scholarly journals Genome-wide association study reveals genetic loci and candidate genes for average daily gain in Duroc pigs

2018 ◽  
Vol 31 (4) ◽  
pp. 480-488 ◽  
Author(s):  
Jianping Quan ◽  
Rongrong Ding ◽  
Xingwang Wang ◽  
Ming Yang ◽  
Yang Yang ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Average Daily Gain ◽  
Genome Wide Association ◽  
Genetic Loci ◽  
Genome Wide ◽  
Daily Gain

Genome-wide association study for feedlot average daily gain in Nellore cattle (Bos indicus )

2014 ◽  
Vol 131 (3) ◽  
pp. 210-216 ◽  
Author(s):  
M.H.A. Santana ◽  
Y.T. Utsunomiya ◽  
H.H.R. Neves ◽  
R.C. Gomes ◽  
J.F. Garcia ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Average Daily Gain ◽  
Bos Indicus ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Nellore Cattle ◽  
Daily Gain

scholarly journals Genome-Wide Association Study of Diabetogenic Adipose Morphology in the GENetics of Adipocyte Lipolysis (GENiAL) Cohort

Cells ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1085
Author(s):  
Veroniqa Lundbäck ◽  
Agné Kulyté ◽  
Peter Arner ◽  
Rona J. Strawbridge ◽  
Ingrid Dahlman
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Functional Evaluation ◽  
Small Interfering Rnas ◽  
Genetic Loci ◽  
Fat Depots ◽  
Genome Wide ◽  
A Genome

An increased adipocyte size relative to the size of fat depots, also denoted hypertrophic adipose morphology, is a strong risk factor for the future development of insulin resistance and type 2 diabetes. The regulation of adipose morphology is poorly understood. We set out to identify genetic loci associated with adipose morphology and functionally evaluate candidate genes for impact on adipocyte development. We performed a genome-wide association study (GWAS) in the unique GENetics of Adipocyte Lipolysis (GENiAL) cohort comprising 948 participants who have undergone abdominal subcutaneous adipose biopsy with a determination of average adipose volume and morphology. The GWAS identified 31 genetic loci displaying suggestive association with adipose morphology. Functional evaluation of candidate genes by small interfering RNAs (siRNA)-mediated knockdown in adipose-derived precursor cells identified six genes controlling adipocyte renewal and differentiation, and thus of potential importance for adipose hypertrophy. In conclusion, genetic and functional studies implicate a regulatory role for ATL2, ARHGEF10, CYP1B1, TMEM200A, C17orf51, and L3MBTL3 in adipose morphology by their impact on adipogenesis.

scholarly journals Multi-Locus Genome-Wide Association Study and Genomic Selection of Kernel Moisture Content at the Harvest Stage in Maize

2021 ◽  
Vol 12 ◽  
Author(s):  
Guangfei Zhou ◽  
Qiuli Zhu ◽  
Yuxiang Mao ◽  
Guoqing Chen ◽  
Lin Xue ◽  
...  
Keyword(s):  
Moisture Content ◽  
Association Study ◽  
Genomic Selection ◽  
Candidate Genes ◽  
Fixed Effects ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Minor Effect ◽  
Genetic Loci ◽  
Genome Wide

Kernel moisture content at the harvest stage (KMC) is an important trait that affects the mechanical harvesting of maize grain, and the identification of genetic loci for KMC is beneficial for maize molecular breeding. In this study, we performed a multi-locus genome-wide association study (ML-GWAS) to identify quantitative trait nucleotides (QTNs) for KMC using an association mapping panel of 251 maize inbred lines that were genotyped with an Affymetrix CGMB56K SNP Array and phenotypically evaluated in three environments. Ninety-eight QTNs for KMC were detected using six ML-GWAS models (mrMLM, FASTmrMLM, FASTmrEMMA, PLARmEB, PKWmEB, and ISIS EM-BLASSO). Eleven of these QTNs were considered to be stable, as they were detected by at least four ML-GWAS models under a uniformed environment or in at least two environments and BLUP using the same ML-GWAS model. With qKMC5.6 removed, the remaining 10 stable QTNs explained <10% of the phenotypic variation, suggesting that KMC is mainly controlled by multiple minor-effect genetic loci. A total of 63 candidate genes were predicted from the 11 stable QTNs, and 10 candidate genes were highly expressed in the kernel at different time points after pollination. High prediction accuracy was achieved when the KMC-associated QTNs were included as fixed effects in genomic selection, and the best strategy was to integrate all KMC QTNs identified by all six ML-GWAS models. These results further our understanding of the genetic architecture of KMC and highlight the potential of genomic selection for KMC in maize breeding.

Sign in / Sign up

Export Citation Format

Share Document