Haploview: analysis and visualization of LD and haplotype maps

Balasmeh

Libyan Journal of Medicine

2017

The present study aimed to identify the NAT2 haplotypes, linkage disequilibrium, and novel NAT2 genetic variants among Jordanian population. We isolated the genomic DNA from 68 healthy, Arab, unrelated Jordanian volunteers to amplify the protein-coding region of NAT2 gene by polymerase chain reaction (PCR). Then, the amplified PCR products were sequenced using Applied Biosystems Model (ABI3730x1). It is found that the allele frequencies of known NAT2 genetic variants 191G>A, 282C>T, 341T>C, 481C>T, 590G>A, and 803A>G were 0.7, 26.5, 48.5, 35.3, 30.9, and 32.4%, respectively. The NAT2 allele frequencies were generally similar to those of white Europeans but different from those of Asian and African populations. The most common NAT2 haplotype was NAT2*5B with a frequency of 29.3%. According to the NAT2 haplotype frequencies, 72% (95% confidence interval 61.4–82.7%) of the volunteers were slow encoding NAT2 haplotype acetylators. The NAT2*5 represented variants 341T>C and 481C>T were in strong but not complete linkage disequilibrium (D′ = 0.8, r 2 = 0.63). In addition, this study found a novel nonsynonymous NAT2 436G>A genetic variant with low frequency (0.7%). However, this novel variant was predicted to be tolerated and not harmful to the NAT2 protein, using in silico prediction tools. It is concluded that the frequency of slow encoding NAT2 haplotype was high among Jordanian volunteers, which may have effects on drug responses and susceptibility to some diseases, such as cancers.

Section: Methodsmentioning

confidence: 99%

Sequence analysis of theN-acetyltransferase 2 gene (NAT2) among Jordanian volunteers

Balasmeh

Libyan Journal of Medicine

2017

“…Estimation of allele frequencies and departures from Hardy-Weinberg equilibrium (HWE) were carried out using the population genetic data analysis software Haploview [77]. Linkage disequilibrium measures were also estimated using Haploview.…”

Section: Methodsmentioning

confidence: 99%

Regulatory polymorphisms in the bovine Ankyrin 1 gene promoter are associated with tenderness and intramuscular fat content

et al. 2010

BackgroundRecent QTL and gene expression studies have highlighted ankyrins as positional and functional candidate genes for meat quality. Our objective was to characterise the promoter region of the bovine ankyrin 1 gene and to test polymorphisms for association with sensory and technological meat quality measures.ResultsSeven novel promoter SNPs were identified in a 1.11 kb region of the ankyrin 1 promoter in Angus, Charolais and Limousin bulls (n = 15 per breed) as well as 141 crossbred beef animals for which meat quality data was available. Eighteen haplotypes were inferred with significant breed variation in haplotype frequencies. The five most frequent SNPs and the four most frequent haplotypes were subsequently tested for association with sensory and technological measures of meat quality in the crossbred population. SNP1, SNP3 and SNP4 (which were subsequently designated regulatory SNPs) and SNP5 were associated with traits that contribute to sensorial and technological measurements of tenderness and texture; Haplotype 1 and haplotype 4 were oppositely correlated with traits contributing to tenderness (P < 0.05). While no single SNP was associated with intramuscular fat (IMF), a clear association with increased IMF and juiciness was observed for haplotype 2.ConclusionThe conclusion from this study is that alleles defining haplotypes 2 and 4 could usefully contribute to marker SNP panels used to select individuals with improved IMF/juiciness or tenderness in a genome-assisted selection framework.

“…Using Haploview [27], EM algorithm was then applied to SNP genotype data to determine the level of linkage disequilibrium (D') observed between markers on the same chromosome. Subsequent comparison of observed D' confidence bounds to a default D' confidence interval, defined as being indicative of significant allelic association by Gabriel et al [25], was undertaken using Haploview [27]. This permitted determination of whether pairs of SNP alleles analysed displayed significant levels of linkage disequilibrium/allelic association, or were able to segregate independently.…”

Section: Methodsmentioning

confidence: 99%

Compilation of a panel of informative single nucleotide polymorphisms for bovine identification in the Northern Irish cattle population

et al. 2010

Background Animal identification is pivotal in governmental agricultural policy, enabling the management of subsidy payments, movement of livestock, test scheduling and control of disease. Advances in bovine genomics have made it possible to utilise inherent genetic variability to uniquely identify individual animals by DNA profiling, much as has been achieved with humans over the past 20 years. A DNA profiling test based on bi-allelic single nucleotide polymorphism (SNP) markers would offer considerable advantages over current short tandem repeat (STR) based industry standard tests, in that it would be easier to analyse and interpret. In this study, a panel of 51 genome-wide SNPs were genotyped across panels of semen DNA from 6 common breeds for the purposes of ascertaining allelic frequency. For SNPs on the same chromosome, the extent of linkage disequilbrium was determined from genotype data by Expectation Maximization (EM) algorithm. Minimum probabilities of unique identification were determined for each breed panel. The usefulness of this SNP panel was ascertained by comparison to the current bovine STR Stockmarks II assay. A statistically representative random sampling of bovine animals from across Northern Ireland was assembled for the purposes of determining the population allele frequency for these STR loci and subsequently, the minimal probability of unique identification they conferred in sampled bovine animals from Northern Ireland. Results 6 SNPs exhibiting a minor allele frequency of less than 0.2 in more than 3 of the breed panels were excluded. 2 Further SNPs were found to reside in coding areas of the cattle genome and were excluded from the final panel. The remaining 43 SNPs exhibited genotype frequencies which were in Hardy Weinberg Equilibrium. SNPs on the same chromosome were observed to have no significant linkage disequilibrium/allelic association. Minimal probabilities of uniquely identifying individual animals from each of the breeds were obtained and were observed to be superior to those conferred by the industry standard STR assay. Conclusions The 43 SNPs characterised herein may constitute a starting point for the development of a SNP based DNA identification test for European cattle.