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Can single genes matter in a polygenic world?

机译:单基因可以在多基因世界中起作用吗?

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Like dogs chasing a car down the street, investigators in psychiatric genetics sometimes appear uncertain about what we will do once we actually catch up with our prey. As putative risk genes begin to appear more consistently in large-scale disease-association studies, the need for clarity about how they can be followed up becomes more acute. Two articles in this issue frame the challenge well. The first, by Terracciano et al. (1), describes a meta-analysis of two genome-wide association studies (GWAS) of trait depression, a subscale derived from the Revised NEO Personality Inventory. Using eight items from that scale in population-based cohorts not screened for psychiatric illness, the authors seek to identify common variation associated with trait depression-really a predisposition that may indicate risk for mood or anxiety disorders or current symptoms of such disorders. The study builds on a tradition within psychiatric genetics emphasizing the pheno-type, one that long predated the preoccupation with endopheno-types or intermediate phenotypes. The notion is simply that using a more refined understanding of diseases or traits will facilitate identification of risk markers. Although intuitively appealing, it bears noting that even singie-gene deletions may exhibit remarkably pleiotropy (2).
机译:就像狗在街上追着汽车一样,精神遗传学研究人员有时对我们一旦追上猎物就不确定我们将做什么。随着推定的风险基因开始在大规模疾病关联研究中越来越一致地出现,对如何对其进行随访的明确要求变得更加迫切。本期的两篇文章很好地说明了挑战。第一个,由Terracciano等人撰写。 (1)描述了两个关于特质抑制的全基因组关联研究(GWAS)的荟萃分析,这是从修订的NEO人格量表中得出的子量表。作者在未进行精神疾病筛查的基于人群的队列中使用了该规模的八项指标,作者试图确定与特质抑郁相关的常见变异-确实是一种易感性,可能表明存在情绪或焦虑症风险或此类疾病的当前症状。该研究建立在精神遗传学中强调表型的传统之上,该表型早于人们对内表型或中间表型的关注。这个概念只是简单地,使用对疾病或特征的更精细的理解将有助于识别风险标记。尽管从直观上讲很吸引人,但值得注意的是,即使单基因删除也可能表现出显着的多效性(2)。

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