scholarly journals Genome-wide association analysis identifies the genetic basis of fat deposition in the tails of sheep (Ovis aries )

2017 ◽  
Vol 48 (5) ◽  
pp. 560-569 ◽  
Author(s):  
S.-S. Xu ◽  
X. Ren ◽  
G.-L. Yang ◽  
X.-L. Xie ◽  
Y.-X. Zhao ◽  
...  
Keyword(s):  
Association Analysis ◽  
Genetic Basis ◽  
Fat Deposition ◽  
Ovis Aries ◽  
Genome Wide Association ◽  
Genome Wide Association Analysis ◽  
Genome Wide

25 Gut Microbiome Information Enables Additional Discovery in Genome-wide Association Studies in Swine

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 10-10
Author(s):  
Francesco Tiezzi ◽  
Christian Maltecca
Keyword(s):  
Association Analysis ◽  
Gut Microbiome ◽  
Fat Deposition ◽  
Host Genome ◽  
Genome Wide Association ◽  
Genomic Features ◽  
Genome Wide Association Analysis ◽  
Microbiome Composition ◽  
Genomic Variants ◽  
Genome Wide

Abstract Several studies have highlighted the relevance of gut microbiome composition in shaping fat deposition in mammals. In contrast, other studies have highlighted how the host genome can control the abundance of individual species in the gut microbiota’s make-up. There is the need to incorporate the different ‘-omics’ data (host genome, gut microbiome, high-throughput phenotyping) in a model that allows to extract information beyond the simple sum of each component’s contribution. We propose a systematic approach to detect host genomic variants that control the gut microbiome, which in turn contributes to the host fat deposition, when this latter is based on multiple phenotypic measures. Using a dataset that included longitudinal records of fat deposition on 1,180 pigs, we implemented a mediation test to describe how fat deposition in swine (Sus scrofa) is affected by the host genotype and the gut microbiome. The phenotypic outcome was described both by measured and latent variables, taking advantage of structural equation modeling. We also implemented a ‘traditional’ genome-wide association analysis, testing the (total) effect of host genomic variants on the phenotype. Results for all models were validated using both bootstrapping and permutation tests. The models identified several host genomic features having microbiome-mediated effects on fat deposition. Our work demonstrates how the host genome can affect the phenotypic trait by inducing a change in gut microbiome composition that leads to a change in the phenotype. The host genomic features identified through the mediation analysis do not entirely overlap the group of features identified by traditional GWAS. Microbiome-mediated analyses can help understand the genetic determination of complex phenotypes. The host genomic features that exert a mediated effect could not be identified by traditional genome-wide association analysis. These can contribute to filling the missing heritability gap and provide further insights into the host genome – gut microbiome interplay.

A Caution in Association of ABO Blood Group with COVID-19

2020 ◽  
Keyword(s):  
Gene Cluster ◽  
Clinical Outcomes ◽  
Blood Group ◽  
Association Analysis ◽  
Blood Type ◽  
Genome Wide Association ◽  
Chromosome 3 ◽  
Abo Blood Group ◽  
Genome Wide Association Analysis ◽  
Genome Wide

A comment on Zhao J, Yang Y, Huang H, Li D, Gu D, Lu X, et al. Association of ABO blood group and Covid19 susceptability. medRxiv [PREPRINT]. 2020; https://doi.org/10.1101/2020.03.11.20031096. Zeng X, Fan H, Lu D, Huang F, Meng X, Li Z, et al. Association between ABO blood group and clinical outcomes of Covid19. medRxiv[PREPRINT].2020; https://doi.org/10.1101/2020.04.15.20063107. Zietz M, Tatonetti N. Testing the association between blood type and COVID-19 infection, intubation, and death medRxiv [PREPRINT]. 2020; https://doi.org/10.1101/2020.04.08.20058073. Ellinghaus D, Degenhardt F, Bujanda L, al. e. The ABO blood group and a chromosome 3 gene cluster associate with SRAS-CoV2 respitarory failure in an Italy-Spain genome-wide association analysis. medRxiv. 2020; https://doi.org/10.1101/2020.05.31.20114991.

Genome-wide Association Analysis of Kernel Row Number in Maize

2014 ◽  
Vol 40 (1) ◽  
pp. 1 ◽  
Author(s):  
Huan-Xin ZHANG ◽  
Jian-Feng WENG ◽  
Xiao-Cong ZHANG ◽  
Chang-Lin LIU ◽  
Hong-Jun YONG ◽  
...  
Keyword(s):  
Association Analysis ◽  
Genome Wide Association ◽  
Genome Wide Association Analysis ◽  
Genome Wide ◽  
Kernel Row Number
Sign in / Sign up

Export Citation Format

Share Document