Pers Tune H, Timshel Pascal, Ripke Stephan, Lent Samantha, Sullivan Patrick F, O'Donovan Michael C, Franke Lude, Hirschhorn Joel N
Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA, Medical and Population Genetics Program and The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 1, København Ø 2100, Denmark, Department of Epidemiology Research, Statens Serum Institut, 2300 Copenhagen, Denmark.
The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 1, København Ø 2100, Denmark, Department of Epidemiology Research, Statens Serum Institut, 2300 Copenhagen, Denmark.
Hum Mol Genet. 2016 Mar 15;25(6):1247-54. doi: 10.1093/hmg/ddw007. Epub 2016 Jan 10.
Over 100 associated genetic loci have been robustly associated with schizophrenia. Gene prioritization and pathway analysis have focused on a priori hypotheses and thus may have been unduly influenced by prior assumptions and missed important causal genes and pathways. Using a data-driven approach, we show that genes in associated loci: (1) are highly expressed in cortical brain areas; (2) are enriched for ion channel pathways (false discovery rates <0.05); and (3) contain 62 genes that are functionally related to each other and hence represent promising candidates for experimental follow up. We validate the relevance of the prioritized genes by showing that they are enriched for rare disruptive variants and de novo variants from schizophrenia sequencing studies (odds ratio 1.67, P = 0.039), and are enriched for genes encoding members of mouse and human postsynaptic density proteomes (odds ratio 4.56, P = 5.00 × 10(-4); odds ratio 2.60, P = 0.049).The authors wish it to be known that, in their opinion, the first 2 authors should be regarded as joint First Author.
超过100个相关基因位点与精神分裂症密切相关。基因优先级排序和通路分析聚焦于先验假设,因此可能受到先入为主观念的过度影响,从而遗漏了重要的因果基因和通路。通过数据驱动的方法,我们发现相关基因位点中的基因:(1)在大脑皮质区域高表达;(2)在离子通道通路中富集(错误发现率<0.05);(3)包含62个彼此功能相关的基因,因此是实验后续研究的有希望的候选基因。我们通过表明这些基因在精神分裂症测序研究的罕见破坏性变异和新生变异中富集(优势比1.67,P = 0.039),以及在编码小鼠和人类突触后致密蛋白质组成员的基因中富集(优势比4.56,P = 5.00×10⁻⁴;优势比2.60,P = 0.049),验证了优先排序基因的相关性。作者希望人们知道,在他们看来,前两位作者应被视为共同第一作者。