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Record W2990031257 · doi:10.1038/s42003-019-0634-9

Multi-trait genome-wide association study identifies new loci associated with optic disc parameters

2019· review· en· W2990031257 on OpenAlexaff
Pieter W. M. Bonnemaijer, Adriana I. Iglesias, Puya Gharahkhani, Véronique Vitart, Anthony P. Khawaja, Mark Simcoe, René Höhn, Angela J. Cree, Rob P. Igo, Kathryn P. Burdon, Jamie E. Craig, Alex W. Hewitt, Jost B. Jonas, Chiea-Cheun Khor, Francesca Pasutto, David A. Mackey, Paul Mitchell, Aniket Mishra, Calvin Chi Pui Pang, Louis R. Pasquale, Henriette Springelkamp, Guðmar Þorleifsson, Unnur Þorsteinsdóttir, Ananth C. Viswanathan, Robert Wojciechowski, Tien Yin Wong, Terrri L Young, Tanja Zeller, Rand Allingham, Donald L. Budenz, Jessica N. Cooke Bailey, John H. Fingert, Douglas Gaasterland, Teresa Gaasterland, Jonathan L. Haines, Lisa Hark, Michael A. Hauser, Jae H. Kang, Peter Kraft, Richard Lee, Paul R. Lichter, Yutao Liu, Sayoko E. Moroi, Margaret Pericak, Anthony Realini, Doug Rhee, Julia R. Richards, Robert Ritch, William K. Scott, Kuldev Singh, Arthur J. Sit, Douglas Vollrath, Robert N. Weinreb, Gadi Wollstein, Don Zack Wilmer, Denize Atan, Tariq Aslam, Sarah Barman, Peter Blows, Catey Bunce, Roxana O. Carare, Usha Chakravarthy, Michelle Chan, Sharon Chua, David P. Crabb, Philippa M. Cumberland, Alexander Day, Parul Desai, Bal Dhillon, Andrew D. Dick, Cathy Egan, Sarah Ennis, Paul J. Foster, Marcus Fruttiger, John Gallacher, David F. Garway, Jane Whitney Gibson, Dan Gore, Jeremy A. Guggenheim, Alison J. Hardcastle, Simon Harding, Ruth Hogg, Pearse A. Keane, Peng T. Khaw, Gerassimos Lascaratos, Tom MacGillivray, Sarah Mackie, Keith R. Martin, Michelle McGaughey, Bernadette McGuinness, Gareth J. McKay, Martin McKibbin, Danny Mitry, Tony Moore, Zaynah Muthy, Eoin O’Sullivan, Christopher G. Owen, Praveen J. Patel, Euan Paterson, Tünde Pető, Axel Petzold, Jugnoo S. Rahi, Alicja R. Rudnikca, Jay Self, Sobha Sivaprasad, David Steel, Irene Stratton, Nicholas G. Strouthidis, Cathie Sudlow, Dhanes Thomas, Emanuele Trucco, Adnan Tufail, S A Vernon, Cathy Williams, Katie Williams, Jayne V. Woodside, Max Yates, Jennifer Yip, Yalin Zheng, Aslihan Gerhold‐Ay, Stefan Nickels, James F. Wilson, Caroline Hayward, Thibaud Boutin, Ozren Polašek, Tin Aung, Chiea Chuen Khor, Najaf Amin, Andrew Lotery, Janey L. Wiggs, Ching‐Yu Cheng, Pirro G. Hysi, Christopher J. Hammond, Alberta A. H. J. Thiadens, Stuart MacGregor, Caroline C. W. Klaver, Cornelia M. van Duijn

Bibliographic record

VenueCommunications Biology · 2019
Typereview
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsCentre for Global Health Research
FundersNational Human Genome Research InstituteVersus ArthritisMedical Research CouncilEngineering and Physical Sciences Research CouncilNational Institute for Health and Care ResearchCancer Research UKNational Eye InstituteWellcome Trust
KeywordsGenome-wide association studyBiologyQuantitative trait locusGlaucomaTraitGenetic associationGeneticsGenomeEvolutionary biologySingle-nucleotide polymorphismGenotypeGeneComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

Abstract A new avenue of mining published genome-wide association studies includes the joint analysis of related traits. The power of this approach depends on the genetic correlation of traits, which reflects the number of pleiotropic loci, i.e. genetic loci influencing multiple traits. Here, we applied new meta-analyses of optic nerve head (ONH) related traits implicated in primary open-angle glaucoma (POAG); intraocular pressure and central corneal thickness using Haplotype reference consortium imputations. We performed a multi-trait analysis of ONH parameters cup area, disc area and vertical cup-disc ratio. We uncover new variants; rs11158547 in PPP1R36-PLEKHG3 and rs1028727 near SERPINE3 at genome-wide significance that replicate in independent Asian cohorts imputed to 1000 Genomes. At this point, validation of these variants in POAG cohorts is hampered by the high degree of heterogeneity. Our results show that multi-trait analysis is a valid approach to identify novel pleiotropic variants for ONH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.102
GPT teacher head0.373
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations60
Published2019
Admission routes1
Has abstractyes

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