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基因型与表型的关系何去何从?一项历史与方法学评估。

Whither the genotype-phenotype relationship? An historical and methodological appraisal.

作者信息

Fisch Gene S

机构信息

CUNY/Baruch College, Paul Chook Department of Information Systems & Statistics, New York, New York.

出版信息

Am J Med Genet C Semin Med Genet. 2017 Sep;175(3):343-353. doi: 10.1002/ajmg.c.31571. Epub 2017 Aug 21.

Abstract

More than a century ago, Wilhelm Johannsen proposed the terms "genotype" and "phenotype" to study heredity. Much of what we know about genetics and behavior has evolved since then, especially how causality from genotypes can be inferred from observational studies of phenotypes. Unfortunately, there are genotypes that produce complex clinical-behavioral phenotypes-pleiotropy. In addition, there are often many genotypes that produce the same phenotype, adding a layer of complexity in establishing valid genotype-phenotype relationships. Unlike the relative simplicity of some phenotypes, behavioral phenotypes, especially those characteristics considered aberrant, are multidimensional and often not easily defined operationally. An alternate approach which attempts to identify less evident manifestations below the level of the phenotype but along the pathway to the prospective genotype-endophenotypes-could prove useful in detecting genes that generate these markers. However, operational definitions of intermediate phenotypes vary, less overt neurobiological expressions for some disorders-autism-have not been found, and studies of endophenotypes associated with schizophrenia have been not been very successful. Another approach, suggested by Sewall Wright, uses path analysis to identify causal variables that produce phenotypes. Innovative models of causality have been developed recently by genetic epidemiologists that incorporate Mendel's second law, and Mendelian randomization has been successful in identifying genotypes associated with some diseases, for example, diabetes and cancer. Regrettably, shortcomings regarding genetic markers associated with intermediate phenotypes have been found, although there are statistical procedures to remedy matters. As in any science, genetic researchers need to consider carefully the models of causality they choose.

摘要

一个多世纪以前,威廉·约翰森提出了“基因型”和“表型”这两个术语来研究遗传。从那时起,我们对遗传学和行为的许多认识都有所发展,尤其是如何从表型的观察研究中推断基因型的因果关系。不幸的是,存在一些产生复杂临床行为表型的基因型——基因多效性。此外,通常有许多基因型会产生相同的表型,这在建立有效的基因型 - 表型关系时增加了一层复杂性。与某些表型的相对简单性不同,行为表型,尤其是那些被认为异常的特征,是多维度的,并且通常难以在操作上进行定义。一种替代方法试图在表型水平以下但沿着通向预期基因型的途径识别不太明显的表现形式——内表型——这可能有助于检测产生这些标记的基因。然而,中间表型的操作定义各不相同,尚未发现某些疾病(如自闭症)不太明显的神经生物学表达,并且与精神分裂症相关的内表型研究也不是很成功。另一种由休厄尔·赖特提出的方法,使用路径分析来识别产生表型的因果变量。遗传流行病学家最近开发了创新的因果关系模型,这些模型纳入了孟德尔第二定律,孟德尔随机化已成功识别出与某些疾病(如糖尿病和癌症)相关的基因型。遗憾的是,尽管有统计程序来解决问题,但已发现与中间表型相关的遗传标记存在缺陷。与任何科学一样,基因研究人员需要仔细考虑他们选择的因果关系模型。

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