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High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease.

Diabetologia - 1 Mar 2023

Kim Hyunkyung, Westerman Kenneth E, Smith Kirk, Chiou Joshua, Cole Joanne B, Majarian Timothy, von Grotthuss Marcin, Kwak Soo Heon, Kim Jaegil, Mercader Josep M, Florez Jose C, Gaulton Kyle, Manning Alisa K, Udler Miriam S

Abstract excerpt

AIMS/HYPOTHESIS: Type 2 diabetes is highly polygenic and influenced by multiple biological pathways. Rapid expansion in the number of type 2 diabetes loci can be leveraged to identify such pathways. METHODS: We developed a high-throughput pipeline to enable clustering of type 2 diabetes loci based on variant-trait associations. Our pipeline extracted summary statistics from genome-wide association studies (GWAS)...

Topics

Humans
Diabetes Mellitus, Type 2
Genome-Wide Association Study
Genetic Predisposition to Disease
Bayes Theorem
Cluster Analysis
Polymorphism, Single Nucleotide

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 36538063
DOI: 10.1007/s00125-022-05848-6
PMCID: PMC10108373

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