Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Schindler, Emily I., Nylen, Erik L., Ko, Audrey C., Affatigato, Louisa M., Heggen, Andrew C., Wang, Kai, Sheffield, Val C., Stone, Edwin M.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
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
_version_ 1782186423978295296
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
work_keys_str_mv AT schindleremilyi deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation
AT nylenerikl deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation
AT koaudreyc deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation
AT affatigatolouisam deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation
AT heggenandrewc deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation
AT wangkai deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation
AT sheffieldvalc deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation
AT stoneedwinm deducingthepathogeniccontributionofrecessiveabca4allelesinanoutbredpopulation