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Emma Hine
Emma Hine
Verified email at uq.edu.au
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Cited by
Cited by
Year
Orientation of the genetic variance-covariance matrix and the fitness surface for multiple male sexually selected traits
MW Blows, SF Chenoweth, E Hine
The American Naturalist 163 (3), 329-340, 2004
2672004
Determining the effective dimensionality of the genetic variance–covariance matrix
E Hine, MW Blows
Genetics 173 (2), 1135-1144, 2006
1392006
Multivariate quantitative genetics and the lek paradox: genetic variance in male sexually selected traits of Drosophila serrata under field conditions
E Hine, SF Chenoweth, MW Blows
Evolution 58 (12), 2754-2762, 2004
1272004
Comparing G: multivariate analysis of genetic variation in multiple populations
JD Aguirre, E Hine, K McGuigan, MW Blows
Heredity 112 (1), 21-29, 2014
1212014
Positive genetic correlation between female preference and offspring fitness
E Hine, S Lachish, M Higgie, MW Blows
Proceedings of the Royal Society of London B: Biological Sciences 269 (1506 …, 2002
1102002
Characterizing the evolution of genetic variance using genetic covariance tensors
E Hine, SF Chenoweth, HD Rundle, MW Blows
Philosophical Transactions of the Royal Society of London B: Biological …, 2009
922009
Natural selection stops the evolution of male attractiveness
E Hine, K McGuigan, MW Blows
Proceedings of the National Academy of Sciences 108 (9), 3659-3664, 2011
912011
Natural selection stops the evolution of male attractiveness
E Hine, K McGuigan, MW Blows
Proceedings of the National Academy of Sciences 108 (9), 3659-3664, 2011
912011
Adult Survivorship of the Dengue Mosquito Aedes aegypti Varies Seasonally in Central Vietnam
LE Hugo, JAL Jeffery, BJ Trewin, LF Wockner, N Thi Yen, NH Le, ...
PLoS neglected tropical diseases 8 (2), e2669, 2014
742014
Evolutionary constraints in high-dimensional trait sets
E Hine, K McGuigan, MW Blows
The American Naturalist 184 (1), 119-131, 2014
612014
HIGH‐DIMENSIONAL VARIANCE PARTITIONING REVEALS THE MODULAR GENETIC BASIS OF ADAPTIVE DIVERGENCE IN GENE EXPRESSION DURING REPRODUCTIVE CHARACTER DISPLACEMENT
EA McGraw, YH Ye, B Foley, SF Chenoweth, M Higgie, E Hine, MW Blows
Evolution 65 (11), 3126-3137, 2011
182011
The contribution of mutation and selection to multivariate quantitative genetic variance in an outbred population of Drosophila serrata
RJ Dugand, JD Aguirre, E Hine, MW Blows, K McGuigan
Proceedings of the National Academy of Sciences 118 (31), e2026217118, 2021
162021
Uneven Distribution of Mutational Variance Across the Transcriptome of Drosophila serrata Revealed by High-Dimensional Analysis of Gene Expression
E Hine, DE Runcie, K McGuigan, MW Blows
Genetics 209 (4), 1319-1328, 2018
152018
Effects of SCA1, MJD, and DPRLA triplet repeat polymorphisms on cognitive phenotypes in a normal population of adolescent twins
M Luciano, E Hine, MJ Wright, DL Duffy, J MacMillan, NG Martin
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 144 …, 2007
52007
Maintenance of quantitative genetic variance in complex, multitrait phenotypes: the contribution of rare, large effect variants in 2 Drosophila species
E Hine, DE Runcie, SL Allen, Y Wang, SF Chenoweth, MW Blows, ...
Genetics 222 (2), iyac122, 2022
12022
Mutation-Selection Balance and the evolution of genetic variance in multiple male sexually-selected pheromones of the vinegar fly Drosophila serrata
E Hine
12009
R code and input files required to generate figures and tables for BSFG analysis of standing variance in two Drosophila datasets. This dataset is the current version and …
E Hine, DE Runcie, SL Allen, Y Wang, SF Chenoweth, MW Blows, ...
The University of Queensland, 2021
2021
Enrichment analysis results for heritable common factors of Drosophila gene expression
E Hine, DE Runcie, SL Allen, Y Wang, SF Chenoweth, MW Blows, ...
The University of Queensland, 2021
2021
Two Drosophila datasets used in the Bayesian sparse factor analysis of standing genetic variance in 3385 gene expression traits
E Hine, DE Runcie, SL Allen, Y Wang, SF Chenoweth, MW Blows, ...
The University of Queensland, 2021
2021
R code used to implement Bayesian sparse factor genetic analysis of Drosophila gene expression.
E Hine, DE Runcie, SL Allen, Y Wang, SF Chenoweth, MW Blows, ...
The University of Queensland, 2021
2021
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