New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
The MAGIC investigators report results of a large genome-wide association study meta-analysis to identify common variants influencing fasting glucose homeostasis. They further show that several of the newly discovered loci influencing glycemic traits are also associated with risk of type 2 diabetes....
Saved in:
Published in | Nature genetics Vol. 42; no. 2; pp. 105 - 116 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.02.2010
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The MAGIC investigators report results of a large genome-wide association study meta-analysis to identify common variants influencing fasting glucose homeostasis. They further show that several of the newly discovered loci influencing glycemic traits are also associated with risk of type 2 diabetes.
Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near
ADCY5
,
MADD
,
ADRA2A
,
CRY2
,
FADS1
,
GLIS3
,
SLC2A2
,
PROX1
and
C2CD4B
) and one influencing fasting insulin and HOMA-IR (near
IGF1
). We also demonstrated association of
ADCY5
,
PROX1
,
GCK
,
GCKR
and
DGKB-TMEM195
with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 PMCID: PMC3018764 See appendix for full list of authors These authors contributed equally |
ISSN: | 1061-4036 1546-1718 1546-1718 |
DOI: | 10.1038/ng.520 |