Association of Porcine IGF Binding Protein-5 Gene with Meat Quality

IGFBP-5 is a member of the IGF families. Using PCR-SSCP, genotypic and allelic frequencies were analyzed in 18 pig breeds (n = 600). The association between haplotypes and production performance was analyzed in a Jinhua × Pietrain population family (n = 212, total 24 traits). Two SNPs (T199C and G485A) within the gene were analyzed. The breeds had different genotypic and allelic frequencies. Typically, the Chinese native pig breeds carried a higher allele C and G frequency (over 50%) than those of the European pigs, and only Guangdong Large White and wild boar were at Hardy–Weinberg equilibrium. The pigs carrying the CG haplotype had higher hue, loin, and thigh pH1 values than pigs with the TA haplotype, and pigs with the TA haplotype had the lowest loin pH2 value and highest color-a value among the haplotypes. It is proposed that the IGFBP-5 gene is associated with the variation in meat quality, especially in pH value together with other QTLs on chromosome 15.     

Geographic and host‐mediated population genetic structure in a cestode parasite of the three‐spined stickleback

Comparative studies of genetic diversity and population structure can shed light on the ecological and evolutionary factors that influence host–parasite interactions. Here we examined whether geography, time and genetic variation in Alaskan three‐spined stickleback (Gasterosteus aculeatus Linneaus) hosts shape the population genetic structure of the diphyllobothridean cestode parasite Schistocephalus solidus (Müller, 1776). Host lineages and haplotypes were identified by sequencing the mitochondrial cytochrome b gene, and host population structure was assessed by Bayesian clustering analysis of allelic variation at 11 microsatellite loci. Parasite population structure was characterized according to allelic variation at eight microsatellite loci. Mantel tests and canonical redundancy analysis were conducted to evaluate the proportion of parasite genetic variation attributable to time and geography vs. host lineage, haplotype, and genotypic cluster. Host and parasite population structure were largely discordant across the study area, probably reflecting differences in gene flow, environmental influences external to the host, and genomic admixture among host lineages. We found that geography explained the greatest proportion of parasite genetic variation, but that variation also reflects time, host lineage, and host haplotype. Associations with host haplotypes suggest that one parasite genotypic cluster exhibits a narrower host range, predominantly infecting the most common host haplotypes, whereas the other parasite cluster infects all haplotypes equally, including rare haplotypes. Although experimental infection trials might prove otherwise, distributional differences in hosts preferentially infected by S. solidus could underlie the observed pattern of population structure.     

Association of ALOX5AP with ischemic stroke: a population-based case-control study

Arachidonate 5-lipoxygenase activating protein (ALOX5AP) has been reported to demonstrate linkage and association with ischemic stroke and myocardial infarction. However, replication studies have been conflicting and to date, a significant proportion of blacks have not been studied. We prospectively recruited cases of ischemic stroke from all 16 hospitals in the Greater Cincinnati/Northern Kentucky region and demographically matched them to stroke-free population-based controls. Single nucleotide polymorphisms (SNPs) were selected based on association with ischemic stroke in prior studies. Allelic, genotypic and haplotypic association testing was performed using HAPLOVIEW. Multiple logistic regression was used to control for the presence of traditional risk factors including hypertension, diabetes, hypercholesterolemia and smoking. A total of 357 cases and 482 controls were genotyped. The SNPs, rs9579646 and rs4769874 were found to be significantly associated at both allelic (P = 0.019 and P < 10⁻⁴, respectively) and genotypic level with ischemic stroke among whites after correction for multiple testing. Haplotype association was identified with ischemic stroke as well as ischemic stroke subtypes among whites. Although an overall haplotype association with ischemic stroke was identified among blacks no evidence of association among individual haplotypes, alleles or genotypes were observed. Allele frequencies for the SNPs examined were markedly different among whites and blacks. In conclusion, we report significant association of variants of ALOX5AP with ischemic stroke and ischemic stroke subtypes among whites. No significant association was identified among blacks.     

Comparison of the accuracy of methods of computational haplotype inference using a large empirical dataset

Background  

Analyses of genetic data at the level of haplotypes provide increased accuracy and power to infer genotype-phenotype correlations and evolutionary history of a locus. However, empirical determination of haplotypes is expensive and laborious. Therefore, several methods of inferring haplotypes from unphased genotypic data have been proposed, but it is unclear how accurate each of the methods is or which methods are superior. The accuracy of some of the leading methods of computational haplotype inference (PL-EM, Phase, SNPHAP, Haplotyper) are compared using a large set of 308 empirically determined haplotypes based on 15 SNPs, among which 36 haplotypes were observed to occur. This study presents several advantages over many previous comparisons of haplotype inference methods: a large number of subjects are included, the number of known haplotypes is much smaller than the number of chromosomes surveyed, a range in values of linkage disequilibrium, presence of rare SNP alleles, and considerable dispersion in the frequencies of haplotypes.     

Functional allelic diversity of the apple alcohol acyl-transferase gene <Emphasis Type="Italic">MdAAT1</Emphasis> associated with fruit ester volatile contents in apple cultivars

Flavour is an important key factor of apple (Malus × domestica Borkh.) fruit quality, and its improvement is an important but complex breeding goal. Acetate esters are quantitatively the most important volatile compounds in apple fruit, and only a few of them dominate the typical aroma of a cultivar. Alcohol acyl-transferase (AAT) is a key enzyme involved in the last step of ester biosynthesis. The aim of this study was to target single nucleotide polymorphisms (SNPs) in an AAT candidate gene genetically associated with ester quantitative trait loci (QTL), to enable functional marker development for marker-assisted apple breeding programs. The AAT gene inventory of apple was characterized by in-silico mining of the assembled Golden Delicious genome, and 17 putative AAT genes in total were defined. MdAAT1 located on chromosome 2 was selected as the main candidate gene associated with QTL for different acetate esters, and its allelic diversity was assessed by direct amplicon sequencing in a collection of 102 apple cultivars characterized for ester volatile profiles. Sequencing a 468 bp nucleotide sequence of the MdAAT1 coding region resulted in the detection of four SNPs. In total, 18 different SNP haplotypes/heterozygous patterns were generated from the four SNPs identified within the apple collection. Association analyses resulted in highly significant associations of both individual SNPs and distinct haplotypes with the content of four acetate esters, including hexyl acetate, butyl acetate and 2-methyl-butyl acetate. About a third (31) of the 102 apple cultivars possessed the specific MdAAT1 haplotype H1 (C-A-C-A) and were characterized by strongly decreased ester concentrations. The contrasting H8 haplotype (T-G-T-G) was found in 28 varieties but was associated with normal to elevated ester concentrations. The observed association suggests a putative causal functional relationship between MdAAT1 and production of key apple esters.     

Evaluation of a SNP map of 6q24–27 confirms diabetic nephropathy loci and identifies novel associations in type 2 diabetes patients with nephropathy from an African-American population

Previously, we performed a genome scan for type 2 diabetes (T2DM) using 638 African-American (AA) affected sibling pairs from 247 families; non-parametric linkage analysis suggested evidence of linkage at 6q24–27 (LOD 2.26). To comprehensively evaluate this region, we performed a two-stage association study by first constructing a SNP map of 754 SNPs selected from HapMap on the basis of linkage disequilibrium (LD) in 300 AAT2DM end-stage renal disease (ESRD) subjects, 311 AA controls, 43 European American controls and 45 Yoruba Nigerian samples (Set 1). Replication analyses were conducted in an independent population of 283 AA T2DM-ESRD subjects and 282 AA controls (Set 2). In addition, we adjusted for the impact of admixture on association results by using ancestry informative markers (AIMs). In Stage 1, 137 (18.2%) SNPs showed nominal evidence of association (P < 0.05) in one or more of tests of association: allelic (n = 33), dominant (n = 36), additive (n = 29), or recessive (n = 34) genotypic models, and 2- (n = 47) and 3-SNP (n = 43) haplotypic analyses. These SNPs were selected for follow-up genotyping. Stage 2 analyses confirmed association with a predicted 2-SNP “risk” haplotype in the PARK2 gene. Also, two intergenic SNPs showed consistent genotypic association with T2DM-ESRD: rs12197043 and rs4897081. Combined analysis of all subjects from both stages revealed nominal associations with 17 SNPs within genes, including suggestive associations in ESR1 and PARK2. This study confirms known diabetic nephropathy loci and identifies potentially novel susceptibility variants located within 6q24–27 in AA. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Association of single nucleotide polymorphism variations in CRYAA and CRYAB genes with congenital cataract in Pakistani population

BackgroundThe purpose of present study was to analyze the association of single nucleotide polymorphism (SNPs) variant in CRYAA and CRYAB genes with Congenital Cataract.MethodTotal 196 blood samples of children were collected, out of which 102 samples were congenital cataract (case group) and 94 samples were normal individuals (control group). Genomic DNA was extracted by using optimized inorganic method. Tetra primers for SNPs were designed and TETRA-ARMs assay was performed on both groups. Genotypic, allelic frequency and haplotype analyses were obtained by using SNPstats software.ResultsThe coordination of genotypic and allelic frequencies of CRYAA and CRYAB genes variants and the association between case and control groups showed increased risk of congenital cataract in children who contained rs13053109 G > C variant of CRYAA in all models (all P > 0.05). This depicts the evident difference between the frequencies of case and control groups. The haplotype analysis of SNPs rs3761382, rs7278468 and rs13051039 of CRYAA gene showed weak linkage disequilibrium between the 3 SNPs (r² < 0.8). The haplotype CTC indicated the high risk of congenital cataract in infants based of its p value (OR = 1.60 95% CI = 0.11–22.64, P > 0.05).ConclusionThe variation in CRYAA gene can be the risk factor for congenital cataract in infants.     

Chromosome Location and Association of Haplotypes of Insulin-like Growth Factor Binding Protein-2 with Production Performance in Swine

Insulin-like growth factor binding protein-2 is a member of the insulin-like growth factor families. Using a porcine RH panel, the gene was mapped on chromosome 15q22-23. Meanwhile, using polymerase chain reaction single strand conformation polymorphism, genotypic and allelic frequencies were analyzed in 17 pig breeds (total animals 570), together with a chi-square test of Hardy-Weinberg equilibrium. Also the association between haplotypes and production performance was analyzed in a Lantang x Landrace population family (n = 133, total 43 traits). At each locus we investigated, all the breeds showed different genotypic and allelic frequency distributions. In general, the Chinese native pig breeds carried a higher allele A frequency (over 50%) than the European pigs. For production performance, pigs with the CAG haplotype had higher fore-body and rear-body weight than those with the TGT and TAG haplotypes (P < 0.05). Also, pigs with the CAG haplotype had higher bone weight of the rear-body than those with the CAT haplotype (P < 0.05); pigs with the TGT and CAG haplotypes had higher forelimb and rearlimb weight than those with the CAT haplotype (P < 0.01 and P < 0.05, respectively); pigs with the TGG haplotype had higher leaf fat weight than those with the TGT and CAG haplotypes (P < 0.05); and pigs with the CAG haplotype had more stomach weight than those with the CAT and CGT haplotypes (P < 0.01); pigs with the TGT and CAG haplotypes had more ribs and longer body than those with the CGT-TGG, and CAT-TAG haplotypes (P < 0.05). These results suggest that IGFBP-2 is associated with production performance, but our population family was small. More studies with large samples are needed before the IGFBP-2 locus will be useful for a selection program.     

Common CFTR gene variants influence body composition and survival in rural Ghana

Various studies in mice have found support for the hypothesis that heterozygous carriers of cystic fibrosis transmembrane conductance regulator (CFTR) mutations have an increased resistance to fatal infection compared to both homozygous mutation carriers and non-carriers, while in humans such evidence is scarce. In this study, we assessed the CFTR heterozygotes survival advantage hypothesis in a contemporary rural population that lives under adverse environmental conditions in the Upper-East region of Ghana. We genotyped 30 SNPs throughout the CFTR gene in 4,230 participants and tested their influence on survival and on body composition in the population at large. With a sliding-window haplotype analysis, we identified a set of six common haplotypes that influenced survival probabilities (global p = 6.00 × 10⁻⁰⁵). Individual haplotype analyses revealed two haplotypes of specific interest. One of these haplotypes was enriched (p = 0.003), whereas the other was depleted (p = 0.041) among people of old age (≥65 years) compared to young study participants (≤5 years). In addition, children (n = 474) carrying the latter haplotype had lower body weight (p _trend = 0.020) and height (p _trend = 0.010) compared to non-carriers. For all these analyses, similar associations for heterozygous and homozygous CFTR haplotype carriers were observed, revealing an additive effect of haplotype alleles. In conclusion, we identified common haplotypes in the CFTR gene that influence survival and body composition in the population at large with no evidence for heterozygote advantage.     

Genetic diversity of Chinese cattle revealed by Y‐SNP and Y‐STR markers

With its vast territory and complex natural environment, China boasts rich cattle genetic resources. To gain the further insight into the genetic diversity and paternal origins of Chinese cattle, we analyzed the polymorphism of Y‐SNPs (UTY19 and ZFY10) and Y‐STRs (INRA189 and BM861) in 34 Chinese cattle breeds/populations, including 606 males representative of 24 cattle breeds/populations collected in this study as well as previously published data for 302 bulls. Combined genotypic data identified 14 Y‐chromosome haplotypes that represented three haplogroups. Y2‐104‐158 and Y2‐102‐158 were the most common taurine haplotypes detected mainly in northern and central China, whereas the indicine haplotype Y3‐88‐156 predominates in southern China. Haplotypes Y2‐108‐158, Y2‐110‐158, Y2‐112‐158 and Y3‐92‐156 were private to Chinese cattle. The population structure revealed by multidimensional scaling analysis differentiated Tibetan cattle from the other three groups of cattle. Analysis of molecular variance showed that the majority of the genetic variation was explained by the genetic differences among groups. Overall, our study indicates that Chinese cattle retain high paternal diversity (H = 0.607 ± 0.016) and probably much of the original lineages that derived from the domestication center in the Near East without strong admixture from commercial cattle carrying Y1 haplotypes.     

TLR4 and TLR9 polymorphisms are not associated with either rheumatoid arthritis or systemic lupus erythematosus in Mexican patients

Toll-like receptor (TLR)-mediated signaling pathways induce a proinflammatory microenvironment to eradicate pathogens. However, in rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE), TLRs can promote chronic inflammation. It has been shown that some TLR4 and TLR9 single nucleotide polymorphisms (SNPs) are risk factors for RA and SLE, but these findings have not been replicated in all populations; thus, results are inconclusive. We evaluated the TLR4 Asp299Gly, Thr399Ile,???1892G/A SNPs, and the TLR9 Pro545Pro SNP to assess potential associations with RA and SLE in Mexican patients. This study included 474 patients with RA, 283 patients with SLE, and 424 healthy controls. We used a 5′ nuclease allelic discrimination assay to genotype individuals for the four TLR4 and TLR9 polymorphisms. We found that the genotype or allelic frequencies of the TLR4 Asp299Gly, Thr399Ile,???1892G/A, and TLR9 Pro545Pro polymorphisms were similar between patients and controls. We found no association under different genetic models. A haplotype analysis of TLR4 showed no association with either RA or SLE. We found no significant differences in the allelic or genotypic frequencies of TLR4 Asp299Gly, Thr399IIe,???1892G/A, or TLR9 Pro545Pro between patients and controls. These findings suggested that these variants are not risk factors for RA or SLE in Mexican patients.

     

SYNE1-QK1 SNPs,G × G and G × E interactions on the risk of hyperlipidaemia

This study aimed to assess the relationship of 3 spectrin repeat containing nuclear envelope protein 1 (SYNE1) and 4 KH domain containing RNA binding (QK1) single nucleotide polymorphisms (SNPs), their haplotypes, gene-gene (G × G), gene-environment (G × E) interactions and hypercholesterolaemia (HCH) and hypertriglyceridaemia (HTG) in the Chinese Maonan minority. The genetic make-up of the SYNE1-QK1 SNPs in 1932 unrelated subjects (normal, 641; HCH, 649; and HTG, 642) was obtained by next-generation sequencing technologies. The genotypic frequencies of following SNPs were suggestively distinctive between the control and HCH groups (rs2623963, rs7745725, rs9459317, rs16897566), or between the control and HTG groups (rs2623963, rs1358317, rs7745725, rs1923608, rs16897566 SNPs; P < .05, respectively). Multiple-locus linkage disequilibrium analysis indicated that the identified SNPs were not inherited independently. Several haplotypes and gene-gene interaction haplotypes among the detected SNPs may be related with an increased morbidity of HCH (C-G-A, C-G-G and C-G-G-T-C-A-T) and HTG (C-G-G, G-T-G-C, C-G-G-G-T-G-C and C-G-G-T-C-A-T), whereas others may be related with an decreased risk of HCH (G-A-A, G-C-A-T, C-A-A-T-C-A-T and G-A-A-G-C-A-T) and HTG (G-A-A, G-C-A-T, C-A-A-T-C-A-T and G-A-A-G-C-A-T). The association evaluation based on haplotypes and gene-gene interactions could improve the power of detecting the risk of dyslipidaemia than anyone of SNP alone. There was significant three-locus model involving SNP-SNP, haplotype-haplotype/environment and G × G interactions (P < .05-0.001) that were detected by GMDR in HCH and HTG groups. Different interactions between genetic and environmental factors would produce different redundancy or synergy effects on the morbidity of HCH and/or HTG.     

A double classification tree search algorithm for index SNP selection

Background  

In population-based studies, it is generally recognized that single nucleotide polymorphism (SNP) markers are not independent. Rather, they are carried by haplotypes, groups of SNPs that tend to be coinherited. It is thus possible to choose a much smaller number of SNPs to use as indices for identifying haplotypes or haplotype blocks in genetic association studies. We refer to these characteristic SNPs as index SNPs. In order to reduce costs and work, a minimum number of index SNPs that can distinguish all SNP and haplotype patterns should be chosen. Unfortunately, this is an NP-complete problem, requiring brute force algorithms that are not feasible for large data sets.     

SNP/haplotype associations in cytokine and cytokine receptor genes and immunity to rubella vaccine

An effective immune response to vaccination is, in part, a complex interaction of alleles of multiple genes regulating cytokine networks. We conducted a genotyping study of Th1/Th2/inflammatory cytokines/cytokine receptors in healthy children (n = 738, 11–19 years) to determine associations between individual single-nucleotide polymorphisms (SNPs)/haplotypes and immune outcomes after two doses of rubella vaccine. SNPs (n = 501) were selected using the ldSelect-approach and genotyped using Illumina GoldenGate™ and TaqMan assays. Rubella-IgG levels were measured by immunoassay and secreted cytokines by ELISA. Linear regression and post hoc haplotype analyses were used to determine associations between single SNPs/haplotypes and immune outcomes. Increased carriage of minor alleles for the promoter SNPs (rs2844482 and rs2857708) of the TNFA gene were associated with dose-related increases in rubella antibodies. IL-6 secretion was co-directionally associated (p ≤ 0.01) with five intronic SNPs in the TNFRSF1B gene in an allele dose-related manner, while five promoter/intronic SNPs in the IL12B gene were associated with variations in IL-6 secretion. TNFA haplotype AAACGGGGC (t-statistic = 3.32) and IL12B promoter haplotype TAG (t-statistic = 2.66) were associated with higher levels of (p ≤ 0.01) rubella-IgG and IL-6 secretion, respectively. We identified individual SNPs/haplotypes in TNFA/TNFRSF1B and IL12B genes that appear to modulate immunity to rubella vaccination. Identification of such “genetic fingerprints” may predict the outcome of vaccine response and inform new vaccine strategies.     

Genetic variants of IL6 gene promoter influence on C-reactive protein levels but are not associated with susceptibility to invasive pulmonary aspergillosis in haematological patients

Several lines of evidence indicate that IL6 plays a major role in the pathogenesis of a number of infectious diseases. The purpose of this study was to determine whether IL6 promoter polymorphisms were genetic markers of susceptibility to invasive pulmonary aspergillosis (IPA). To clarify the relationship between IL6 variants and IPA susceptibility, the IL6−174(G/C) and IL6−634(G/C) promoter single nucleotide polymorphisms (SNPs) were defined and plasma concentrations of IL6 and C-reactive protein (CRP) were measured. The study included 130 patients with haematological malignancies and 145 unrelated healthy individuals. No significant genotypic and allelic differences were found between patients and healthy controls. IPA was diagnosed in 71 of 130 patients according to the consensus criteria. CRP values were significantly associated with both IL6−174(G/C) and IL6−634(G/C) polymorphisms. However, IL6 and CRP values were similar between IPA and non-IPA groups. Neither IL6−174(G/C) nor IL6−634(G/C) polymorphisms were associated with IPA infection (p = 0.414 and p = 0.184, respectively). No evidence of association was found between allelic frequencies of IL6 promoter polymorphisms and IPA infection (p = 0.864 and p = 0.104, respectively). Further, no association was detected between IL6 genotypes and clinical profiles in IPA patients. Haplotype analysis also revealed that IL6 gene was not associated with IPA susceptibility in a Spanish population (Global haplotype association p value: 0.31). These findings suggest that IL6 polymorphisms influence on CRP circulating levels but are not associated with IPA susceptibility. Because the sample size is relatively small in our series, larger investigations of IL6−174(G/C)/IL6−634(G/C) genotypes and haplotypes are needed to clarify the potential role of this gene in the pathophysiology of IPA infection.     

Haplotype‐based genotyping‐by‐sequencing in oat genome research

In a de novo genotyping‐by‐sequencing (GBS) analysis of short, 64‐base tag‐level haplotypes in 4657 accessions of cultivated oat, we discovered 164741 tag‐level (TL) genetic variants containing 241224 SNPs. From this, the marker density of an oat consensus map was increased by the addition of more than 70000 loci. The mapped TL genotypes of a 635‐line diversity panel were used to infer chromosome‐level (CL) haplotype maps. These maps revealed differences in the number and size of haplotype blocks, as well as differences in haplotype diversity between chromosomes and subsets of the diversity panel. We then explored potential benefits of SNP vs. TL vs. CL GBS variants for mapping, high‐resolution genome analysis and genomic selection in oats. A combined genome‐wide association study (GWAS) of heading date from multiple locations using both TL haplotypes and individual SNP markers identified 184 significant associations. A comparative GWAS using TL haplotypes, CL haplotype blocks and their combinations demonstrated the superiority of using TL haplotype markers. Using a principal component‐based genome‐wide scan, genomic regions containing signatures of selection were identified. These regions may contain genes that are responsible for the local adaptation of oats to Northern American conditions. Genomic selection for heading date using TL haplotypes or SNP markers gave comparable and promising prediction accuracies of up to r = 0.74. Genomic selection carried out in an independent calibration and test population for heading date gave promising prediction accuracies that ranged between r = 0.42 and 0.67. In conclusion, TL haplotype GBS‐derived markers facilitate genome analysis and genomic selection in oat.     

Haplotype diversity in the endosperm specific β-amylase gene Bmy1 of cultivated barley (Hordeum vulgare L.)

Five single nucleotide polymorphism (SNP) sites corresponding to substitutions in the protein sequence of the β-amylase gene Bmy1 at amino acid (AA) positions 115, 165, 233, 347 and 430 were genotyped in 493 cultivated barley accessions by Pyrosequencing and a CAPS assay. A total of 6 different haplotypes for the Bmy1 gene were discovered of which 4 haplotypes were identified as previously described alleles Bmy1-Sd1, Bmy1-Sd2L, Bmy1-Sd2H and Bmy1-Sd3, while 2 haplotypes were new. A broad spectrum of haplotypes was found in spring barleys, while the winter barleys were dominated by the newly described haplotype Bmy1-Sd4. Individual haplotype frequencies varied between the geographic regions.Three pairs of SNP loci within the gene showed highly significant (P<0.0001) elevated values of linkage disequilibrium (LD) with r ² > 0.6. In the European and Asian subpopulations different loci were in linkage disequilibrium due to the differences in haplotype frequency distributions. By applying LD data to select haplotype tagging SNPs, three SNP sites corresponding to AA positions 115, 233 and 347 were identified that allowed to discriminate 4 haplotypes and to capture 91.6% of the available diversity by distinguishing 452 out of 493 accessions. In a subset of 2-rowed German spring barley varieties 4 SNPs and 2 haplotypes had a significant association with the malting quality parameter final attenuation limit which is related to the total amylolytic enzymatic activity.