The CDKN2A/p16INK4a 5′UTR sequence and translational regulation: impact of novel variants predisposing to melanoma

Many variants of uncertain functional significance in cancer susceptibility genes lie in regulatory regions, and clarifying their association with disease risk poses significant challenges. We studied 17 germline variants (nine of which were novel) in the CDKN2A 5′UTR with independent approaches, which included mono and bicistronic reporter assays, Western blot of endogenous protein, and allelic representation after polysomal profiling to investigate their impact on CDKN2A mRNA translation regulation. Two of the novel variants (c.‐27del23, c.‐93‐91delAGG) were classified as causal mutations (score ≥3), along with the c.‐21C>T, c.‐34G>T, and c.‐56G>T, which had already been studied by a subset of assays. The novel c.‐42T>A as well as the previously described c.‐67G>C were classified as potential mutations (score 1 or 2). The remaining variants (c.‐14C>T, c.‐20A>G, c.‐25C>T+c.‐180G>A, c.‐30G>A, c.‐40C>T, c.‐45G>A, c.‐59C>G, c.‐87T>A, c.‐252A>T) were classified as neutral (score 0). In conclusion, we found evidence that nearly half of the variants found in this region had a negative impact on CDKN2A mRNA translation, supporting the hypothesis that 5′UTR can act as a cellular Internal Ribosome Entry Site (IRES) to modulate p16^INK4a translation.     

Novel Mutation in the <Emphasis Type="Italic">MECP2</Emphasis> Gene Identified in a Group of Rett Syndrome Patients from Ukraine

Mutations in the MECP2 gene are known to cause Rett syndrome (RTT)—a neurodevelopmental disorder, one of the most common causes of intellectual disability in females, with an incidence of 1 in 10000–15000. We have investigated exons 3 and 4 of the MECP2 gene, that coding MBD and TRD domains of the MeCP2 protein, in 21 RTT patients from Ukraine by PCR-DGGE analysis followed by Sanger sequencing of PCR fragments with abnormal migration profiles. In 13 of 21 (61.9%) patients 7 different mutations were identified one nonsense mutation—c. NC_000023.11:g.154031326G>A (MECP2:c.502C>T) and 4 missense mutation NC_000023.11:g.154031409G>T (MECP2:c.419C>T), NC_000023.11:g.154031355G>A (MECP2:c.473C>T), NC_000023.11:g.154031354A>C (MECP2:c.472A>C), NC_000023.11:g.154031431G>A (MECP2:c.397C>T) located in exon 4, a rare RTT-causing splice site mutation NC_000023.10:g.153296903T>G (MECP2:c.378-2A>C) in intron 3 and deletion NC_000023.10:g.1532 96079_153296122del44 in exon 4. The novel mutation MECP2:c.472A>C identified in our study in patients withclassic RTT phenotype leds to T158P substitution. It is one more confirmation of crucial role that 158 codon in MECP2 protein function.     

Polymorphisms in the bovine ghrelin precursor (<Emphasis Type="Italic">GHRL</Emphasis>) and Syndecan-1 (<Emphasis Type="Italic">SDC1</Emphasis>) genes that are associated with growth traits in cattle

Transgenically expressed Syndecan-1 was found in the hypothalamic nuclei that control energy balance, and was associated with maturity-onset obesity, while ghrelin has been shown to play important roles in the control of food intake, gastric acid secretion, energy homeostasis, and glucose and lipid metabolism. However, the roles of genetic variations of Syndecan-1 and ghrelin on growth trait have few been reported in cattle. Herein, five Chinese cattle breeds were analyzed by PCR–SSCP and DNA sequencing methods. The bovine ghrelin gene showed eleven SNPs g.[267G>A, 271G>A, 290C>T, 326A>G, 327T>C, 420C>A, 569A>G, 945C>T, 993C>T, 4491A>G, 4644G>A] and three SNPs g.[420C>A, 569 A>G, 945C>T] were firstly detected in cattle. The bovine Syndecan-1 gene showed two SNPs. One SNP showed a transition C>G at position 21514, resulting in a synonymous mutation p.G(GGC)169G(GGG) and another showed a transversion C>T at position 22591, resulting in a synonymous mutation p.D(GAC)283D(GAT). In ghrelin gene, no significant associations were revealed between any variant sites and body weight, average daily gain, body sizes for different growth periods (6, 12, 18, and 24 months old), as well as for the milk yield at 305 days, milk protein rate and milk fat percentage. However, the polymorphism of Syndecan-1 gene was significantly associated with bovine birth weight and body length. Hence, we first suggested that Syndecan-1 gene could be regarded as molecular marker for superior birth weight and body length.     

Mutational screening of <Emphasis Type="BoldItalic">PKD2</Emphasis> gene in the north Indian polycystic kidney disease patients revealed 28 genetic variations

Polycystic kidney disease (PKD) is a systemic disorder which adds majority of renal patients to end stage renal disease. Autosomal dominant polycystic kidney disease (ADPKD) is more prevalent and leading cause of dialysis and kidney transplant. Linkage analysis revealed some closely linked loci, two of which are identified as PKD1, PKD2 and an unidentified locus to ADPKD. This study was performed using PCR and automated DNA sequencing in 84 cases and 80 controls to test potential candidature of PKD2 as underlying cause of PKD by in silico and statistical analyses. Two associated symptoms, hypertension (19%) and liver cyst (31%) have major contribution to PKD. Gender-based analysis revealed that familial female patients (27%) and familial male patients (33%) are more hypertensive. Liver cyst, the second major contributing symptom presented by large percentage of sporadic males (46%). Genetic screening of all 15 exons of PKD2 revealed eight pathogenic (c.854_854delG, c.915C>A, c.973C>T, c.1050_1050delC, c.1604_1604delT, c.1790T>C, c.2182_2183delAG, c.2224C>T) and eight likely pathogenic (g.11732A>G, c.646T>C, c.1354A>G, g.39212G>C, c.1789C>A, c.1849C>A, c.2164G>T, c.2494A>G) DNA sequence variants. In our study, 27.38% (23/84) cases shown pathogenic / likely pathogenic variants in PKD2 gene. Some regions of PKD2 prone for genetic variation suggested to be linked with disease pathogenesis. This noticeable hot spot regions hold higher frequency (50%) of pathogenic / likely pathogenic genetic variants constituting single nucleotide variants than large deletion and insertion that actually represents only 41.08% of coding sequence of PKD2. Statistically significant association for IVS3-22AA genotype was observed with PKD, while association of IVS4+62C>T was found insignificant.     

Associations of polymorphisms in the promoter I of bovine acetyl‐CoA carboxylase‐α gene with beef fatty acid composition

The objectives of this study were to identify single nucleotide polymorphisms (SNPs) in the promoter I (PI) region of the bovine acetyl‐CoA carboxylase‐α (ACACA) gene and to evaluate the extent to which they were associated with lipid‐related traits. Eight novel SNPs were identified, which were AJ276223:g.2064T>A (SNP1), g.2155C>T (SNP2), g.2203G>T (SNP3), g.2268T>C (SNP4), g.2274G>A (SNP5), g.2340A>G (SNP6), g.2350T>C (SNP7) and g.2370A>G (SNP8). Complete linkage disequilibrium was observed among SNP1, 2, 4, 5, 6 and 8. Phenotypic data were collected from 573 cross‐bred steers with six sire breeds, including Hereford, Angus, Brangus, Beefmaster, Bonsmara and Romosinuano. The genotypes of SNP1/2/4/5/6/8 were significantly associated with adjusted backfat thickness. The genotypes of SNP3 were significantly associated with triacylglycerol (TAG) content and fatty acid composition of longissimus dorsi muscle (LM) in Brangus‐, Romosinuano‐ and Bonsmara‐sired cattle. Cattle with g.2203GG genotype had greater concentrations of TAG, total lipid, total saturated fatty acid and total monounsaturated fatty acid than did cattle with g.2203GT genotype. The genotypes of SNP7 were significantly associated with fatty acid composition of LM. Cattle with genotype g.2350TC had greater amounts of several fatty acids in LM than did cattle with genotype g.2350CC. Our results suggested that the SNPs in the PI region of ACACA gene are associated with variations in the fatty acid contents in LM.     

Identification of novel single nucleotide polymorphisms (SNPs) of the lipoprotein lipase (LPL) gene associated with fatty acid composition in Korean cattle

The lipoprotein lipase (LPL) gene can be considered a functional candidate gene that regulates fatty acid composition. In this study, genetic associations between fatty acid composition and exonic single nucleotide polymorphisms (SNPs) in the LPL gene were examined using 612 Korean cattle. We investigated the relationship between unsaturated fatty acids and five novel SNPs (c.322G>A, c.329A>T, c.527T>G, c.988C>T and c.1591G>A), and confirmed that three polymorphic SNPs (c.322G>A, c.329A>T and c.1591G>A) were associated with fatty acid composition. Korean cattle with an AA genotype of c.322G>A, c.329A>T, and GA genotype of c.1591G>A had higher levels of monounsaturated fatty acids and carcass traits (P < 0.05). Our findings confirmed that three novel SNPs we identified in the LPL gene can affect fatty acid composition and carcass traits. Therefore, selection for AA and GA genotypes should be recommended to genetically improve beef quality and flavor.     

Trans-activation-based risk assessment of <Emphasis Type="Italic">BRCA1</Emphasis> BRCT variants with unknown clinical significance

Background

Deleterious variants in the tumour suppressor BRCA1 are known to cause hereditary breast and ovarian cancer syndrome (HBOC). Missense variants in BRCA1 pose a challenge in clinical care, as their effect on protein functionality often remains unknown. Many of the pathogenic missense variants found in BRCA1 are located in the BRCA1 C-terminal (BRCT) domains, domains that are known to be vital for key functions such as homologous recombination repair, protein-protein interactions and trans-activation (TA). We investigated the TA activity of 12 BRCA1 variants of unknown clinical significance (VUSs) located in the BRCT domains to aid in the classification of these variants.

Results

Twelve BRCA1 VUSs were investigated using a modified version of the dual luciferase TA activity assay (TA assay) that yielded increased sensitivity and sample throughput. Variants were classified according to American College of Medical Genetics and Genomics (ACMG) criteria using TA assay results and available data. In combining our TA-assay results and available data, in accordance with the ACMG guidelines for variant classification, we proposed the following variant classifications: c.5100A>G, c.5326C>T, c.5348T>C and c.5477A>T as likely benign (class 2) variants. c.5075A>C, c.5116G>A and c.5513T>G were likely pathogenic (class 4), whereas c.5096G>A likely represents a likely pathogenic variant with moderate penetrance. Variants c.5123C>T, c.5125G>A, c.5131A>C and c.5504G>A remained classified as VUSs (class 3).

Conclusions

The modified TA assay provides efficient risk assessment of rare missense variants found in the BRCA1 BRCT-domains. We also report that increased post-transfection incubation time yielded a significant increase in TA assay sensitivity.

     

Polymorphisms in 5��-flanking regions of genes encoding adiponectin, leptin, and resistin are not associated with obesity of Polish children and adolescents

Genes encoding adipokines are important functional candidates for development of obesity. In this study we screened for polymorphism 5??-flanking regions of the adiponectin (ADIPOQ), leptin (LEP) and resistin (RETN) genes in a cohort of Polish obese children and adolescents (n = 243) and a control group of non-obese adults (n = 100). Altogether 13 SNPs (single nucleotide polymorphisms) and 1 InDel (insertion/deletion polymorphism) were found. Among them five polymorphisms, localized in the LEP gene, turned out to be novel, but their distribution was insufficient for association studies. We found no consistent evidence for association between obesity and the SNPs demonstrating minor allele frequency (MAF) above 0.2 (ADIPOQ: ?11377C>G, LEP: ?2548C>T, 19A>G, RETN: ?1300G>A, ?1258C>T, ?420C>G). Comparison of polymorphisms distribution in patients and control group suggested association with ADIPOQ ?11377C>G (Pearson test P = 2.76 × 10^?11), however, we did not observe any effect of this polymorphism on BMI or relative BMI (RBMI) within obese patients (P = 0.41). We conclude that the tested SNPs are not useful markers of childhood and adolescence obesity in Polish population.     

Mitochondrial 12S rRNA variants in 1642 Han Chinese pediatric subjects with aminoglycoside-induced and nonsyndromic hearing loss

In this report, we investigated the frequency and spectrum of mitochondrial 12S rRNA variants in a large cohort of 1642 Han Chinese pediatric subjects with aminoglycoside-induced and nonsyndromic hearing loss. Mutational analysis of 12S rRNA gene in these subjects identified 68 (54 known and 14 novel) variants. The frequencies of known 1555A>G and 1494C>T mutations were 3.96% and 0.18%, respectively, in this cohort with nonsyndromic and aminoglycoside-induced hearing loss. Prevalence of other putative deafness-associated mutation at positions 1095 and 961 were 0.61% and 1.7% in this cohort, respectively. Furthermore, the 745A>G, 792C>T, 801A>G, 839A>G, 856A>G, 1027A>G, 1192C>T, 1192C>A, 1310C>T, 1331A>G, 1374A>G and 1452T>C variants conferred increased sensitivity to ototoxic drugs or nonsyndromic deafness as they were absent in 449 Chinese controls and localized at highly conserved nucleotides of this rRNA. However, other variants appeared to be polymorphisms. Moreover, 65 Chinese subjects carrying the 1555A>G mutation exhibited bilateral and sensorineural hearing loss. A wide range of severity, age-of-onset and audiometric configuration was observed among these subjects. In particular, the sloping and flat-shaped patterns were the common audiograms in individuals carrying the 1555A>G mutation. The phenotypic variability in subjects carrying these 12S rRNA mutations indicated the involvement of nuclear modifier genes, mitochondrial haplotypes, epigenetic and environmental factors in the phenotypic manifestation of these mutations. Therefore, our data demonstrated that mitochondrial 12S rRNA is the hot spot for mutations associated with aminoglycoside ototoxicity.     

A comparative proteomic analysis of blood serum for developmental stages in pigs

This study aimed to differentiate genes at developmental stages of pigs from 0 to 150 days of age, to build up a protein database and to find candidate genetic markers for growth traits. The analysis of two‐dimensional electrophoresis and matrix‐assisted laser‐desorption/ionization mass spectrometry separated 252 protein segments. After successfully blasting the peptide sequences, the analysis confirmed 37 differentially expressed proteins that increased from birth to 150 days of age (type A), whereas the type B proteins presented the inverse pattern. The type C proteins included proteins that were expressed continuously throughout the developmental periods. A total of 319 primer sets for 33 genes were designed to find genetic variants using pooled DNA samples of Yorkshire pigs. Amplification products for all primer sets produced approximately 20 000 clones that were sequenced, and 48 candidate SNP sites were finalized for genotyping. A total of 475 animals were used for high throughput genotyping analysis. Among these, phenotype data of all 475 animals were collected for average daily gain, backfat thickness and days to 90 kg, whereas feed conversion data were collected for 300 animals and body measurement traits (starting weight, ending weight, body length, wither height and chest depth) were collected for 209 animals. Association analysis found significant statistical differences between the animals having genotypes of 13 SNPs (g.78935883C>T, g.147629986C>T, g.98266037T>C, g.214707340G>A, g.88350299C>T, g.17180956C>T, g.17181024C>T, g.2350283A>G, g.138361311C>T, g.44996379C>T, g.44996247A>C, g.107715245C>T, g.4149631C>T) for the various measured traits. The identified genetic polymorphisms, of which one was novel (g.214707340G>A), may serve as candidate molecular markers to change population means for the targeted growth traits.     

Novel nucleotide changes in mutational analysis of mitochondrial 12SrRNA gene in patients with nonsyndromic and aminoglycoside-induced hearing loss

Mitochondria have essential role in cellular energy metabolism and defects in their function lead to many metabolic diseases. Mitochondrial DNA (mtDNA) mutations have been associated with number diseases such as nonsyndromic and aminoglycoside-induced hearing loss. Mutational screening of entire 12SrRNA and tRNA ^{ser (UCN)} genes in 107 unrelated Iranian patients with amino glycoside-induced and nonsyndromic bilateral hearing loss by direct sequencing analysis method were performed. Twenty different homoplasmic sequence variants were identified; including fifteen common polymorphisms, two putatively pathogenic variants: m.921T>C and m.1005T>C, one 12SrRNA sequence variant m.739C>T and two nucleotides substitution; m.1245T>C and m.1545T>C. Deafness-associated mutation, m.1555A>G, was not found. In our patients we found the mutation 1005 was associated with R haplogroup. These finding show that m.1555A>G mutation is not important in our population. Nucleotide change, m.739C>T, previously reported with very low frequency. We suggested the variation of two nucleotides 1245 and 1545 that localized at conserved site of 12SrRNA may be new candidate for amino glycoside-induced and nonsyndromic hearing impairment associated mutations. However, aminoglycoside exposure is a risk factor for clinical phenotype appearance of these mutations.     

Association of five SNPs with human hair colour in the Polish population

Twenty-two variants (single nucleotide polymorphisms – SNPs) of the genes involved in hair pigmentation (OCA2, HERC2, MC1R, SLC24A5, SLC45A2, TPCN2, TYR, TYRP1) were genotyped in a group of 186 Polish participants, representing a range of hair colours (45 red, 64 blond, 77 dark). A genotype-phenotype association analysis was performed.Using z-statistics we identified three variants highly associated with different hair colour categories (rs12913832:A>G in HERC2, rs1805007:T>C and rs1805008:C>T in MC1R). Two variants: rs1800401:C>T in OCA2 and rs16891982:C>G in SLC45A2 showed a high probability of a relation with hair colour, although that probability did not exceed the threshold of statistical significance after applying the Bonferroni correction. We created and validated mathematical logistic regression models in order to test the usefulness of the sets of polymorphisms for hair colour prediction in the Polish population. We subjected four models to stratified cross-validation. The first model consisted of three polymorphisms that proved to be important in the associative analysis. The second model included, apart from the mentioned polymorphisms, additionally rs16891982:C>G in SLC45A. The third model included, apart from the variants relevant in the associating analysis, rs1800401:C>T in OCA. The fourth model consisted of the set of polymorphisms from the first model supplemented with rs16891982:C>G in SLC45A and rs1800401:C>T in OCA. The validation of our models has shown that the inclusion of rs16891982:C>G in SLC45A and rs1800401:C>T in OCA increases the prediction of red hair in comparison with the algorithm including only rs12913832:A>G in HERC2, rs1805007:T>C and rs1805008:C>T in MC1R. The model consisting of all the five above-mentioned genetic variants has shown good prediction accuracies, expressed by the area under the curve (AUC) of the receiver operating characteristics: 0.84 for the red-haired, 0.82 for the dark-haired and 0.71 for the blond-haired.A genotype-phenotype association analysis brought results similar to those in other studies and confirmed the role of rs16891982:C>G, rs12913832:A>G, rs1805007:T>C and rs1805008:C>T in hair colour determination in the Polish population. Our study demonstrated for the first time the possibility of a share of the rs1800401:C>T SNP in the OCA2 gene in hair colour determination. Including this single nucleotide polymorphism in the actual hair colour predicting models would improve their predictive accuracy.     

Gender‐Specific Association of a Perilipin Gene Haplotype with Obesity Risk in a White Population

Objective: Perilipin is a class of protein‐coating lipid droplets in adipocytes and steroidogenic cells. Our purpose was to examine the association between common single‐nucleotide polymorphisms (SNPs) at the perilipin (PLIN) locus and obesity, as well as related phenotypes, in unrelated American adults. Research Methods and Procedures: Four PLIN SNPs (PLIN 6209T>C, 11482G>A, 13041A>G, and 14995A>T) were typed in 734 white subjects (373 men and 361 women) attending a residential lifestyle intervention program. The baseline anthropometric and biochemical measures were used. Obesity was defined as BMI ≥ 30 kg/m². Results: Multivariate analysis demonstrated that, in women, two of the SNPs (13041A>G, and 14995A>T) were significantly associated with percentage body fat (p = 0.016 for 13041A>G and p = 0.010 for 14995A>T) and waist circumference (p = 0.020 for 13041A>G and p = 0.045 for 14995A>T). Moreover, haplotype analysis using these two SNPs indicated that haplotypes A/T and G/T were both associated with significantly increased obesity risk (odds ratio = 1.76, 95% confidence interval 1.07 to 2.90 for haplotype A/T, and odds ratio = 1.73, 95% confidence interval 1.06 to 2.82 for haplotype G/T) when compared with haplotype A/A. No significant associations between PLIN variations and obesity were found in men. Discussion: Our data support the hypothesis that the PLIN locus may be a significant genetic determinant for obesity risk in whites and that women are more sensitive to the genetic effects of perilipin than men.     

Mutations of <Emphasis Type="Italic">MC4R</Emphasis> gene and its association with economic traits in Qinchuan cattle

MC4R belongs to a seven-transmembrane G-protein-coupled receptor which may regulate body composition and insulin action. Many mutations in the MC4R gene are associated with obesity, energy expenditure and serum triglyceride levels in human and animals. Six mutations in the MC4R gene were identified in our study (-293C>G, -193A>T, -192T>G, -129A>G, -84T>C and 1,069C>G). The -129A>G was significantly associated with live weight (LW) (P < 0.05), Cattle with the genotypes AG and GG had higher LW than genotype AA. The 1,069C>G was significantly associated with LW, carcass weight (CW), backfat thickness and marbling score (MS). Cattle with the genotype GG had higher LW, CW and MS than genotype CC; Cattle with the genotypes GG and CG had higher MS than CC. The results suggested that -129A>G and 1,069C>G SNP of the MC4R gene may be useful as a genetic marker for carcass and meat quality traits in Qinchuan cattle.     

Superior single nucleotide polymorphisms that contribute to two main routes of the fatty acid synthesis pathway in Korean cattle

The fatty acid composition of adipose tissue in livestock has been recognized as an important carcass trait that affects meat quality. To determine the overall positive effect on fatty acid synthesis, we investigated PPARγ, SREBPs, FABP4, SCD, and FASN genes because SNP and/or SNP combinations were strongly affecting each fatty acid synthesis pathway. We screened their SNPs, SNP combinations, and genotype. Furthermore, we studied the economic traits C18:1, monounsaturated fatty acid (MUFA), and marbling score (MS). To enhance the accuracy of the predictive genetic effect, we applied a statistical adjustment model excluding environmental factors. We also selected superior genes, gene combinations, and genotypes for each economic trait by using multifactor dimensionality reduction. Based on the results, g.3977-325 T>C (CC) was selected as the best genotype of the SNP and the combination (g.10153 A>G, g.3977-325 T>C) (AACC, AGCC, GGCC), (g.3690 G>A, g.3977-325 T>C) (GGCC, GACC), (g.3977-325 T>C, g.25670 C>T) (CCCC, CCCT, CCTT) (genotypes of the best SNP combination) was selected as the best gene combination for C18:1 and MUFA. In addition, g.3977-325 T>C (CC) was selected as the best genotype of the SNP and the combination (g.3977-325 T>C, g.6974 G>A) (TTAA, CTAA, CCAA, CCGA, CCGG) as the best SNP combination for MS. We integrated genes that were selected as excellent SNP and SNP combinations affecting two main routes of the fatty acid synthesis pathway and identified the best and final SNP, SNP combination, and superior genotype.