Cross-tissue exploration of genetic and epigenetic effects on brain gray matter in schizophrenia

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Dongdong Lin - , The Mind Research Network (Autor:in)
  • Jiayu Chen - , The Mind Research Network (Autor:in)
  • Stefan Ehrlich - , Psychosoziale Medizin und Entwicklungsneurowissenschaften (Autor:in)
  • Juan R. Bustillo - , University of New Mexico (Autor:in)
  • Nora Perrone-Bizzozero - , University of New Mexico (Autor:in)
  • Esther Walton - , Georgia State University (Autor:in)
  • Vincent P. Clark - , The Mind Research Network, University of New Mexico (Autor:in)
  • Yu Ping Wang - , Tulane University (Autor:in)
  • Jing Sui - , The Mind Research Network, CAS - Institute of Automation (Autor:in)
  • Yuhui Du - , The Mind Research Network, Shanxi University (Autor:in)
  • Beng C. Ho - , University of Iowa (Autor:in)
  • Charles S. Schulz - , University of Minnesota System (Autor:in)
  • Vince D. Calhoun - , The Mind Research Network, University of New Mexico (Autor:in)
  • Jingyu Liu - , The Mind Research Network, University of New Mexico (Autor:in)

Abstract

Closely linking genetics and environment factors, epigenetics has been of increasing interest in psychiatric disease studies. In this work, we integrated single nucleotide polymorphisms (SNPs), DNA methylation of blood and saliva, and brain gray matter (GM) measures to explore the role of genetic and epigenetic variation to the brain structure changes in schizophrenia (SZ). By focusing on the reported SZ genetic risk regions, we applied a multi-stage multivariate analysis to a discovery dataset (92 SZ patients and 110 controls, blood) and an independent replication dataset (93 SZ patients and 99 controls, saliva). Two pairs of SNP-methylation components were significantly correlated (r = .48 and .35) in blood DNA, and replicated (r = .46 and .29) in saliva DNA, reflecting cross-tissue SNP cis-effects. In the discovery data, both SNP-related methylation components were also associated with one GM component primarily located in cerebellum, caudate, and thalamus. Additionally, another methylation component in NOSIP gene with significant SZ patient differences (P = .009), was associated with 8 GM components (7 with patient differences) including superior, middle, and inferior frontal gyri, superior, middle, and inferior temporal gyri, cerebellum, insula, cuneus, and lingual gyrus. Of these, 5 methylation-GM associations were replicated (P < .05). In contrast, no pairwise significant associations were observed between SNP and GM components. This study strongly supports that compared to genetic variation, epigenetics show broader and more significant associations with brain structure as well as diagnosis, which can be cross-tissue, and the potential in explaining the mechanism of genetic risks in SZ.

Details

OriginalspracheEnglisch
Seiten (von - bis)443-452
Seitenumfang10
FachzeitschriftSchizophrenia bulletin
Jahrgang44
Ausgabenummer2
PublikationsstatusVeröffentlicht - 2018
Peer-Review-StatusJa

Externe IDs

PubMed 28521044
ORCID /0000-0003-2132-4445/work/160950871

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Brain gray matter, Cross-tissue, DNA methylation, Genetics, MeQTL, Schizophrenia