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Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People With Type 2 Diabetes.

Soo Heon KwakRyan B Hernandez-CancelaDaniel A DiCorpoDavid E CondonJordi MerinoPeitao WuJennifer A BrodyJie YaoXiuqing GuoAnke H Maitland-van der ZeeMariah MeyerMurat SincanJosep Maria MercaderSujin LeeJeffrey HaesslerHa My T VyZhaotong LinNicole D ArmstrongShaopeng GuNoah L TsaoLeslie A LangeNingyuan WangKerri L WigginsStella TrompetSimin LiuRuth J F LoosRenae JudyPhilip H SchroederNatalie R HasbaniMaxime M BosAlanna C MorrisonRebecca D JacksonAlexander P ReinerJoAnn E MansonNinad S ChaudharyLynn K CarmichaelYii-Der Ida ChenKent D TaylorMohsen GhanbariJoyce van MeursAchilleas N PitsillidesBruce M PsatyRaymond NoordamRon DoKyong-Soo ParkJ Wouter JukemaMaryam KavousiAdolfo CorreaStephen S RichScott M DamrauerCatherine HajekNam H ChoMarguerite Ryan IrvinJames S PankowGirish Nitin NadkarniRobert SladekMark O GoodarziJose C FlorezDaniel I ChasmanSusan R HeckbertCharles KooperbergJosée DupuisRajeev MalhotraPaul S de VriesChing-Ti LiuJerome I RotterJames B Meigsnull null
Published in: Diabetes care (2024)
The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.
Keyphrases
  • cardiovascular disease
  • genome wide association study
  • cardiovascular events
  • cardiovascular risk factors
  • type diabetes
  • electronic health record
  • copy number
  • machine learning