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  5. WilliamsAT_prePMID_HRI.tsv.gz

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WilliamsAT_prePMID_HRI.tsv.gz

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DOI: 10.6084/m9.figshare.16622062figshare.com/articles/dataset/WilliamsAT_…

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Paul M Ridker
Paul M Ridker

Harvard University

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Alexander Williams
Nick Shrine
Hardeep Naghra-van Gijzel
+44 more

Abstract

These summary statistics were derived from a genome-wide association study of hospitalised respiratory infections in UK Biobank. The file includes data for 52,488,101 unique genetic variants and contains the following columns: variant_id, chromosome, base_pair_location (GRCh37), effect_allele, other_allele, effect_allele_frequency, beta (log-odds ratio), standard_error, p_value. This study used anonymised data from UK Biobank, a cohort of 500,000 volunteer participants aged between 40 and 69 years recruited from across the United Kingdom (UK) between 2006 and 2010. This research was conducted under approved UK Biobank data applications 648 and 4892. Individuals included in our analysis if (1) they had genome-wide imputed genetic data; (2) they had complete information for age (at recruitment), sex and smoking status (at recruitment); (3) they had no 2<sup>nd</sup> degree or closer relative (defined by a kinship estimate &gt;0.0884 from the KING software, provided by UK Biobank), and (4) they were of European ancestry based on <i>k­</i>-means clustering of the first two principal components of ancestry. Overall, we included 19,459 hospitalised respiratory infection cases and 101,438 healthy controls in our study. Genotyping was undertaken using the Affymetrix Axiom UK BiLEVE and UK Biobank arrays. Genotype imputation was conducted using the Haplotype Reference Consortium (HRC) panel and the merged 1000 Genomes phase 3 and UK10K panels. Imputed genotypes with a minor allele count &gt;20 and an imputation quality score &gt;0.5 were tested for association with hospitalised respiratory infections. PLINK 2.0 (https://www.cog-genomics.org/plink/2.0/) was used to conduct the genome-wide association study. We assessed autosomal variant associations under an additive genetic model adjusted for age (at recruitment), age<sup>2</sup>, genotyping array, sex, smoking status and the first ten principal components of ancestry. We analysed variant dosages in order to account for genotype uncertainty. Further details and results are described in the manuscript: Genome-wide association study of susceptibility to hospitalised respiratory infections. Wellcome Open Research.

How to cite this publication

Alexander Williams, Nick Shrine, Hardeep Naghra-van Gijzel, Joanna Betts, Edith M. Hessel, Catherine John, Richard Packer, Nicola Reeve, Astrid Yeo, Erik Abner, Bjørn Olav Åsvold, Juha Auvinen, Traci M. Bartz, Yuki Bradford, Ben Brumpton, Archie Campbell, Michael Cho, Su H. Chu, David R. Crosslin, QiPing Feng, Tõnu Esko, Sina A. Gharib, Caroline Hayward, Scott J. Hebbring, Kristian Hveem, Paul M Ridker, Gail P. Jarvik, Sarah Landis, Eric B. Larson, Jiangyuan Liu, Ruth J. F. Loos, Yuan Luo, Arden Moscati, Hana Müllerová, Bahram Namjou, David J. Porteous, Jennifer K Quint, Regeneron Genomics Center, Marylyn D. Ritchie, Eeva Sliz, Ian B. Stanaway, Laurent F. Thomas, James Wilson, Ian P. Hall, Louise V. Wain, David Michalovich, Martin D. TobinWilliamsAT_prePMID_HRI.tsv.gz. , DOI: https://doi.org/10.6084/m9.figshare.16622062.

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DOI

https://doi.org/10.6084/m9.figshare.16622062

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