Cargando…

Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data

The beta 2 electroencephalogram (EEG) phenotype is used as a quantitative measure related to alcoholism, and evidence of linkage and association has previously been reported in the Collaborative Study on the Genetics of Alcoholism data. In this study, associations between the beta 2 EEG phenotype an...

Descripción completa

Detalles Bibliográficos
Autores principales: Roy-Gagnon, Marie-Hélène, Mathias, Rasika A, Wilson, Alexander F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866727/
https://www.ncbi.nlm.nih.gov/pubmed/16451668
http://dx.doi.org/10.1186/1471-2156-6-S1-S56
_version_ 1782133311175393280
author Roy-Gagnon, Marie-Hélène
Mathias, Rasika A
Wilson, Alexander F
author_facet Roy-Gagnon, Marie-Hélène
Mathias, Rasika A
Wilson, Alexander F
author_sort Roy-Gagnon, Marie-Hélène
collection PubMed
description The beta 2 electroencephalogram (EEG) phenotype is used as a quantitative measure related to alcoholism, and evidence of linkage and association has previously been reported in the Collaborative Study on the Genetics of Alcoholism data. In this study, associations between the beta 2 EEG phenotype and single nucleotide polymorphisms from whole-genome Illumina and Affymetrix panels were investigated with the regression of offspring on mid-parent method to identify significant genetic effects and to estimate their heritability. Separate regressions on father and mother were performed to identify parent-specific effects. Estimates of the heritability of the beta 2 EEG phenotype were 0.68 ± 0.12 and 0.52 ± 0.07 based on father-offspring and mother-offspring pairs, respectively. Significant associations at the 0.0005 level, some of which were parent-specific, were found on chromosomes 1, 2, 5, 6, 7, 8, 11, 12, 15, 16, 17, 18, and 19 with heritability attributable to each SNP ranging from 0.01 to 8%.
format Text
id pubmed-1866727
institution National Center for Biotechnology Information
language English
publishDate 2005
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-18667272007-05-11 Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data Roy-Gagnon, Marie-Hélène Mathias, Rasika A Wilson, Alexander F BMC Genet Proceedings The beta 2 electroencephalogram (EEG) phenotype is used as a quantitative measure related to alcoholism, and evidence of linkage and association has previously been reported in the Collaborative Study on the Genetics of Alcoholism data. In this study, associations between the beta 2 EEG phenotype and single nucleotide polymorphisms from whole-genome Illumina and Affymetrix panels were investigated with the regression of offspring on mid-parent method to identify significant genetic effects and to estimate their heritability. Separate regressions on father and mother were performed to identify parent-specific effects. Estimates of the heritability of the beta 2 EEG phenotype were 0.68 ± 0.12 and 0.52 ± 0.07 based on father-offspring and mother-offspring pairs, respectively. Significant associations at the 0.0005 level, some of which were parent-specific, were found on chromosomes 1, 2, 5, 6, 7, 8, 11, 12, 15, 16, 17, 18, and 19 with heritability attributable to each SNP ranging from 0.01 to 8%. BioMed Central 2005-12-30 /pmc/articles/PMC1866727/ /pubmed/16451668 http://dx.doi.org/10.1186/1471-2156-6-S1-S56 Text en Copyright © 2005 Roy-Gagnon et al; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Roy-Gagnon, Marie-Hélène
Mathias, Rasika A
Wilson, Alexander F
Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
title Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
title_full Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
title_fullStr Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
title_full_unstemmed Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
title_short Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
title_sort application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the coga data
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866727/
https://www.ncbi.nlm.nih.gov/pubmed/16451668
http://dx.doi.org/10.1186/1471-2156-6-S1-S56
work_keys_str_mv AT roygagnonmariehelene applicationoftheregressionofoffspringonmidparentmethodtodetectassociationsbetweensinglenucleotidepolymorphismsandthebeta2electroencephalogramphenotypeinthecogadata
AT mathiasrasikaa applicationoftheregressionofoffspringonmidparentmethodtodetectassociationsbetweensinglenucleotidepolymorphismsandthebeta2electroencephalogramphenotypeinthecogadata
AT wilsonalexanderf applicationoftheregressionofoffspringonmidparentmethodtodetectassociationsbetweensinglenucleotidepolymorphismsandthebeta2electroencephalogramphenotypeinthecogadata