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Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population
Accurate prediction of the pathogenic effects of specific genotypes is important for the design and execution of clinical trials as well as for meaningful counseling of individual patients. However, for many autosomal recessive diseases, it can be difficult to deduce the relative pathogenic contribu...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935854/ https://www.ncbi.nlm.nih.gov/pubmed/20647261 http://dx.doi.org/10.1093/hmg/ddq284 |
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author | Schindler, Emily I. Nylen, Erik L. Ko, Audrey C. Affatigato, Louisa M. Heggen, Andrew C. Wang, Kai Sheffield, Val C. Stone, Edwin M. |
author_facet | Schindler, Emily I. Nylen, Erik L. Ko, Audrey C. Affatigato, Louisa M. Heggen, Andrew C. Wang, Kai Sheffield, Val C. Stone, Edwin M. |
author_sort | Schindler, Emily I. |
collection | PubMed |
description | Accurate prediction of the pathogenic effects of specific genotypes is important for the design and execution of clinical trials as well as for meaningful counseling of individual patients. However, for many autosomal recessive diseases, it can be difficult to deduce the relative pathogenic contribution of individual alleles because relatively few affected individuals share the same two disease-causing variations. In this study, we used multiple regression analysis to estimate the pathogenicity of specific alleles of ABCA4 in patients with retinal phenotypes ranging from Stargardt disease to retinitis pigmentosa. This analysis revealed quantitative allelic effects on two aspects of the visual phenotype, visual acuity (P < 10(−3)) and visual field (P < 10(−7)). Discordance between visual acuity and visual field in individual patients suggests the existence of at least two non-ABCA4 modifying factors. The findings of this study will facilitate the discovery of factors that modify ABCA4 disease and will also aid in the optimal selection of subjects for clinical trials of new therapies. |
format | Text |
id | pubmed-2935854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29358542010-09-13 Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population Schindler, Emily I. Nylen, Erik L. Ko, Audrey C. Affatigato, Louisa M. Heggen, Andrew C. Wang, Kai Sheffield, Val C. Stone, Edwin M. Hum Mol Genet Articles Accurate prediction of the pathogenic effects of specific genotypes is important for the design and execution of clinical trials as well as for meaningful counseling of individual patients. However, for many autosomal recessive diseases, it can be difficult to deduce the relative pathogenic contribution of individual alleles because relatively few affected individuals share the same two disease-causing variations. In this study, we used multiple regression analysis to estimate the pathogenicity of specific alleles of ABCA4 in patients with retinal phenotypes ranging from Stargardt disease to retinitis pigmentosa. This analysis revealed quantitative allelic effects on two aspects of the visual phenotype, visual acuity (P < 10(−3)) and visual field (P < 10(−7)). Discordance between visual acuity and visual field in individual patients suggests the existence of at least two non-ABCA4 modifying factors. The findings of this study will facilitate the discovery of factors that modify ABCA4 disease and will also aid in the optimal selection of subjects for clinical trials of new therapies. Oxford University Press 2010-10-01 2010-07-20 /pmc/articles/PMC2935854/ /pubmed/20647261 http://dx.doi.org/10.1093/hmg/ddq284 Text en © The Author 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Schindler, Emily I. Nylen, Erik L. Ko, Audrey C. Affatigato, Louisa M. Heggen, Andrew C. Wang, Kai Sheffield, Val C. Stone, Edwin M. Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population |
title | Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population |
title_full | Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population |
title_fullStr | Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population |
title_full_unstemmed | Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population |
title_short | Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population |
title_sort | deducing the pathogenic contribution of recessive abca4 alleles in an outbred population |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935854/ https://www.ncbi.nlm.nih.gov/pubmed/20647261 http://dx.doi.org/10.1093/hmg/ddq284 |
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