IFEVA   02662
INSTITUTO DE INVESTIGACIONES FISIOLOGICAS Y ECOLOGICAS VINCULADAS A LA AGRICULTURA
Unidad Ejecutora - UE
artículos
Título:
To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
Autor/es:
CABRERA-BOSQUET, LLORENÇ; TARDIEU, FRANÇOIS; SANCHEZ, ISABELLE; WELCKER, CLAUDE; ALVAREZ PRADO, SANTIAGO; GRAU, ANTONIN; HILGERT, NADINE
Revista:
JOURNAL OF EXPERIMENTAL BOTANY
Editorial:
OXFORD UNIV PRESS
Referencias:
Lugar: Oxford; Año: 2019
ISSN:
0022-0957
Resumen:
Based on case studies, we discuss the extent to which genome-wide association studies are affected by outlier plants, i.e. those deviating from multi-criteria plant distribution. The results depended on the cleaning method. No-cleaning resulted in the highest number of dubious QTLs, especially at loci with highly unbalanced allelic frequencies. A trade-off was identified between the risk of false positive (with no-cleaning and/or a low threshold for minor allele frequency) and the risk of missing interesting rare alleles. Cleaning can lower the latter risk by making acceptable a higher threshold.