【佳学基因检测】精神病中复杂性状的基因检测及分析
基因检测有必要做吗—解答
研讨基因检测人员学科学习手册,讨论《精神与神经疾病靶向药物的敏感性及有效性》及其他基因检测相关论点时,基因检测医学分析人员联盟成员发现《Biol Psychiatry》在. 2015 Jan 1;77(1):36-42.发表了一篇题目为《精神病学中复杂性状的遗传学》肿瘤靶向药物治疗基因检测临床研究文章。该研究由Joel Gelernter等完成。促进了精神病复杂症状的认知及基因检测在这一问题解决目标实现方面的重要性,进一步加强了医护人员对基因检测在精神科应用与普及的信心。
神经疾病遗传阻断及精准治疗临床研究内容关键词:
精神疾病,精神病特征,复发性,临床症状,风险等位工压力大,上位性,表观遗传效应
精神科心理科疾病用药指导基因检测临床应用结果
几乎所有的精神特征在遗传上都是复杂的。本文讨论了精神病学中复杂特征的遗传学。复杂性是由许多因素造成的,包括多个风险等位基因、上位性和表观遗传效应(如甲基化)。风险等位基因可以个别地是常见的或罕见的,并且可以包括例如单核苷酸多态性和传播的或新突变的拷贝数变体,以及其他种类的变体。许多不同种类的变异对于特征风险可能很重要,或者以不同的比例组合在一起,或者作为不同受试者的不同因素。直到最近,复杂性状的处理方法还很有限,因此只能鉴定出少数变体,通常影响较小。目前,存在一个更丰富的设备,包括全基因组关联研究和下一代高通量测序的常规应用,以及将这些信息与其他生物学相关信息(如表达数据)相结合。我们还看到了大型荟萃分析和大型分析联盟的出现。这些发展对精神遗传学极为重要,极大地推动了该领域的发展,并有望在未来几年内获得巨大的收益,因为它们将得到更广泛的应用。 GWAS;遗传学; G×E;多态性;测序研究。
神经及精神疾病及其并发征、合并征国际数据库描述:
Virtually all psychiatric traits are genetically complex. This article discusses the genetics of complex traits in psychiatry. The complexity is accounted for by numerous factors, including multiple risk alleles, epistasis, and epigenetic effects such as methylation. Risk alleles can individually be common or rare, and can include, for example, single nucleotide polymorphisms and copy number variants that are transmitted or are new mutations, and other kinds of variation. Many different kinds of variation can be important for trait risk, either together in various proportions or as different factors in different subjects. Until more recently, approaches to complex traits were limited, and consequently only a few variants, usually of individually minor effect, were identified. At the present time, a much richer armamentarium exists that includes the routine application of genome-wide association studies and next-generation high-throughput sequencing and the combination of this information with other biologically relevant information, such as expression data. We have also seen the emergence of large meta-analysis and mega-analysis consortia. These developments are extremely important for psychiatric genetics, have advanced the field substantially, and promise formidable gains in the years to come as they are applied more widely.Keywords: Complex Traits; GWAS; Genetics; G×E; Polymorphisms; Sequencing Studies.
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