scholarly journals Genome‐wide association study for body weight in cattle populations from Siberia

2019 ◽  
Vol 50 (3) ◽  
pp. 250-253 ◽  
Author(s):  
A. V. Igoshin ◽  
N. S. Yudin ◽  
N. M. Belonogova ◽  
D. M. Larkin
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide

Genome‐wide association study of body weight and conformation traits in neonatal sheep

2020 ◽  
Vol 51 (2) ◽  
pp. 336-340
Author(s):  
L. Tao ◽  
X. Y. He ◽  
L. X. Pan ◽  
J. W. Wang ◽  
S. Q. Gan ◽  
...  
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide

scholarly journals Genome-Wide Association Study of Body Weight in Chicken F2 Resource Population

PLoS ONE ◽  
2011 ◽  
Vol 6 (7) ◽  
pp. e21872 ◽  
Author(s):  
Xiaorong Gu ◽  
Chungang Feng ◽  
Li Ma ◽  
Chi Song ◽  
Yanqiang Wang ◽  
...  
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Resource Population ◽  
Genome Wide

scholarly journals SNPs associated with body weight and backfat thickness in two pig breeds identified by a genome-wide association study

Genomics ◽  
2019 ◽  
Vol 111 (6) ◽  
pp. 1583-1589 ◽  
Author(s):  
Qiang Yang ◽  
Pingxian Wu ◽  
Kai Wang ◽  
Dejuan Chen ◽  
Jie Zhou ◽  
...  
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Backfat Thickness ◽  
Pig Breeds ◽  
Genome Wide ◽  
A Genome

scholarly journals Genome-Wide Association Study for Identifying Loci that Affect Fillet Yield, Carcass, and Body Weight Traits in Rainbow Trout (Oncorhynchus mykiss)

2016 ◽  
Vol 7 ◽  
Author(s):  
Dianelys Gonzalez-Pena ◽  
Guangtu Gao ◽  
Matthew Baranski ◽  
Thomas Moen ◽  
Beth M. Cleveland ◽  
...  
Keyword(s):  
Body Weight ◽  
Rainbow Trout ◽  
Oncorhynchus Mykiss ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Rainbow Trout Oncorhynchus Mykiss ◽  
Genome Wide ◽  
Fillet Yield

scholarly journals Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Wossenie Mebratie ◽  
Henry Reyer ◽  
Klaus Wimmers ◽  
Henk Bovenhuis ◽  
Just Jensen
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Feed Efficiency ◽  
Broiler Chicken ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Chicken Population ◽  
Commercial Broiler

scholarly journals Genome-Wide Association Study Identifies 12 Loci Associated with Body Weight at Age 8 Weeks in Korean Native Chickens

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1170
Author(s):  
Jihye Cha ◽  
Hyojun Choo ◽  
Krishnamoorthy Srikanth ◽  
Seung-Hwan Lee ◽  
Ju-Whan Son ◽  
...  
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Gene Set Enrichment Analysis ◽  
Mitogen Activated Protein Kinase ◽  
Genome Wide Association ◽  
Regulation Of Transcription ◽  
Genome Wide ◽  
Native Chickens

Meat from Korean native chickens (KNCs) has high consumer demand; however, slow growth performance and high variation in body weight (BW) of KNCs remain an issue. Genome-wide association study (GWAS) is a powerful method to identify quantitative trait-associated genomic loci. A GWAS, based on a large-scale KNC population, is needed to identify underlying genetic mechanisms related to its growth traits. To identify BW-associated genomic regions, we performed a GWAS using the chicken 60K single nucleotide polymorphism (SNP) panel for 1328 KNCs. BW was measured at 8 weeks of age, from 2018 to 2020. Twelve SNPs were associated with BW at the suggestive significance level (p < 2.95 × 10−5) and located near or within 11 candidate genes, including WDR37, KCNIP4, SLIT2, PPARGC1A, MYOCD and ADGRA3. Gene set enrichment analysis based on the GWAS results at p < 0.05 (1680 SNPs) showed that 32 Gene Ontology terms and two Kyoto Encyclopedia of Genes and Genomes pathways, including regulation of transcription, motor activity, the mitogen-activated protein kinase signaling pathway, and tight junction, were significantly enriched (p < 0.05) for BW-associated genes. These pathways are involved in cell growth and development, related to BW gain. The identified SNPs are potential biomarkers in KNC breeding.

scholarly journals Bayes factors revealed selection signature for time to market body weight in chicken: a genome-wide association study using BayesCpi methodology

2021 ◽  
Vol 20 (1) ◽  
pp. 1468-1478
Author(s):  
Zeinab Asgari ◽  
Alireza Ehsani ◽  
Ali Akbar Masoudi ◽  
Rasoul Vaez Torshizi
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Bayes Factors ◽  
Genome Wide Association ◽  
Selection Signature ◽  
Time To Market ◽  
Genome Wide ◽  
A Genome

Genome-wide association study of body weight in Wenshang Barred chicken based on the SLAF-seq technology

2018 ◽  
Vol 59 (3) ◽  
pp. 305-312 ◽  
Author(s):  
Fuwei Li ◽  
Haixia Han ◽  
Qiuxia Lei ◽  
Jinbo Gao ◽  
Jie Liu ◽  
...  
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide

scholarly journals Genome-wide association study of delay discounting in 23,217 adult research participants of European ancestry

2017 ◽  
Author(s):  
Sandra Sanchez-Roige ◽  
Pierre Fontanillas ◽  
Sarah L. Elson ◽  
Anita Pandit ◽  
Ellen M. Schmidt ◽  
...  
Keyword(s):  
Body Weight ◽  
Association Study ◽  
Delay Discounting ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
European Ancestry ◽  
Research Participants ◽  
Hyperactivity Disorder ◽  
Genome Wide ◽  
A Genome

ABSTRACTDelay discounting (DD), which is the tendency to discount the value of delayed versus current rewards, is elevated in a constellation of diseases and behavioral conditions. We performed a genome-wide association study of DD using 23,127 research participants of European ancestry. The most significantly associated SNP was rs6528024 (P = 2.40 × 10−8), which is located in an intron of the gene GPM6B. We also showed that 12% of the variance in DD was accounted for by genotype, and that the genetic signature of DD overlapped with attention-deficit/hyperactivity disorder, schizophrenia, major depression, smoking, personality, cognition, and body weight.

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