Premium
Whither the genotype‐phenotype relationship? An historical and methodological appraisal
Author(s) -
Fisch Gene S.
Publication year - 2017
Publication title -
american journal of medical genetics part c: seminars in medical genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.419
H-Index - 101
eISSN - 1552-4876
pISSN - 1552-4868
DOI - 10.1002/ajmg.c.31571
Subject(s) - endophenotype , phenotype , mendelian randomization , mendelian inheritance , genotype , causality (physics) , heredity , biology , genetics , pleiotropy , genotype phenotype distinction , psychology , gene , neuroscience , genetic variants , cognition , physics , quantum mechanics
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.