Gene–gene and gene–environment interactions in ulcerative colitis

Genome-wide association studies (GWAS) have identified at least 133 ulcerative colitis (UC) associated loci. The role of genetic factors in clinical practice is not clearly defined. The relevance of genetic variants to disease pathogenesis is still uncertain because of not characterized gene–gene and gene–environment interactions. We examined the predictive value of combining the 133 UC risk loci with genetic interactions in an ongoing inflammatory bowel disease (IBD) GWAS. The Wellcome Trust Case–Control Consortium (WTCCC) IBD GWAS was used as a replication cohort. We applied logic regression (LR), a novel adaptive regression methodology, to search for high-order interactions. Exploratory genotype correlations with UC sub-phenotypes [extent of disease, need of surgery, age of onset, extra-intestinal manifestations and primary sclerosing cholangitis (PSC)] were conducted. The combination of 133 UC loci yielded good UC risk predictability [area under the curve (AUC) of 0.86]. A higher cumulative allele score predicted higher UC risk. Through LR, several lines of evidence for genetic interactions were identified and successfully replicated in the WTCCC cohort. The genetic interactions combined with the gene-smoking interaction significantly improved predictability in the model (AUC, from 0.86 to 0.89, P = 3.26E?05). Explained UC variance increased from 37 to 42 % after adding the interaction terms. A within case analysis found suggested genetic association with PSC. Our study demonstrates that the LR methodology allows the identification and replication of high-order genetic interactions in UC GWAS datasets. UC risk can be predicted by a 133 loci and improved by adding gene–gene and gene–environment interactions.     

Comparison of β-adrenergic and glucocorticoid signaling on clock gene and osteoblast-related gene expressions in human osteoblast

Most living organisms exhibit circadian rhythms that are generated by endogenous circadian clocks, the master one being present in the suprachiasmatic nuclei (SCN). Output signals from the SCN are believed to transmit standard circadian time to peripheral tissue through sympathetic nervous system and humoral routes. Therefore, the authors examined the expression of clock genes following treatment with the β-adrenergic receptor agonist, isoprenaline, or the synthetic glucocorticoid, dexamethasone, in cultured human osteoblast SaM-1 cells. Cells were treated with 10(-6) M isoprenaline or 10(-7) M dexamethasone for 2?h and gene expressions were determined using real-time polymerase chain reaction (PCR) analysis. Treatment with isoprenaline or dexamethasone induced the circadian expression of clock genes human period 1 (hPer1), hPer2, hPer3, and human brain and muscle Arnt-like protein 1 (hBMAL1). Isoprenaline or dexamethasone treatment immediately increased hPer1 and hPer2 and caused circadian oscillation of hPer1 and hPer2 with three peaks within 48?h. hPer3 expression had one peak after isoprenaline or dexamethasone treatment. hBMAL expression had two peaks after isoprenaline or dexamethasone treatment, the temporal pattern being in antiphase to that of the other clock genes. Dexamethasone treatment delayed the oscillation of all clock genes for 2-6?h compared with isoprenaline treatment. The authors also examined the expression of osteoblast-related genes hα-1 type I collagen (hCol1a1), halkaline phosphatase (hALP), and hosteocalcin (hOC). Isoprenaline induced oscillation of hCol1a1, but not hALP and hOC. On the other hand, dexamethasone induced oscillation of hCol1a1 and hALP, but not hOC. Isoprenaline up-regulated hCol1a1 expression, but dexamethasone down-regulated hCol1a1 and hALP expression in the first phase.     

Culture–gene coevolution of individualism–collectivism and the serotonin transporter gene

Culture–gene coevolutionary theory posits that cultural values have evolved, are adaptive and influence the social and physical environments under which genetic selection operates. Here, we examined the association between cultural values of individualism–collectivism and allelic frequency of the serotonin transporter functional polymorphism (5-HTTLPR) as well as the role this culture–gene association may play in explaining global variability in prevalence of pathogens and affective disorders. We found evidence that collectivistic cultures were significantly more likely to comprise individuals carrying the short (S) allele of the 5-HTTLPR across 29 nations. Results further show that historical pathogen prevalence predicts cultural variability in individualism–collectivism owing to genetic selection of the S allele. Additionally, cultural values and frequency of S allele carriers negatively predict global prevalence of anxiety and mood disorder. Finally, mediation analyses further indicate that increased frequency of S allele carriers predicted decreased anxiety and mood disorder prevalence owing to increased collectivistic cultural values. Taken together, our findings suggest culture–gene coevolution between allelic frequency of 5-HTTLPR and cultural values of individualism–collectivism and support the notion that cultural values buffer genetically susceptible populations from increased prevalence of affective disorders. Implications of the current findings for understanding culture–gene coevolution of human brain and behaviour as well as how this coevolutionary process may contribute to global variation in pathogen prevalence and epidemiology of affective disorders, such as anxiety and depression, are discussed.     

Novel and recurrent mutations in the tyrosinase gene and the P gene in the German albino population

Albinism is a heterogeneous group of genetic disorders resulting from deficiencies in pigmentation. Clinically, it is divided into ocular (OA) and oculocutaneous albinism (OCA). OCA involves lack of pigment in the skin, hair, and eyes and results from mutations in the tyrosinase gene or in the P gene. OA mainly affects pigmentation in the visual system and may be a mild form of OCA or may be caused by other genetic defects. Clinical diagnosis of albinism type is difficult, because of the observed range of phenotypic variation. Thus, genetic analysis may be helpful with respect to a more accurate diagnosis. Here, we report the mutational profile, determined by genetic analysis of the tyrosinase and P genes, of a large German albino population. We have revealed a total of 42 distinct mutations, 19 of which are novel. Of the 74 unrelated patients screened, 32 (43%) had mutations in the tyrosinase gene, 16 (22%) had P gene mutations, and 26 (35%) patients had no detectable genetic abnormalities. This defines a population of albino patients who are tyrosinase-gene- and P-gene-negative and who thus may represent a good study group for searching for additional genes associated with albinism.     

The interplay between chromosome stability and cell cycle control explored through gene–gene interaction and computational simulation

Chromosome stability models are usually qualitative models derived from molecular-genetic mechanisms for DNA repair, DNA synthesis, and cell division. While qualitative models are informative, they are also challenging to reformulate as precise quantitative models. In this report we explore how (A) laboratory experiments, (B) quantitative simulation, and (C) seriation algorithms can inform models of chromosome stability. Laboratory experiments were used to identify 19 genes that when over-expressed cause chromosome instability in the yeast Saccharomyces cerevisiae. To better understand the molecular mechanisms by which these genes act, we explored their genetic interactions with 18 deletion mutations known to cause chromosome instability. Quantitative simulations based on a mathematical model of the cell cycle were used to predict the consequences of several genetic interactions. These simulations lead us to suspect that the chromosome instability genes cause cell-cycle perturbations. Cell-cycle involvement was confirmed using a seriation algorithm, which was used to analyze the genetic interaction matrix to reveal an underlying cyclical pattern. The seriation algorithm searched over 10¹⁴ possible arrangements of rows and columns to find one optimal arrangement, which correctly reflects events during cell cycle phases. To conclude, we illustrate how the molecular mechanisms behind these cell cycle events are consistent with established molecular interaction maps.     

Gene–environment and gene–gene interactions of specific MTHFR,MTR and CBS gene variants in relation to homocysteine in black South Africans

The methylenetetrahydrofolate reductase (MTHFR), cystathione-β-synthase (CBS) and methionine synthase (MTR) genes interact with each other and the environment. These interactions could influence homocysteine (Hcy) and diseases contingent thereon. We determined single nucleotide polymorphisms (SNPs) within these genes, their relationships and interactions with total Hcy concentrations within black South Africans to address the increased prevalence of diseases associated with Hcy. The MTHFR 677 TT and MTR 2756 AA genotypes were associated with higher Hcy concentrations (16.6 and 10.1 μmol/L; p < 0.05) compared to subjects harboring the MTHFR 677 CT/CC and the MTR 2756 AG genotypes (10.5, 9.7 and 9.5 μmol/L, respectively). The investigated CBS genotypes did not influence Hcy. We demonstrated interactions between the area of residence and the CBS T833C/844ins68 genotypes (p = 0.005) so that when harboring the wildtype allele, rural subjects had significantly higher Hcy than their urban counterparts, but when hosting the variant allele the environment made no difference to Hcy. Between the CBS T833C/844ins68 or G9276A and MTHFR C677T genotypes, there were two-way interactions (p = 0.003 and = 0.004, respectively), with regard to Hcy. Subjects harboring the MTHFR 677 TT genotype in combination with the CBS 833 TT/homozygous 844 non-insert or the MTHFR 677 TT genotype in combination with the CBS 9276 GA/GG displayed higher Hcy concentrations.     

Natural and orthogonal model for estimating gene–gene interactions applied to cutaneous melanoma

Epistasis, or gene–gene interaction, results from joint effects of genes on a trait; thus, the same alleles of one gene may display different genetic effects in different genetic backgrounds. In this study, we generalized the coding technique of a natural and orthogonal interaction (NOIA) model for association studies along with gene–gene interactions for dichotomous traits and human complex diseases. The NOIA model which has non-correlated estimators for genetic effects is important for estimating influence from multiple loci. We conducted simulations and data analyses to evaluate the performance of the NOIA model. Both simulation and real data analyses revealed that the NOIA statistical model had higher power for detecting main genetic effects and usually had higher power for some interaction effects than the usual model. Although associated genes have been identified for predisposing people to melanoma risk: HERC2 at 15q13.1, MC1R at 16q24.3 and CDKN2A at 9p21.3, no gene–gene interaction study has been fully explored for melanoma. By applying the NOIA statistical model to a genome-wide melanoma dataset, we confirmed the previously identified significantly associated genes and found potential regions at chromosomes 5 and 4 that may interact with the HERC2 and MC1R genes, respectively. Our study not only generalized the orthogonal NOIA model but also provided useful insights for understanding the influence of interactions on melanoma risk.     

Correlations between genetic variance and adiposity measures,and gene × gene interactions for obesity in postmenopausal Vietnamese women

Although environmental factors are important, there is considerable evidence that genes also have a significant role in the pathogenesis of obesity. We conducted a population-based study to investigate the relationship between candidate genes for obesity (UCP1, UCP2, ADRA2B, ADRB3, LEPR, VDR and ESR1) and adiposity measures (body mass index, body fat percentage, weight, waist circumference and waist–hip ratio) in terms of individual gene and gene × gene interaction in models unadjusted and adjusted for covariates (age, years since menopause, educational level and total energy intake). Postmenopausal women with TC genotype of ESR1 gene had higher body fat percentage than those with TT genotype in the models unadjusted and adjusted for the covariates (P = 0.006 in adjusted model). In multiple logistic regression analysis, BsmI and ApaI SNPs of VDR genes were significantly associated with overweight and obesity. The UCP2–VDR ApaI interaction to susceptibility of overweight and obesity was first observed from logistic regression analysis, and then confirmed in the multifactor dimensionality reduction method unadjusted and adjusted for the covariates. This interaction had 69.09% prediction accuracy for overweight and obesity (P = 0.001, sign test). In conclusion, the study suggests the significant association of ESR1 and VDR genes with adiposity measures and the UCP2–VDR ApaI interaction to susceptibility to being overweight and obesity in postmenopausal Vietnamese women.     

One gene and one outcome? No way

The world of molecular diagnostics is undergoing major change because of both technical advances and the availability of rapidly expanding genetic databases generated by the study of human genomics. These resources comprise an extraordinary opportunity to decipher the biological importance of genetic aberrations, and link our understanding with clinical utility. The challenge lies in sorting through the information and developing effective strategies to advance molecular diagnostics.     

Plastocyanin–ferredoxin oxidoreduction and endosymbiotic gene transfer

Sequence similarities of proteins associated with plastocyanin-ferredoxin oxidoreduction (PcFdOR) activity of Photosystem I (PSI) were grouped and compared. PsaA, psaB, psaC, and petG represent genes that have been retained in the chloroplasts of both green- and red-lineage species. PsaD, psaE, psaF, and petF represent genes that have been retained in the chloroplast of red-lineage species, but have been transferred to the nuclear genome of green-lineage species. Translated sequences from red- and green-lineage proteins were compared to that of contemporary cyanobacteria, Synechocystis PCC 6803, and Gloeobacter violaceus PCC 7421. Within the green lineage, a lower level of sequence conservation coincided with gene transfer to the nuclear genome. Surprisingly, a similar pattern of sequence conservation existed for the same set of genes found in the red lineage even though all those genes were retained in their chloroplast genomes. This discrepancy between green and red lineage is discussed in terms of endosymbiotic gene transfer.     

Phytosterols and phytosterolemia: gene–diet interactions

Phytosterol intake is recommended as an adjunctive therapy for hypercholesterolemia, and plant sterols/stanols can reduce cholesterol absorption at the intestinal lumen through the Niemann-Pick C1 Like 1 (NPC1L1) transporter pathway by competitive solubilization in mixed micelles. Phytosterol absorption is of less magnitude than cholesterol and is preferably secreted in the intestinal lumen by ABCG5/G8 transporters. Therefore, plasma levels of plant sterols/stanols are negligible compared with cholesterol, under an ordinary diet. The mechanisms of cholesterol and plant sterols absorption and the whole-body pool of sterols are discussed in this chapter. There is controversy about treatment with statins inducing further increase in plasma non-cholesterol sterols raising concerns about the safety of supplementation of plant sterols to such drugs. In addition, increase in plant sterols has also been reported upon consumption of plant sterol-enriched foods, regardless of other treatments. Rare mutations on ABCG5/G8 transporters affecting cholesterol/non-cholesterol extrusion, causing sitosterolemia with xanthomas and premature atheroslerotic disease are now known, and cholesterol/plant sterols absorption inhibitor, ezetimibe, emerges as the drug that reduces phytosterolemia and promotes xanthoma regression. On the other hand, common polymorphisms affecting the NPC1L1 transporter can interfere with the action of ezetimibe. Gene-diet interactions participate in this intricate network modulating the expression of genetic variants on specific phenotypes and can also affect the individual response to the hypolipidemic treatment. These very interesting aspects promoted a great deal of research in the field.     

Comparative and evolutionary analysis of α-amylase gene across monocots and dicots

α-amylase is an important enzyme involved in starch degradation to provide energy to the germinating seedling. The present study was conducted to reveal structural and functional evolution of this gene among higher plants. Discounting polyploidy, most plant species showed only a single copy of the gene making multiple isoforms in different tissues and developmental stages. Genomic length of the gene ranged from 1472 bp in wheat to 2369 bp in soybean, and the size variation was mainly due to differences in the number and size of introns. In spite of this variation, the intron phase distribution and insertion sites were mostly conserved. The predicted protein size ranged from 414 amino acid (aa) in soybean to 449aa in Brachypodium. Overall, the protein sequence similarity among orthologs ranged from 56.4 to 97.4 %. Key motifs and domains along with their relative distances were conserved among plants although several species, genera, and class specific motifs were identified. The glycosyl hydrolase superfamily domain length varied from 342aa in soybean to 384aa in maize and sorghum while length of the C-terminal β-sheet domain was highly conserved with 61aa in all monocots and Arabidopsis but was 59aa in soybean and Medicago. Compared to rice, 3D structure of the proteins showed 89.8 to 91.3 % similarity among the monocots and 72.7 to 75.8 % among the dicots. Sequence and relative location of the five key aa required for the ligand binding were highly conserved in all species except rice.     

Localization of the α2-macroglobulin gene and Lpm gene family on mink chromosome 9

Summary Using cloned cDNA for human ₂-macroglobulin (A2M) as a probe, mink-Chinese hamster hybrid cells were analysed. The results allowed us to assign a gene for A2M to mink chromosome 9. Breeding tests demonstrated that the Lpm-locus coding for other related -macroglobulin protein and the gene for peptidase B (PEPB) are linked 11±3 cm apart. The PEPB gene is located on mink chromosome 9, and hence, the Lpw-locus is on the same mink chromosome. The relationship of the genetic systems controlling the isotypically different -macroglobulins in mink serum are discussed.     

Cloning and expression of a chicken α-amylase gene

We have isolated and sequenced a genomic clone for a pancreatic α-amylase gene (amy) of the chicken (Gallus gallus). The gene is interrupted by nine introns, spans over 4 kb, and encodes a protein (AMY) of 512 aa that is 83% identical to the human pancreatic α-amylase enzyme. Southern blot analysis of chicken DNA revealed two distinct pancreatic amy loci. In addition, we have generated a cDNA from chicken pancreatic RNA corresponding to the coding sequence of the genomic clone. The cDNA was inserted into a yeast expression vector, and the resulting construct used to transform Saccharomyces cerevisiae cells. Transformed yeast cells synthesized and secreted active AMY enzyme, and the gel migration pattern of the α-amylase produced by the yeast cells was identical to that of the native chicken enzyme.     

Cloning and functional analysis of the Gβ gene Mgb1 and the Gγ gene Mgg1 in Monascus ruber

The ascomycetous fungus Monascus ruber is one of the most well-known species widely used to produce Monascus-fermentation products for natural food colorants and medicine. Our previous research on the Gα subunit Mga1 and the regulator of G protein signaling MrflbA indicated that heterotrimeric G protein signaling pathways were involved in aspects of growth, sporulation and secondary metabolite production in M. ruber. To better understand the G protein signaling pathways in this fungus, a Gβ subunit gene (Mgb1) and a GΓ subunit gene (Mgg1) were cloned and investigated in the current study. The predicted Mgb1 protein consisted of 353 amino acids and Mgg1 consisted of 94 amino acids, sharing marked similarity with Aspergillus Gβ and GΓ subunits, respectively. Targeted deletion (Δ) of Mgb1 or Mgg1 resulted in phenotypic alterations similar to those resulting from ΔMga1, i.e., restricted vegetative growth, lowered asexual sporulation, impaired cleistothecial formation, and enhanced citrinin and pigment production. Moreover, deletion of Mgg1 suppressed the defects in asexual development and in biosynthesis of citrinin and pigment caused by the absence of MrflbA function. These results provide evidence that Mgb1 and Mgg1 form a functional GβΓ dimer and the dimer interacts with Mga1 to mediate signaling pathways, which are negatively controlled by MrflbA, for growth, reproduction and citrinin and pigment biosynthesis in M. ruber.     

A spelt-specific γ-gliadin gene: discovery and detection

Polymerase chain reaction (PCR) primers GAG5 and GAG6 were designed based on published γ-gliadin gene sequences and applied to 35 cultivars of closely related spelt (Triticum spelta L.) and hexaploid wheat (T. aestivum L.). Eight tetraploid durum wheat (T. durum Desf.) cultivars were included in the analysis. The obtained PCR products originated from two γ-gliadin genes which were mapped to homeologous chromosomes 1B and 1D and termed GAG56B and GAG56D, respectively. Two alleles of GAG56D differing in a 9-bp deletion/duplication and single nucleotide polymorphism were found. The 18 spelts tested and wheat cultivar ’Chinese Spring’ were discovered to carry a previously unknown γ-gliadin gene, while 16 wheat cultivars possessed its longer, already published allele. Two PCR-based detection systems for the diagnostic alleles were developed and applied. The occurrence of two alleles of GAG56B among the investigated durum wheats correlated with their expression of gluten quality markers γ-gliadins 42 or 45. Received: 10 March 1999 / Accepted: 17 March 1999