Whole-Genome Sequencing Association Analyses of Stroke and Its Subtypes in Ancestrally Diverse Populations From Trans-Omics for Precision Medicine Project.
Yao HuJeffrey W HaesslerRegina ManansalaKerri L WigginsArden MoscatiAlexa BeiserNancy Heard- CostaChloe SarnowskiLaura M RaffieldJaeyoon ChungSandro MariniChristopher D AndersonJonathan RosandHuichun XuXiao SunTanika N KellyQuenna WongLeslie A LangeJerome I RotterAdolfo CorreaRamachandran S VasanSudha SeshadriStephen S RichRon DoRuth J F LoosWilliam T LongstrethJoshua C BisBruce M PsatyDavid L TirschwellThemistocles L AssimesBrian SilverSimin LiuRebecca JacksonSylvia Wassertheil-SmollerBraxton D MitchellMyriam FornagePaul L AuerAlexander P ReinerCharles KooperbergPublished in: Stroke (2021)
We represent the first association analysis for stroke and its subtypes using whole-genome sequencing data from ancestrally diverse populations. While our findings suggest the potential benefits of combining whole-genome sequencing data with populations of diverse genetic backgrounds to identify possible low-frequency or ancestry-specific variants, they also highlight the need to increase genome coverage and sample sizes.