Comparison of strategies for selecting single nucleotide polymorphisms for case/control association studies

An approach for searching genes in signaling pathways or gene-gene interaction networks related to Hypertension in the Mexican population

INTRODUCTION

The selection of single nucleotide polymorphisms (SNPs) to evaluate the genetic susceptibility in complex traits is often conducted in isolation, without considering the entire set of genes. Incorporating signaling pathways or gene-gene interaction search may provide a more comprehensive approach to selecting SNP candidates for further study.

OBJECTIVE

To propose a systematic procedure for identifying SNPs candidates with complex traits such as hypertension and blood pressure.

METHODS

Sequential stages to SNPs selection: 1) literature review to identify SNPs, following the PRISMA methodology, 2) identification and selection of signaling pathways and selection of gene-gene interaction networks using the STRING software, and 3) application of specific criteria for SNPs candidates, including: a) SNPs with minor allele frequency > 5% in the target population, b) SNPs located within genes involved in three or more signaling pathways, and c) SNPs that are not in linkage disequilibrium, with a D'or r2 value < 0.8.

RESULTS

Stage 1) A total of 44 publications were selected, providing information on 230 genes evaluated with blood pressure. Stage 2) Using the STRING software, we selected 7 signaling pathways with a false discovery rate < 0.0001 and strength ≥ 0.8; and we identified 16 genes belonging to gene-gene interaction networks, six of them share ≥ 3 signaling pathways. Stage 3) Finally, 7 SNPs were selected for genotyping in the Health Workers Cohort Study. We observed a positive association between SNPs with hypertension incidence in males (rs1130214, rs3807989) and females (rs5051, rs2493123).

CONCLUSION

Our methodological proposal may be a reliable way for selecting SNPs candidates to study complex traits.

The anti-Müllerian hormone gene's second exon is associated with the reproductive performance of Jinghai Yellow chickens

Anti-Müllerian hormone (AMH), a member of the transforming growth factor-β superfamily, plays important regulatory roles in follicular development and sex differentiation. Although much has been learned about the impact of polymorphisms of AMH on reproduction in animals, the effect on chicken reproduction is not well explored. In this study, the polymorphism of five exons of AMH gene and its effect on the reproductive performance of Jinghai Yellow chickens were studied. Primers for the amplification of AMH exons were designed, and Sanger sequencing was performed. Finally, only the polymorphism in the second exon of the AMH gene was found in the present population. Polymorphisms in the second exon of the AMH gene in 246 Jinghai Yellow hens and their associations with reproductive traits were analyzed. In total, four single nucleotide polymorphism (SNP) mutations were detected in the second exon of the AMH gene: g.1868A>C (AA, aa and Aa); g.1883G>A (BB, bb and Bb); g.1987G>A (CC, cc and Cc); and g.1996A>G (DD, dd and Dd). Only the mutation of g.1996A>G affected the reproductive traits: the age of laying first egg (AFE) of dd genotype was significantly (p<0.01) earlier than that in the DD and Dd hens. Moreover, the egg number by 300 d old (EN300) of dd individuals was significantly higher than that of DD and Dd individuals (p<0.01). Thus, we inferred that the dd genotype is the beneficial genotype. Additionally, AFE and EN300 showed significantly better performance in both the H2H2 and H7H7 diplotypes compared with other diplotype individuals (p<0.01). Thus, the H2H2 and H7H7 genotype had the best combination of AFE and EN300. Our study may allow for molecular marker section in poultry breeding.

Association between Fbxl5 gene polymorphisms and partial economic traits in Jinghai Yellow chickens

The Fbxl5 gene is a member of the F-BOX family and plays an important role in maintaining iron homeostasis in cells. In order to reveal the genetic effects of Fbxl5 gene polymorphisms on body weight (BW) traits and reproductive performance in chickens, Fbxl5 gene polymorphisms were detected in 363 Jinghai Yellow chickens by PCR-single-strand conformation polymorphism (SSCP) and DNA sequencing methods using three primers. With primer 1, three genotypes (BB, bb, Bb) were detected in the Jinghai Yellow chicken population and two mutations (g. 14257 T > C and g. 14262 T > C) were revealed by gene sequencing. With primer 2, two genotypes (EE, Ee) were detected in the same population and one mutation (g. 19018 G > A), and for primer 3, three genotypes (FF, ff, Ff) and one mutation (g. 19018 G > A) were detected. Four single nucleotide polymorphisms (SNPs) were used to estimate the frequency distributions of the eight haplotypes with PHASE 2.1 software. CTCG was the major haplotype with a frequency of 37.93 %, while the least frequent was TCTA with a frequency of 2.98 %. The BW of haplotype combination H1H8 was higher than that of the other haplotypes and was a dominant combination. In terms of reproductive performance, the age at the first egg of the haplotype combination H9H1 was later than in the other haplotypes, but the mean egg weight at 300 days was relatively optimal. The H1H2 haplotype produced the highest mean egg weight in 300 days, although the total number of eggs in 300 days was smaller in the H2H4 haplotype with the highest at first egg. Therefore, we can consider using the haplotype combination H1H2 for selection. The findings of this study expand the theoretical basis of the use of the Fbxl5 gene in the molecular breeding of poultry.

Association between perilipin gene polymorphisms and body weight traits in Jinmao Hua chickens

Abstract. The perilipin gene (PLIN) plays a crucial role in lipid metabolism and fat deposition. In order to reveal the genetic effects of PLIN polymorphisms on body weight (BW) traits in chickens, PLIN gene polymorphisms in 322 Jinmao Hua chickens were detected by PCR-SSCP and DNA sequencing methods. For PLIN primer pair 1, five genotypes (AA, AB, BB, JJ and JL) were detected in the Jinmao Hua chicken population and three mutations (g.1889C > T, g.1904T > C and g.1922C > T) were revealed by gene sequencing. For PLIN primer pair 2, three genotypes (CC, CD and DD) were detected in the same population and two mutations (g.2014A > G and g.2020C > T) were revealed by gene sequencing. Least squares analysis showed that individuals with the JJ and CD genotypes performed better than the other Jinmao Hua chicken genotypes. Based on the five SNPs, the frequency distributions of the eight haplotypes were estimated with PHASE2.1 software. C-T-C-G-T was the major haplotype with a frequency of 58.6957 %, while the frequency of C-C-C-A-C was less than 1 %. Fourteen diplotypes were obtained from the eight haplotypes. H1H1 was the dominant diplotype with a frequency of 47.205 %. Least squares analysis indicated that BW with the H3H3 diplotype was the lowest, while the H2H2 diplotype was the highest, suggesting that selecting for the H3H3 diplotype improved the BW traits of Jinmao Hua chickens. The findings of this study should be useful to expand the theoretical basis of the role the PLIN in poultry molecular breeding of poultry.

Validation of PDE9A Gene Identified in GWAS Showing Strong Association with Milk Production Traits in Chinese Holstein

Phosphodiesterase9A (PDE9A) is a cyclic guanosine monophosphate (cGMP)-specific enzyme widely expressed among the tissues, which is important in activating cGMP-dependent signaling pathways. In our previous genome-wide association study, a single nucleotide polymorphism (SNP) (BTA-55340-no-rs(b)) located in the intron 14 of PDE9A, was found to be significantly associated with protein yield. In addition, we found that PDE9A was highly expressed in mammary gland by analyzing its mRNA expression in different tissues. The objectives of this study were to identify genetic polymorphisms of PDE9A and to determine the effects of these variants on milk production traits in dairy cattle. DNA sequencing identified 11 single nucleotide polymorphisms (SNPs) and six SNPs in 5' regulatory region were genotyped to test for the subsequent association analyses. After Bonferroni correction for multiple testing, all these identified SNPs were statistically significant for one or more milk production traits (p < 0.0001~0.0077). Interestingly, haplotype-based association analysis revealed similar effects on milk production traits (p < 0.01). In follow-up RNA expression analyses, two SNPs (c.-1376 G>A, c.-724 A>G) were involved in the regulation of gene expression. Consequently, our findings provide confirmatory evidences for associations of PDE9A variants with milk production traits and these identified SNPs may serve as genetic markers to accelerate Chinese Holstein breeding program.

Pharmacogenetics of the G protein-coupled receptors

Pharmacogenetics investigates the influence of genetic variants on physiological phenotypes related to drug response and disease, while pharmacogenomics takes a genome-wide approach to advancing this knowledge. Both play an important role in identifying responders and nonresponders to medication, avoiding adverse drug reactions, and optimizing drug dose for the individual. G protein-coupled receptors (GPCRs) are the primary target of therapeutic drugs and have been the focus of these studies. With the advance of genomic technologies, there has been a substantial increase in the inventory of naturally occurring rare and common GPCR variants. These variants include single-nucleotide polymorphisms and insertion or deletions that have potential to alter GPCR expression of function. In vivo and in vitro studies have determined functional roles for many GPCR variants, but genetic association studies that define the physiological impact of the majority of these common variants are still limited. Despite the breadth of pharmacogenetic data available, GPCR variants have not been included in drug labeling and are only occasionally considered in optimizing clinical use of GPCR-targeted agents. In this chapter, pharmacogenetic and genomic studies on GPCR variants are reviewed with respect to a subset of GPCR systems, including the adrenergic, calcium sensing, cysteinyl leukotriene, cannabinoid CB1 and CB2 receptors, and the de-orphanized receptors such as GPR55. The nature of the disruption to receptor function is discussed with respect to regulation of gene expression, expression on the cell surface (affected by receptor trafficking, dimerization, desensitization/downregulation), or perturbation of receptor function (altered ligand binding, G protein coupling, constitutive activity). The large body of experimental data generated on structure and function relationships and receptor-ligand interactions are being harnessed for the in silico functional prediction of naturally occurring GPCR variants. We provide information on online resources dedicated to GPCRs and present applications of publically available computational tools for pharmacogenetic studies of GPCRs. As the breadth of GPCR pharmacogenomic data becomes clearer, the opportunity for routine assessment of GPCR variants to predict disease risk, drug response, and potential adverse drug effects will become possible.

Genetic effect of the prolactin receptor gene on egg production traits in chickens

The identification and utilization of potential candidate genes with significant effects on economically important traits have become increasingly important in poultry breeding programs. The prolactin (PRLR) receptor is a specific receptor for prolactin, which is an anterior pituitary peptide hormone involved in various physiological activities and is essential for reproductive success. In chickens, the PRLR gene resides on the Z chromosome. We used a pooled DNA sequencing approach for identifying SNPs of the PRLR gene. Three hundred and nine-six Erlang Mountainous chicken hens were genotyped for six SNPs using PCR-SSCP and PCR-sequencing methods; the association with chicken egg production traits was studied using general linear model procedures. Three linked SNPs (G14952A, A14969C and G14984A) at the P1 locus, two linked SNPs (G17560A and T17626A) at the P2 locus, and one SNP (T20868C) at the P3 locus were identified. Eight haplotypes were reconstructed on the basis of the six SNPs. The general linear model analysis indicated that there were significant associations of certain genotypes and haplotypes with some egg production traits. We conclude that chicken PRLR gene polymorphisms are associated with egg production traits and have potential as molecular markers for chicken breeding.

Polymorphisms in Wnt signaling pathway genes are significantly associated with chicken carcass traits

The Wnt signaling pathway plays a crucial role during embryogenesis in vertebrates. In this study, 124 SNP in 31 Wnt signaling pathway genes were selected to genotype 764 individuals in an F(2) resource population by reciprocally crossing Silkie fowls and Cornish broilers, and 102 SNP were polymorphic. Pairwise linkage disequilibrium among the SNP within each gene was calculated. Haplotypes were reconstructed from the SNP in strong linkage disequilibrium. The associations of SNP and haplotypes with carcass traits were analyzed respectively, and the SNP contributions to phenotypic variance were estimated. The present study showed that 58 SNP in 24 genes and 8 haplotype blocks within 7 genes were significantly (P < 0.05) associated with at least one carcass trait. Fourteen SNP (among the 58 SNP) explained >2% phenotypic variance, 12 of which had significantly (P < 0.01) additive or dominant effects. Furthermore, both rs15865526 (Wnt9A) and rs14066777 (MAPK9) as well as their corresponding haplotype blocks were significantly associated with shank circumference and wing weight, respectively. In addition, 5 muscle-weight-related SNP explained >7% phenotypic variance, which was much higher than those of others. It was found that the Wnt signaling pathway was strongly associated with chicken carcass traits, and 7 genes were particularly important, namely RHOA and CHP for breast muscle weight, Wnt3A for breast muscle weight percentage over carcass weight, RAC1 for thigh weight percentage and thigh muscle weight percentage over carcass weight, Wnt11 for thigh weight percentage over carcass weight, Wnt9A for shank length, and MAPK9 for shank circumference. It is evident that Wnt signaling plays a major role in regulating carcass characteristics important for production traits in chickens.

Evaluate the relationship between polymorphisms of OAS1 gene and susceptibility to chronic hepatitis C with high resolution melting analysis

The aim of this was to investigate the relationship between single-nucleotide polymorphisms (SNPs) in the OAS1 gene and the susceptibility to chronic hepatitis C virus (HCV) infection in a population from the Liaoning Province of China. High resolution melt (HRM)-PCR analysis was conducted to examine three OAS1 SNPs: rs2660 G/A, rs10774671 G/A, and rs3741981 G/A in 298 chronic HCV-infected patients and in 305 healthy controls and to identify a relationship between SNP genotype and susceptibility to chronic HCV infection using a case–control study design. These three OAS1 SNPs were in strong linkage disequilibrium (rs2660 vs. rs10774671: |D’|=1.000, r² =1.000; rs2660/rs10774671 vs. rs3741981: |D’|=0.938, r² =0.569). The frequency of AG + GG genotypes in both rs2660 and rs10774671 and the AA + AG genotype in rs3741981 was significantly higher among chronic HCV-infected patients than among control (P < 0.001); the A allele in all three SNPs was found more frequently in the chronic HCV-infected group than in the control group (rs2660 and rs10774671: P = 0.02; rs3741981: P < 0.001). Moreover, individuals carrying the A allele in these SNPs exhibited an increased risk for chronic HCV infection (rs2660 and rs10774671: OR = 1.356 [1.051–1.749]; rs3741981: 1.363 [1.085–1.712]). The haplotype created by the G allele at both rs2660 and rs10774671 and the A allele at rs3741981 increased the risk of chronic HCV infection by 3.394-fold (95 % CI 1.406–8.201). Our results identify OAS1 SNP rs2660, rs10774671, and rs3741981 as genetic risk factors for chronic HCV infection. Polymorphisms of the OAS1 gene might affect the susceptibility to chronic infection with HCV.

Polymorphism of chicken myocyte-specific enhancer-binding factor 2A gene and its association with chicken carcass traits

Myocyte-specific enhancer-binding factor 2A (MEF2A) gene is a member of the myocyte-specific enhancer-binding factor 2 (MEF2) protein family which involved in vertebrate skeletal muscle development and differentiation. The aim of the current study is to investigate the potential associations between MEF2A gene SNPs (single nucleotide polymorphisms) and the carcass traits in 471 chicken samples from four populations. Three new SNPs (T46023C, A72626G, and T89232G) were detected in the chicken MEF2A gene. The T46023C genotypes were associated with live body weight (BW), carcass weight (CW), eviscerated weight, semi-eviscerated weight (SEW), and leg muscle weight (LMW) (P < 0.05); the A72626G genotypes were associated with BW, CW, LMW (P < 0.01) and breast muscle weight (BMW), leg muscle percentage (LMP) (P < 0.05); whereas the T89232G genotypes were associated with carcass percentage (CP) and semi-eviscerated percentage (SEP) (P < 0.05). The haplotypes constructed on the three SNPs were associated with BW, CW, LMW (P < 0.01), SEW, BMW, CP (P < 0.05). Significantly and suggestive dominant effects of diplotype H1H2 were observed for BW, CW, SEW, BMW and CP, whereas diplotype H5H5 had a negative effect on BW, CW, SEW, BMW and LMW. Our results suggest that the MEF2A gene may be a potential marker affecting the muscle trait of chickens.

Association of FATP1 gene polymorphisms with chicken carcass traits in Chinese meat-type quality chicken populations

In this study, we aimed to detect the single nucleotide polymorphisms (SNPs) of the chicken FATP1 gene and discern the potential association between FATP1 SNPs and chicken carcass traits. A total of 620 meat-type quality chickens from six commercial pure lines (S01, S02, S03, S05, S06 and D99) and two cross lines (S05 × S01 and S06 × S01) were screened by using the single-strand conformational polymorphism analysis (SSCP) and DNA sequencing. Five SNPs [g.49360G > A, g.48195G > A, g.46847A > G, g.46818A > G, and g.46555A > G] were identified in chicken FATP1 gene. SNP g.46818 A > G was a rare variant and was not considered in the subsequent analysis. Sixteen haplotypes were reconstructed on the basis of the other four SNPs. The linear regression model analysis indicated that there were significant associations of certain diplotypes with part of carcass traits, such as live weight (LW), carcass weight (CW), and semi-eviscerated weight (SEW) (P < 0.05). In particular, diplotype H2H4 had a negative effect on LW, CW, SEW, and abdominal fat weight (AW); diplotype H6H10 had the highest reducing effect on subcutaneous fat thickness (SFT). Our results suggested that FATP1 gene polymorphisms were associated with chicken carcass traits or was linked with the major gene. The SNPs in this gene may be utilized as potential markers for marker-assisted selection (MAS) during chicken breeding.

STrengthening the REporting of Genetic Association Studies (STREGA)--an extension of the STROBE statement

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.

Gender-specific association between the kininogen 1 gene variants and essential hypertension in Chinese Han population

BACKGROUND

Kininogens serve as the precursors of potent vasoactive kinin peptides and also function as cysteine proteinase inhibitors.

METHOD

Given its potential role in blood pressure homeostasis, a tagging single nucleotide polymorphism (SNP) based case-control study was conducted to explore the association between kininogen 1 gene common variants and essential hypertension in Chinese Han population. Four tagging SNPs were selected on the basis of the HapMap database and further genotyped in 2411 patients with essential hypertension and 2348 controls from the International Collaborative Study of Cardiovascular Disease in Asia (InterASIA in China).

RESULTS

A significant gender-specific association between the kininogen 1 gene common variants and essential hypertension was observed. In male, but not female participants, rs2304456 CC genotype and rs4686799 TT genotype were significantly related to hypertension [odds ratio (OR) = 2.20, 95% confidence interval (CI): 1.24-3.90, P = 0.007 and OR = 1.31, 95% CI: 1.04-1.66, P = 0.025, respectively]. The haplotypes G-C-C-T and the A-A-T-T were significantly associated with essential hypertension in the male population with adjusted OR 1.43 (P < 0.001) and OR 1.24 (P = 0.001), respectively. The haplotype G-A-C-T was in significant association with essential hypertension (OR = 1.42, P = 0.003) as well as systolic blood pressure (P = 0.005) and diastolic blood pressure (P = 0.015).

CONCLUSION

This is the first association study of the kininogen 1 gene with essential hypertension. Both single-locus and haplotype analyses indicated the kininogen 1 gene was associated with essential hypertension and blood pressure traits in the Chinese male population.

STrengthening the REporting of Genetic Association studies (STREGA)--an extension of the STROBE statement

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed, but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct or analysis.

Identification and association of the single nucleotide polymorphisms in calpain3 (CAPN3) gene with carcass traits in chickens

BACKGROUND

The aim of this study is to screen single nucleotide polymorphisms (SNP) of chicken Calpain3 (CAPN3) gene and to analyze the potential association between CAPN3 gene polymorphisms and carcass traits in chickens. We screened CAPN3 single nucleotide polymorphisms (SNP) in 307 meat-type quality chicken from 5 commercial pure lines (S01, S02, S03, S05, and D99) and 4 native breeds from Guangdong Province (Huiyang Huxu chicken and Qingyuan Ma chicken) and Sichuan Province (Caoke chicken and Shandi Black-bone chicken), China.

RESULTS

Two SNPs (11818T>A and 12814T>G) were detected by single strand conformation polymorphism (SSCP) method and were verified by DNA sequencing. Association analysis showed that the 12814T>G genotypes were significantly associated with body weight (BW), carcass weight (CW), breast muscle weight (BMW), and leg muscle weight (LMW). Haplotypes constructed on the two SNPs (H1, TG; H2, TT; H3, AG; and H4, AT) were associated with BW, CW (P < 0.05), eviscerated percentage (EP), semi-eviscerated percentage (SEP), breast muscle percentage (BMP), and leg muscle percentage (LMP) (P < 0.01). Diplotype H1H2 was dominant for BW, CW, and LMP, and H2H2 was dominant for EP, SEP, and BMP.

CONCLUSION

We speculated that the CAPN3 gene was a major gene affecting chicken muscle growth and carcass traits or it was linked with the major gene(s). Diplotypes H1H2 and H2H2 might be advantageous for carcass traits.

STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.

Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy–Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.

Study on association of single nucleotide polymorphism of CAPN1 gene with muscle fibre and carcass traits in quality chicken populations

This study was aimed at investigating the effect of the calpain 1 (CAPN1) gene on carcass and meat quality traits in eight meat-type chicken populations, including five pure lines (developed from Chinese local breeds) and three cross-breeds. Primer pairs for the Coding Sequence (CDS) region in CAPN1 were designed from the chicken genomic sequence database. Polymorphisms were detected by polymerase chain reaction (PCR)-Single Strand Conformation Polymorphism (SSCP) and DNA sequencing. Three single nucleotide polymorphisms (SNP; C2546T, G3535A and C7198A) were detected among individuals in each population. The associations of their haplotypes (H1 = CGA, H2 = CGC, H3 = CAA, H4 = CAC, H5 = TGA and H7 = TAA) with chicken breast muscle fibre and carcass traits were analysed. Results showed that the haplotypes were associated with live weight (LW), carcass weight (CW), breast muscle weight (BMW) and leg muscle weight (LMW) (p < 0.05), and were also related to eviscerated percentage (%EP) and breast muscle fibre density (p < 0.01). H1H3 haplotype was dominant for LW, CW and BMW; H1H5 haplotype was dominant for EP; H3H4 haplotype was dominant for LMW and H1H1 haplotype was dominant for BFD. It was concluded that the CAPN1 gene may be a major gene affecting meat quality traits of chicken or it is linked with the major gene. H1H3, H1H5 and H3H4 were the most advantageous haplotypes for carcass traits whereas H1H1 was the positive haplotype for breast muscle fibre trait.

Genome-wide screen for asthma in Puerto Ricans: evidence for association with 5q23 region

While the number of success stories for mapping genes associated with complex diseases using genome-wide association approaches is growing, there is still much work to be done in developing methods for such studies when the samples are collected from a population, which may not be homogeneous. Here we report the first genome-wide association study to identify genes associated with asthma in an admixed population. We genotyped 96 Puerto Rican moderate to severe asthma cases and 88 controls as well as 109 samples representing Puerto Rico's founding populations using the Affymetrix GeneChip Human Mapping 100K array sets. The data from samples representing Puerto Rico's founding populations was used to identify ancestry informative markers for admixture mapping analyses. In addition, a genome-wide association analysis using logistic regression was performed on the data. Although neither admixture mapping nor regression analysis gave any significant association with asthma after correction for multiple testing, an overlap analysis using the top scoring SNPs from different methods suggested chromosomal regions 5q23.3 and 13q13.3 as potential regions harboring genes for asthma in Puerto Ricans. The validation analysis of these two regions in 284 Puerto Rican asthma trios gave significant association for the 5q23.3 region. Our results provide strong evidence that the previously linked 5q23 region is associated with asthma in Puerto Ricans. The detection of causative variants in this region will require fine mapping and functional validation.

A coalescent simulation of marker selection strategy for candidate gene association studies

Recent efforts have focused on the challenges of finding alleles that contribute to health-related phenotypes in genome-wide association studies. However, in candidate gene studies, where the genomic region of interest is small and recombination is limited, factors that affect the ability to detect disease-susceptibility alleles remain poorly understood. In particular, it is unclear how varying the number of markers on a haplotype, the type of marker (e.g., single nucleotide polymorphism (SNP), short tandem repeat (STR)), including the causative site (cs) as a genetic marker, or population demographics influences the power to detect a candidate gene. We evaluated the power of association tests using coalescent-modeled computer simulations. Results show that an effective number of markers on a haplotype is dependent on whether the cs is included as a marker. When the analyses include the cs, highest power is achieved with a single-marker association test. However, when the cs is excluded from analyses, the addition of more nonfunctional SNPs on the haplotype increases power to a certain point under most scenarios. We find a rapidly expanding population always has lower power compared to a population of constant size; although utilizing markers with a frequency of at least 5% improves the chance of detecting an association. Comparing the mutational properties of a nonfunctional SNP versus an STR, multi-allelic STRs provide more or comparable power than a bi-allelic SNP unless SNP frequencies are constrained to 10% or more. Similarly, including an STR with SNPs on a haplotype improves power unless SNP frequencies are 5% or more.

G protein-coupled receptor pharmacogenetics

Common G protein-coupled receptor (GPCR) gene variants that encode receptor proteins with a distinct sequence may alter drug efficacy without always resulting in a disease phenotype. GPCR genetic loci harbor numerous variants, such as DNA insertions or deletions and single-nucleotide polymorphisms that alter GPCR expression and function, thereby contributing to interindividual differences in disease susceptibility/progression and drug responses. In this chapter, these pharmacogenetic phenomena are reviewed with respect to a limited sampling of GPCR systems, including the beta(2)-adrenergic receptors, the cysteinyl leukotriene receptors, and the calcium-sensing receptor. In each example, the nature of the disruption to receptor function that results from each variant is discussed with respect to the regulation of gene expression, expression on cell surface (affected by receptor trafficking, dimerization, desensitization/downregulation), or perturbation of receptor function (by altering ligand binding, G protein coupling, and receptor constitutive activity). Despite the breadth of pharmacogenetic knowledge available, assessment for genetic variants is only occasionally applied to drug development projects involving pharmacogenomics or to optimizing the clinical use of GPCR drugs. The continued effort by the basic science of pharmacogenetics may draw the attention of drug discovery projects and clinicians alike to the utility of personalized pharmacogenomics as a means to optimize novel GPCR drug targets.

Comparison of tagging single-nucleotide polymorphism methods in association analyses

Several methods to identify tagging single-nucleotide polymorphisms (SNPs) are in common use for genetic epidemiologic studies; however, there may be loss of information when using only a subset of SNPs. We sought to compare the ability of commonly used pairwise, multimarker, and haplotype-based tagging SNP selection methods to detect known associations with quantitative expression phenotypes. Using data from HapMap release 21 on unrelated Utah residents with ancestors from northern and western Europe (CEPH-Utah, CEU), we selected tagging SNPs in five chromosomal regions using ldSelect, Tagger, and TagSNPs. We found that SNP subsets did not substantially overlap, and that the use of trio data did not greatly impact SNP selection. We then tested associations between HapMap genotypes and expression phenotypes on 28 CEU individuals as part of Genetic Analysis Workshop 15. Relative to the use of all SNPs (n = 210 SNPs across all regions), most subset methods were able to detect single-SNP and haplotype associations. Generally, pairwise selection approaches worked extremely well, relative to use of all SNPs, with marked reductions in the number of SNPs required. Haplotype-based approaches, which had identified smaller SNP subsets, missed associations in some regions. We conclude that the optimal tagging SNP method depends on the true model of the genetic association (i.e., whether a SNP or haplotype is responsible); unfortunately, this is often unknown at the time of SNP selection. Additional evaluations using empirical and simulated data are needed.

Gene mapping in asthma-related traits

In asthma, as in many other common multifactorial diseases, the identification of the susceptibility genes has been challenging because consistent results at the genome-wide significance level have been scarce. So far, genome-wide scans have been reported in 17 study populations. By means of genome-wide linkage and hierarchical association analysis, six positional candidate genes (ADAM33, PHF11, DPP10, GPR154, HLA-G, and CYFIP2) for asthma-related traits have been cloned. The interactions of the proteins encoded by these genes and the biological relevance of these signaling pathways in the development of asthma are still poorly understood. Also, the disease mechanisms resulting from the genetic variance in the genes identified remain largely unknown. Although this information is gradually accumulating, we can examine the statistical robustness of each genetic finding in combination with the limited data available on the functional properties of the corresponding proteins to estimate the strengths and weaknesses in the chains of evidence.

A graphical assessment of p-values from sliding window haplotype tests of association to identify asthma susceptibility loci on chromosome 11q

Background

Past work on asthmatic African American families revealed a strong linkage peak with modest evidence of association on chromosome 11q. Here, we perform tests of association for asthma and a panel of 609 SNPs in African American subjects using a sliding window approach. While efficient in screening a region of dense genotyping, this approach does create some problems: high numbers of tests, assimilating thousands of results, and questions about setting priorities on regions with association signals.

Results

We present a newly developed tool, Graphical Assessment of Sliding P-values or GrASP, which uses color display to indicate the width of the sliding windows, significance of individual tests, density of SNP coverage and location of known genes that simplifies some of these issues, and use it to identify regions of interest in these data.

Conclusion

We demonstrate that GrASP makes it easier to visualize, summarize and prioritize regions of interest from sliding window haplotype analysis, based jointly on the p-value from all the tests from these windows and the building of haplotypes of significance in the region. Using this approach, five regions yielded strong evidence for linkage and association with asthma, including the prior peak linkage region.

Single nucleotide polymorphisms of the chicken insulin-like factor binding protein 2 gene associated with chicken growth and carcass traits

Five single nucleotide polymorphisms (SNP) of the chicken insulin-like factor binding protein 2 (IGFBP2) gene were selected to genotype a F2 designed population with restriction fragment length polymorphisms and single stranded-conformation polymorphisms. The associations of the SNP and their haplotypes with chicken growth and carcass traits were analyzed. Results showed that the difference induced by the haplotypes derived from the 5 SNP was more significant than that by the single SNP in the genotype-phenotype association analysis. The haplotypes were associated with BW at hatch and at 21, 28, 42, 49, 56, and 90 d of age, as well as eviscerated weight with giblets (EWG), eviscerated weight (EW), and weights of heart, liver, and gizzard (HLGW) (P < or = 0.01). The haplotypes were also related to BW at 7, 14, and 35 d of age, breast depth, carcass weight, and breast muscle weight (P < or = 0.05). Significant and suggestive dominant effects of H1H5 diplotype were detected for BW at 7, 14, 21, 28, and 90 d of age, as well as breast depth, carcass weight, eviscerated weight with giblets, eviscerated weight, breast muscle weight, leg muscle weight, and weights of heart, liver, and gizzard. It was concluded that H1H5 was the most advantageous diplotype, and H4H10 was the negative diplotype for growth and carcass traits.

Adverse events diagnosed within three days of vaccine administration in dogs

OBJECTIVE

To determine incidence rates and potential risk factors for vaccine-associated adverse events (VAAEs) diagnosed within 3 days of administration in dogs.

DESIGN

Retrospective cohort study.

ANIMALS

1,226,159 dogs vaccinated at 360 veterinary hospitals.

PROCEDURE

Electronic records from January 1, 2002, through December 31, 2003, were searched for possible VAAEs (nonspecific vaccine reaction, allergic reaction, urticaria, or anaphylaxis) diagnosed within 3 days of vaccine administration. Information included age, weight, sex, neuter status, and breed. Specific clinical signs and treatments were reviewed in a random sample of 400 affected dogs. The association between potential risk factors and a VAAE was estimated by use of multivariate logistic regression.

RESULTS

4,678 adverse events (38.2/10,000 dogs vaccinated) were associated with administration of 3,439,576 doses of vaccine to 1,226,159 dogs. The VAAE rate decreased significantly as body weight increased. Risk was 27% to 38% greater for neutered versus sexually intact dogs and 35% to 64% greater for dogs approximately 1 to 3 years old versus 2 to 9 months old. The risk of a VAAE significantly increased as the number of vaccine doses administered per office visit increased; each additional vaccine significantly increased risk of an adverse event by 27% in dogs < or = 10 kg (22 lb) and 12% in dogs > 10 kg.

CONCLUSIONS AND CLINICAL RELEVANCE

Young adult small-breed neutered dogs that received multiple vaccines per office visit were at greatest risk of a VAAE within 72 hours after vaccination. These factors should be considered in risk assessment and risk communication with clients regarding vaccination.

Association analysis of chromosome 5 GABAA receptor cluster in Japanese schizophrenia patients

BACKGROUND

Several investigations suggest that abnormalities in gamma-amino butyric acid (GABA) neurotransmission systems may be related to the pathophysiology of schizophrenia. A GABA(A) receptor gene cluster on 5q31-35 (beta2 [GABRB2], alpha6 [GABRA6], alpha1 [GABRA1], and gamma2 [GABRG2] subunit genes) is one of the most attractive candidate regions for schizophrenia susceptibility.

METHODS

We performed 1) systematic polymorphism search of GABRB2, GABRA6, and GABRA1, in addition to our colleague's study of GABRG2; 2) evaluation of linkage disequilibrium (LD) within this cluster with 35 single nucleotide polymorphisms (SNPs); 3) "selection of haplotype-tagging (ht) SNPs"; and 4) two-stage association analysis that comprised first-set screening analysis of all htSNPs (288 Japanese schizophrenia patients and 288 control subjects) and second-set replication analysis of the positive htSNPs (901 schizophrenic patients and 806 control subjects).

RESULTS

In the first-set scan, we found a significant association of two htSNPs in GABRA1, but no association of GABRB2, GABRA6, and GABRG2. In the following second-set analysis, however, we could not confirm these significant associations.

CONCLUSIONS

These results indicate that this gene cluster may not play a major role in Japanese schizophrenia. They also raised an alert with regard to preliminary genetic association analysis using a small sample size.

Association between asthma-related phenotypes and the CC16 A38G polymorphism in an unselected population of young adult Danes

The gene for Clara cell 16-kDa (CC16) protein is a promising candidate for asthma susceptibility. The CC16 38A allele has been associated with decreased CC16 plasma levels and increased incidence of asthma in Australian children. To date these results have not been replicated in adults. Therefore, potential links between CC16 A38G, asthma and atopy were investigated in an unselected population of young adult Danes. Four hundred sixty-four Danes, aged 19-29 years, from Copenhagen participated in an asthma and allergy phenotype-genotype study. Genotyping was done by Sau96I restriction digestion of PCR products spanning the A38G polymorphism. Potential A38G genotype and asthma-related phenotype associations were investigated using regression analysis, adjusting for potential confounders where appropriate. Adults with the 38AA genotype had higher odds of current asthma (OR 3.2, P=0.013) and ever asthma (OR 2.2, P=0.045) compared with those with the 38GG genotype. Adjusting for atopy had minimal effect on this relationship. A positive linear trend was evident between the 38A allele and atopic dermatitis (OR 1.67, P=0.02). No associations were found between the A38G polymorphism and rhinitis, atopy, forced expiratory volume in 1 s (FEV(1)), forced vital capacity (FVC), airway responsiveness (AR) to histamine or peripheral blood eosinophil level (PBEL). An atopy-independent association between CC16 38AA and asthma prevalence was identified, suggesting the CC16 38A allele predisposes to adult asthma independent of Th1/Th2 processes. This finding is consistent with previous studies in children, but is the first reported association between CC16 A38G and asthma in adults. CC16 38A also displayed a positive linear trend with atopic dermatitis.

The Epidemiologic Approach to Pharmacogenomics

The epidemiologic approach enables the systematic evaluation of potential improvements in the safety and efficacy of drug treatment which might result from targeting treatment on the basis of genomic information. The main epidemiologic designs are the randomized control trial, the cohort study, and the case-control study, and derivatives of these proposed for investigating gene-environment interactions. However, no one design is ideal for every situation, and methodological issues, notably selection bias, information bias, confounding and chance, all play a part in determining which study design is best for a given situation. There is also a need to employ a range of different designs to establish a portfolio of evidence about specific gene-drug interactions. In view of the complexity of gene-drug interactions, pooling of data across studies is likely to be needed in order to have adequate statistical power to test hypotheses. We suggest that there may be opportunities (i) to exploit samples from trials already completed to investigate possible gene-drug interactions; (ii) to consider the use of the case-only design nested within randomized controlled trials as a possible means of reducing genotyping costs when dichotomous outcomes are being investigated; and (iii) to make use of population-based disease registries that can be linked with tissue samples, treatment information and death records, to investigate gene-treatment interactions in survival.

An Autosome-Wide Scan for Linkage Disequilibrium–Based Association in Sporadic Breast Cancer Cases in Eastern Finland: Three Candidate Regions Found

Breast cancer is the most common of cancers among women in industrialized countries. Many of breast cancer risk factors are known, but the majority of the genetic background is still unknown. Linkage disequilibrium–based association is a powerful tool for mapping disease genes and is suitable for mapping complex traits in founder populations. We report the results of a two-stage, autosome-wide scan for LD with breast cancer. Our aim was to identify genetic risk factors for sporadic breast cancer in an eastern Finnish population. Our case-control set is from the province of northern Savo in the late-settlement area of eastern Finland. This population is relatively young and genetically homogeneous. We used 435 autosomal microsatellite markers spaced by an average of 10 cM in a set of 49 breast cancer cases and 50 controls. In the first-stage scan, we found 21 markers in LD with breast cancer (Ps = 0.003-0.046, Fisher's exact test). In the second-stage scan with markers flanking 21 positive loci, four significant markers were found (Ps = 0.013-0.046, Fisher's exact test). Haplotype analysis using global score method with two, three, or four markers also revealed four positive marker combinations (simulated P for global score = 0.003-0.021). Our results suggest breast cancer–associated regions on 3p26, 11q23, and 22q13.1 in an eastern Finnish population.

Association of an intragenic microsatellite marker in the CC16 gene with asthma in the Indian population

The gene for Clara cell secretory protein (CC16) is an ideal candidate for investigating genetic predisposition to asthma because of its role in the airway as an anti-inflammatory molecule, differences in its levels between asthmatics and healthy controls, and its genetic location (11q13). We investigated the association of an SNP (A38G) and an intragenic repeat polymorphism in the CC16 gene with asthma and its associated traits, such as total serum IgE levels, in a case control as well as in a family based study design. A significant association was observed for the microsatellite repeat at the level of alleles and genotypes with asthma (P<0.05) in both the study designs. However, no association was observed for the A38G SNP with asthma. When haplotypes were constructed for these two loci and compared, the haplotype A_18 was found at higher frequency in patients (OR=1.59, 95%CI=1.08, 2.33, P=0.016). Also, in the family based design, a biased transmission was observed for haplotypes from parents to affected offspring (P=0.003). Individually, haplotype A_18 showed preferential transmission (82.6%) to affected offspring (P=0.001), thereby confirming the case-control results. In summary, this is the first study identifying the CC16 gene to be associated with asthma in the Indian population.

Multipoint linkage disequilibrium mapping for complex diseases

Linkage disequilibrium (LD) or association studies using case-parent trios have become a common approach to locate unobserved susceptibility genes underlying complex diseases. With the availability of ever more dense marker maps, how to utilize the information carried by multiple markers simultaneously remains challenging. Recently, Liang et al. ([2001a] Am. J. Hum. Genet. 68: 937-950) proposed a multipoint LD method to estimate the location of a susceptibility gene within a framework map along with its sampling uncertainty. Two important features of this method are that 1) it uses all trios whether parents are heterozygous for a given marker or not, and 2) it provides a single test statistic for the null hypothesis of no linkage or no LD to the region, avoiding the multiple testing problem encountered when performing individual transmission disequilibrium tests (TDT) for each marker individually. In this paper, we discuss how this method can be expanded to address important issues pertaining to complex diseases in a unified fashion. These issues include, among others, gene-gene and gene-environment interactions, genetic heterogeneity, phenotypic refinement, and paternal vs. maternal transmission. We applied this method to asthmatic case-parent trios from the Collaborative Study on the Genetics of Asthma (CSGA), and found that the previous evidence for linkage and LD in a 13.6 cM region of chromosome 11 can be attributed to maternal transmission, while there was no evidence of excess paternal transmission. Furthermore, such discrepancy in preferential transmission was most evident among probands with early onset age (6 years old or younger).

Recent development in genomic and proteomic research for asthma

PURPOSE OF REVIEW

Asthma is a complex genetic disorder with a heterogeneous phenotype attributed to the interactions among many genes and the environment. This review highlights recent developments in asthma genomic and proteomic research.

RECENT FINDINGS

Numerous loci and candidate genes have been reported to show linkage and association of asthma and the asthma-associated phenotypes, atopy, elevated immunoglobulin E (IgE) levels, and bronchial hyperresponsiveness to alleles of microsatellite markers and single nucleotide polymorphisms within specific cytokine/chemokine, and IgE regulating genes. Although many studies reporting these observations are compelling, only a few genes conferring significant risk have been mapped. Although significant progress has been made in the field of asthma genetics in the past decade, the clinical implications of the genetic variations within the numerous candidate asthma genes, which have been found to associate with the expression of the asthmatic phenotype, remain largely undetermined. However, in the past year the scientific community has benefited from postgenomic discoveries, with the recent cloning of two asthma genes, ADAM 33 and PHF11, and this has generated new information that is benefiting others.

SUMMARY

The asthma genetics field has advanced considerably in recent years, with new information being generated that has led to improved understanding of the pathobiology underlying this complex disorder. This has also generated interest in the study of gene-gene interaction and how linkage disequilibrium blocks and haplotypes can be used as functional units to pinpoint mutations and capture relative risk of mutated genes in complex disorders.

The role of haplotypes in candidate gene studies

Human geneticists working on systems for which it is possible to make a strong case for a set of candidate genes face the problem of whether it is necessary to consider the variation in those genes as phased haplotypes, or whether the one-SNP-at-a-time approach might perform as well. There are three reasons why the phased haplotype route should be an improvement. First, the protein products of the candidate genes occur in polypeptide chains whose folding and other properties may depend on particular combinations of amino acids. Second, population genetic principles show us that variation in populations is inherently structured into haplotypes. Third, the statistical power of association tests with phased data is likely to be improved because of the reduction in dimension. However, in reality it takes a great deal of extra work to obtain valid haplotype phase information, and inferred phase information may simply compound the errors. In addition, if the causal connection between SNPs and a phenotype is truly driven by just a single SNP, then the haplotype-based approach may perform worse than the one-SNP-at-a-time approach. Here we examine some of the factors that affect haplotype patterns in genes, how haplotypes may be inferred, and how haplotypes have been useful in the context of testing association between candidate genes and complex traits.