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GWAS Study

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

Soranzo N, Sanna S, Wheeler E et al.

20858683 PubMed ID
GWAS Study Type
46368 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SN
Soranzo N
SS
Sanna S
WE
Wheeler E
GC
Gieger C
RD
Radke D
DJ
Dupuis J
BN
Bouatia-Naji N
LC
Langenberg C
PI
Prokopenko I
SE
Stolerman E
SM
Sandhu MS
HM
Heeney MM
DJ
Devaney JM
RM
Reilly MP
RS
Ricketts SL
SA
Stewart AF
VB
Voight BF
WC
Willenborg C
WB
Wright B
AD
Altshuler D
AD
Arking D
BB
Balkau B
BD
Barnes D
BE
Boerwinkle E
BB
Böhm B
BA
Bonnefond A
BL
Bonnycastle LL
BD
Boomsma DI
BS
Bornstein SR
BY
Böttcher Y
BS
Bumpstead S
BM
Burnett-Miller MS
CH
Campbell H
CA
Cao A
CJ
Chambers J
CR
Clark R
CF
Collins FS
CJ
Coresh J
DG
de Geus EJ
DM
Dei M
DP
Deloukas P
DA
Döring A
EJ
Egan JM
ER
Elosua R
FL
Ferrucci L
FN
Forouhi N
FC
Fox CS
FC
Franklin C
FM
Franzosi MG
GS
Gallina S
GA
Goel A
GJ
Graessler J
GH
Grallert H
GA
Greinacher A
HD
Hadley D
HA
Hall A
HA
Hamsten A
HC
Hayward C
HS
Heath S
HC
Herder C
HG
Homuth G
HJ
Hottenga JJ
HR
Hunter-Merrill R
IT
Illig T
JA
Jackson AU
JA
Jula A
KM
Kleber M
KC
Knouff CW
KA
Kong A
KJ
Kooner J
KA
Köttgen A
KP
Kovacs P
KK
Krohn K
KB
Kühnel B
KJ
Kuusisto J
LM
Laakso M
LM
Lathrop M
LC
Lecoeur C
LM
Li M
LM
Li M
LR
Loos RJ
LJ
Luan J
LV
Lyssenko V
MR
Mägi R
MP
Magnusson PK
MA
Mälarstig A
MM
Mangino M
MM
Martínez-Larrad MT
MW
März W
MW
McArdle WL
MR
McPherson R
MC
Meisinger C
MT
Meitinger T
MO
Melander O
MK
Mohlke KL
MV
Mooser VE
MM
Morken MA
NN
Narisu N
ND
Nathan DM
NM
Nauck M
OC
O'Donnell C
OK
Oexle K
ON
Olla N
PJ
Pankow JS
PF
Payne F
PJ
Peden JF
PN
Pedersen NL
PL
Peltonen L
PM
Perola M
PO
Polasek O
PE
Porcu E
RD
Rader DJ
RW
Rathmann W
RS
Ripatti S
RG
Rocheleau G
RM
Roden M
RI
Rudan I
SV
Salomaa V
SR
Saxena R
SD
Schlessinger D
SH
Schunkert H
SP
Schwarz P
SU
Seedorf U
SE
Selvin E
SM
Serrano-Ríos M
SP
Shrader P
SA
Silveira A
SD
Siscovick D
SK
Song K
ST
Spector TD
SK
Stefansson K
SV
Steinthorsdottir V
SD
Strachan DP
SR
Strawbridge R
SM
Stumvoll M
SI
Surakka I
SA
Swift AJ
TT
Tanaka T
TA
Teumer A
TG
Thorleifsson G
TU
Thorsteinsdottir U
TA
Tönjes A
UG
Usala G
VV
Vitart V
VH
Völzke H
WH
Wallaschofski H
WD
Waterworth DM
WH
Watkins H
WH
Wichmann HE
WS
Wild SH
WG
Willemsen G
WG
Williams GH
WJ
Wilson JF
WJ
Winkelmann J
WA
Wright AF
ZC
Zabena C
ZJ
Zhao JH
ES
Epstein SE
EJ
Erdmann J
HH
Hakonarson HH
KS
Kathiresan S
KK
Khaw KT
RR
Roberts R
SN
Samani NJ
FM
Fleming MD
SR
Sladek R
AG
Abecasis G
BM
Boehnke M
FP
Froguel P
GL
Groop L
MM
McCarthy MI
KW
Kao WH
FJ
Florez JC
UM
Uda M
WN
Wareham NJ
BI
Barroso I
MJ
Meigs JB
Chapter II

Abstract

Summary of the research findings

Objective: 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.

up to 46,368 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

46368
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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