The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster
Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributi...
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| Published in | Nature genetics Vol. 29; no. 4; pp. 389 - 395 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Nature Publishing Group US
01.12.2001
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in addition, sex × genotype interactions may be present for as much as 10% of the
Drosophila
transcriptome. This interpretation is compromised to some extent by statistical issues relating to power and experimental design. Nevertheless, we show that changes in expression as small as 1.2-fold can be highly significant. Genotypic contributions to transcriptional variance may be of a similar magnitude to those relating to some quantitative phenotypes and should be considered when assessing the significance of experimental treatments. |
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| AbstractList | Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in addition, sex x genotype interactions may be present for as much as 10% of the Drosophila transcriptome. This interpretation is compromised to some extent by statistical issues relating to power and experimental design. Nevertheless, we show that changes in expression as small as 1.2-fold can be highly significant. Genotypic contributions to transcriptional variance may be of a similar magnitude to those relating to some quantitative phenotypes and should be considered when assessing the significance of experimental treatments. Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in addition, sex × genotype interactions may be present for as much as 10% of the Drosophila transcriptome. This interpretation is compromised to some extent by statistical issues relating to power and experimental design. Nevertheless, we show that changes in expression as small as 1.2-fold can be highly significant. Genotypic contributions to transcriptional variance may be of a similar magnitude to those relating to some quantitative phenotypes and should be considered when assessing the significance of experimental treatments. Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in addition, sex genotype interactions may be present for as much as 10% of the Drosophila transcriptome. This interpretation is compromised to some extent by statistical issues relating to power and experimental design. Nevertheless, we show that changes in expression as small as 1.2-fold can be highly significant. Genotypic contributions to transcriptional variance may be of a similar magnitude to those relating to some quantitative phenotypes and should be considered when assessing the significance of experimental treatments. Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in addition, sex x genotype interactions may be present for as much as 10% of the Drosophila transcriptome. This interpretation is compromised to some extent by statistical issues relating to power and experimental design. Nevertheless, we show that changes in expression as small as 1.2-fold can be highly significant. Genotypic contributions to transcriptional variance may be of a similar magnitude to those relating to some quantitative phenotypes and should be considered when assessing the significance of experimental treatments.Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in addition, sex x genotype interactions may be present for as much as 10% of the Drosophila transcriptome. This interpretation is compromised to some extent by statistical issues relating to power and experimental design. Nevertheless, we show that changes in expression as small as 1.2-fold can be highly significant. Genotypic contributions to transcriptional variance may be of a similar magnitude to those relating to some quantitative phenotypes and should be considered when assessing the significance of experimental treatments. |
| Audience | Academic |
| Author | White, Kevin P. Riley, Rebecca M. Passador-Gurgel, Gisele Gibson, Greg Wolfinger, Russell D. Jin, Wei |
| Author_xml | – sequence: 1 givenname: Wei surname: Jin fullname: Jin, Wei organization: Department of Genetics, North Carolina State University, Paradigm Genetics – sequence: 2 givenname: Rebecca M. surname: Riley fullname: Riley, Rebecca M. organization: Department of Genetics, North Carolina State University – sequence: 3 givenname: Russell D. surname: Wolfinger fullname: Wolfinger, Russell D. organization: SAS Institute – sequence: 4 givenname: Kevin P. surname: White fullname: White, Kevin P. organization: Department of Genetics, Yale University – sequence: 5 givenname: Gisele surname: Passador-Gurgel fullname: Passador-Gurgel, Gisele organization: Department of Genetics, North Carolina State University – sequence: 6 givenname: Greg surname: Gibson fullname: Gibson, Greg email: ggibson@unity.ncsu.edu organization: Department of Genetics, North Carolina State University |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14159122$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/11726925$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Aging - genetics Aging - physiology Agriculture Analytical methods Animal Genetics and Genomics Animals Biological and medical sciences Biomedical and Life Sciences Biomedicine Cancer Research Drosophila Drosophila melanogaster Drosophila melanogaster - genetics Drosophila melanogaster - physiology Experimental design Female Fundamental and applied biological sciences. Psychology Gene expression Gene Function Genetic aspects Genetics Genotype Human Genetics Male Molecular and cellular biology Molecular genetics Physiological aspects Sex Factors Transcription, Genetic Transcription. Transcription factor. Splicing. Rna processing |
| Title | The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster |
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