Trends in Genetics
Use of isolated inbred human populations for identification of disease genes
Section snippets
Genetic complexity
Human diseases can be subdivided into etiologic categories ranging from disorders that are primarily genetic to those that are primarily environmental (Appendix A). In order to design studies aimed at identifying disease-causing genes, it is worthwhile to consider the types of genetic complexity that might be observed and how such complexity can be simplified. A common type of genetic complexity is the result of non-allelic genetic heterogeneity of monogenic disorders. This arises when
Consequences of genetic isolation
Groups that are isolated either physically or culturally are also frequently genetically isolated. Breeding within the group results in disease alleles and disease frequencies that differ from other groups. Inbreeding in our tribal ancestors was very high[22]; however, with the advent of agriculture, greater population density and wider mate selection, there was a world-wide relaxation of inbreeding, leaving this type of mate selection primarily to highly traditional communities. The frequency
Bedouin-Arabs of the Negev
One example of well-studied isolated populations are the Bedouin-Arabs of the Negev region of Israel (Fig. 1). These populations consist of about 90000 individuals, divided into numerous tribes, originating mostly from the nomadic Arabs of the Arabian peninsula desert, about 400 years ago. The Bedouin are Sunnite Muslims and, in spite of experiencing a strong westernization transition during the last decade, still maintain their tribal affiliations and cultural customs. The custom of
Use of novel mapping methods in isolated populations
The recent progress seen in the development of high-quality genetic markers and high-density human genetic maps has facilitated new strategies for mapping disease-causing and disease-susceptibility genes. These strategies, which include homozygosity mapping[40], DNA pooling38, 39and linkage disequilibrium16, 41, can be most successfully applied to disease mapping in genetically isolated populations, especially those in which consanguineous unions are common. Homozygosity mapping is based on the
Polygenic disorders
The use of isolated populations to reduce disease heterogeneity has also proved useful for more complex disorders, and it is this application of isolated populations that might prove most useful in future studies. Puffenberger et al.53, 54used members of an extended Mennonite kindred to map a locus for, and eventually identify, a gene causing Hirschsprung disease. This disorder results in the abnormal innervation of the distal large intestine, displays complex inheritance and is genetically
Limitations of inbred populations for disease-gene mapping
Although inbred populations are a powerful tool for disease-gene searches, their use also has its limitations. Some genetic markers that are highly informative in outbred populations are considerably less informative in an isolated population. This poses much less of a problem with the current availability of multiple, highly polymorphic, short tandem-repeat polymorphic markers. Differences in allele frequency between populations for given markers require that appropriate controls be identified
The use of genetic information
Apart from the contribution to general genetic knowledge, mapping of genes for rare diseases in isolated populations provides the opportunity to benefit the population being studied. Linkage data can be accurately applied for the purposes of early prenatal diagnosis and carrier detection. Clearly, such information needs to be used in a manner appropriate to the culture of the study population. The Negev Bedouin population provides an example whereby the results of molecular genetic research are
Acknowledgements
The authors acknowledge support from the National Institutes of Health. We appreciate the helpful suggestions of anonymous reviewers. We apologize that, owing to space limitations, many additional important articles could not be included in the review.
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