Genotype-phenotype correlations in neurogenetics: Lesch-Nyhan disease as a model disorder

Rong Fu, Lrene Ceballos-Picot, Jorres Rosa, Laura E. Larovere, Yasukazu Yamada, Khue V. Nguyen, Mahuri Hegde, Jasper E. Visser, David Schretlen, William L. Nyhan, Juan G. Puig, Patrick J. O'Neill, H. A. Jinnah

Research output: Contribution to journalArticle

Abstract

Establishing meaningful relationships between genetic variations and clinical disease is a fundamental goal for all human genetic disorders. However, these genotype-phenotype correlations remain incompletely characterized and sometimes conflicting for many diseases. Lesch-Nyhan disease is an X-linked recessive disorder that is caused by a wide variety of mutations in the HPRT1 gene. The gene encodes hypoxanthine-guanine phosphoribosyl transferase, an enzyme involved in purine metabolism. The fine structure of enzyme has been established by crystallography studies, and its function can be measured with very precise biochemical assays. This rich knowledge of genetic alterations in the gene and their functional effect on its protein product provides a powerful model for exploring factors that influence genotype-phenotype correlations. The present study summarizes 615 known genetic mutations, their influence on the gene product, and their relationship to the clinical phenotype. In general, the results are compatible with the concept that the overall severity of the disease depends on how mutations ultimately influence enzyme activity. However, careful evaluation of exceptions to this concept point to several additional genetic and non-genetic factors that influence genotype-phenotype correlations. These factors are not unique to Lesch-Nyhan disease, and are relevant to most other genetic diseases. The disease therefore serves as a valuable model for understanding the challenges associated with establishing genotype-phenotype correlations for other disorders.

Original languageEnglish (US)
Pages (from-to)1282-1303
Number of pages22
JournalBrain
Volume137
Issue number5
DOIs
StatePublished - 2014

Fingerprint

Lesch-Nyhan Syndrome
Genetic Association Studies
Inborn Genetic Diseases
Mutation
Genes
Enzymes
Crystallography
Hypoxanthine
Medical Genetics
Guanine
Transferases
Phenotype
Genotype
Proteins
Gene

Keywords

  • genotype-phenotype correlations
  • Lesch-Nyhan disease
  • neurogenetics

ASJC Scopus subject areas

  • Clinical Neurology
  • Arts and Humanities (miscellaneous)

Cite this

Fu, R., Ceballos-Picot, L., Rosa, J., Larovere, L. E., Yamada, Y., Nguyen, K. V., ... Jinnah, H. A. (2014). Genotype-phenotype correlations in neurogenetics: Lesch-Nyhan disease as a model disorder. Brain, 137(5), 1282-1303. https://doi.org/10.1093/brain/awt202

Genotype-phenotype correlations in neurogenetics : Lesch-Nyhan disease as a model disorder. / Fu, Rong; Ceballos-Picot, Lrene; Rosa, Jorres; Larovere, Laura E.; Yamada, Yasukazu; Nguyen, Khue V.; Hegde, Mahuri; Visser, Jasper E.; Schretlen, David; Nyhan, William L.; Puig, Juan G.; O'Neill, Patrick J.; Jinnah, H. A.

In: Brain, Vol. 137, No. 5, 2014, p. 1282-1303.

Research output: Contribution to journalArticle

Fu, R, Ceballos-Picot, L, Rosa, J, Larovere, LE, Yamada, Y, Nguyen, KV, Hegde, M, Visser, JE, Schretlen, D, Nyhan, WL, Puig, JG, O'Neill, PJ & Jinnah, HA 2014, 'Genotype-phenotype correlations in neurogenetics: Lesch-Nyhan disease as a model disorder', Brain, vol. 137, no. 5, pp. 1282-1303. https://doi.org/10.1093/brain/awt202
Fu R, Ceballos-Picot L, Rosa J, Larovere LE, Yamada Y, Nguyen KV et al. Genotype-phenotype correlations in neurogenetics: Lesch-Nyhan disease as a model disorder. Brain. 2014;137(5):1282-1303. https://doi.org/10.1093/brain/awt202
Fu, Rong ; Ceballos-Picot, Lrene ; Rosa, Jorres ; Larovere, Laura E. ; Yamada, Yasukazu ; Nguyen, Khue V. ; Hegde, Mahuri ; Visser, Jasper E. ; Schretlen, David ; Nyhan, William L. ; Puig, Juan G. ; O'Neill, Patrick J. ; Jinnah, H. A. / Genotype-phenotype correlations in neurogenetics : Lesch-Nyhan disease as a model disorder. In: Brain. 2014 ; Vol. 137, No. 5. pp. 1282-1303.
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