Evidence of statistical epistasis between DISC1, CIT and NDEL1 impacting risk for schizophrenia: biological validation with functional neuroimaging

被引:72
作者
Nicodemus, Kristin K. [1 ,2 ,3 ]
Callicott, Joseph H. [1 ]
Higier, Rachel G. [1 ]
Luna, Augustin [1 ]
Nixon, Devon C. [1 ]
Lipska, Barbara K. [1 ]
Vakkalanka, Radhakrishna [1 ]
Giegling, Ina [4 ]
Rujescu, Dan [4 ]
St Clair, David [5 ]
Muglia, Pierandrea [6 ]
Shugart, Yin Yao [7 ]
Weinberger, Daniel R. [1 ]
机构
[1] NIMH, Genes Cognit & Psychosis Program, Intramural Res Program, NIH, Bethesda, MD 20892 USA
[2] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford OX3 7BN, England
[3] Univ Oxford, Dept Clin Pharmacol, Oxford OX3 7DQ, England
[4] Univ Munich, Sect Mol & Clin Neurobiol, Dept Psychiat, D-80336 Munich, Germany
[5] Univ Aberdeen, Inst Med Sci, Aberdeen AB25 2ZD, Scotland
[6] GlaxoSmithKline, I-37135 Verona, Italy
[7] NIMH, Genom Res Branch, Div Neurosci Ctr, NIH, Bethesda, MD 20892 USA
关键词
SINGLE NUCLEOTIDE POLYMORPHISM; ASSOCIATION ANALYSIS; POWER CALCULATIONS; BIPOLAR DISORDER; WORKING-MEMORY; NO ASSOCIATION; GENE; DISRUPTED-IN-SCHIZOPHRENIA-1; PHENOTYPES; PROTEIN;
D O I
10.1007/s00439-009-0782-y
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The etiology of schizophrenia likely involves genetic interactions. DISC1, a promising candidate susceptibility gene, encodes a protein which interacts with many other proteins, including CIT, NDEL1, NDE1, FEZ1 and PAFAH1B1, some of which also have been associated with psychosis. We tested for epistasis between these genes in a schizophrenia case-control study using machine learning algorithms (MLAs: random forest, generalized boosted regression and Monte Carlo logic regression). Convergence of MLAs revealed a subset of seven SNPs that were subjected to 2-SNP interaction modeling using likelihood ratio tests for nested unconditional logistic regression models. Of the C-7(2) = 21 interactions, four were significant at the alpha = 0.05 level: DISC1 rs1411771-CIT rs10744743 OR = 3.07 (1.37, 6.98) p = 0.007; CIT rs3847960-CIT rs203332 OR = 2.90 (1.45, 5.79) p = 0.003; CIT rs3847960-CIT rs440299 OR = 2.16 (1.04, 4.46) p = 0.038; one survived Bonferroni correction (NDEL1 rs4791707-CIT rs10744743 OR = 4.44 (2.22, 8.88) p = 0.00013). Three of four interactions were validated via functional magnetic resonance imaging (fMRI) in an independent sample of healthy controls; risk associated alleles at both SNPs predicted prefrontal cortical inefficiency during the N-back task, a schizophrenia-linked intermediate biological phenotype: rs3847960-rs440299; rs1411771-rs10744743, rs4791707-rs10744743 (SPM5 p < 0.05, corrected), although we were unable to statistically replicate the interactions in other clinical samples. Interestingly, the CIT SNPs are proximal to exons that encode the DISC1 interaction domain. In addition, the 3' UTR DISC1 rs1411771 is predicted to be an exonic splicing enhancer and the NDEL1 SNP is similar to 3,000 bp from the exon encoding the region of NDEL1 that interacts with the DISC1 protein, giving a plausible biological basis for epistasis signals validated by fMRI.
引用
收藏
页码:441 / 452
页数:12
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