Genome-wide detection of CNVs associated with beak deformity in chickens using high-density 600K SNP arrays

2018 ◽  
Vol 49 (3) ◽  
pp. 226-236 ◽  
Author(s):  
H. Bai ◽  
Y. Sun ◽  
N. Liu ◽  
Y. Liu ◽  
F. Xue ◽  
...  
Keyword(s):  
High Density ◽  
Snp Arrays ◽  
Genome Wide ◽  
Beak Deformity

scholarly journals Genome-wide linkage analysis of ADHD using high-density SNP arrays: novel loci at 5q13.1 and 14q12

2008 ◽  
Vol 13 (5) ◽  
pp. 522-530 ◽  
Author(s):  
M Romanos ◽  
C Freitag ◽  
C Jacob ◽  
D W Craig ◽  
A Dempfle ◽  
...  
Keyword(s):  
Linkage Analysis ◽  
High Density ◽  
Snp Arrays ◽  
Genome Wide

scholarly journals Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Caiye Zhu ◽  
Hongying Fan ◽  
Zehu Yuan ◽  
Shijin Hu ◽  
Xiaomeng Ma ◽  
...  
Keyword(s):  
High Density ◽  
Snp Arrays ◽  
Indigenous Sheep ◽  
Genome Wide ◽  
Different Types

P6017 A high density genome-wide scan for genetic risk factors of insect bite hypersensitivity (IBH): A Horsegene Project Initiative

2016 ◽  
Vol 94 (suppl_4) ◽  
pp. 156-157
Author(s):  
B. D. Velie ◽  
M. Shrestha ◽  
L. Francois ◽  
A. Schurink ◽  
A. Stinckens ◽  
...  
Keyword(s):  
Risk Factors ◽  
Genetic Risk ◽  
Genetic Risk Factors ◽  
High Density ◽  
Genome Wide ◽  
Insect Bite Hypersensitivity ◽  
Genome Wide Scan

scholarly journals Genome-Wide High-Density SNP Linkage Search for Glioma Susceptibility Loci: Results from the Gliogene Consortium

2011 ◽  
Vol 71 (24) ◽  
pp. 7568-7575 ◽  
Author(s):  
Sanjay Shete ◽  
Ching C. Lau ◽  
Richard S. Houlston ◽  
Elizabeth B. Claus ◽  
Jill Barnholtz-Sloan ◽  
...  
Keyword(s):  
High Density ◽  
Susceptibility Loci ◽  
Genome Wide

scholarly journals Novel genes identified in a high-density genome wide association study for nicotine dependence

2006 ◽  
Vol 16 (1) ◽  
pp. 24-35 ◽  
Author(s):  
Laura Jean Bierut ◽  
Pamela A.F. Madden ◽  
Naomi Breslau ◽  
Eric O. Johnson ◽  
Dorothy Hatsukami ◽  
...  
Keyword(s):  
Association Study ◽  
Nicotine Dependence ◽  
Genome Wide Association Study ◽  
High Density ◽  
Genome Wide Association ◽  
Novel Genes ◽  
Genome Wide

scholarly journals Genome-wide Association of Single-Nucleotide Polymorphisms With Weight Loss Outcomes After Roux-en-Y Gastric Bypass Surgery

2013 ◽  
Vol 98 (6) ◽  
pp. E1131-E1136 ◽  
Author(s):  
Erica S. Rinella ◽  
Christopher Still ◽  
Yongzhao Shao ◽  
G. Craig Wood ◽  
Xin Chu ◽  
...  
Keyword(s):  
Weight Loss ◽  
Gastric Bypass ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Single Nucleotide ◽  
Snp Arrays ◽  
Genome Wide ◽  
Common Genetic Variants ◽  
Weight Loss Outcomes

Context: Roux-en-Y gastric bypass (RYGB) is among the most effective treatments for extreme obesity and obesity-related complications. However, despite its potential efficacy, many patients do not achieve and/or maintain sufficient weight loss. Objective: Our objective was to identify genetic factors underlying the variability in weight loss outcomes after RYGB surgery. Design: We conducted a genome-wide association study using a 2-stage phenotypic extreme study design. Setting: Patients were recruited from a comprehensive weight loss program at an integrated health system. Patients: Eighty-six obese (body mass index >35 kg/m2) patients who had the least percent excess body weight loss (%EBWL) and 89 patients who had the most %EBWL at 2 years after surgery were genotyped using Affymetrix version 6.0 single-nucleotide polymorphism (SNP) arrays. A second group from the same cohort consisting of 164 patients in the lower quartile of %EBWL and 169 from the upper quartile were selected for evaluation of candidate regions using custom SNP arrays. Intervention: We performed RYGB surgery. Main Outcome Measures: We assessed %EBWL at 2 years after RYGB and SNPs. Results: We identified 111 SNPs in the first-stage analysis whose frequencies were significantly different between 2 phenotypic extremes of weight loss (allelic χ2 test P < .0001). Linear regression of %EBWL at 2 years after surgery revealed 17 SNPs that approach P < .05 in the validation stage and cluster in or near several genes with potential biological relevance including PKHD1, HTR1A, NMBR, and IGF1R. Conclusions: This is the first genome-wide association study of weight loss response to RYGB. Variation in weight loss outcomes after RYGB may be influenced by several common genetic variants.

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