Cargando…
Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship
BACKGROUND: Kidney diseases pose a significant global health burden; there is an urgent need to deepen our understanding of their underlying mechanisms. SUMMARY: This review focuses on new innovative approaches that merge genome-wide association studies (GWAS) and single-cell omics (including transc...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686632/ https://www.ncbi.nlm.nih.gov/pubmed/38033715 http://dx.doi.org/10.1159/000534678 |
_version_ | 1785151816245182464 |
---|---|
author | Levinsohn, Jonathan Li, Shen Ha, Eunji Susztak, Katalin |
author_facet | Levinsohn, Jonathan Li, Shen Ha, Eunji Susztak, Katalin |
author_sort | Levinsohn, Jonathan |
collection | PubMed |
description | BACKGROUND: Kidney diseases pose a significant global health burden; there is an urgent need to deepen our understanding of their underlying mechanisms. SUMMARY: This review focuses on new innovative approaches that merge genome-wide association studies (GWAS) and single-cell omics (including transcriptomics) in kidney disease research. We begin by detailing how GWAS has identified numerous genetic risk factors, offering valuable insight into disease susceptibility. Then, we explore the application of scRNA-seq, highlighting its ability to unravel how genetic variants influence cellular phenotypes. Through a synthesis of recent studies, we illuminate the synergy between these two powerful methodologies, demonstrating their potential in elucidating the complex etiology of kidney diseases. Moreover, we discuss how this integrative approach could pave the way for precise diagnostics and personalized treatments. KEY MESSAGE: This review underscores the transformative potential of combining GWAS and scRNA-seq in the journey toward a deeper understanding of kidney diseases. |
format | Online Article Text |
id | pubmed-10686632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-106866322023-11-30 Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship Levinsohn, Jonathan Li, Shen Ha, Eunji Susztak, Katalin Glomerular Dis Review Article BACKGROUND: Kidney diseases pose a significant global health burden; there is an urgent need to deepen our understanding of their underlying mechanisms. SUMMARY: This review focuses on new innovative approaches that merge genome-wide association studies (GWAS) and single-cell omics (including transcriptomics) in kidney disease research. We begin by detailing how GWAS has identified numerous genetic risk factors, offering valuable insight into disease susceptibility. Then, we explore the application of scRNA-seq, highlighting its ability to unravel how genetic variants influence cellular phenotypes. Through a synthesis of recent studies, we illuminate the synergy between these two powerful methodologies, demonstrating their potential in elucidating the complex etiology of kidney diseases. Moreover, we discuss how this integrative approach could pave the way for precise diagnostics and personalized treatments. KEY MESSAGE: This review underscores the transformative potential of combining GWAS and scRNA-seq in the journey toward a deeper understanding of kidney diseases. S. Karger AG 2023-10-30 /pmc/articles/PMC10686632/ /pubmed/38033715 http://dx.doi.org/10.1159/000534678 Text en © 2023 The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes requires written permission. |
spellingShingle | Review Article Levinsohn, Jonathan Li, Shen Ha, Eunji Susztak, Katalin Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship |
title | Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship |
title_full | Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship |
title_fullStr | Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship |
title_full_unstemmed | Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship |
title_short | Combing Genome-Wide Association Studies and Single-Cell Analysis to Elucidate the Mechanisms of Kidney Disease: Proceedings of the Henry Shavelle Professorship |
title_sort | combing genome-wide association studies and single-cell analysis to elucidate the mechanisms of kidney disease: proceedings of the henry shavelle professorship |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686632/ https://www.ncbi.nlm.nih.gov/pubmed/38033715 http://dx.doi.org/10.1159/000534678 |
work_keys_str_mv | AT levinsohnjonathan combinggenomewideassociationstudiesandsinglecellanalysistoelucidatethemechanismsofkidneydiseaseproceedingsofthehenryshavelleprofessorship AT lishen combinggenomewideassociationstudiesandsinglecellanalysistoelucidatethemechanismsofkidneydiseaseproceedingsofthehenryshavelleprofessorship AT haeunji combinggenomewideassociationstudiesandsinglecellanalysistoelucidatethemechanismsofkidneydiseaseproceedingsofthehenryshavelleprofessorship AT susztakkatalin combinggenomewideassociationstudiesandsinglecellanalysistoelucidatethemechanismsofkidneydiseaseproceedingsofthehenryshavelleprofessorship |