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      Genome-wide association analyses identify 139 loci associated with macular thickness in the UK Biobank cohort

      1 , 1 , 1
      Human Molecular Genetics
      Oxford University Press (OUP)

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          Abstract

          The macula, located near the center of the retina in the human eye, is responsible for providing critical functions, such as central, sharp vision. Structural changes in the macula are associated with many ocular diseases, including age-related macular degeneration (AMD) and glaucoma. Although macular thickness is a highly heritable trait, there are no prior reported genome-wide association studies (GWASs) of it. Here we describe the first GWAS of macular thickness, which was measured by spectral-domain optical coherence tomography using 68 423 participants from the UK Biobank cohort. We identified 139 genetic loci associated with macular thickness at genome-wide significance ( P  < 5 × 10 −8 ). The most significant loci were LINC00461 ( P  = 5.1 × 10 −120 ), TSPAN10 ( P  = 1.2 × 10 −118 ), RDH5 ( P  = 9.2 × 10 −105 ) and SLC6A20 ( P  = 1.4 × 10 −71 ). Results from gene expression demonstrated that these genes are highly expressed in the retina. Other hits included many previously reported AMD genes, such as NPLOC4 ( P  = 1.7 × 10 −103 ), RAD51B ( P  = 9.1 × 10 −14 ) and SLC16A8 ( P  = 1.7 × 10 −8 ), further providing functional significance of the identified loci. Through cross-phenotype analysis, these genetic loci also exhibited pleiotropic effects with myopia, neurodegenerative diseases (e.g. Parkinson’s disease, schizophrenia and Alzheimer’s disease), cancer (e.g. breast, ovarian and lung cancers) and metabolic traits (e.g. body mass index, waist circumference and type 2 diabetes). Our findings provide the first insight into the genetic architecture of macular thickness and may further elucidate the pathogenesis of related ocular diseases, such as AMD.

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          Most cited references31

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          UK biobank data: come and get it.

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            Genome-wide genetic data on ~500,000 UK Biobank participants

            The UK Biobank project is a large prospective cohort study of ~500,000 individuals from across the United Kingdom, aged between 40-69 at recruitment. A rich variety of phenotypic and health-related information is available on each participant, making the resource unprecedented in its size and scope. Here we describe the genome-wide genotype data (~805,000 markers) collected on all individuals in the cohort and its quality control procedures. Genotype data on this scale offers novel opportunities for assessing quality issues, although the wide range of ancestries of the individuals in the cohort also creates particular challenges. We also conducted a set of analyses that reveal properties of the genetic data (such as population structure and relatedness) that can be important for downstream analyses. In addition, we phased and imputed genotypes into the dataset, using computationally efficient methods combined with the Haplotype Reference Consortium (HRC) and UK10K haplotype resource. This increases the number of testable variants by over 100-fold to ~96 million variants. We also imputed classical allelic variation at 11 human leukocyte antigen (HLA) genes, and as a quality control check of this imputation, we replicate signals of known associations between HLA alleles and many common diseases. We describe tools that allow efficient genome-wide association studies (GWAS) of multiple traits and fast phenome-wide association studies (PheWAS), which work together with a new compressed file format that has been used to distribute the dataset. As a further check of the genotyped and imputed datasets, we performed a test-case genome-wide association scan on a well-studied human trait, standing height.
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              Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma

              Glaucoma is the leading cause of irreversible blindness globally.1 Despite its gravity, the disease is frequently undiagnosed in the community.2 Raised intraocular pressure (IOP) is the most important risk factor for primary open-angle glaucoma (POAG).3,4 Here we present a meta-analysis of 139,555 European participants that identified 112 genomic loci associated with IOP, 68 of which are novel. These loci suggest a strong role for angiopoietin-receptor tyrosine kinase signaling, lipid metabolism, mitochondrial function and developmental processes underlying risk for elevated IOP. In addition, 48 of these loci were associated with glaucoma in an independent cohort, 14 of which at a Bonferroni-corrected threshold. Regression-based glaucoma prediction models had an area under Receiving Operator Characteristic curve (AUROC) of 0.76 in USA NEIGHBORHOOD study participants and 0.74 in independent glaucoma cases from UK Biobank. Genetic prediction models for POAG offer an opportunity to target screening and timely therapy to individuals most at risk.
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                Author and article information

                Journal
                Human Molecular Genetics
                Oxford University Press (OUP)
                0964-6906
                1460-2083
                April 01 2019
                April 01 2019
                December 07 2018
                April 01 2019
                April 01 2019
                December 07 2018
                : 28
                : 7
                : 1162-1172
                Affiliations
                [1 ]Departments of Ophthalmology and Visual Science and Biomedical Informatics, Division of Human Genetics, The Ohio State University, Columbus, OH, USA
                Article
                10.1093/hmg/ddy422
                6423416
                30535121
                985ac0d5-4ef0-419b-8ce2-9249d83079d8
                © 2018

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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