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...

Descripción completa

Detalles Bibliográficos
Autores principales: Levinsohn, Jonathan, Li, Shen, Ha, Eunji, Susztak, Katalin
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