Analysis of overlapping genetic association in type 1 and type 2 diabetes

Aims/hypothesis Given the potential shared aetiology between type 1 and type 2 diabetes, we aimed to identify any genetic regions associated with both diseases. For associations where there is a shared signal and the allele that increases risk to one disease also increases risk to the other, inferen...

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Bibliographic Details
Published in:Diabetologia 2021-06, Vol.64 (6), p.1342-1347
Main Authors: Inshaw, Jamie R. J., Sidore, Carlo, Cucca, Francesco, Stefana, M. Irina, Crouch, Daniel J. M., McCarthy, Mark I., Mahajan, Anubha, Todd, John A.
Format: Article
Language:English
Subjects:
Alleles
Chromosome 1
Chromosome 11
Chromosome 4
Chromosome 9
Chromosomes
Diabetes
Diabetes mellitus (insulin dependent)
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 1 - genetics
Diabetes Mellitus, Type 2 - genetics
Female
Genetic analysis
Genetic Association Studies
Genetic diversity
Genetic Predisposition to Disease
Genetic relationship
Genome-wide association studies
Genomes
Genotype
Human Physiology
Humans
INS gene
Insulin
Internal Medicine
Italy
Localization
Male
Medicine
Medicine & Public Health
Metabolic Diseases
Polymorphism, Single Nucleotide
Short Communication
Statistical analysis
United Kingdom
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Summary:Aims/hypothesis Given the potential shared aetiology between type 1 and type 2 diabetes, we aimed to identify any genetic regions associated with both diseases. For associations where there is a shared signal and the allele that increases risk to one disease also increases risk to the other, inference about shared aetiology could be made, with the potential to develop therapeutic strategies to treat or prevent both diseases simultaneously. Alternatively, if a genetic signal co-localises with divergent effect directions, it could provide valuable biological insight into how the association affects the two diseases differently. Methods Using publicly available type 2 diabetes summary statistics from a genome-wide association study (GWAS) meta-analysis of European ancestry individuals (74,124 cases and 824,006 controls) and type 1 diabetes GWAS summary statistics from a meta-analysis of studies on individuals from the UK and Sardinia (7467 cases and 10,218 controls), we identified all regions of 0.5 Mb that contained variants associated with both diseases (false discovery rate
ISSN:0012-186X
1432-0428
DOI:10.1007/s00125-021-05428-0