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Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.
Document Type
article
Author
Eleanor WheelerAaron LeongChing-Ti LiuMarie-France HivertRona J StrawbridgeClara PodmoreMan LiJie YaoXueling SimJaeyoung HongAudrey Y ChuWeihua ZhangXu WangPeng ChenNisa M MaruthurBianca C PornealaStephen J SharpYucheng JiaEdmond K KabagambeLi-Ching ChangWei-Min ChenCathy E ElksDaniel S EvansQiao FanFranco GiulianiniMin Jin GoJouke-Jan HottengaYao HuAnne U JacksonStavroula KanoniYoung Jin KimMarcus E KleberClaes LadenvallCecile LecoeurSing-Hui LimYingchang LuAnubha MahajanCarola MarziMike A NallsPau NavarroIlja M NolteLynda M RoseDenis V RybinSerena SannaYuan ShiDaniel O StramFumihiko TakeuchiShu Pei TanPeter J van der MostJana V Van Vliet-OstaptchoukAndrew WongLoic YengoWanting ZhaoAnuj GoelMaria Teresa Martinez LarradDörte RadkePerttu SaloToshiko TanakaErik P A van IperenGoncalo AbecasisSaima AfaqBehrooz Z AlizadehAlain G BertoniAmelie BonnefondYvonne BöttcherErwin P BottingerHarry CampbellOlga D CarlsonChien-Hsiun ChenYoon Shin ChoW Timothy GarveyChristian GiegerMark O GoodarziHarald GrallertAnders HamstenCatharina A HartmanChristian HerderChao Agnes HsiungJie HuangMichiya IgaseMasato IsonoTomohiro KatsuyaChiea-Chuen KhorWieland KiessKatsuhiko KoharaPeter KovacsJuyoung LeeWen-Jane LeeBenjamin LehneHuaixing LiJianjun LiuStephane LobbensJian'an LuanValeriya LyssenkoThomas MeitingerTetsuro MikiIva MiljkovicSanghoon MoonAntonella MulasGabriele MüllerMartina Müller-NurasyidRamaiah NagarajaMatthias NauckJames S PankowOzren PolasekInga ProkopenkoPaula S RamosLaura Rasmussen-TorvikWolfgang RathmannStephen S RichNeil R RobertsonMichael RodenRonan RousselIgor RudanRobert A ScottWilliam R ScottBengt SennbladDavid S SiscovickKonstantin StrauchLiang SunMorris SwertzSalman M TajuddinKent D TaylorYik-Ying TeoYih Chung ThamAnke TönjesNicholas J WarehamGonneke WillemsenTom WilsgaardAroon D HingoraniEPIC-CVD ConsortiumEPIC-InterAct ConsortiumLifelines Cohort StudyJosephine EganLuigi FerrucciG Kees HovinghAntti JulaMika KivimakiMeena KumariInger NjølstadColin N A PalmerManuel Serrano RíosMichael StumvollHugh WatkinsTin AungMatthias BlüherMichael BoehnkeDorret I BoomsmaStefan R BornsteinJohn C ChambersDaniel I ChasmanYii-Der Ida ChenYduan-Tsong ChenChing-Yu ChengFrancesco CuccaEco J C de GeusPanos DeloukasMichele K EvansMyriam FornageYechiel FriedlanderPhilippe FroguelLeif GroopMyron D GrossTamara B HarrisCaroline HaywardChew-Kiat HengErik IngelssonNorihiro KatoBong-Jo KimWoon-Puay KohJaspal S KoonerAntje KörnerDiana KuhJohanna KuusistoMarkku LaaksoXu LinYongmei LiuRuth J F LoosPatrik K E MagnussonWinfried MärzMark I McCarthyAlbertine J OldehinkelKen K OngNancy L PedersenMark A PereiraAnnette PetersPaul M RidkerCharumathi SabanayagamMichele SaleDanish SaleheenJuha SaltevoPeter Eh SchwarzWayne H H SheuHarold SniederTimothy D SpectorYasuharu TabaraJaakko TuomilehtoRob M van DamJames G WilsonJames F WilsonBruce H R WolffenbuttelTien Yin WongJer-Yuarn WuJian-Min YuanAlan B ZondermanNicole SoranzoXiuqing GuoDavid J RobertsJose C FlorezRobert SladekJosée DupuisAndrew P MorrisE-Shyong TaiElizabeth SelvinJerome I RotterClaudia LangenbergInês BarrosoJames B Meigs
Source
PLoS Medicine, Vol 14, Iss 9, p e1002383 (2017)
Subject
Medicine
Language
English
ISSN
1549-1277
1549-1676
Abstract
BackgroundGlycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.Methods & findingsUsing genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.ConclusionsAs G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.