Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

Research output: Contribution to journalJournal articleResearchpeer-review

Documents

  • Russell L. McLaughlin
  • Dick Schijven
  • Wouter Van Rheenen
  • Kristel R. Van Eijk
  • Margaret O'Brien
  • René S. Kahn
  • Roel A. Ophoff
  • An Goris
  • Daniel G. Bradley
  • Ammar Al-Chalabi
  • Leonard H. Van Den Berg
  • Jurjen J. Luykx
  • Orla Hardiman
  • Jan H. Veldink
  • Aleksey Shatunov
  • Annelot M. Dekker
  • Frank P. Diekstra
  • Sara L. Pulit
  • Rick A.A. Van Der Spek
  • Perry T.C. Van Doormaal
  • William Sproviero
  • Ashley R. Jones
  • Garth A. Nicholson
  • Dominic B. Rowe
  • Roger Pamphlett
  • Matthew C. Kiernan
  • Denis Bauer
  • Tim Kahlke
  • Kelly Williams
  • Filip Eftimov
  • Isabella Fogh
  • Nicola Ticozzi
  • Kuang Lin
  • Stephanie Millecamps
  • Francois Salachas
  • Vincent Meininger
  • Mamede De Carvalho
  • Susana Pinto
  • Jesus S. Mora
  • Ricardo Rojas-Garcyá
  • Meraida Polak
  • Siddharthan Chandran
  • Peter M. Andersen
  • Pers, Tune H
  • Mark Hansen
  • Thomas Hansen
  • Tao Li
  • Line Olsen
  • Henrik B. Rasmussen
  • Werge, Thomas
  • Project MinE GWAS Consortium & Schizophrenia Working Group of the Psychiatric Genomics Consortium

We have previously shown higher-than-expected rates of schizophrenia in relatives of patients with amyotrophic lateral sclerosis (ALS), suggesting an aetiological relationship between the diseases. Here, we investigate the genetic relationship between ALS and schizophrenia using genome-wide association study data from over 100,000 unique individuals. Using linkage disequilibrium score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7.05-21.6; P=1 × 10-4) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P=8.4 × 10-7). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08-1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies.

Original languageEnglish
Article number14774
JournalNature Communications
Volume8
ISSN2041-1723
DOIs
Publication statusPublished - 2017

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 196951144