Proteogenomic links to human metabolic diseases-Reference-Cited by-同舟云学术

Proteogenomic links to human metabolic diseases

Published:2023-02-23 Issue:3 Volume:5 Page:516-528
ISSN:2522-5812
Container-title:Nature Metabolism
language:en
Short-container-title:Nat Metab

Author:

Koprulu Mine^ORCID,Carrasco-Zanini Julia^ORCID,Wheeler Eleanor,Lockhart Sam,Kerrison Nicola D.^ORCID,Wareham Nicholas J.^ORCID,Pietzner Maik^ORCID,Langenberg Claudia^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Physiology (medical),Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

https://www.nature.com/articles/s42255-023-00753-7.pdf

Reference81 articles.

1. Buniello, A. et al. The NHGRI-EBI GWAS catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 47, D1005–D1012 (2019).

2. Barbeira, A. N. et al. Exploiting the GTEx resources to decipher the mechanisms at GWAS loci. Genome Biol. 22, 49 (2021).

3. Moore, J. E. et al. Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 583, 699–710 (2020).

4. Abell, N. S. et al. Multiple causal variants underlie genetic associations in humans. Science 375, 1247–1254 (2022).

5. Suhre, K. et al. Connecting genetic risk to disease end points through the human blood plasma proteome. Nat. Commun. 8, 14357 (2017).

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine;Annual Review of Biomedical Data Science;2024-08-23

2. A translational framework of genoproteomic studies for cardiovascular drug discovery;npj Cardiovascular Health;2024-08-06

3. Proteomics profiling and association with cardiorenal complications in type 2 diabetes subtypes in Asian population;Diabetes Research and Clinical Practice;2024-08

4. Genetic mapping of plasma proteome on brain structure;Journal of Genetics and Genomics;2024-07

5. Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study;The Lancet Digital Health;2024-07