Transethnic Insight into the Genetics of Glycaemic Traits: Fine-Mapping Results from the Population Architecture Using Genomics and Epidemiology (PAGE) Consortium

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Citation

Bien, Stephanie A.; Pankow, James S.; Haessler, Jeffrey; Lu, Yinchang; Pankratz, Nathan; Rohde, Rebecca R.; Alfred, Tamuno; Carlson, Christopher S.; Schumacher, Fredrick R.; & Buzkova, Petra, et al. (2017). Transethnic Insight into the Genetics of Glycaemic Traits: Fine-Mapping Results from the Population Architecture Using Genomics and Epidemiology (PAGE) Consortium. Diabetologia, 60(12), 2384-2398. PMCID: PMC5918310

Abstract

AIMS/HYPOTHESIS: Elevated levels of fasting glucose and fasting insulin in non-diabetic individuals are markers of dysregulation of glucose metabolism and are strong risk factors for type 2 diabetes. Genome-wide association studies have discovered over 50 SNPs associated with these traits. Most of these loci were discovered in European populations and have not been tested in a well-powered multi-ethnic study. We hypothesised that a large, ancestrally diverse, fine-mapping genetic study of glycaemic traits would identify novel and population-specific associations that were previously undetectable by European-centric studies.
METHODS: A multiethnic study of up to 26,760 unrelated individuals without diabetes, of predominantly Hispanic/Latino and African ancestries, were genotyped using the Metabochip. Transethnic meta-analysis of racial/ethnic-specific linear regression analyses were performed for fasting glucose and fasting insulin. We attempted to replicate 39 fasting glucose and 17 fasting insulin loci. Genetic fine-mapping was performed through sequential conditional analyses in 15 regions that included both the initially reported SNP association(s) and denser coverage of SNP markers. In addition, Metabochip-wide analyses were performed to discover novel fasting glucose and fasting insulin loci. The most significant SNP associations were further examined using bioinformatic functional annotation.
RESULTS: Previously reported SNP associations were significantly replicated (p CONCLUSIONS/INTERPRETATION: These findings suggest that while glycaemic trait loci often have generalisable effects across the studied populations, transethnic genetic studies help to prioritise likely functional SNPs, identify novel associations that may be population-specific and in turn have the potential to influence screening efforts or therapeutic discoveries.

URL

http://dx.doi.org/10.1007/s00125-017-4405-1

Reference Type

Journal Article

Year Published

2017

Journal Title

Diabetologia

Series Title

SA Bien et al. Diabetologia 60 (12), 2542-2543. Dec 2017. PMID 29038867.

Author(s)

Bien, Stephanie A.
Pankow, James S.
Haessler, Jeffrey
Lu, Yinchang
Pankratz, Nathan
Rohde, Rebecca R.
Alfred, Tamuno
Carlson, Christopher S.
Schumacher, Fredrick R.
Buzkova, Petra
Daviglus, Martha L.
Lim, Unhee
Fornage, Myriam
Fernandez-Rhodes, Lindsay
Aviles-Santa, M. Larissa
Buyske, Steven G.
Gross, Myron D.
Graff, Mariaelisa
Isasi, Carmen R.
Kuller, Lewis H.
Manson, JoAnn E.
Matise, Tara C.
Prentice, Ross L.
Wilkens, Lynne R.
Yoneyama, Sachiko
Loos, Ruth J. F.
Hindorff, Lucia A.
Le Marchand, Loic
North, Kari E.
Haiman, Christopher A.
Peters, Ulrike
Kooperberg, Charles L.

PMCID

PMC5918310

ORCiD

Graff - 0000-0001-6380-1735
Fernandez-Rhodes - 0000-0001-6985-423X