Epistasis and Its Implications for Personal Genetics

The widespread availability of high-throughput genotyping technology has opened the door to the era of personal genetics, which brings to consumers the promise of using genetic variations to predict individual susceptibility to common diseases. Despite easy access to commercial personal genetics services, our knowledge of the genetic architecture of common diseases is still very limited and has not yet fulfilled the promise of accurately predicting most people at risk. This is partly because of the complexity of the mapping relationship between genotype and phenotype that is a consequence of epistasis (gene-gene interaction) and other phenomena such as gene-environment interaction and locus heterogeneity. Unfortunately, these aspects of genetic architecture have not been addressed in most of the genetic association studies that provide the knowledge base for interpreting large-scale genetic association results. We provide here an introductory review of how epistasis can affect human health and disease and how it can be detected in population-based studies. We provide some thoughts on the implications of epistasis for personal genetics and some recommendations for improving personal genetics in light of this complexity.     

Factors affecting the distribution of genetic variability in the guppy, Poecilia reticulata

Previous studies on Trinidadian guppies have shown an apparent association of genetic variability, expressed as mean heterozygosity (Ho) at allozyme loci, with river order: fish from lowland sites exhibit higher mean Ho than their upland counterparts. Detailed genetic and behavioural observations were undertaken in the present study by repeated sampling throughout two river courses to examine population heterogeneity. Results show that the predation regime mediated mating behaviour of upland and lowland populations in the wild is not as divergent as previous laboratory observations have suggested. Furthermore, genetic variation at the eight loci variable in Trinidadian populations (p₁₀₀=0·13–O·88, H₀=O·03–0·23) appears to bear little association with predation regime, but is related to sub-structuring of populations by habitat features and geographic isolation. We therefore conclude that the observed patterns of genetic variability arise primarily as a consequence of stochastic as opposed to deterministic factors.     

The Mechanism of Somatic Association in Common Wheat, TRITICUM AESTIVUM L. IV. Further Evidence for Modification of Spindle Tubulin through the Somatic-Association Genes as Measured by Vinblastine Binding

Treatment with the antitubulin vinblastine was found to disrupt the spindle system in dividing root-tip cells of common wheat, Triticum aestivum L. Genotypes lacking the somatic association suppressor gene on 5B^L, or containing the somatic-association promoter on 5B^S, were found to be more sensitive to the treatment. In genetic lines carrying the somatic association suppressor, sensitivity to vinblastine was lower and there was a direct correlation between dosage of the suppressor gene (0, 2, and 4) and the decrease in spindle disruption on exposure to various concentrations of vinblastine. It is concluded that the somatic association genes affect binding ability of spindle tubulin to vinblastine. Since the same genes affect binding of colchicine to tubulin and since the two alkaloids attach to different sites it is assumed that the somatic association suppressor gene has a broad effect on the tubulin molecules which is not confined to a single site. The relevance of genetic control of antitubulin binding to somatic association is discussed.     

Association between interleukin-10 promoter polymorphisms and endometriosis: A meta-analysis

To investigate the influence of the interleukin-10 gene promoter polymorphisms on the susceptibility of endometriosis, we examined the association by performing a meta-analysis. The PubMed, Embase, HuGE Navigator and CNKI were searched to identify eligible studies. We then conducted a meta-analysis to examine the association between interleukin-10 gene promoter polymorphisms and endometriosis. Eight case–control studies which examined the association between the IL-10 gene promoter polymorphisms and the susceptibility to endometriosis were finally included in the meta-analysis. Meta-analysis of the IL-10 − 592 A/C polymorphisms showed a significant increased risk of endometriosis in the overall and Asian population in all genetic models and allele contrast. However, meta-analysis of the IL-10 − 1082 A/G and IL-10 − 819 T/C polymorphisms showed no association with endometriosis in all genetic models and allele contrast in the overall and Asian population samples. In addition, there was not a significant association between the IL-10 − 592 A/C gene promoter polymorphisms with the severity of endometriosis.     

Association between miR-146a rs2910164 polymorphism and autoimmune diseases susceptibility: A meta-analysis

Published data on the rs2910164 in microRNA-146a (miR-146a) are shown to be associated with increased or decreased autoimmune diseases risk. To derive a more precise estimation of the relationship, we performed a meta-analysis to systematically summarize the possible. A meta-analysis including 11 studies with 3042 controls and 2197 cases was performed for genotypes CC (recessive effect), CC + CG (dominant effect) and C allele in fixed or random-effects models based on between-study heterogeneity. Overall, no significant association between miR-146a G/C rs2910164 polymorphism and autoimmune diseases risk was found in all genetic models when all studies were pooled into the meta-analysis. SLE (OR = 0.99, 95% CI: 0.90–1.10), RA (OR = 0.98, 95% CI: 0.85–1.14) did not yield statistical significance as for C allele pooled studies. In the subgroup analysis by ethnicity, still no significant association was detected in all genetic models. Our meta-analysis suggests that there is no association between miR-146a G/C rs2910164 polymorphism and the development of autoimmune diseases.     

Association of genetic variants in enamel-formation genes with dental caries: A meta- and gene-cluster analysis

Previous studies have reported the association between multiple genetic variants in the enamel-formation genes and the risk of dental caries with inconsistent results. We performed a systematic literature search of the PubMed, Cochrane Library, HuGE and Google Scholar databases for studies published before March 21, 2020 and conducted meta-, gene-based and gene-cluster analysis on the association between genetic variants in the enamel-formation genes and the risk of dental caries. We identified 21 relevant publications including a total of 24 studies for analysis. The genetic variant rs17878486 in AMELX was significantly associated with dental caries risk (OR = 1.40, 95% CI: 1.02–1.93, P = 0.037). We found no significant association between the risk of dental caries with rs12640848 in ENAM (OR = 1.15, 95% CI: 0.88–1.52, P = 0.310), rs1784418 in MMP20 (OR = 1.07, 95% CI: 0.76–1.49, P = 0.702) and rs3796704 in ENAM (OR = 1.06, 95% CI: 0.96–1.17, P = 0.228). Gene-based analysis indicated that multiple genetic variants in AMELX showed joint association with the risk of dental caries (6 variants; P < 10⁻⁵), so did genetic variants in MMP13 (3 variants; P = 0.004), MMP2 (3 variants; P < 10⁻⁵), MMP20 (2 variants; P < 10⁻⁵) and MMP3 (2 variants; P < 10⁻⁵). The gene-cluster analysis indicated a significant association between the genetic variants in this enamel-formation gene cluster and the risk of dental caries (P < 10⁻⁵). The present meta-analysis revealed that genetic variant rs17878486 in AMELX was associated with dental caries, and multiple genetic variants in the enamel-formation genes jointly contributed to the risk of dental caries, supporting the role of genetic variants in the enamel-formation genes in the etiology of dental caries.     

Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression

Genomic association analyses of complex traits demand statistical tools that are capable of detecting small effects of common and rare variants and modeling complex interaction effects and yet are computationally feasible. In this work, we introduce a similarity-based regression method for assessing the main genetic and interaction effects of a group of markers on quantitative traits. The method uses genetic similarity to aggregate information from multiple polymorphic sites and integrates adaptive weights that depend on allele frequencies to accomodate common and uncommon variants. Collapsing information at the similarity level instead of the genotype level avoids canceling signals that have the opposite etiological effects and is applicable to any class of genetic variants without the need for dichotomizing the allele types. To assess gene-trait associations, we regress trait similarities for pairs of unrelated individuals on their genetic similarities and assess association by using a score test whose limiting distribution is derived in this work. The proposed regression framework allows for covariates, has the capacity to model both main and interaction effects, can be applied to a mixture of different polymorphism types, and is computationally efficient. These features make it an ideal tool for evaluating associations between phenotype and marker sets defined by linkage disequilibrium (LD) blocks, genes, or pathways in whole-genome analysis.     

Colour polymorphism in Drosophila mediopunctata: genetic (chromosomal) analysis and nonrandom association with chromosome inversions

The presence of three dark spots on the abdomen is typical of the tripunctata group of Drosophila, which is the second largest Neotropical group, with 56 species. In some species, such as D. mediopunctata, the colour pattern varies considerably: ranging from flies showing no spots up to flies with three dark spots. In this paper, we present a genetic (chromosomal) analysis of this character showing that this colour polymorphism is genetically determined mainly by the second chromosome. Since this chromosome is the most polymorphic for inversions in this species, we also examined the influence of the inversions on this character. We used strains in which different second chromosomes were placed on the same genetic background and the offspring between them. We found a nonrandom association between the number of spots and the inversions PA0 and PC0. Thus, our results are consistent with the idea that the factors or genes determining a conspicuous polymorphism are likely to be associated, forming a supergene, and this association would be most efficiently accomplished through a chromosome inversion. Moreover, this is the first time that an association between a conspicuous morphological polymorphism and chromosome inversions has been described.     

Heritability and genome-wide linkage analysis of migraine in the genetic isolate of Norfolk Island

Migraine is a common neurovascular disorder with a complex envirogenomic aetiology. In an effort to identify migraine susceptibility genes, we conducted a study of the isolated population of Norfolk Island, Australia. A large portion of the permanent inhabitants of Norfolk Island are descended from 18th Century English sailors involved in the infamous mutiny on the Bounty and their Polynesian consorts.In total, 600 subjects were recruited including a large pedigree of 377 individuals with lineage to the founders. All individuals were phenotyped for migraine using International Classification of Headache Disorders-II criterion. All subjects were genotyped for a genome-wide panel of microsatellite markers. Genotype and phenotype data for the pedigree were analysed using heritability and linkage methods implemented in the programme SOLAR. Follow-up association analysis was performed using the CLUMP programme.A total of 154 migraine cases (25%) were identified indicating the Norfolk Island population is high-risk for migraine. Heritability estimation of the 377-member pedigree indicated a significant genetic component for migraine (h² = 0.53, P = 0.016). Linkage analysis showed peaks on chromosome 13q33.1 (P = 0.003) and chromosome 9q22.32 (P = 0.008). Association analysis of the key microsatellites in the remaining 223 unrelated Norfolk Island individuals showed evidence of association, which strengthen support for the linkage findings (P ≤ 0.05).In conclusion, a genome-wide linkage analysis and follow-up association analysis of migraine in the genetic isolate of Norfolk Island provided evidence for migraine susceptibility loci on chromosomes 9q22.22 and 13q33.1.     

Genetic variation, population structure, and linkage disequilibrium in European elite germplasm of perennial ryegrass

Perennial ryegrass (Lolium perenne L.) is a highly valued temperate climate grass species grown as forage crop and for amenity uses. Due to its outbreeding nature and recent domestication, a high degree of genetic diversity is expected among cultivars. The aim of this study was to assess the extent of linkage disequilibrium (LD) within European elite germplasm and to evaluate the appropriate methodology for genetic association mapping in perennial ryegrass. A high level of genetic diversity was observed in a set of 380 perennial ryegrass elite genotypes when genotyped with 40 SSRs and 2 STS markers. A Bayesian structure analysis identified two subpopulations, which were confirmed by principal coordinate analysis (PCoA). One subpopulation consisted mainly of genotypes originating from the UK, while germplasm mostly from Continental Europe was grouped into the second subpopulation. LD (r²) decay was rapid and occurred within 0.4 cM across European varieties, when population structure was taken into consideration. However, an extended LD of up to 6.6 cM was detected within the variety Aberdart. High genetic diversity and rapid LD decay provide means for high resolution association mapping in elite materials of perennial ryegrass. However, different strategies need to be applied depending on the material used. Genome-wide association study (GWAS) with several hundred markers can be applied within synthetic varieties to identify large (up to 10 cM) genomic regions affecting trait variation. A combination of available and novel DNA markers is needed to achieve resolution required for GWAS in elite breeding materials. An even higher marker density of several million SNPs might be needed for GWAS in diverse ecotype collections, potentially resulting in quantitative trait polymorphism (QTP) identification.     

A genetic variant in the gene encoding the stress70 protein chaperone family member STCH is associated with gastric cancer in the Japanese population

Association analysis, based on linkage disequilibrium between specific alleles in the candidate loci and nearby genetic markers, has been proposed to identify genes conferring susceptibility to multifactorial diseases. Using the affected sib-pair method, we previously mapped four candidate chromosomal regions, 1p32, 2q33-q35, 11p13-p14, and 21q21, for gastric cancer by linkage analysis. To identify genes involved in the disease, we performed a gene-based association analysis of 66 genes, located on 21p11-21q22, using 126 single nucleotide polymorphisms (SNPs) as genetic markers in 373 patients with 250 controls. We found a significant association of five SNPs in the stress70 protein chaperon family member STCH gene with gastric cancer, especially with the non-cardia localization subgroup (P = 0.0005-0.02, odds ratio = 1.44-1.72). Comparisons of haplotype frequency showed significant association between TTGGC haplotype and gastric cancer (P = 0.0001, odds ratio = 1.59). These results suggest that, in the Japanese population, STCH might be a new candidate for conferring susceptibility to this disease.     

Forkhead-box-O1 locus y marcadores metabólicos en los ancianos: estudio de asociación

Introduction

Mutations of forkhead-box-O1 (FOXO1) gene at locus 13q14.1 cause changes in biochemical parameters leading to premature aging. Protein FoxO1 participates in the regulation of biochemical pathways, including those influencing the regulation of lipid profile and glucose metabolism. These parameters are a risk factor for all-cause mortality in the elderly population. The aim of this study was to investigate the relationship between FOXO1 locus and metabolic-nutritional markers.

Material and methods

Single-nucleotide polymorphisms (SNP) rs2721069, rs4943794 and rs7981045 were determined in 594 hospitalized elderly (65-99 years), patients consecutively admitted to a geriatric ward, and tested the association of FOXO1 variants with biological markers by the analyses of co-variance (ANCOVA) and by Genotype Score Model statistic.

Results

The ANCOVA analysis, under different genetic models, revealed significant associations. In particular, assuming a dominant genetic model, a significant association with serum levels of fasting glucose was observed for rs2721069 (P = .034) and rs4943794 (P = .012). For rs4943794 a significant association assuming a free genetic model (P = .039) and an additive one (P = .012) was also observed. No significant relationship was observed between rs7981045 and the analyzed markers. The Genotype Score Model analysis confirmed a significant association between FOXO1 SNP and fasting glucose, taking the SNP rs2721069 and rs4943794 together (P = .048; β = 3.198).

Conclusions

Aging is a complex process, resulting from the interaction between several factors, including environmental and genetic ones. Our findings suggest that FOXO1 locus may influence blood glucose levels in hospitalized older patients, thus being one of the genetic factors contributing to healthy aging.     

A synonymous mutation in NOD2 gene was significantly associated with non-specific digestive disorder in rabbit

Nucleotide-binding oligomerization domain containing 2 (NOD2) plays a pivotal role in the host innate and adaptive immunity by recognizing the pathogenic agents. Therefore, its genetic polymorphisms and association with susceptibility to infectious diseases have been widely reported in human and farm animals. In the present study, we investigated the genetic polymorphisms in 3171 bp coding region of NOD2 gene and association with non-specific digestive disorder (NSDD) in rabbit. A total of four coding single-nucleotide polymorphisms (cSNPs) were detected. Among them, c.2961C>T was further genotyped for case (n = 176) and control (n = 130) based on association analysis, which revealed that C allele carried the potential protective role for susceptibility to NSDD with the odds ratio (OR) values of 0.52 (95% confidence interval (CI) 0.37–0.73, P < 0.01). Under the dominant inheritance model, CC genotype was associated with decreased susceptibility to NSDD (OR = 0.38, 95% CI 0.24–0.60, P < 0.01). Along with the aggravation of NSDD, we observed higher mRNA expression of NOD2 gene (P < 0.05). However, the mRNA expression pattern of CC genotype would be interacted by the different status of NSDD, which only showed the significantly increased level in severe NSDD group (P < 0.05). These results revealed by genetic association and gene expression analysis suggested that the NOD2 gene was associated with the susceptibility to NSDD in rabbit. However, the causative mutations linked to c.2961C>T and corresponding functional depiction should be further explored by performing exhaustive genetic studies.     

Identification of Multiple Genetic Susceptibility Loci in Takayasu Arteritis

Takayasu arteritis is a rare inflammatory disease of large arteries. The etiology of Takayasu arteritis remains poorly understood, but genetic contribution to the disease pathogenesis is supported by the genetic association with HLA-B^∗52. We genotyped ∼200,000 genetic variants in two ethnically divergent Takayasu arteritis cohorts from Turkey and North America by using a custom-designed genotyping platform (Immunochip). Additional genetic variants and the classical HLA alleles were imputed and analyzed. We identified and confirmed two independent susceptibility loci within the HLA region (r² < 0.2): HLA-B/MICA (rs12524487, OR = 3.29, p = 5.57 × 10⁻¹⁶) and HLA-DQB1/HLA-DRB1 (rs113452171, OR = 2.34, p = 3.74 × 10⁻⁹; and rs189754752, OR = 2.47, p = 4.22 × 10⁻⁹). In addition, we identified and confirmed a genetic association between Takayasu arteritis and the FCGR2A/FCGR3A locus on chromosome 1 (rs10919543, OR = 1.81, p = 5.89 × 10⁻¹²). The risk allele in this locus results in increased mRNA expression of FCGR2A. We also established the genetic association between IL12B and Takayasu arteritis (rs56167332, OR = 1.54, p = 2.18 × 10⁻⁸).     

Comparison of three methods to estimate genetic ancestry and control for stratification in genetic association studies among admixed populations

Population stratification may confound the results of genetic association studies among unrelated individuals from admixed populations. Several methods have been proposed to estimate the ancestral information in admixed populations and used to adjust the population stratification in genetic association tests. We evaluate the performances of three different methods: maximum likelihood estimation, ADMIXMAP and Structure through various simulated data sets and real data from Latino subjects participating in a genetic study of asthma. All three methods provide similar information on the accuracy of ancestral estimates and control type I error rate at an approximately similar rate. The most important factor in determining accuracy of the ancestry estimate and in minimizing type I error rate is the number of markers used to estimate ancestry. We demonstrate that approximately 100 ancestry informative markers (AIMs) are required to obtain estimates of ancestry that correlate with correlation coefficients more than 0.9 with the true individual ancestral proportions. In addition, after accounting for the ancestry information in association tests, the excess of type I error rate is controlled at the 5% level when 100 markers are used to estimate ancestry. However, since the effect of admixture on the type I error rate worsens with sample size, the accuracy of ancestry estimates also needs to increase to make the appropriate correction. Using data from the Latino subjects, we also apply these methods to an association study between body mass index and 44 AIMs. These simulations are meant to provide some practical guidelines for investigators conducting association studies in admixed populations.     

A polymorphism of matrix Gla protein gene is associated with kidney stone in the Chinese Han population

Purpose

Matrix Gla protein (MGP) is a molecular determinant regulating the extracellular matrix calcification. To further confirm whether the MGP genetic polymorphism was universally associated with the risk of kidney stone, we investigated the association of genetic polymorphisms of MGP with kidney stone in the Chinese Han population.

Materials and methods

728 subjects were recruited for the study. We firstly re-sequenced the human genomic MGP gene including the 1500 bp promoter, 5′-UTR, 4 exons and 3′-untranslated regions, identified single nucleotide polymorphisms (SNPs) in MGP, and performed an association analysis with kidney stones in 54 subjects of the Chinese Han population. A candidate tag SNP was genotyped in total subjects using an allele specific PCR, and further analyzed the association with kidney stone.

Results

We identified 18 polymorphisms including four tag SNPs. A tag SNPrs4236 was associated with kidney stones. The G allele carrier had a 1.373-fold reduced kidney stone risk compared with A allele carriers in SNPrs4236 (odds ratios (OR) = 1.373; 95%CI, 1.051–1.793; p = 0.019). However, we did not find an association between the polymorphism and clinical characteristics of kidney stones.

Conclusions

Our findings showed that SNPrs4236 of the MGP gene is associated with kidney stones in the Chinese Han population, and influences the genetic susceptibility to kidney stones. In the future, functional assays of the polymorphism should permit a better understanding of the role of MGP genetic variants and kidney stones.     

Association of adiponectin promoter variants with traits and clusters of metabolic syndrome in Arabs: Family-based study

Plasma levels of adiponectin are decreased in type 2 diabetes, obesity and hypertension. Our aim was to use a family-based analysis to identify the genetic variants of the adiponectin (ADIPOQ) gene that are associated with obesity, insulin resistance, dyslipidemia and hypertension, among Arabs. We screened 328 Arabs in one large extended family for single nucleotide polymorphisms (SNPs) in the promoter region of the ADIPOQ gene. Two common SNPs were detected: rs17300539 and rs266729. Evidences of association between traits related to the metabolic syndrome and the SNPs were studied by implementing quantitative genetic association analysis. Results showed that SNP rs266729 was significantly associated with body weight (p-value = 0.001), waist circumference (p-value = 0.037), BMI (p-value = 0.015) and percentage of total body fat (p-value = 0.003). Up to 4.1% of heritability of obesity traits was explained by the rs266729 locus. Further cross-sectional analysis showed that carriers of the G allele had significantly higher values of waist circumference, BMI and percentage of total body fat (p-values 0.014, 0.004 and 0.032, respectively). No association was detected between SNP rs266729 and other clusters of metabolic syndrome or their traits except for HOMA-IR and fasting plasma insulin levels, p-values 0.035 and 0.004, respectively. In contrast, both measured genotype and cross-sectional analysis failed to detect an association between the SNP rs17300539 with traits and clusters of metabolic syndrome. In conclusion, we showed family-based evidence of association of SNP rs266729 at ADIPOQ gene with traits defining obesity in Arab population. This is important for future prediction and prevention of obesity in population where obesity is in an increasing trend.     

The impact of genetic variation and cigarette smoke on DNA methylation in current and former smokers from the COPDGene study

DNA methylation can be affected by systemic exposures, such as cigarette smoking and genetic sequence variation; however, the relative impact of each on the epigenome is unknown. We aimed to assess if cigarette smoking and genetic variation are associated with overlapping or distinct sets of DNA methylation marks and pathways. We selected 85 Caucasian current and former smokers with genome-wide single nucleotide polymorphism (SNP) genotyping available from the COPDGene study.  Genome-wide methylation was obtained on DNA from whole blood using the Illumina HumanMethylation27 platform. To determine the impact of local sequence variation on DNA methylation (mQTL), we examined the association between methylation and SNPs within 50 kb of each CpG site.  To examine the impact of cigarette smoking on DNA methylation, we examined the differences in methylation by current cigarette smoking status. We detected 770 CpG sites annotated to 708 genes associated at an FDR < 0.05 in the cis-mQTL analysis and 1,287 CpG sites annotated to 1,242 genes, which were nominally associated in the smoking-CpG association analysis (P_unadjusted < 0.05). Forty-three CpG sites annotated to 40 genes were associated with both SNP variation and current smoking; this overlap was not greater than that expected by chance. Our results suggest that cigarette smoking and genetic variants impact distinct sets of DNA methylation marks, the further elucidation of which may partially explain the variable susceptibility to the health effects of cigarette smoking. Ascertaining how genetic variation and systemic exposures differentially impact the human epigenome has relevance for both biomarker identification and therapeutic target development for smoking-related diseases.     

Genetic predisposition to obesity and risk of subclinical atherosclerosis

Obesity has been associated with increased common carotid artery (CCA) intima–media thickness (IMT), a measure of subclinical atherosclerosis. We assessed the association between genetic predisposition to obesity and CCA IMT. The study included 428 young Chinese adults with CCA IMT measured using a high-resolution B-mode tomographic ultrasound system. We created a genetic risk score (GRS) by summing the risk alleles of 6 obesity-associated genetic variants confirmed in our previous analyses. The GRS was significantly associated with greater CCA IMT (p < 0.001) after adjustment for age and gender. Per 2 alleles of the GRS was related to 0.023 mm increment in IMT. The association was attenuated by one half with additional adjustment for obesity status, but remained significant (p = 0.009). In addition, we found that blood pressure significantly modified the association between the GRS and CCA IMT (p for interaction = 0.001). The associations between the GRS and CCA IMT were stronger in participants with systolic blood pressure (SBP) ≥ 120 mm Hg and/or diastolic blood pressure (DBP) ≥ 80 mm Hg (per 2 allele increment of the GRS relating to 0.028 mm greater CCA IMT, p for trend < 0.001) than those with SBP < 120 mm Hg and DBP < 80 mm Hg (per 2 allele increment of the GRS relating to 0.001 smaller CCA IMT, p for trend = 0.930). Our data provides suggestive evidence supporting the potential causal relation between obesity and development of subclinical atherosclerosis. Elevated blood pressure might amplify the adverse effect of obesity on cardiovascular risk.     

Methylenetetrahydrofolate reductase C677T variant in Moroccan patients with inflammatory bowel disease

Background

The association of genetic polymorphisms related to metabolism of homocysteine and folate with inflammatory bowel disease has been evidenced. Several studies have identified genetic variants of MTHFR as significant susceptibility loci for Crohn's disease (CD) and ulcerative colitis (UC). The C677T genetic polymorphism in the MTHFR gene is found to be associated with a thermolabile variant enzyme that shows a reduced activity. Therefore, we investigated whether the C677T variant confers genetic susceptibility to CD or UC and evaluated the genotype–phenotype associations in the Moroccan population.

Methods

The present study included 96 inflammatory bowel disease patients (68 patients with CD and 28 with UC) and 182 healthy controls. DNA samples were genotyped for the MTHFR (C677T) mutation by the PCR-RFLP method. Statistical analyzes were performed using MedCalc software, Chi square test and Fisher test.

Results

The respective odds ratio for CD, UC and control group were, 1.55 (CI 95%: 0.53–4.53, P = 0.52); 0.50 (CI 95%: 0.06–4.15, P = 0.52) and 0.50 (CI 95%: 0.06–4.15, P = 0.52). Thus, no statistically significant association with the disease was observed in frequency of the TT variant in comparison to healthy controls. Stratification of IBD patients on the basis of CD or UC showed that individuals carrying at least one T allele are not protected against Crohn's disease. Furthermore, clinical features of the disease did not show any significant association.

Conclusion

In conclusion, the present study indicates that the genetic risk for IBD is not modulated by MTHFR C677T polymorphism in Moroccan population.