Recombinant haplotypes narrow the ARMS2/HTRA1 association signal for age-related macular degeneration

Age-related macular degeneration (AMD) is the leading cause of blindness in ageing societies, triggered by both environmental and genetic factors. The strongest genetic signal for AMD with odds ratios of up to 2.8 per adverse allele was found previously over a chromosomal region in 10q26 harboring two genes, ARMS2 and HTRA1, although with little knowledge as to which gene or genetic variation is functionally relevant to AMD pathology. In this study, we analyzed rare recombinant haplotypes in 16,144 AMD cases and 17,832 controls from the International AMD Genomics Consortium and identified variants in ARMS2 but not HTRA1 to exclusively carry the AMD risk with P-values between 10 × 10-773 and 6.7 × 10-5. This now allows prioritization of the gene of interest for subsequent functional studies.</p

Pleiotropic Locus 15q24.1 Reveals a Gender-Specific Association with Neovascular but Not Atrophic Age-Related Macular Degeneration (AMD)

Funding This research was funded by the Deutsche Forschungsgemeinschaft (GR5065/1-1) and institutional funds (Titel 77). Acknowledgments All contributing sites and additional funding information for the IAMDGC data are acknowledged in this publication: Fritsche et al. (2016) Nature Genetics 48 134–143, (doi:10.1038/ng.3448); The International AMD Genomics consortium’s web page is: http://eaglep.case.edu/iamdgc_web/, and additional information is available on: http://csg.sph.umich.edu/abecasis/public/amd2015/. GERA data came from a grant, the Resource for Genetic Epidemiology Research in Adult Health and Aging (RC2 AG033067; Schaefer and Risch, PIs) awarded to the Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH) and the UCSF Institute for Human Genetics. The RPGEH was supported by grants from the Robert Wood Johnson Foundation, the Wayne and Gladys Valley Foundation, the Ellison Medical Foundation, Kaiser Permanente Northern California, and the Kaiser Permanente National and Northern California Community Benefit Programs. The RPGEH and the Resource for Genetic Epidemiology Research in Adult Health and Aging are described in the following publication, Schaefer C, et al., The Kaiser Permanente Research Program on Genes, Environment and Health: Development of a Research Resource in a Multi-Ethnic Health Plan with Electronic Medical Records, In preparation, 2013. This research has been conducted using the UK Biobank Resource under Application Number 44862. The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health (commonfund.nih.gov/GTEx). Additional funds were provided by the NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS. Donors were enrolled at Biospecimen Source Sites funded by NCI\Leidos Biomedical Research, Inc. subcontracts to the National Disease Research Interchange (10XS170), Roswell Park Cancer Institute (10XS171), and Science Care, Inc. (X10S172). The Laboratory, Data Analysis, and Coordinating Center (LDACC) was funded through a contract (HHSN268201000029C) to The Broad Institute, Inc. Biorepository operations were funded through a Leidos Biomedical Research, Inc. subcontract to Van Andel Research Institute (10ST1035). Additional data repository and project management were provided by Leidos Biomedical Research, Inc. (HHSN261200800001E). The Brain Bank was supported supplements to University of Miami grant DA006227. Statistical Methods development grants were made to the University of Geneva (MH090941 & MH101814), the University of Chicago (MH090951, MH090937, MH101825, & MH101820), the University of North Carolina—Chapel Hill (MH090936), North Carolina State University (MH101819), Harvard University (MH090948), Stanford University (MH101782), Washington University (MH101810), and to the University of Pennsylvania (MH101822). The datasets used for the analyses described in this manuscript were obtained from dbGaP at http://www.ncbi.nlm.nih.gov/gap through dbGaP accession number phs000424.v8.p2.Peer reviewedPublisher PD

The agonistic TSPO ligand XBD173 attenuates the glial response thereby protecting inner retinal neurons in a murine model of retinal ischemia

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A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver

TS was an awardee of the Roche Internships for Scientific Exchange (RiSE) Programme. The work has been supported in part by institutional funds (TG77) of the Institute of Human Genetics Regensburg and by a grant from the Helmut Ecker Foundation (Ingolstadt, Germany) to BHFW (No. 05/17).Peer reviewedPublisher PD

A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography

Acknowledgments The authors thank the Age-Related Eye Disease Study participants and the Age-Related Eye Disease Study Research Group for their valuable contribution to this research, and all study participants for contributing to the Cooperative Health Research in the Region of Augsburg study.Peer reviewedPublisher PD

Evaluation of serum sphingolipids and the influence of genetic risk factors in age-related macular degeneration

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Multiallelic copy number variation in the complement component 4A (C4A) gene is associated with late-stage age-related macular degeneration (AMD)

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Features of age-related macular degeneration in the general adults and their dependency on age, sex, and smoking : Results from the German KORA study

Acknowledgments We thank all study participants for contributing to the KORA study.Peer reviewedPublisher PD

Recurrent structural variation, clustered sites of selection, and disease risk for the complement factor H (CFH) gene family

Data deposition: The data reported in this paper have been deposited as a National Center for Biotechnology Information BioProject (accession no. PRJNA401648). Author contributions: S.C. and E.E.E. designed research; S.C., C.B., L.H., K.P., K.M.M., M.S., A.E.W., V.D., T.A.G.-L., and R.K.W. performed research; S.C., J.H., C.B., L.H., K.P., K.M.M., M.S., A.E.W., V.D., F.G., A.J.R., R.H.G., T.A.G.-L., R.K.W., B.H.F.W., P.N.B., R.A., and E.E.E. contributed new reagents/analytic tools; S.C., B.J.N., J.H., and E.E.E. analyzed data; and S.C., B.J.N., and E.E.E. wrote the paper.Peer reviewedPublisher PD