High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease-Reference-Cited by-同舟云学术

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

Published:2022-12-20 Issue:3 Volume:66 Page:495-507
ISSN:0012-186X
Container-title:Diabetologia
language:en
Short-container-title:Diabetologia

Author:

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

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00125-022-05848-6.pdf

Reference49 articles.

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2. Mahajan A, Taliun D, Thurner M et al (2018) Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat Genet 50(11):1505–1513. https://doi.org/10.1038/s41588-018-0241-6

3. Goodarzi MO, Palmer ND, Cui J et al (2020) Classification of type 2 diabetes genetic variants and a novel genetic risk score association with insulin clearance. J Clin Endocrinol Metab 105(4):1251–1260. https://doi.org/10.1210/clinem/dgz198

4. Mahajan A, Wessel J, Willems SM et al (2018) Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat Genet 50(4):559–571. https://doi.org/10.1038/s41588-018-0084-1

5. Udler MS, Kim J, von Grotthuss M et al (2018) Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: a soft clustering analysis. PLoS Med 15(9):e1002654. https://doi.org/10.1371/journal.pmed.1002654

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