Embracing polygenicity: a review of methods and tools for psychiatric genetics research.

Détails

Ressource 1Télécharger: embracing_polygenicity_a_review_of_methods_and_tools_for_psychiatric_genetics_research.pdf (499.69 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_7E2AD99A9204
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Embracing polygenicity: a review of methods and tools for psychiatric genetics research.
Périodique
Psychological Medicine
Auteur⸱e⸱s
Maier R.M., Visscher P.M., Robinson M.R., Wray N.R.
ISSN
1469-8978 (Electronic)
ISSN-L
0033-2917
Statut éditorial
Publié
Date de publication
2018
Peer-reviewed
Oui
Volume
48
Numéro
7
Pages
1055-1067
Langue
anglais
Résumé
The availability of genome-wide genetic data on hundreds of thousands of people has led to an equally rapid growth in methodologies available to analyse these data. While the motivation for undertaking genome-wide association studies (GWAS) is identification of genetic markers associated with complex traits, once generated these data can be used for many other analyses. GWAS have demonstrated that complex traits exhibit a highly polygenic genetic architecture, often with shared genetic risk factors across traits. New methods to analyse data from GWAS are increasingly being used to address a diverse set of questions about the aetiology of complex traits and diseases, including psychiatric disorders. Here, we give an overview of some of these methods and present examples of how they have contributed to our understanding of psychiatric disorders. We consider: (i) estimation of the extent of genetic influence on traits, (ii) uncovering of shared genetic control between traits, (iii) predictions of genetic risk for individuals, (iv) uncovering of causal relationships between traits, (v) identifying causal single-nucleotide polymorphisms and genes or (vi) the detection of genetic heterogeneity. This classification helps organise the large number of recently developed methods, although some could be placed in more than one category. While some methods require GWAS data on individual people, others simply use GWAS summary statistics data, allowing novel well-powered analyses to be conducted at a low computational burden.

Mots-clé
Genetics, methods, polygenic, review
Pubmed
Web of science
Open Access
Oui
Création de la notice
06/12/2017 12:42
Dernière modification de la notice
20/08/2019 14:39
Données d'usage