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The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics

There is growing evidence that genetic risk factors for common disease are caused by hereditary changes of gene regulation acting in complex pathways. Clearly understanding the molecular genetic relationships between genetic control of gene expression and its effect on complex diseases is essential....

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Autores principales: Powell, Joseph E., Henders, Anjali K., McRae, Allan F., Caracella, Anthony, Smith, Sara, Wright, Margaret J., Whitfield, John B., Dermitzakis, Emmanouil T., Martin, Nicholas G., Visscher, Peter M., Montgomery, Grant W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338511/
https://www.ncbi.nlm.nih.gov/pubmed/22563384
http://dx.doi.org/10.1371/journal.pone.0035430
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author Powell, Joseph E.
Henders, Anjali K.
McRae, Allan F.
Caracella, Anthony
Smith, Sara
Wright, Margaret J.
Whitfield, John B.
Dermitzakis, Emmanouil T.
Martin, Nicholas G.
Visscher, Peter M.
Montgomery, Grant W.
author_facet Powell, Joseph E.
Henders, Anjali K.
McRae, Allan F.
Caracella, Anthony
Smith, Sara
Wright, Margaret J.
Whitfield, John B.
Dermitzakis, Emmanouil T.
Martin, Nicholas G.
Visscher, Peter M.
Montgomery, Grant W.
author_sort Powell, Joseph E.
collection PubMed
description There is growing evidence that genetic risk factors for common disease are caused by hereditary changes of gene regulation acting in complex pathways. Clearly understanding the molecular genetic relationships between genetic control of gene expression and its effect on complex diseases is essential. Here we describe the Brisbane Systems Genetics Study (BSGS), a family-based study that will be used to elucidate the genetic factors affecting gene expression and the role of gene regulation in mediating endophenotypes and complex diseases. BSGS comprises of a total of 962 individuals from 314 families, for which we have high-density genotype, gene expression and phenotypic data. Families consist of combinations of both monozygotic and dizygotic twin pairs, their siblings, and, for 72 families, both parents. A significant advantage of the inclusion of parents is improved power to disentangle environmental, additive genetic and non-additive genetic effects of gene expression and measured phenotypes. Furthermore, it allows for the estimation of parent-of-origin effects, something that has not previously been systematically investigated in human genetical genomics studies. Measured phenotypes available within the BSGS include blood phenotypes and biochemical traits measured from components of the tissue sample in which transcription levels are determined, providing an ideal test case for systems genetics approaches. We report results from an expression quantitative trait loci (eQTL) analysis using 862 individuals from BSGS to test for associations between expression levels of 17,926 probes and 528,509 SNP genotypes. At a study wide significance level approximately 15,000 associations were observed between expression levels and SNP genotypes. These associations corresponded to a total of 2,081 expression quantitative trait loci (eQTL) involving 1,503 probes. The majority of identified eQTL (87%) were located within cis-regions.
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spelling pubmed-33385112012-05-04 The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics Powell, Joseph E. Henders, Anjali K. McRae, Allan F. Caracella, Anthony Smith, Sara Wright, Margaret J. Whitfield, John B. Dermitzakis, Emmanouil T. Martin, Nicholas G. Visscher, Peter M. Montgomery, Grant W. PLoS One Research Article There is growing evidence that genetic risk factors for common disease are caused by hereditary changes of gene regulation acting in complex pathways. Clearly understanding the molecular genetic relationships between genetic control of gene expression and its effect on complex diseases is essential. Here we describe the Brisbane Systems Genetics Study (BSGS), a family-based study that will be used to elucidate the genetic factors affecting gene expression and the role of gene regulation in mediating endophenotypes and complex diseases. BSGS comprises of a total of 962 individuals from 314 families, for which we have high-density genotype, gene expression and phenotypic data. Families consist of combinations of both monozygotic and dizygotic twin pairs, their siblings, and, for 72 families, both parents. A significant advantage of the inclusion of parents is improved power to disentangle environmental, additive genetic and non-additive genetic effects of gene expression and measured phenotypes. Furthermore, it allows for the estimation of parent-of-origin effects, something that has not previously been systematically investigated in human genetical genomics studies. Measured phenotypes available within the BSGS include blood phenotypes and biochemical traits measured from components of the tissue sample in which transcription levels are determined, providing an ideal test case for systems genetics approaches. We report results from an expression quantitative trait loci (eQTL) analysis using 862 individuals from BSGS to test for associations between expression levels of 17,926 probes and 528,509 SNP genotypes. At a study wide significance level approximately 15,000 associations were observed between expression levels and SNP genotypes. These associations corresponded to a total of 2,081 expression quantitative trait loci (eQTL) involving 1,503 probes. The majority of identified eQTL (87%) were located within cis-regions. Public Library of Science 2012-04-26 /pmc/articles/PMC3338511/ /pubmed/22563384 http://dx.doi.org/10.1371/journal.pone.0035430 Text en Powell et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Powell, Joseph E.
Henders, Anjali K.
McRae, Allan F.
Caracella, Anthony
Smith, Sara
Wright, Margaret J.
Whitfield, John B.
Dermitzakis, Emmanouil T.
Martin, Nicholas G.
Visscher, Peter M.
Montgomery, Grant W.
The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics
title The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics
title_full The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics
title_fullStr The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics
title_full_unstemmed The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics
title_short The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics
title_sort brisbane systems genetics study: genetical genomics meets complex trait genetics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338511/
https://www.ncbi.nlm.nih.gov/pubmed/22563384
http://dx.doi.org/10.1371/journal.pone.0035430
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