Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program

dc.contributor.authorSarnowski, Chloé
dc.contributor.authorLeong, Aaron
dc.contributor.authorRaffield, Laura M.
dc.contributor.authorWu, Peitao
dc.contributor.authorde Vries, Paul S.
dc.contributor.authorDiCorpo, Daniel
dc.contributor.authorGuo, Xiuqing
dc.contributor.authorXu, Huichun
dc.contributor.authorLiu, Yongmei
dc.contributor.authorZheng, Xiuwen
dc.contributor.authorHu, Yao
dc.contributor.authorBrody, Jennifer A.
dc.contributor.authorGoodarzi, Mark O.
dc.contributor.authorHidalgo, Bertha A.
dc.contributor.authorHighland, Heather M.
dc.contributor.authorJain, Deepti
dc.contributor.authorLiu, Ching-Ti
dc.contributor.authorNaik, Rakhi P.
dc.contributor.authorO’Connell, Jeffrey R.
dc.contributor.authorPerry, James A.
dc.contributor.authorPorneala, Bianca C.
dc.contributor.authorSelvin, Elizabeth
dc.contributor.authorWessel, Jennifer
dc.contributor.authorPsaty, Bruce M.
dc.contributor.authorCurran, Joanne E.
dc.contributor.authorPeralta, Juan M.
dc.contributor.authorBlangero, John
dc.contributor.authorKooperberg, Charles
dc.contributor.authorMathias, Rasika
dc.contributor.authorJohnson, Andrew D.
dc.contributor.authorReiner, Alexander P.
dc.contributor.authorMitchell, Braxton D.
dc.contributor.authorCupples, L. Adrienne
dc.contributor.authorVasan, Ramachandran S.
dc.contributor.authorCorrea, Adolfo
dc.contributor.authorMorrison, Alanna C.
dc.contributor.authorBoerwinkle, Eric
dc.contributor.authorRotter, Jerome I.
dc.contributor.authorRich, Stephen S.
dc.contributor.authorManning, Alisa K.
dc.contributor.authorDupuis, Josée
dc.contributor.authorMeigs, James B.
dc.contributor.authorTOPMed Diabetes Working Group
dc.contributor.authorTOPMed Hematology Working Group
dc.contributor.authorTOPMed Hemostasis Working Group
dc.contributor.authorNational Heart, Lung, and Blood Institute TOPMed Consortium
dc.contributor.departmentEpidemiology, School of Public Healthen_US
dc.date.accessioned2020-06-09T17:29:24Z
dc.date.available2020-06-09T17:29:24Z
dc.date.issued2019-09-26
dc.description.abstractHemoglobin A1c (HbA1c) is widely used to diagnose diabetes and assess glycemic control in individuals with diabetes. However, nonglycemic determinants, including genetic variation, may influence how accurately HbA1c reflects underlying glycemia. Analyzing the NHLBI Trans-Omics for Precision Medicine (TOPMed) sequence data in 10,338 individuals from five studies and four ancestries (6,158 Europeans, 3,123 African-Americans, 650 Hispanics, and 407 East Asians), we confirmed five regions associated with HbA1c (GCK in Europeans and African-Americans, HK1 in Europeans and Hispanics, FN3K and/or FN3KRP in Europeans, and G6PD in African-Americans and Hispanics) and we identified an African-ancestry-specific low-frequency variant (rs1039215 in HBG2 and HBE1, minor allele frequency (MAF) = 0.03). The most associated G6PD variant (rs1050828-T, p.Val98Met, MAF = 12% in African-Americans, MAF = 2% in Hispanics) lowered HbA1c (−0.88% in hemizygous males, −0.34% in heterozygous females) and explained 23% of HbA1c variance in African-Americans and 4% in Hispanics. Additionally, we identified a rare distinct G6PD coding variant (rs76723693, p.Leu353Pro, MAF = 0.5%; −0.98% in hemizygous males, −0.46% in heterozygous females) and detected significant association with HbA1c when aggregating rare missense variants in G6PD. We observed similar magnitude and direction of effects for rs1039215 (HBG2) and rs76723693 (G6PD) in the two largest TOPMed African American cohorts, and we replicated the rs76723693 association in the UK Biobank African-ancestry participants. These variants in G6PD and HBG2 were monomorphic in the European and Asian samples. African or Hispanic ancestry individuals carrying G6PD variants may be underdiagnosed for diabetes when screened with HbA1c. Thus, assessment of these variants should be considered for incorporation into precision medicine approaches for diabetes diagnosis.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationSarnowski, C., Leong, A., Raffield, L. M., Wu, P., de Vries, P. S., DiCorpo, D., Guo, X., Xu, H., Liu, Y., Zheng, X., Hu, Y., Brody, J. A., Goodarzi, M. O., Hidalgo, B. A., Highland, H. M., Jain, D., Liu, C. T., Naik, R. P., O'Connell, J. R., Perry, J. A., … National Heart, Lung, and Blood Institute TOPMed Consortium (2019). Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program. American journal of human genetics, 105(4), 706–718. https://doi.org/10.1016/j.ajhg.2019.08.010en_US
dc.identifier.urihttps://hdl.handle.net/1805/22920
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.ajhg.2019.08.010en_US
dc.relation.journalAmerican Journal of Human Geneticsen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectHemoglobin A1cen_US
dc.subjectWhole-genome sequence association analysesen_US
dc.subjectThe Trans-Omics for Precision Medicine (TOPMed) programen_US
dc.subjectMulti-ancestry sampleen_US
dc.titleImpact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Programen_US
dc.typeArticleen_US
ul.alternative.fulltexthttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817529/en_US
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