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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.

Authors :
Eleanor Wheeler
Aaron Leong
Ching-Ti Liu
Marie-France Hivert
Rona J Strawbridge
Clara Podmore
Man Li
Jie Yao
Xueling Sim
Jaeyoung Hong
Audrey Y Chu
Weihua Zhang
Xu Wang
Peng Chen
Nisa M Maruthur
Bianca C Porneala
Stephen J Sharp
Yucheng Jia
Edmond K Kabagambe
Li-Ching Chang
Wei-Min Chen
Cathy E Elks
Daniel S Evans
Qiao Fan
Franco Giulianini
Min Jin Go
Jouke-Jan Hottenga
Yao Hu
Anne U Jackson
Stavroula Kanoni
Young Jin Kim
Marcus E Kleber
Claes Ladenvall
Cecile Lecoeur
Sing-Hui Lim
Yingchang Lu
Anubha Mahajan
Carola Marzi
Mike A Nalls
Pau Navarro
Ilja M Nolte
Lynda M Rose
Denis V Rybin
Serena Sanna
Yuan Shi
Daniel O Stram
Fumihiko Takeuchi
Shu Pei Tan
Peter J van der Most
Jana V Van Vliet-Ostaptchouk
Andrew Wong
Loic Yengo
Wanting Zhao
Anuj Goel
Maria Teresa Martinez Larrad
Dörte Radke
Perttu Salo
Toshiko Tanaka
Erik P A van Iperen
Goncalo Abecasis
Saima Afaq
Behrooz Z Alizadeh
Alain G Bertoni
Amelie Bonnefond
Yvonne Böttcher
Erwin P Bottinger
Harry Campbell
Olga D Carlson
Chien-Hsiun Chen
Yoon Shin Cho
W Timothy Garvey
Christian Gieger
Mark O Goodarzi
Harald Grallert
Anders Hamsten
Catharina A Hartman
Christian Herder
Chao Agnes Hsiung
Jie Huang
Michiya Igase
Masato Isono
Tomohiro Katsuya
Chiea-Chuen Khor
Wieland Kiess
Katsuhiko Kohara
Peter Kovacs
Juyoung Lee
Wen-Jane Lee
Benjamin Lehne
Huaixing Li
Jianjun Liu
Stephane Lobbens
Jian'an Luan
Valeriya Lyssenko
Thomas Meitinger
Tetsuro Miki
Iva Miljkovic
Sanghoon Moon
Antonella Mulas
Gabriele Müller
Martina Müller-Nurasyid
Ramaiah Nagaraja
Matthias Nauck
James S Pankow
Ozren Polasek
Inga Prokopenko
Paula S Ramos
Laura Rasmussen-Torvik
Wolfgang Rathmann
Stephen S Rich
Neil R Robertson
Michael Roden
Ronan Roussel
Igor Rudan
Robert A Scott
William R Scott
Bengt Sennblad
David S Siscovick
Konstantin Strauch
Liang Sun
Morris Swertz
Salman M Tajuddin
Kent D Taylor
Yik-Ying Teo
Yih Chung Tham
Anke Tönjes
Nicholas J Wareham
Gonneke Willemsen
Tom Wilsgaard
Aroon D Hingorani
EPIC-CVD Consortium
EPIC-InterAct Consortium
Lifelines Cohort Study
Josephine Egan
Luigi Ferrucci
G Kees Hovingh
Antti Jula
Mika Kivimaki
Meena Kumari
Inger Njølstad
Colin N A Palmer
Manuel Serrano Ríos
Michael Stumvoll
Hugh Watkins
Tin Aung
Matthias Blüher
Michael Boehnke
Dorret I Boomsma
Stefan R Bornstein
John C Chambers
Daniel I Chasman
Yii-Der Ida Chen
Yduan-Tsong Chen
Ching-Yu Cheng
Francesco Cucca
Eco J C de Geus
Panos Deloukas
Michele K Evans
Myriam Fornage
Yechiel Friedlander
Philippe Froguel
Leif Groop
Myron D Gross
Tamara B Harris
Caroline Hayward
Chew-Kiat Heng
Erik Ingelsson
Norihiro Kato
Bong-Jo Kim
Woon-Puay Koh
Jaspal S Kooner
Antje Körner
Diana Kuh
Johanna Kuusisto
Markku Laakso
Xu Lin
Yongmei Liu
Ruth J F Loos
Patrik K E Magnusson
Winfried März
Mark I McCarthy
Albertine J Oldehinkel
Ken K Ong
Nancy L Pedersen
Mark A Pereira
Annette Peters
Paul M Ridker
Charumathi Sabanayagam
Michele Sale
Danish Saleheen
Juha Saltevo
Peter Eh Schwarz
Wayne H H Sheu
Harold Snieder
Timothy D Spector
Yasuharu Tabara
Jaakko Tuomilehto
Rob M van Dam
James G Wilson
James F Wilson
Bruce H R Wolffenbuttel
Tien Yin Wong
Jer-Yuarn Wu
Jian-Min Yuan
Alan B Zonderman
Nicole Soranzo
Xiuqing Guo
David J Roberts
Jose C Florez
Robert Sladek
Josée Dupuis
Andrew P Morris
E-Shyong Tai
Elizabeth Selvin
Jerome I Rotter
Claudia Langenberg
Inês Barroso
James B Meigs
Source :
PLoS Medicine, Vol 14, Iss 9, p e1002383 (2017)
Publication Year :
2017
Publisher :
Public Library of Science (PLoS), 2017.

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.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
15491277 and 15491676
Volume :
14
Issue :
9
Database :
Directory of Open Access Journals
Journal :
PLoS Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.b2e27362e599446a82e01ed44a56d15a
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pmed.1002383&type=printable