TY - GEN
T1 - Additive and multiplicative genome-wide association models identify genes associated with growth
AU - Zavala, Cynthia
AU - Serao, Nicola
AU - Villamil, Maria Bonita
AU - Caetano-Anolles, Gustavo
AU - Rodriguez-Zas, Sandra Luisa
PY - 2011
Y1 - 2011
N2 - Standard genome-wide association studies evaluate the association between single nucleotide polymorphisms (SNPs or Genotype G) and phenotype (e.g. growth) conditional on non-SNP covariates including environmental factors (E, e.g. diet) or population stratification, on an additive fashion. For traits known to be the result of genotype-by-environment interactions (GxE), like growth, a multiplicative model could potentially uncover additional SNPs that influence growth on a context-dependent (e.g. diet or breed) fashion. The objective of this study was to assess and compare the performance of context-independent (additive, G+E) and context-dependent (multiplicative, G+E+GxE) models to identify polymorphisms and corresponding genes associated with growth that are context-independent and context-dependent. In addition to single-SNP analysis, a multi-SNP haplotype-based analysis that can increase the precision of the estimates was evaluated for the additive model.
AB - Standard genome-wide association studies evaluate the association between single nucleotide polymorphisms (SNPs or Genotype G) and phenotype (e.g. growth) conditional on non-SNP covariates including environmental factors (E, e.g. diet) or population stratification, on an additive fashion. For traits known to be the result of genotype-by-environment interactions (GxE), like growth, a multiplicative model could potentially uncover additional SNPs that influence growth on a context-dependent (e.g. diet or breed) fashion. The objective of this study was to assess and compare the performance of context-independent (additive, G+E) and context-dependent (multiplicative, G+E+GxE) models to identify polymorphisms and corresponding genes associated with growth that are context-independent and context-dependent. In addition to single-SNP analysis, a multi-SNP haplotype-based analysis that can increase the precision of the estimates was evaluated for the additive model.
UR - http://www.scopus.com/inward/record.url?scp=84856023502&partnerID=8YFLogxK
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U2 - 10.1109/BIBMW.2011.6112527
DO - 10.1109/BIBMW.2011.6112527
M3 - Conference contribution
AN - SCOPUS:84856023502
SN - 9781457716133
T3 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
SP - 975
EP - 977
BT - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
T2 - 2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011
Y2 - 12 November 2011 through 15 November 2011
ER -