Genetically complex cardiovascular traits. Origins, problems, and potential solutions.
Modern molecular genetic analysis tools are making it possible for researchers to investigate, and in many cases actually disclose, mutations and other genetic factors that contribute to disease susceptibility. However, the ease with which these factors can be identified is dictated by not only the number of factors underlying or influencing the trait, but also by the manner in which these factors interact. Traits that are influenced by multiple genetic and nongenetic factors are termed "complex" genetic traits and are receiving a great deal of attention in the current medical literature. Hypertension and blood pressure regulation are considered paradigmatic complex traits. In this paper, the origin, nature, and dilemmas associated with the analysis of complex traits are considered. Basic biochemical and physiological determinants of blood pressure are described in an effort to show how genetic complexity could arise within an individual, and fundamental concepts in population genetics and evolutionary theory are discussed to expose the reasons certain forms of genetic complexity can emerge and be sustained in the population at large. Methods for approaching the genetic dissection of complex traits and diseases are also enumerated, with simple descriptions of the scientific motivation offered for each. Problems plaguing these approaches are also discussed. Finally, areas for future research are outlined with the hope of sparking further debate on the subject.
Schork
N J
NJ
Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44109-1998, USA. njs2@po.cwru.edu
D001794:Blood Pressure / Q000235:genetics* / Q000502:physiology; D002318:Cardiovascular Diseases / Q000235:genetics / Q000503:physiopathology; D005544:Forecasting; D014644:Genetic Variation; D005828:Genetics, Population; D005838:Genotype; D006801:Humans; D006973:Hypertension / Q000235:genetics* / Q000503:physiopathology; D012106:Research