Better together: Non-additive interactions between schizophrenia risk genes

被引：0

作者：

Deans, P. J. Michael ^{[1
,2
]}

Brennand, Kristen J. ^{[1
,2
]}

机构：

[1] Yale Univ, Sch Med, Div Mol Psychiat, Dept Psychiat, New Haven, CT 06511 USA

[2] Yale Univ, Dept Genet, Div Mol Psychiat, Sch Med, New Haven, CT 06511 USA

来源：

CELL GENOMICS | 2023年 / 3卷 / 09期

关键词：

DISEASE;

D O I：

10.1016/j.xgen.2023.100403

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Zhang, Zhang, Forrest et al combine allele-specific open chromatin (ASoC) mapping and CRISPR-editing to evaluate the functional impact of schizophrenia risk variants on human neuronal gene expression, synaptic development, and function. In doing so, they uncover surprising non-additive effects between target genes regulated by the same risk variant.

引用

页数：3

共 3 条

[1] A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
Orlenko, Alena
Moore, Jason H.
BIODATA MINING, 2021, 14 (01)
[2] Investigating interactions between early life stress and two single nucleotide polymorphisms in HSD11B2 on the risk of schizophrenia
Debost, Jean-Christophe
Petersen, Liselotte
Grove, Jakob
Hedemand, Anne
Khashan, Ali
Henriksen, Tine
Mors, Ole
Hollegaard, Mads
Hougaard, David
Nyegaard, Mette
Borglum, Anders
Mortensen, Preben Bo
PSYCHONEUROENDOCRINOLOGY, 2015, 60 : 18 - 27
[3] Machine learning and network analysis of the gut microbiome from patients with schizophrenia and non-psychiatric subject controls reveal behavioral risk factors and bacterial interactions
Wang, Dong
Russel, William A.
Sun, Yuntong
Belanger, Kenneth D.
Ay, Ahmet
SCHIZOPHRENIA RESEARCH, 2023, 251 : 49 - 58

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