Pubblicazione scientifica

Graphics for relatedness research

FILONE TECNOLOGICO	TEMA
produzione e raccolta

RIASSUNTO

Abstract

Studies of relatedness have been crucial in molecular ecology over the last decades. Good evidence of this is the fact that studies of population structure, evolution of social behaviours, genetic diversity and quantitative genetics all involve relatedness research. The main aim of this article was to review the most common graphical methods used in allele sharing studies for detecting and identifying family relationships. Both IBS‐ and IBD‐based allele sharing studies are considered. Furthermore, we propose two additional graphical methods from the field of compositional data analysis: the ternary diagram and scatterplots of isometric log‐ratios of IBS and IBD probabilities. We illustrate all graphical tools with genetic data from the HGDP‐ CEPH diversity panel, using mainly 377 microsatellites genotyped for 25 individuals from the Maya population of this panel. We enhance all graphics with convex hulls obtained by simulation and use these to confirm the documented relationships. The proposed compositional graphics are shown to be useful in relatedness research, as they also single out the most prominent related pairs. The ternary diagram is advocated for its ability to display all three allele sharing probabilities simultaneously. The log‐ratio plots are advocated as an attempt to overcome the problems with the Euclidean distance interpretation in the classical graphics.

DATA

Data di pubblicazione: 12/05/2017

AUTORI

GALVAN‐FEMENIA IVAN
GRAFFELMAN JAN
BARCELO‐I‐VIDAL CARLES

ENTE DI AFFERENZA

Disease Genomics‐GCAT Group Germans Trias Health Research Institute (IGTP)‐Program of Predictive and Personalized Medicine of Cancer (PMPPC) Can Ruti Campus Badalona Barcelona Spain
DEPT COMPUTER SCIENCE APPLIED MATHEMATICS & STATISTICS UNIV GIRONA GIRONA SPAIN
DEPT STATISTICS & OPERATIONS RSCH UNIV POLITECNICA DE CATALUNYA BARCELONA SPAIN
DEPT BIOSTATISTICS UNIV WASHINGTON SEATTLE WA USA

RIVISTA

Molecular Ecology Resources, 17(6), 1271-1282

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