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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Genome-wide Association Study Identifies 2 New Loci Associated With Anti-NMDAR Encephalitis.

Anja K Tietz1, Klemens Angstwurm1, Tobias Baumgartner1

  • 1From the Department of Neurology (A.K.T., F.L., G.K.), Kiel University; Department of Neurology (K.A.), University Hospital Regensburg; Department of Epileptiology (T.B.), University Hospital Bonn; Department of Neurology (K.D.), University Hospital Würzburg; Institute of Clinical Neuroimmunology (K.E.), Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany; Department of Neurology (M.E., H.M.), Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic; Institute of Clinical Molecular Biology (A.F.), Kiel University; Department of Neurology (K.S.G.), University Hospital Münster; Department of Neurology (R.H.), Carl-Thiem-Klinikum Cottbus; Institute of Neuroimmunology and Multiple Sclerosis (INIMS) (Max Kaufmann), University Medical Center Hamburg-Eppendorf; Department of Neurology (Markus Kraemer), Alfried Krupp Hospital, Essen; Department of Neurology (Markus Kraemer, N.M.), Medical Faculty, Heinrich-Heine University Düsseldorf; Department of Neurology (A.K.), Martha-Maria Hospital Halle; Department of Neurology (J.L.), University of Ulm; Institute of Epidemiology (W.L.), Kiel University; Department of Neurology (M.M.), University Hospital Cologne; Department of Neurology and Clinical Neurophysiology (P.M.), Klinikum Weimar; Department of Neurology (T.P.), Klinikum Ingolstadt; Department of Neurology and Experimental Neurology (H.P.), Charité - Universitätsmedizin Berlin and German Center for Neurodegenerative Diseases (DZNE) Berlin; Department of Pediatric Neurology (K.R.), Children's Hospital Datteln, Witten/Herdecke University; Department of Neurology (M.S.), Asklepios Hospitals Schildautal, Seesen; Neuroimmunology (I.S., K.-P.W., F.L.), Institute of Clinical Chemistry, University Hospital Schleswig-Holstein, Kiel/Lübeck; Epilepsy Center Frankfurt Rhine-Main and Department of Neurology (K.S.), Unversity Hospital and Goethe Universiy Frankfurt; Department of Neurology (K.-W.S.), Hannover Medical School; and Section Translational Neuroimmunology (J.W.), Department of Neurology, University Hospital Jena, Germany.

Neurology(R) Neuroimmunology & Neuroinflammation
|September 29, 2021
PubMed
Summary
This summary is machine-generated.

Genetic variants in LRRK1, ACP2, and NR1H3 genes are linked to anti-NMDA receptor encephalitis. This study identifies key genetic factors contributing to this autoimmune brain disorder.

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Area of Science:

  • Neuroimmunology
  • Genetics
  • Autoimmune Diseases

Background:

  • Anti-NMDA receptor (anti-NMDAR) encephalitis is a common antibody-mediated autoimmune encephalitis.
  • Understanding its genetic underpinnings is crucial for elucidating disease mechanisms.

Purpose of the Study:

  • To investigate the genetic determinants of anti-NMDAR encephalitis.
  • To identify specific genes contributing to the risk of developing this condition.

Main Methods:

  • Genome-wide association study (GWAS) in 178 anti-NMDAR encephalitis patients and 590 healthy controls.
  • Colocalization analysis with expression quantitative trait loci (eQTLs) to pinpoint causal genes.

Main Results:

  • Two independent risk loci with genome-wide significant variants were identified.
  • Key candidate genes include LRRK1, ACP2, NR1H3, MADD, DDB2, and C11orf49.
  • LRRK1 is involved in B-cell development, while NR1H3 (liver X receptor alpha) can inhibit inflammation.

Conclusions:

  • This research provides evidence for genetic factors outside the human leukocyte antigen (HLA) region influencing autoimmune encephalitis.
  • Larger studies are needed to identify additional genetic determinants and further understand the pathomechanism of anti-NMDAR encephalitis.