnes, Jennie Hui, Arthur W. Musk, Børge G. Nordestgaard, John Beilby, Anders Mälarstig, Alan James, Catherine John, Signe Vedel-Krogh, Ian P. Hall, Louise V. Wain, Iain Kilty, and Nick Shrine
Subjects: Adult, Male, 0301 basic medicine, Pulmonary and Respiratory Medicine, Spirometry, Time Factors, Genotype, Cross-sectional study, Genome-wide association study, Risk Assessment, Pulmonary function testing, Pulmonary Disease, Chronic Obstructive, 03 medical and health sciences, FEV1/FVC ratio, Risk Factors, Journal Article, medicine, Humans, Genetic Predisposition to Disease, Longitudinal Studies, Genetic association, COPD, medicine.diagnostic_test, business.industry, Respiration, Genetic Variation, Western Australia, Middle Aged, respiratory system, medicine.disease, Respiratory Function Tests, respiratory tract diseases, Cross-Sectional Studies, 030104 developmental biology, Cohort, Immunology, Disease Progression, Female, business, Genome-Wide Association Study, Demography
Abstract: BACKGROUND: Genome-wide association studies have identified numerous genetic regions that influence cross-sectional lung function. Longitudinal decline in lung function also includes a heritable component but the genetic determinants have yet to be defined.OBJECTIVES: We aimed to determine whether regions associated with cross-sectional lung function were also associated with longitudinal decline and to seek novel variants which influence decline.METHODS: We analysed genome-wide data from 4167 individuals from the Busselton Health Study cohort, who had undergone spirometry (12 695 observations across eight time points). A mixed model was fitted and weighted risk scores were calculated for the joint effect of 26 known regions on baseline and longitudinal changes in FEV1 and FEV1/FVC. Potential additional regions of interest were identified and followed up in two independent cohorts.RESULTS: The 26 regions previously associated with cross-sectional lung function jointly showed a strong effect on baseline lung function (p=4.44×10-16 for FEV1/FVC) but no effect on longitudinal decline (p=0.160 for FEV1/FVC). This was replicated in an independent cohort. 39 additional regions of interest (48 variants) were identified; these associations were not replicated in two further cohorts.CONCLUSIONS: Previously identified genetic variants jointly have a strong effect on cross-sectional lung function in adults but little or no effect on the rate of decline of lung function. It is possible that they influence COPD risk through lung development. Although no genetic variants have yet been associated with lung function decline at stringent genome-wide significance, longitudinal change in lung function is heritable suggesting that there is scope for future discoveries.
Published: 2017

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