Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program.
Daniel DiCorpoSheila M GaynorEmily M RussellKenneth E WestermanLaura M RaffieldTimothy D MajarianPeitao WuChloe SarnowskiHeather M HighlandAnne JacksonNatalie R HasbaniPaul S de VriesJennifer A BrodyBertha HidalgoXiuqing GuoJames A PerryJeffrey R O'ConnellSamantha LentMay E MontasserBrian E CadeDeepti JainHeming WangRicardo D'Oliveira AlbanusArushi VarshneyLisa R YanekLeslie LangeNicholette D D AllredMarcio AlmeidaJuan M PeraltaStella AslibekyanAbigail S BaldridgeAlain G BertoniLawrence F BielakChung-Shiuan ChenYii-Der Ida ChenWon Jung ChoiMark O GoodarziJames S FloydMarguerite R IrvinRita R KalyaniTanika N KellySeonwook LeeChing-Ti LiuDouglas LoeschJoAnn E MansonRyan L MinsterTake NaseriJames S PankowLaura J Rasmussen-TorvikAlexander P ReinerMuagututi'a Sefuiva ReupenaElizabeth SelvinJennifer A SmithDaniel E WeeksHuichun XuJie YaoWei ZhaoStephen ParkerAlvaro AlonsoDonna K ArnettJohn E BlangeroEric BoerwinkleAdolfo CorreaL Adrienne CupplesJoanne E CurranRavindranath DuggiralaJiang HeSusan R HeckbertSharon L R KardiaRyan W KimCharles KooperbergSimin LiuRasika A MathiasStephen T McGarveyBraxton D MitchellAlanna C MorrisonPatricia A PeyserBruce M PsatySusan RedlineAlan R ShuldinerKent D TaylorRamachandran S VasanKarine A Viaud-MartinezJose C FlorezJames G WilsonRobert SladekStephen S RichJerome I RotterXihong LinJosée DupuisJames B MeigsJennifer WesselAlisa K ManningPublished in: Communications biology (2022)
The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI's Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits.
Keyphrases
- blood glucose
- glycemic control
- type diabetes
- copy number
- genome wide
- insulin resistance
- single cell
- dna methylation
- rna seq
- quality improvement
- weight loss
- cardiovascular disease
- gene expression
- blood pressure
- single molecule
- adipose tissue
- skeletal muscle
- wound healing
- health insurance
- affordable care act
- high density