ArticlemedRxiv : the preprint server for health sciences2024
Genetic association and machine learning improves discovery and prediction of type 1 diabetes.
Carolyn McGrail, Timothy J Sears, Parul Kudtarkar, Hannah Carter, Kyle Gaulton
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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What it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
5 authors.
Carolyn McGrailBiomedical sciences graduate program, University of California San Diego, La Jolla CA.
Timothy J SearsBioinformatics and Systems Biology Program, University of California San Diego, La Jolla CA.
Parul KudtarkarDepartment of Pediatrics, University of California San Diego, La Jolla CA.
Hannah CarterBioinformatics and Systems Biology Program, University of California San Diego, La Jolla CA.
Kyle GaultonDepartment of Pediatrics, University of California San Diego, La Jolla CA.
Funding
Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8MVANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7MFurthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3MJH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2MA Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4MLimited Competition for the Continuation of the SEARCH for Diabetes in Youth Cohort Study (UC4)SEARCH for Diabetes in Youth Cohort StudyUC4DK108173 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAGOSTINO, RALPH B. · 2015 to 2016
$14.8MNeurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7MMOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059571 · NIMH · UNIVERSITY OF CHICAGO · PI GEJMAN, PABLO V. · 1999 to 2007
$8.0MVanderbilt Genome-Electronic Records ProjectU01HG004603 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2007 to 2011
$7.3MSEARCH for Diabetes in Youth Coordinating CenterU01DP000250 · DP · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BELL, RONNY A · 2005 to 2009
$4.8MA Genome-Wide Association Study of SchizophreniaU01MH079469 · NIMH · NORTHSHORE UNIVERSITY HEALTHSYSTEM · PI GEJMAN, PABLO V. · 2007 to 2009
$4.4MNCCDPHP CDC HHS U01 DP000244NCCDPHP CDC HHS U01 DP000246NCCDPHP CDC HHS U01 DP000247NCCDPHP CDC HHS U01 DP000248NCCDPHP CDC HHS U01 DP000250NCCDPHP CDC HHS U01 DP000254NCCDPHP CDC HHS U18 DP002708NCCDPHP CDC HHS U18 DP002709NCCDPHP CDC HHS U18 DP002710NCCDPHP CDC HHS U18 DP002714NCCDPHP CDC HHS U18 DP006131NCCDPHP CDC HHS U18 DP006133NCCDPHP CDC HHS U18 DP006134NCCDPHP CDC HHS U18 DP006136NCCDPHP CDC HHS U18 DP006138NCCDPHP CDC HHS U18 DP006139NCRR NIH HHS UL1 RR024975NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004603NHGRI NIH HHS U01 HG004608NHGRI NIH HHS U01 HG004609NHGRI NIH HHS U01 HG004610NHLBI NIH HHS R01 HL075794NIAMS NIH HHS R01 AR057202NIA NIH HHS U01 AG006781NIDDK NIH HHS U01 DK062418NIDDK NIH HHS UC4 DK108173NIGMS NIH HHS T32 GM139790NIMH NIH HHS R01 MH059565NIMH NIH HHS R01 MH059566NIMH NIH HHS R01 MH059571NIMH NIH HHS R01 MH059586NIMH NIH HHS R01 MH059587NIMH NIH HHS R01 MH059588NIMH NIH HHS R01 MH060870NIMH NIH HHS R01 MH060879NIMH NIH HHS R01 MH061675NIMH NIH HHS R01 MH067257NIMH NIH HHS R01 MH081800NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983NIMH NIH HHS U01 MH046276NIMH NIH HHS U01 MH046318NIMH NIH HHS U01 MH079469NIMH NIH HHS U01 MH079470Wellcome Trust
6 · The paper itselfAbstract
Type 1 diabetes (T1D) has a large genetic component, and expanded genetic studies of T1D can lead to novel biological and therapeutic discovery and improved risk prediction. In this study, we performed genetic association and fine-mapping analyses in 817,718 European ancestry samples genome-wide and 29,746 samples at the MHC locus, which identified 165 independent risk signals for T1D of which 19 were novel. We used risk variants to train a machine learning model (named T1GRS) to predict T1D, which highly differentiated T1D from non-disease and type 2 diabetes (T2D) in Europeans as well as African Americans at or beyond the level of current standards. We identified extensive non-linear interactions between risk loci in T1GRS, for example between HLA-DQB1*57 and
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PMID39132494
PMCPMC11312647
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