Your browser doesn't support javascript.
loading
From GWASs toward Mechanistic Understanding with Case Studies in Dermatogenetics.
Shen, Silvia; Sobczyk, Maria K; Paternoster, Lavinia; Brown, Sara J.
Afiliação
  • Shen S; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, United Kingdom; Institute for Evolution and Ecology, School of Biological Sciences, The University of Edinburgh, Edinburgh, United Kingdom. Electronic address: silvia.shen@ed.ac.
  • Sobczyk MK; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Paternoster L; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Brown SJ; Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, United Kingdom; Department of Dermatology, NHS Lothian, Edinburgh, United Kingdom.
J Invest Dermatol ; 144(6): 1189-1199.e8, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38782533
ABSTRACT
Many human skin diseases result from the complex interplay of genetic and environmental mechanisms that are largely unknown. GWASs have yielded insight into the genetic aspect of complex disease by highlighting regions of the genome or specific genetic variants associated with disease. Leveraging this information to identify causal genes and cell types will provide insight into fundamental biology, inform diagnostics, and aid drug discovery. However, the etiological mechanisms from genetic variant to disease are still unestablished in most cases. There now exists an unprecedented wealth of data and computational methods for variant interpretation in a functional context. It can be challenging to decide where to start owing to a lack of consensus on the best way to identify causal genetic mechanisms. This article highlights 3 key aspects of genetic variant

interpretation:

prioritizing causal genes, cell types, and pathways. We provide a practical overview of the main methods and datasets, giving examples from recent atopic dermatitis studies to provide a blueprint for variant interpretation. A collection of resources, including brief description and links to the packages and web tools, is provided for researchers looking to start in silico follow-up genetic analysis of associated genetic variants.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dermatopatias / Predisposição Genética para Doença / Estudo de Associação Genômica Ampla Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dermatopatias / Predisposição Genética para Doença / Estudo de Associação Genômica Ampla Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article