Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Identification of common genetic risk variants for autism spectrum disorder

Jakob Grove, BUPGEN, Stephan Ripke, Thomas D. Als, Manuel Mattheisen, Raymond K. Walters, Hyejung Won, Jonatan Pallesen, Esben Agerbo, Ole A. Andreassen, Richard Anney, Swapnil Awashti, Rich Belliveau, Francesco Bettella, Joseph D. Buxbaum, Jonas Bybjerg‐Grauholm, Marie Bækvad‐Hansen, Felecia Cerrato, Kimberly Chambert, Jane Christensen, Claire Churchhouse, Karin Dellenvall, Ditte Demontis, Silvia De Rubeis, Bernie Devlin, Srdjan Djurovic, Ashley Dumont, Jacqueline I. Goldstein, Christine Søholm Hansen, Mads E. Hauberg, Mads V. Hollegaard, Sigrun Hope, Daniel P. Howrigan, Hailiang Huang, Christina M. Hultman, Lambertus Klei, Julian Maller, Joanna Martin, Alicia R. Martin, Jennifer L. Moran, Mette Nyegaard, Terje Nærland, Duncan S. Palmer, Aarno Palotie, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Timothy dPoterba, Jesper Buchhave Poulsen, Beaté St Pourcain, Per Qvist, Karola Rehnström, Abraham Reichenberg, Jennifer Reichert, Elise Robinson, Kathryn Roeder, Panos Roussos, Evald Sæmundsen, Sven Sandin, F. Kyle Satterstrom, George Davey Smith, Hreinn Stefánsson, Stacy Steinberg, Christine Stevens, Patrick F. Sullivan, Patrick Turley, G. Bragi Walters, Xinyi Xu, Kāri Stefánsson, Daniel H. Geschwind, Merete Nordentoft, David M. Hougaard, Thomas Werge, Ole Mors, Preben Bo Mortensen, Benjamin M. Neale, Mark J. Daly, Anders D. Børglum

Nature Genetics · 2019

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Summary

This large-scale genome-wide association meta-analysis, published in Nature Genetics in 2019, identified multiple common genetic variants associated with autism spectrum disorder risk. The international collaboration analysed data across tens of thousands of cases and controls to characterise the genetic architecture of ASD. The findings contribute to understanding biological pathways underlying autism susceptibility, though genetic variants alone do not determine clinical outcome.

UK applicability

The identified genetic variants have relevance to UK clinical genetics and autism research; however, as a foundational genetics study, direct application to farming systems, soil health, or nutrient density outcomes is not applicable to the Vitagri Pulse Brain remit.

Key measures

Genome-wide association study (GWAS) signals; genetic risk variants; heritability estimates; odds ratios for identified loci

Outcomes reported

The study identified common genetic risk variants associated with autism spectrum disorder through genome-wide association analysis. The research mapped genetic loci contributing to ASD susceptibility across a large international cohort.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Laboratory / in vitro
DOI
10.1038/s41588-019-0344-8
Catalogue ID
BFmokjo8sc-53bq5y

Topic tags

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