Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways

Nicole Soranzo; Serena Sanna; Eleanor Wheeler; Christian Gieger; Dörte Radke; Josée Dupuis; Nabila Bouatia-Naji; Claudia Langenberg; Inga Prokopenko; Elliot Stolerman; Manjinder S Sandhu; Matthew M Heeney; Joseph M Devaney; Muredach P Reilly; Sally L Ricketts; Alexandre F R Stewart; Benjamin F Voight; Christina Willenborg; Benjamin Wright; David Altshuler; Dan Arking; Beverley Balkau; Daniel Barnes; Eric Boerwinkle; Bernhard Böhm; Amélie Bonnefond; Lori L Bonnycastle; Dorret I Boomsma; Stefan R Bornstein; Yvonne Böttcher; Suzannah Bumpstead; Mary Susan Burnett-Miller; Harry Campbell; Antonio Cao; John Chambers; Robert Clark; Francis S Collins; Josef Coresh; Eco J C de Geus; Mariano Dei; Panos Deloukas; Angela Döring; Josephine M Egan; Roberto Elosua; Luigi Ferrucci; Nita Forouhi; Caroline S Fox; Christopher Franklin; Maria Grazia Franzosi; Wendy L McArdle; WTCCC

doi:10.2337/db10-0502

Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways

Nicole Soranzo
, Serena Sanna
, Eleanor Wheeler
, Christian Gieger
, Dörte Radke
, Josée Dupuis
, Nabila Bouatia-Naji
, Claudia Langenberg
, Inga Prokopenko
, Elliot Stolerman
, Manjinder S Sandhu
, Matthew M Heeney
, Joseph M Devaney
, Muredach P Reilly
, Sally L Ricketts
, Alexandre F R Stewart
, Benjamin F Voight
, Christina Willenborg
, Benjamin Wright
, David Altshuler

Dan Arking, Beverley Balkau, Daniel Barnes, Eric Boerwinkle, Bernhard Böhm, Amélie Bonnefond, Lori L Bonnycastle, Dorret I Boomsma, Stefan R Bornstein, Yvonne Böttcher, Suzannah Bumpstead, Mary Susan Burnett-Miller, Harry Campbell, Antonio Cao, John Chambers, Robert Clark, Francis S Collins, Josef Coresh, Eco J C de Geus, Mariano Dei, Panos Deloukas, Angela Döring, Josephine M Egan, Roberto Elosua, Luigi Ferrucci, Nita Forouhi, Caroline S Fox, Christopher Franklin, Maria Grazia Franzosi, Wendy L McArdle, WTCCC

Bristol Medical School (PHS)

Research output: Contribution to journal › Article (Academic Journal) › peer-review

378 Citations (Scopus)

Abstract

Glycated hemoglobin (HbA₁(c)), used to monitor and diagnose diabetes, is influenced by average glycemia over a 2- to 3-month period. Genetic factors affecting expression, turnover, and abnormal glycation of hemoglobin could also be associated with increased levels of HbA₁(c). We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA₁(c) levels.

Original language	English
Pages (from-to)	3229-39
Number of pages	11
Journal	Diabetic Medicine
Volume	59
Issue number	12
DOIs	https://doi.org/10.2337/db10-0502
Publication status	Published - 2010

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SDG 3 Good Health and Well-being

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Soranzo, N., Sanna, S., Wheeler, E., Gieger, C., Radke, D., Dupuis, J., Bouatia-Naji, N., Langenberg, C., Prokopenko, I., Stolerman, E., Sandhu, M. S., Heeney, M. M., Devaney, J. M., Reilly, M. P., Ricketts, S. L., Stewart, A. F. R., Voight, B. F., Willenborg, C., Wright, B., ... WTCCC (2010). Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways. Diabetic Medicine, 59(12), 3229-39. https://doi.org/10.2337/db10-0502

@article{f318775a2dbd478f9f48f5ba6bb4acd8,

title = "Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways",

abstract = "Glycated hemoglobin (HbA₁(c)), used to monitor and diagnose diabetes, is influenced by average glycemia over a 2- to 3-month period. Genetic factors affecting expression, turnover, and abnormal glycation of hemoglobin could also be associated with increased levels of HbA₁(c). We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA₁(c) levels.",

author = "Nicole Soranzo and Serena Sanna and Eleanor Wheeler and Christian Gieger and D{\"o}rte Radke and Jos{\'e}e Dupuis and Nabila Bouatia-Naji and Claudia Langenberg and Inga Prokopenko and Elliot Stolerman and Sandhu, \{Manjinder S\} and Heeney, \{Matthew M\} and Devaney, \{Joseph M\} and Reilly, \{Muredach P\} and Ricketts, \{Sally L\} and Stewart, \{Alexandre F R\} and Voight, \{Benjamin F\} and Christina Willenborg and Benjamin Wright and David Altshuler and Dan Arking and Beverley Balkau and Daniel Barnes and Eric Boerwinkle and Bernhard B{\"o}hm and Am{\'e}lie Bonnefond and Bonnycastle, \{Lori L\} and Boomsma, \{Dorret I\} and Bornstein, \{Stefan R\} and Yvonne B{\"o}ttcher and Suzannah Bumpstead and Burnett-Miller, \{Mary Susan\} and Harry Campbell and Antonio Cao and John Chambers and Robert Clark and Collins, \{Francis S\} and Josef Coresh and \{de Geus\}, \{Eco J C\} and Mariano Dei and Panos Deloukas and Angela D{\"o}ring and Egan, \{Josephine M\} and Roberto Elosua and Luigi Ferrucci and Nita Forouhi and Fox, \{Caroline S\} and Christopher Franklin and Franzosi, \{Maria Grazia\} and McArdle, \{Wendy L\} and WTCCC",

year = "2010",

doi = "10.2337/db10-0502",

language = "English",

volume = "59",

pages = "3229--39",

journal = "Diabetic Medicine",

issn = "1464-5491",

publisher = "Wiley-Blackwell",

number = "12",

}

Soranzo, N, Sanna, S, Wheeler, E, Gieger, C, Radke, D, Dupuis, J, Bouatia-Naji, N, Langenberg, C, Prokopenko, I, Stolerman, E, Sandhu, MS, Heeney, MM, Devaney, JM, Reilly, MP, Ricketts, SL, Stewart, AFR, Voight, BF, Willenborg, C, Wright, B, Altshuler, D, Arking, D, Balkau, B, Barnes, D, Boerwinkle, E, Böhm, B, Bonnefond, A, Bonnycastle, LL, Boomsma, DI, Bornstein, SR, Böttcher, Y, Bumpstead, S, Burnett-Miller, MS, Campbell, H, Cao, A, Chambers, J, Clark, R, Collins, FS, Coresh, J, de Geus, EJC, Dei, M, Deloukas, P, Döring, A, Egan, JM, Elosua, R, Ferrucci, L, Forouhi, N, Fox, CS, Franklin, C, Franzosi, MG, McArdle, WL & WTCCC 2010, 'Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways', Diabetic Medicine, vol. 59, no. 12, pp. 3229-39. https://doi.org/10.2337/db10-0502

TY - JOUR

T1 - Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways

AU - Soranzo, Nicole

AU - Sanna, Serena

AU - Wheeler, Eleanor

AU - Gieger, Christian

AU - Radke, Dörte

AU - Dupuis, Josée

AU - Bouatia-Naji, Nabila

AU - Langenberg, Claudia

AU - Prokopenko, Inga

AU - Stolerman, Elliot

AU - Sandhu, Manjinder S

AU - Heeney, Matthew M

AU - Devaney, Joseph M

AU - Reilly, Muredach P

AU - Ricketts, Sally L

AU - Stewart, Alexandre F R

AU - Voight, Benjamin F

AU - Willenborg, Christina

AU - Wright, Benjamin

AU - Altshuler, David

AU - Arking, Dan

AU - Balkau, Beverley

AU - Barnes, Daniel

AU - Boerwinkle, Eric

AU - Böhm, Bernhard

AU - Bonnefond, Amélie

AU - Bonnycastle, Lori L

AU - Boomsma, Dorret I

AU - Bornstein, Stefan R

AU - Böttcher, Yvonne

AU - Bumpstead, Suzannah

AU - Burnett-Miller, Mary Susan

AU - Campbell, Harry

AU - Cao, Antonio

AU - Chambers, John

AU - Clark, Robert

AU - Collins, Francis S

AU - Coresh, Josef

AU - de Geus, Eco J C

AU - Dei, Mariano

AU - Deloukas, Panos

AU - Döring, Angela

AU - Egan, Josephine M

AU - Elosua, Roberto

AU - Ferrucci, Luigi

AU - Forouhi, Nita

AU - Fox, Caroline S

AU - Franklin, Christopher

AU - Franzosi, Maria Grazia

AU - McArdle, Wendy L

AU - WTCCC

PY - 2010

Y1 - 2010

N2 - Glycated hemoglobin (HbA₁(c)), used to monitor and diagnose diabetes, is influenced by average glycemia over a 2- to 3-month period. Genetic factors affecting expression, turnover, and abnormal glycation of hemoglobin could also be associated with increased levels of HbA₁(c). We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA₁(c) levels.

AB - Glycated hemoglobin (HbA₁(c)), used to monitor and diagnose diabetes, is influenced by average glycemia over a 2- to 3-month period. Genetic factors affecting expression, turnover, and abnormal glycation of hemoglobin could also be associated with increased levels of HbA₁(c). We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA₁(c) levels.

U2 - 10.2337/db10-0502

DO - 10.2337/db10-0502

M3 - Article (Academic Journal)

C2 - 20858683

SN - 1464-5491

VL - 59

SP - 3229

EP - 3239

JO - Diabetic Medicine

JF - Diabetic Medicine

IS - 12

ER -

Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways

Abstract

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