Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.
Daniel TaliunDaniel N HarrisMichael D KesslerJedidiah CarlsonZachary A SzpiechRaul TorresSarah A Gagliano TaliunAndré CorveloStephanie M GogartenHyun Min KangAchilleas N PitsillidesJonathon LeFaiveSeung-Been LeeXiaowen TianBrian L BrowningSayantan DasAnne-Katrin EmdeWayne E ClarkeDouglas P LoeschAmol Carl ShettyThomas W BlackwellAlbert Vernon SmithQuenna WongXiaoming LiuMatthew P ConomosDean M BoboFrançois AguetChristine AlbertAlvaro AlonsoKristin G ArdlieDan E ArkingStella AslibekyanPaul L AuerJohn BarnardR Graham BarrLucas BarwickLewis C BeckerRebecca L BeerEmelia J BenjaminLawrence F BielakJohn BlangeroMichael BoehnkeDonald W BowdenJennifer A BrodyEsteban G BurchardBrian E CadeJames F CasellaBrandon ChalazanDaniel I ChasmanYii-Der Ida ChenMichael H ChoSeung Hoan ChoiMina K ChungClary B ClishAdolfo CorreaJoanne E CurranBrian CusterDawood DarbarMichelle DayaMariza de AndradeDawn L DeMeoSusan K DutcherPatrick T EllinorLeslie S EmeryCeleste EngDiane FatkinTasha FingerlinLukas ForerMyriam FornageNora FranceschiniChristian FuchsbergerStephanie M FullertonSoren GermerMark T GladwinDaniel J GottliebXiuqing GuoMichael E HallJiang HeNancy L Heard-CostaSusan R HeckbertMarguerite R IrvinJill M JohnsenAndrew D JohnsonRobert KaplanSharon L R KardiaTanika KellyShannon KellyEimear E KennyDouglas P KielRobert KlemmerBarbara A KonkleCharles KooperbergAnna KöttgenLeslie A LangeJessica Lasky-SuDaniel LevyXihong LinKeng-Han LinChunyu LiuRuth J F LoosLori GarmanRobert GersztenSteven A LubitzKathryn L LunettaAngel C Y MakAni ManichaikulAlisa K ManningRasika A MathiasDavid D McManusStephen T McGarveyJames B MeigsDeborah A MeyersJulie L MikullaMollie A MinearBraxton D MitchellSanghamitra MohantyMay E MontasserCourtney MontgomeryAlanna C MorrisonJoanne M MurabitoAndrea NatalePradeep NatarajanSarah C NelsonKari E NorthJeffrey R O'ConnellNicholette D PalmerNathan PankratzGina M PelosoPatricia A PeyserJacob PleinessWendy S PostBruce M PsatyD C RaoSusan RedlineAlexander P ReinerDan RodenJerome I RotterIngo RuczinskiChloé SarnowskiSebastian SchoenherrDavid A SchwartzJeong-Sun SeoSudha SeshadriVivien A SheehanWayne H SheuM Benjamin ShoemakerNicholas L SmithJennifer A SmithNona SotoodehniaAdrienne M StilpWeihong TangKent D TaylorMarilyn TelenTimothy A ThorntonRussell P TracyDavid J Van Den BergRamachandran S VasanKarine A Viaud-MartinezScott VriezeDaniel E WeeksBruce S WeirScott T WeissLu-Chen WengCristen J WillerYingze ZhangXutong ZhaoDonna K ArnettAllison E Ashley-KochKathleen C BarnesEric BoerwinkleStacey GabrielRichard GibbsKenneth M RiceStephen S RichEdwin K SilvermanPankaj QasbaWeiniu Gannull nullGeorge J PapanicolaouDeborah A NickersonSharon R BrowningMichael C ZodySebastian ZöllnerJames G WilsonL Adrienne CupplesCathy C LaurieCashell E JaquishRyan D HernandezTimothy D O'ConnorGonçalo R AbecasisPublished in: Nature (2021)
The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.