Back to Search Start Over

A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration

Authors :
Rosie Clark
Samantha Sze-Yee Lee
Ran Du
Yining Wang
Sander C.M. Kneepkens
Jason Charng
Yu Huang
Michael L. Hunter
Chen Jiang
J.Willem L. Tideman
Ronald B. Melles
Caroline C.W. Klaver
David A. Mackey
Cathy Williams
Hélène Choquet
Kyoko Ohno-Matsui
Jeremy A. Guggenheim
Joan E. Bailey-Wilson
Paul N. Baird
Veluchamy A. Barathi
Ginevra Biino
Kathryn P. Burdon
Harry Campbell
Li Jia Chen
Ching-Yu Cheng
Emily Y. Chew
Jamie E. Craig
Margaret M. Deangelis
Cécile Delcourt
Xiaohu Ding
Qiao Fan
Maurizio Fossarello
Paul J. Foster
Puya Gharahkhani
Xiaobo Guo
Annechien E.G. Haarman
Toomas Haller
Christopher J. Hammond
Xikun Han
Caroline Hayward
Mingguang He
Alex W. Hewitt
Quan Hoang
Pirro G. Hysi
Adriana I. Iglesias
Robert P. Igo
Sudha K. Iyengar
Jost B. Jonas
Mika Kähönen
Jaakko Kaprio
Anthony P. Khawaja
Barbara E. Klein
Jonathan H. Lass
Kris Lee
Terho Lehtimäki
Deyana Lewis
Qing Li
Shi-Ming Li
Leo-Pekka Lyytikäinen
Stuart MacGregor
Nicholas G. Martin
Akira Meguro
Andres Metspalu
Candace Middlebrooks
Masahiro Miyake
Nobuhisa Mizuki
Anthony Musolf
Stefan Nickels
Konrad Oexle
Chi Pui Pang
Olavi Pärssinen
Andrew D. Paterson
Norbert Pfeiffer
Ozren Polasek
Jugnoo S. Rahi
Olli Raitakari
Igor Rudan
Srujana Sahebjada
Seang-Mei Saw
Claire L. Simpson
Dwight Stambolian
E-Shyong Tai
Milly S. Tedja
J. Willem L. Tideman
Akitaka Tsujikawa
Cornelia M. van Duijn
Virginie J.M. Verhoeven
Veronique Vitart
Ningli Wang
Ya Xing Wang
Juho Wedenoja
Wen Bin Wei
Katie M. Williams
James F. Wilson
Robert Wojciechowski
Jason C.S. Yam
Kenji Yamashiro
Maurice K.H. Yap
Seyhan Yazar
Shea Ping Yip
Terri L. Young
Xiangtian Zhou
Naomi Allen
Tariq Aslam
Denize Atan
Sarah Barman
Jenny Barrett
Paul Bishop
Graeme Black
Catey Bunce
Roxana Carare
Usha Chakravarthy
Michelle Chan
Sharon Chua
Valentina Cipriani
Alexander Day
Parul Desai
Bal Dhillon
Andrew Dick
Alexander Doney
Cathy Egan
Sarah Ennis
Paul Foster
Marcus Fruttiger
John Gallacher
David Garway-Heath
Jane Gibson
Dan Gore
Jeremy Guggenheim
Chris Hammond
Alison Hardcastle
Simon Harding
Ruth Hogg
Pirro Hysi
Pearse A. Keane
Peng Tee Khaw
Anthony Khawaja
Gerassimos Lascaratos
Thomas Littlejohns
Andrew Lotery
Phil Luthert
Tom MacGillivray
Sarah Mackie
Bernadette McGuinness
Gareth McKay
Martin McKibbin
Danny Mitry
Tony Moore
James Morgan
Zaynah Muthy
Eoin O'Sullivan
Chris Owen
Praveen Patel
Euan Paterson
Tunde Peto
Axel Petzold
Nikolas Pontikos
Jugnoo Rahi
Alicja Rudnicka
Jay Self
Panagiotis Sergouniotis
Sobha Sivaprasad
David Steel
Irene Stratton
Nicholas Strouthidis
Cathie Sudlow
Robyn Tapp
Caroline Thaung
Dhanes Thomas
Emanuele Trucco
Adnan Tufail
Stephen Vernon
Ananth Viswanathan
Katie Williams
Jayne Woodside
Max Yates
Jennifer Yip
Yalin Zheng
Neurology
Ophthalmology
APH - Mental Health
APH - Methodology
Amsterdam Neuroscience - Neuroinfection & -inflammation
Epidemiology
Clinical Genetics
Erasmus MC other
Source :
Ebiomedicine, 91, EBioMedicine, 91:104551. Elsevier BV, EBioMedicine, 91:104551. Elsevier, CREAM Consortium & UK Biobank Eye and Vision Consortium 2023, ' A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration ', EBioMedicine, vol. 91, 104551 . https://doi.org/10.1016/j.ebiom.2023.104551
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Contains fulltext : 292919.pdf (Publisher’s version ) (Open Access) BACKGROUND: High myopia (HM), defined as a spherical equivalent refractive error (SER) ≤ -6.00 diopters (D), is a leading cause of sight impairment, through myopic macular degeneration (MMD). We aimed to derive an improved polygenic score (PGS) for predicting children at risk of HM and to test if a PGS is predictive of MMD after accounting for SER. METHODS: The PGS was derived from genome-wide association studies in participants of UK Biobank, CREAM Consortium, and Genetic Epidemiology Research on Adult Health and Aging. MMD severity was quantified by a deep learning algorithm. Prediction of HM was quantified as the area under the receiver operating curve (AUROC). Prediction of severe MMD was assessed by logistic regression. FINDINGS: In independent samples of European, African, South Asian and East Asian ancestry, the PGS explained 19% (95% confidence interval 17-21%), 2% (1-3%), 8% (7-10%) and 6% (3-9%) of the variation in SER, respectively. The AUROC for HM in these samples was 0.78 (0.75-0.81), 0.58 (0.53-0.64), 0.71 (0.69-0.74) and 0.67 (0.62-0.72), respectively. The PGS was not associated with the risk of MMD after accounting for SER: OR = 1.07 (0.92-1.24). INTERPRETATION: Performance of the PGS approached the level required for clinical utility in Europeans but not in other ancestries. A PGS for refractive error was not predictive of MMD risk once SER was accounted for. FUNDING: Supported by the Welsh Government and Fight for Sight (24WG201).

Details

Language :
English
ISSN :
23523964
Volume :
91
Database :
OpenAIRE
Journal :
eBioMedicine
Accession number :
edsair.doi.dedup.....9fd21d2859c5d7aa472ef1a88a960a34