
Leif Groop
Principal investigator

The trans-ancestral genomic architecture of glycemic traits
Author
Summary, in English
Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 × 10−8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution. © 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
Department/s
- Genomics, Diabetes and Endocrinology
- EXODIAB: Excellence of Diabetes Research in Sweden
- EpiHealth: Epidemiology for Health
- Genetic and Molecular Epidemiology
- Geriatrics
Publishing year
2021
Language
English
Pages
840-860
Publication/Series
Nature Genetics
Volume
53
Issue
6
Document type
Journal article
Publisher
Nature Publishing Group
Topic
- Endocrinology and Diabetes
Keywords
- glycosylated hemoglobin
- allele
- Caucasian
- chromosomal mapping
- gene expression profiling
- genetic epigenesis
- genetics
- genome-wide association study
- glucose blood level
- human
- human genome
- metabolism
- multifactorial inheritance
- quantitative trait
- quantitative trait locus
- Alleles
- Blood Glucose
- Epigenesis, Genetic
- European Continental Ancestry Group
- Gene Expression Profiling
- Genome, Human
- Genome-Wide Association Study
- Glycated Hemoglobin A
- Humans
- Multifactorial Inheritance
- Physical Chromosome Mapping
- Quantitative Trait Loci
- Quantitative Trait, Heritable
Status
Published
Research group
- Genomics, Diabetes and Endocrinology
- Genetic and Molecular Epidemiology
- Geriatrics
ISBN/ISSN/Other
- ISSN: 1546-1718