The association of diseases with genes is complex, even among mendelian disorders. A new study shows that mutations in the gene encoding filamin B (FLNB) cause four distinct disorders of human skeletal development.
Mapping a mendelian disorder to a genetic locus is easier than determining the relationships between genes and disorders or between different disorders. Initially, it seemed that the correspondence of diseases to genes would be simple: one gene, one disease. As we have learned from positional cloning efforts, this is often untrue. But, as a new study by Deborah Krakow and colleagues1 illustrates, the reality is far more interesting.
They found that mutations in FLNB, encoding filamin B, which belongs to a family of proteins that act as key regulators of the actin cytoskeleton, underlie four distinct human skeletal disorders1. The implications of this work are many, and two in particular deserve attention.
Different vantage points
From a clinical genetics standpoint, spondylocarpotarsal syndrome (OMIM 272460), Larsen syndrome (OMIM 150250) and atelosteogenesis types I (AOI; OMIM 108720) and III (AOIII; OMIM 108721) are four distinct human disorders. In contrast, a basic scientist may view them as a single disorder of filamin B dysfunction with inconsequential phenotypic differences. Both perspectives are valid, but they may result in incompatible classification schemes that impede a comprehensive understanding of human genetic disease.
The determination of allelism does not supplant phenotypic distinctions. Although AOI and AOIII share some features, the phenotypic distinctions are important. The qualitative differences in phenotypic manifestations that distinguish atelosteogenesis from spondylocarpotarsal and Larsen syndromes tell us something about filamin B biology. This information follows on the heels of a report describing mutations in a related gene, FLNA, as the cause of five distinct disorders in humans2 (otopalatodigital syndromes types I and II, OMIM 311300 and 304120, respectively; Melnick-Needles syndrome, OMIM 309350; periventricular nodular heterotopia, OMIM 300049; and frontometaphyseal dysplasia, OMIM 305620). This is interesting because there are overlapping phenotypic features in the disorders associated with FLNA and FLNB (Fig. 1). Furthermore, Larsen syndrome probably has genetic heterogeneity, as there is an apparent autosomal recessive form of Larsen syndrome as well. This does not mean, however, that there are two clinical types of Larsen syndrome, as we do not know whether individuals with Larsen syndrome associated or not associated with FLNB are phenotypically distinct.
One implication of the destruction of the one gene–one disease model is that we need to develop ways to describe and code affected individuals, both in the clinic and in research studies, that take into account this heterogeneity3. A second implication is that we need to redouble our efforts to understand the relationships of phenotypes to genotypes, to gain biological insight into gene function and to optimally manage and counsel affected individuals.
The road to discovery
The second aspect of the FLNB story that deserves more attention is the method by which it was uncovered. Among the details that will not be readily apparent to the casual reader is the authors' deft use of a skilled group of clinical scientists and a unique resource, the International Skeletal Dysplasia Registry (ISDR). At last count, the registry includes over 12,000 cases of individuals with disorders that fall into 50 diagnostic groups (D. Rimoin, personal communication). One reason that this registry is successful is that it combines clinical service with research archives. The motivation for a clinician to submit cases to the registry is that he or she can receive an expert opinion on the diagnosis (which is useful for medical care and estimating recurrence risks) and, as in the FLNB story, contribute to research. Whereas a lone investigator working on one or a few phenotypes would be much less likely to uncover the etiology of these disorders, the intersection of sharp clinical skills, an extensive archive of cases and the power of positional cloning resulted in discovery.
This is the future of human genetic research. As the low-hanging fruit has been picked, only the rarest and genetically more complex disorders remain, and these cannot be efficiently studied by single investigators working with small, narrowly defined groups of affected individuals. More resources like ISDR need to be assembled, and those resources need to be widely available. Scientists of many disciplines need to be encouraged to draw on the expertise, archives and tissues of the registries to accelerate scientific discovery. In addition, those who invest the enormous resources necessary to build such registries must be supported financially and academically, including academic credit and promotions. The creation and appropriate use of such registries is difficult, which is why there are so few of them. Yet if we wish for these advances to continue, registries like ISDR must be developed and expanded.
The filamin story is just beginning to be unraveled, but it has already provided several useful lessons about the relationships of genes to diseases and the resources necessary to uncover those relationships. No doubt there will be more surprising discoveries about the biology of this system and the relationships of these gene products to human skeletal development.
References
Krakow, D. et al. Nat. Genet. 36, 405–410 (2004).
Robertson, S.P. et al. Nat. Genet. 33, 487–491 (2003).
Robin, N.H. & Biesecker, L.G. Genet. Med. 3, 290–293 (2001).
Taybi, H. & Lachman, R.S. Radiology of Syndromes, Metabolic Disorders, and Skeletal Dysplasias (Mosby, St. Louis, 1996).
Jones, K.L. Smith's Recognizable Patterns of Human Malformation (W B Saunders, Philadelphia, 1997).
Spranger, J.W., Brill, P.W. & Poznanski, A.K. Bone Dysplasias: An Atlas of Genetic Disorders of Skeletal Development. (Oxford University Press, Oxford, 2002).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Biesecker, L. Phenotype matters. Nat Genet 36, 323–324 (2004). https://doi.org/10.1038/ng0404-323
Issue Date:
DOI: https://doi.org/10.1038/ng0404-323
This article is cited by
-
ACO2 clinicobiological dataset with extensive phenotype ontology annotation
Scientific Data (2021)
-
OPA1: 516 unique variants and 831 patients registered in an updated centralized Variome database
Orphanet Journal of Rare Diseases (2019)
-
Text‐based phenotypic profiles incorporating biochemical phenotypes of inborn errors of metabolism improve phenomics‐based diagnosis
Journal of Inherited Metabolic Disease (2018)