July 15, 2024

Multi-omics characterization of type 2 diabetes associated genetic variation.

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Authors

RMRavi MandlaBroad Institute KLKimberly LorenzTranslational Therapeutics (United States)XYXianyong YinGuangzhou University of Chinese Medicine

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Implication

Multi-ancestry genomic analysis uncovers functional mechanisms of risk variants in diverse populations, highlighting potential therapeutic targets for type 2 diabetes.

Key Points

Functional mapping links genetic variation to regulatory mechanisms across tissues, connecting risk alleles to molecular traits and effector genes in type 2 diabetes.
Colocalization occurred for 716 of 1,289 index variants, implicating hundreds of effector genes and molecular traits in disease pathogenesis across diverse groups.
Integration of multi-ancestry quantitative trait loci and genome-wide association studies reveals effector networks, highlighting potential targets for therapeutic intervention.

Cite This Study

Mandla et al. (2024) studied this question.

synapsesocial.com/papers/68e6035db6db643587596f20 https://doi.org/10.1101/2024.07.15.24310282

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Implication

Multi-ancestry genomic analysis uncovers functional mechanisms of risk variants in diverse populations, highlighting potential therapeutic targets for type 2 diabetes.

Multi-omics characterization of type 2 diabetes associated genetic variation.

Discussion

Member takes

Implication

Key Points

Cite This Study

Multi-omics characterization of type 2 diabetes associated genetic variation.

Discussion

Member takes

Implication

Key Points

Cite This Study

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