Abstract
Open-angle glaucoma (OAG) is a major cause of blindness worldwide. To identify new risk loci for OAG, we performed a genome-wide association study in 3,071 OAG cases and 6,750 unscreened controls, and meta-analysed the results with GWAS data for intraocular pressure (IOP) and optic disc parameters (the overall meta-analysis sample size varying between 32,000 to 48,000 participants), which are glaucoma-related traits. We identified and independently validated four novel genome-wide significant associations within or near MYOF and CYP26A1, LINC02052 and CRYGS, LMX1B, and LMO7 using single variant tests, one additional locus (C9) using gene-based tests, and two genetic pathways-"response to fluid shear stress" and "abnormal retina morphology"-in pathway-based tests. Interestingly, some of the new risk loci contribute to risk of other genetically-correlated eye diseases including myopia and age-related macular degeneration. To our knowledge, this study is the first integrative study to combine genetic data from OAG and its correlated traits to identify new risk variants and genetic pathways, highlighting the future potential of combining genetic data from genetically-correlated eye traits for the purpose of gene discovery and mapping.
Original language | English (US) |
---|---|
Article number | 3124 |
Journal | Scientific reports |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - Dec 1 2018 |
ASJC Scopus subject areas
- General
Access to Document
Other files and links
Fingerprint
Dive into the research topics of 'Analysis combining correlated glaucoma traits identifies five new risk loci for open-angle glaucoma'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
In: Scientific reports, Vol. 8, No. 1, 3124, 01.12.2018.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Analysis combining correlated glaucoma traits identifies five new risk loci for open-angle glaucoma
AU - Gharahkhani, Puya
AU - Burdon, Kathryn P.
AU - Cooke Bailey, Jessica N.
AU - Hewitt, Alex W.
AU - Law, Matthew H.
AU - Pasquale, Louis R.
AU - Kang, Jae H.
AU - Haines, Jonathan L.
AU - Souzeau, Emmanuelle
AU - Zhou, Tiger
AU - Siggs, Owen M.
AU - Landers, John
AU - Awadalla, Mona
AU - Sharma, Shiwani
AU - Mills, Richard A.
AU - Ridge, Bronwyn
AU - Lynn, David
AU - Casson, Robert
AU - Graham, Stuart L.
AU - Goldberg, Ivan
AU - White, Andrew
AU - Healey, Paul R.
AU - Grigg, John
AU - Lawlor, Mitchell
AU - Mitchell, Paul
AU - Ruddle, Jonathan
AU - Coote, Michael
AU - Walland, Mark
AU - Best, Stephen
AU - Vincent, Andrea
AU - Gale, Jesse
AU - Radfordsmith, Graham
AU - Whiteman, David C.
AU - Montgomery, Grant W.
AU - Martin, Nicholas G.
AU - MacKey, David A.
AU - Wiggs, Janey L.
AU - MacGregor, Stuart
AU - Craig, Jamie E.
AU - Allingham, R. Rand
AU - Brilliant, Murray
AU - Budenz, Donald L.
AU - Fingert, John H.
AU - Gaasterland, Douglas
AU - Gaasterland, Teresa
AU - Hark, Lisa
AU - Hauser, Michael
AU - Igo, Robert P.
AU - Kraft, Peter
AU - Lee, Richard K.
AU - Lichter, Paul R.
AU - Liu, Yutao
AU - Moroi, Syoko
AU - Pericak-Vance, Margaret
AU - Realini, Anthony
AU - Rhee, Doug
AU - Richards, Julia E.
AU - Ritch, Robert
AU - Schuman, Joel S.
AU - Scott, William K.
AU - Singh, Kuldev
AU - Sit, Arthur J.
AU - Vollrath, Douglas
AU - Wollstein, Gadi
AU - Zack, Donald J.
N1 - Funding Information: ANZRAG: Support for recruitment of ANZRAG was provided by the Royal Australian and New Zealand College of Ophthalmology (RANZCO) Eye Foundation. Genotyping was funded by the National Health and Medical Research Council of Australia (#535074 and #1023911). This work was also supported by funding from NHMRC #1031362 awarded to J.E.C., NHMRC #1037838 awarded to A.W.H., NHMRC #1048037 awarded to S.L.G., NHMRC #1009844 awarded to R.J.C. and I.G., NHMRC #1031920 and Alcon Research Institute grant awarded to D.A.M., Allergan Unrestricted grant awarded to A.J.W., and the BrightFocus Foundation and a Ramaciotti Establishment Grant. The authors acknowledge the support of Ms Bronwyn Usher-Ridge in patient recruitment and data collection, and Dr Patrick Danoy and Dr Johanna Hadler for genotyping. Controls for the ANZRAG cohort were drawn from the Australian Cancer Study, the Study of Digestive Health, a study of inflammatory bowel diseases, a study of endometriosis, and QIMR Berghofer twin study. The Australian Cancer Study was supported by the Queensland Cancer Fund and the National Health and Medical Research Council (NHMRC) of Australia (Program no. 199600, awarded to David C. Whiteman, Adele C. Green, Nicholas K. Hayward, Peter G. Parsons, David M. Purdie, and Penelope M. Webb; and program no. 552429 awarded to David C. Whiteman). The Study of Digestive Health was supported by grant number 5 R01 CA 001833 from the US National Cancer Institute (awarded to David C. Whiteman). The Barrett’s and Esophageal Adenocarcinoma Genetic Susceptibility Study (BEAGESS) sponsored the genotyping of oesophageal cancer and Barrett’s oesophagus cases, which were used as unscreened controls in the ANZRAG cohort. BEAGESS was funded by grant R01 CA136725 from the US National Cancer Institute. Genotyping for part of the Australian twin control samples included in the ANZRAG cohort was funded by an NHMRC Medical Genomics Grant. Genotyping for the remainder of twin controls was performed by the National Institutes of Health (NIH) Center for Inherited Research (CIDR) as part of an NIH/National Eye Institute (NEI) grant 1RO1EY018246, and we are grateful to Dr Camilla Day and staff. We acknowledge with appreciation all women who participated in the QIMR Berghofer endometriosis study. We thank Endometriosis Associations for supporting study recruitment. We thank Sullivan Nicolaides and Queensland Medical Laboratory for pro bono collection and delivery of blood samples and other pathology services for assistance with blood collection. The QIMR twin and endometriosis studies were supported by grants from the National Health and Medical Research Council (NHMRC) of Australia (241944, 339462, 389927,389875, 389891, 389892, 389938, 443036, 442915, 442981, 496610, 496739, 552485, 552498, 1049472 and 1050208), the Cooperative Research Centre for Discovery of Genes for Common Human Diseases (CRC), Cerylid Biosciences (Melbourne), and donations from Neville and Shirley Hawkins. We thank Matthew A. Brown, Margaret J. Wright, Megan J. Campbell, Anthony Caracella, Scott Gordon, Dale R Nyholt, Anjali K Henders, B. Haddon, D. Smyth, H. Beeby, O. Zheng, B. Chapman for their input into project management, databases, sample processing, and genotyping. We are grateful to the many research assistants and interviewers for assistance with the studies contributing to the QIMR Berghofer twin collection. NEIGHBORHOOD: The NEIGHBORHOOD data collection and analysis is supported by NIH/NEI R01EY022305 (JL Wiggs) and NIH/NEI P30 EY014104 (JL Wiggs). Support for collection of cases, controls and analysis for individual datasets is as follows. Genotyping services for the NEIGHBOR study were provided by the Center for Inherited Disease Research (CIDR) and were supported by the National Eye Institute through grant HG005259-01 (JL Wiggs). Genotyping for the MEEI dataset and some NHS and HPFS cases (GLAUGEN) was completed at the Broad Institute and supported by GENEVA project grant HG004728 (LR Pasquale) and U01-HG004424 (Broad Institute). Genotype data cleaning and analysis for the GLAUGEN study was supported by U01HG004446 (C Laurie). Collecting and processing samples for the NEIGHBOR dataset was supported by the National Eye Institute through ARRA grants 3R01EY015872-05S1 (JL Wiggs) and 3R01EY019126-02S1 (MA Hauser). Funding for the collection of NEIGHBOR cases and controls was provided by NIH grants: EY015543 (RR Allingham), EY006827 (D Gaasterland); HL73042, HL073389, EY13315 (MA Hauser); CA87969, CA49449, UM1 CA186107, UM1 CA167552, EY009149 (PR Lichter), HG004608 (C McCarty), EY008208 (FA Medeiros), EY015473 (LR Pasquale), EY012118 (M Pericak-Vance), EY015682 (A Realini), EY011671 (JE Richards), EY09580 (JE Richards), EY013178 (JS Schuman), RR015574, EY015872 (JL Wiggs), EY010886 (JL Wiggs), EY009847 (JL Wiggs), EY011008,EY144428 (K Zhang), EY144448 (K Zhang), EY18660 (K Zhang). The collection of Marshfield clinic cases and controls was supported by 1U02HG004608-01, 5U01HG006389-02 and NCATS/NIH grant UL1TR000427. In addition some NHS/HPFS cases and controls and analysis of GWAS data was supported by R01 CA131332. The WGHS is supported by HL043851 and HL080467 from the National Heart, Lung, and Blood Institute and CA047988 from the National Cancer Institute, the Donald W. Reynolds Foundation and the Fondation Leducq, with collaborative scientific support and funding for genotyping provided by Amgen. POAG case identification in WGHS was supported by 3R01 EY15473-5S1 (LR Pasquale). JL Wiggs and LR Pasquale are supported by the Harvard Glaucoma Center for Excellence and an unrestricted grant from Research to Prevent Blindness. Dr. Pasquale is also supported by a Harvard Medical School Distinguished Scholar award. Publisher Copyright: © 2018 The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Open-angle glaucoma (OAG) is a major cause of blindness worldwide. To identify new risk loci for OAG, we performed a genome-wide association study in 3,071 OAG cases and 6,750 unscreened controls, and meta-analysed the results with GWAS data for intraocular pressure (IOP) and optic disc parameters (the overall meta-analysis sample size varying between 32,000 to 48,000 participants), which are glaucoma-related traits. We identified and independently validated four novel genome-wide significant associations within or near MYOF and CYP26A1, LINC02052 and CRYGS, LMX1B, and LMO7 using single variant tests, one additional locus (C9) using gene-based tests, and two genetic pathways-"response to fluid shear stress" and "abnormal retina morphology"-in pathway-based tests. Interestingly, some of the new risk loci contribute to risk of other genetically-correlated eye diseases including myopia and age-related macular degeneration. To our knowledge, this study is the first integrative study to combine genetic data from OAG and its correlated traits to identify new risk variants and genetic pathways, highlighting the future potential of combining genetic data from genetically-correlated eye traits for the purpose of gene discovery and mapping.
AB - Open-angle glaucoma (OAG) is a major cause of blindness worldwide. To identify new risk loci for OAG, we performed a genome-wide association study in 3,071 OAG cases and 6,750 unscreened controls, and meta-analysed the results with GWAS data for intraocular pressure (IOP) and optic disc parameters (the overall meta-analysis sample size varying between 32,000 to 48,000 participants), which are glaucoma-related traits. We identified and independently validated four novel genome-wide significant associations within or near MYOF and CYP26A1, LINC02052 and CRYGS, LMX1B, and LMO7 using single variant tests, one additional locus (C9) using gene-based tests, and two genetic pathways-"response to fluid shear stress" and "abnormal retina morphology"-in pathway-based tests. Interestingly, some of the new risk loci contribute to risk of other genetically-correlated eye diseases including myopia and age-related macular degeneration. To our knowledge, this study is the first integrative study to combine genetic data from OAG and its correlated traits to identify new risk variants and genetic pathways, highlighting the future potential of combining genetic data from genetically-correlated eye traits for the purpose of gene discovery and mapping.
UR - http://www.scopus.com/inward/record.url?scp=85042218563&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042218563&partnerID=8YFLogxK
U2 - 10.1038/s41598-018-20435-9
DO - 10.1038/s41598-018-20435-9
M3 - Article
C2 - 29449654
AN - SCOPUS:85042218563
SN - 2045-2322
VL - 8
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 3124
ER -