SciELO - Scientific Electronic Library Online

 
vol.31 issue4Antioxidant supplementation in female ruminants during the periconceptional period: A reviewSocial behavior and group growth of finishing pigs with divergent social breeding values author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Colombiana de Ciencias Pecuarias

Print version ISSN 0120-0690

Abstract

ZEPEDA BATISTA, José L; CARRILLO DIAZ, María I  and  SAAVEDRA JIMENEZ, Luis A. Sources of bias in genetic association studies in cattle: A review. Rev Colom Cienc Pecua [online]. 2018, vol.31, n.4, pp.256-266. ISSN 0120-0690.  https://doi.org/10.17533/udea.rccp.v31n4a02.

Background:

Genetic association studies have been increasingly used in cattle breeding programs. However, inconsistent results -such as positive, negative, or absence of association- across studies restrain reproducibility and proper implementation, propitiating the occurrence of bias.

Objective:

To identify and classify potential sources of bias and determine possible strategies to avoid it in genetic association studies in cattle.

Source of bias in genetic association studies:

Genetic and genomic sources of bias include effects associated with the gene loci governing expression. Sampling-related and statistical biases are related with factors such as stratification and database size.

Strategies to correct bias in genetic association studies:

Correction strategies differ in nature. Genetic and genomic strategies are based on determining the appropriate approach to obtain and report the genetic information. Sampling-related and statistical strategies are based on grouping individuals with certain traits that lead to a reduction in heterogeneity.

Conclusion:

It is necessary to consider the methodology used in previous studies to establish a hierarchy of sources of bias and facilitate decisions on the use of tools to reduce inconsistencies in the results of future studies.

Keywords : association estimates; genetic bias; genetic improvement; sampling-related bias; statistical bias..

        · abstract in Spanish | Portuguese     · text in English     · English ( pdf )