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1.
The presence of a high nevus number is the strongest phenotypic predictor of melanoma risk. Here, we describe the results of a three‐stage study directed at identifying risk variants for the high nevus phenotype. At the first stage, 263 melanoma cases from Barcelona were genotyped for 223 single‐nucleotide polymorphisms (SNPs) in 39 candidate genes. Seven SNPs in the PAX3 gene were found to be significantly associated with nevus number under the additive model. Next, the associations for seven PAX3 variants were evaluated in 1217 melanoma cases and 475 controls from Leeds; and in 3054 healthy twins from TwinsUK. Associations with high nevus number were detected for rs6754024 (P values < 0.01) in the Barcelona and Leeds datasets and for rs2855268 (P values < 0.01) in the Barcelona and the TwinsUK sets. Associations (P values < 0.001) in the opposite direction were detected for rs7600206 and rs12995399 in the Barcelona and TwinsUK sets. This study suggests that SNPs in PAX3 are associated with nevus number, providing support for PAX3 as a candidate nevus gene. Further studies are needed to examine the role of PAX3 in melanoma susceptibility.  相似文献   

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KIT mutations have been detected in different cancer subtypes, including melanoma. The gene also has been extensively studied in farm animals for its prominent role in coat color. The present work aimed at detecting KIT variants in a porcine model of cutaneous melanoma, the melanoblastoma‐bearing Libechov Minipig (MeLiM). By sequencing exons and intron borders, 36 SNPs and one indel were identified. Of 10 coding SNPs, three were non‐synonymous mutations, likely to affect the protein conformation. A promising variant, located in exon 19 (p.Val870Ala), was genotyped in a MeLiM × Duroc cross, and an association analysis was conducted on several melanoma‐related traits. This variant showed a significant association with melanoma development, tumor ulceration and cutaneous invasion. In conclusion, although the KIT gene would not be a major causal gene for melanoma development in pig, its genetic variation could be influencing this trait.  相似文献   

4.
Background: There is continuing interest in identifying low-penetrance genes which are associated with an increased susceptibility to common types of cancer, including malignant melanoma. Methods: We sought to examine the association between four VDR common variants (rs1544410, rs731236, rs10735810, rs4516035) and the risk of melanoma in the Polish population. We also determined the prevalence of compound carriers of VDR and known MM genetic risk factors MC1R and CDKN2A (A148T) variants. We examined 763 unselected melanoma cases, 763 healthy adults matched for sex and age with the melanoma cases and 777 newborns. Results: None of the VDR variants alone or as compound carriers of two or more of the VDR genotypes were associated with MM risk. There were no major differences between the prevalences of the examined variants among patients with MM on UV-exposed and UV-non exposed skin areas, as well as among early-onset and late-onset cases. We found no association between VDR and MC1R or between VDR and CDKN2A common variants. A statistically significant over-representation of one VDR haplotype: rs731236_A + rs1544410_T (OR = 3.2, p = 0.02) was detected. Linkage disequilibrium of rs1544410 and rs731236 was confirmed. Conclusion: To answer the question, whether VDR can be regarded as melanoma susceptibility gene, additional, large multi-center association studies have to be performed.  相似文献   

5.
To mine possibly hidden causal single‐nucleotide polymorphisms (SNPs) of melanoma, we investigated the association of SNPs in 76 M/G1 transition genes with melanoma risk using our published genome‐wide association study (GWAS) data set with 1804 melanoma cases and 1026 cancer‐free controls. We found multiple SNPs with P < 0.01 and performed validation studies for 18 putative functional SNPs in PSMB9 in two other GWAS data sets. Two SNPs (rs1351383 and rs2127675) were associated with melanoma risk in the GenoMEL data set (P = 0.013 and 0.004, respectively), but failed in validation using the Australian data set. Genotype–phenotype analysis revealed these two SNPs were significantly correlated with mRNA expression level of PSMB9. Further experiments revealed that SNP rs2071480, which is in high LD with rs1351383 and rs2127675, may have a weak effect on the promoter activity of PSMB9. Taken together, our data suggested that functional variants in PSMB9 may contribute to melanoma susceptibility.  相似文献   

6.
Variants in the EDNRB, KIT, MITF, PAX3 and TRPM1 genes are known to cause white spotting phenotypes in horses, which can range from the common white markings up to completely white horses. In this study, we investigated these candidate genes in 169 horses with white spotting phenotypes not explained by the previously described variants. We identified a novel missense variant, PAX3:p.Pro32Arg, in Appaloosa horses with a splashed white phenotype in addition to their leopard complex spotting patterns. We also found three novel variants in the KIT gene. The splice site variant c.1346+1G>A occurred in a Swiss Warmblood horse with a pronounced depigmentation phenotype. The missense variant p.Tyr441Cys was present in several part‐bred Arabians with sabino‐like depigmentation phenotypes. Finally, we provide evidence suggesting that the common and widely distributed KIT:p.Arg682His variant has a very subtle white‐increasing effect, which is much less pronounced than the effect of the other described KIT variants. We termed the new KIT variants W18–W20 to provide a simple and unambiguous nomenclature for future genetic testing applications.  相似文献   

7.
White spotting phenotypes in horses can range in severity from the common white markings up to completely white horses. EDNRB, KIT, MITF, PAX3 and TRPM1 represent known candidate genes for such phenotypes in horses. For the present study, we re‐investigated a large horse family segregating a variable white spotting phenotype, for which conventional Sanger sequencing of the candidate genes’ individual exons had failed to reveal the causative variant. We obtained whole genome sequence data from an affected horse and specifically searched for structural variants in the known candidate genes. This analysis revealed a heterozygous ~1.9‐kb deletion spanning exons 10–13 of the KIT gene (chr3:77,740,239_77,742,136del1898insTATAT). In continuity with previously named equine KIT variants we propose to designate the newly identified deletion variant W22. We had access to 21 horses carrying the W22 allele. Four of them were compound heterozygous W20/W22 and had a completely white phenotype. Our data suggest that W22 represents a true null allele of the KIT gene, whereas the previously identified W20 leads to a partial loss of function. These findings will enable more precise genetic testing for depigmentation phenotypes in horses.  相似文献   

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White Galloway cattle exhibit three different white coat colour phenotypes, that is, well marked, strongly marked and mismarked. However, mating of individuals with the preferred well or strongly marked phenotype also results in offspring with the undesired mismarked and/or even fully black coat colour. To elucidate the genetic background of the coat colour variations in White Galloway cattle, we analysed four coat colour relevant genes: mast/stem cell growth factor receptor (KIT), KIT ligand (KITLG), melanocortin 1 receptor (MC1R) and tyrosinase (TYR). Here, we show that the coat colour variations in White Galloway cattle and White Park cattle are caused by a KIT gene (chromosome 6) duplication and aberrant insertion on chromosome 29 (Cs29) as recently described for colour‐sided Belgian Blue. Homozygous (Cs29/Cs29) White Galloway cattle and White Park cattle exhibit the mismarked phenotype, whereas heterozygous (Cs29/wt29) individuals are either well or strongly marked. In contrast, fully black individuals are characterised by the wild‐type chromosome 29. As known for other cattle breeds, mutations in the MC1R gene determine the red colouring. Our data suggest that the white coat colour variations in White Galloway cattle and White Park cattle are caused by a dose‐dependent effect based on the ploidy of aberrant insertions and inheritance of the KIT gene on chromosome 29.  相似文献   

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Xiao  Lei  Wu  Dongyang  Sun  Yang  Hu  Dong  Dai  Jiaqi  Chen  Yanghui  Wang  Daowen 《中国科学:生命科学英文版》2022,65(4):770-780

To reveal genetic risks of early-onset sporadic dilated cardiomyopathy (DCM) patients in the Chinese Han population, we enlisted 363 DCM cases and 414 healthy controls. Whole-exome sequencing and phenotypic characterization were conducted. In total, we identified 26 loss-of-function (LOF) candidates and 66 pathogenic variants from 33 genes, most of which were novel. The deleterious variants can account for 25.07% (91/363) of all patients. Furthermore, rare missense variants in 21 genes were found to be significantly associated with DCM in burden tests. Other than rare variants, twelve common SNPs were significantly associated with an increased risk of DCM in allele-based genetic model association analysis. Of note, in the cumulative risk model, high-risk subjects had a 3.113-fold higher risk of developing DCM than low-risk subjects. Also, DCM in the high-risk group had a younger age of onset than that in the low-risk group. In terms of cardiac function, the mean left ventricular ejection fraction of patients with the deleterious variants was lower than those without (27.73%±10.02% vs. 30.61%±10.85%, P=0.026). To conclude, we mapped a comprehensive atlas of genetic risks in Chinese patients with DCM that might lead to new insights into the mechanisms and risk stratification for DCM.

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12.
White spotting phenotypes in horses are highly valued in some breeds. They are quite variable and may range from the common white markings up to completely white horses. EDNRB, KIT, MITF, PAX3 and TRPM1 represent known candidate genes for white spotting phenotypes in horses. For the present study, we investigated an American Paint Horse family segregating a phenotype involving white spotting and blue eyes. Six of eight horses with the white‐spotting phenotype were deaf. We obtained whole‐genome sequence data from an affected horse and specifically searched for structural variants in the known candidate genes. This analysis revealed a heterozygous ~63‐kb deletion spanning exons 6–9 of the MITF gene (chr16:21 503 211–21 566 617). We confirmed the breakpoints of the deletion by PCR and Sanger sequencing. PCR‐based genotyping revealed that all eight available affected horses from the family carried the deletion. The finding of an MITF variant fits well with the syndromic phenotype involving both depigmentation and an increased risk for deafness and corresponds to human Waardenburg syndrome type 2A. Our findings will enable more precise genetic testing for depigmentation phenotypes in horses.  相似文献   

13.
Analyses of mitochondrial DNA (mtDNA) sequences have revealed non-neutral patterns, suggesting that many amino acid mutations in animal mtDNA may be mildly deleterious, but this has not been verified in human clinical series. Since sensorineural hearing impairment (SNHI) is a common manifestation in many of the syndromes caused by mutations in mtDNA, this may be regarded as the phenotype of choice in attempts to detect mutations that may have a mildly deleterious effect on mitochondrial function. We selected 32 subjects from among 117 unrelated SNHI patients with SNHI in maternal relatives by means of family history, determined the entire coding region sequence of mtDNA and compared the sequence variation with that in 32 haplogroup-matched controls taken at random from 192 Finnish sequences. The 32 control sequences differed from the remaining 160 sequences by 36±9 substitutions (mean ± SD), while the difference for the 32 patients was 58±4 substitutions (P=0.005 for difference; Wilcoxon signed rank test). Differences were also found in the number of new haplotypes and new non-synonymous mutations or mutations in tRNA or rRNA genes. A total of 12 rare mtDNA variants were detected in the patients, and only 3 of these were considered to be neutral in effect. It is proposed that increased sequence variation in mtDNA may be a genetic risk factor for SNHI, and the increased frequency of rare haplotypes in these patients points to the presence of mildly deleterious mutations in mtDNA.  相似文献   

14.
Recently, several studies have investigated the association between a newly reported rare functional single nucleotide polymorphism (SNP) in TP53 (rs78378222) and cancer risk, but generated inconsistent findings. The present study further investigated this association with risk of melanoma, squamous cell carcinoma of head and neck (SCCHN) and lung cancer. Using volunteers of non‐Hispanic Whites recruited for three large case–control studies, we genotyped the TP53 rs78378222 SNP in 1329 patients with melanoma, 1096 with SCCHN, 1013 with lung cancer and 3000 cancer‐free controls. Overall, we did not observe any variant homozygotes in this study population, nor significant associations between the TP53 rs78378222AC genotype or C allele and risk for melanoma (P = 0.680 and 0.682 respectively) and lung cancer (P = 0.379 and 0.382 respectively), but a protection against SCCHN (P = 0.008 and 0.008 respectively), compared with the AA genotype or A allele. An additional meta‐analysis including 19,423 cancer patients and 54,050 controls did not support such a risk association either. Our studies did not provide statistical evidence of an association between this rare TP53 variant and increased risk of melanoma, nor of lung cancer, but a possible protection against SCCHN.  相似文献   

15.
The case‐control study was designed to investigate the genetic effects of interferon‐gamma (IFN‐γ) rs2069727 and rs1861494 polymorphisms on ankylosing spondylitis (AS) susceptibility in a Chinese Han population. Blood samples were collected from 108 AS patients and 110 healthy controls. IFN‐γ polymorphisms were genotyped by polymerase chain reaction‐restriction fragment length polymorphism (PCR‐RFLP). Hardy‐Weinberg equilibrium (HWE) test was performed in control group. Odds ratios (OR) with 95% confidence intervals (95% CI) were calculated using chi‐square test to evaluate the association between AS susceptibility and IFN‐γ polymorphisms, and the results were adjusted by logistic regressive analysis. The frequency of rs2069727 CC genotype was much higher in cases than that in controls, suggested its significant association with increased AS risk (adjusted OR = 5.899, 95% CI = 1.563‐22.261; P = .009). In addition, C allele also showed close association with increased risk of AS (adjusted OR = 2.052, 95% CI = 1.286‐1.704, P  = 0 .003). While the genotype and allele frequencies of IFN‐γ rs1861494 polymorphism were not significantly different between patients and controls (P  > 0.05 for all), IFN‐γ rs2069727 polymorphism is significantly associated with increased AS risk in a Chinese Han Population.  相似文献   

16.
Neuroblastoma ranks as the most commonly seen and deadly solid tumour in infancy. The aberrant activity of m6A‐RNA methyltransferase METTL3 is involved in human cancers. Therefore, functional genetic variants in the METTL3 gene may contribute to neuroblastoma risk. In the current nine‐centre case‐control study, we aimed to analyse the association between the METTL3 gene single nucleotide polymorphisms (SNPs) and neuroblastoma susceptibility. We genotyped four METTL3 gene SNPs (rs1061026 T>G, rs1061027 C>A, rs1139130 A>G, and rs1263801 G>C) in 968 neuroblastoma patients and 1814 controls in China. We found significant associations between these SNPs and neuroblastoma risk in neither single‐locus nor combined analyses. Interestingly, in the stratified analysis, we observed a significant risk association with rs1061027 AA in subgroups of children ≤ 18 months of age (adjusted OR = 1.87, 95% CI = 1.03‐3.41, P = .040) and females (adjusted OR = 1.86, 95% CI = 1.07‐3.24, P = .028). Overall, we identified a significant association between METTL3 gene rs1061027 C>A polymorphism and neuroblastoma risk in children ≤18 months of age and females. Our findings provide novel insights into the genetic determinants of neuroblastoma.  相似文献   

17.
White spotting phenotypes have been intensively studied in horses, and although similar phenotypes occur in the donkey, little is known about the molecular genetics underlying these patterns in donkeys. White spotting in donkeys can range from only a few white areas to almost complete depigmentation and is characterised by a loss of pigmentation usually progressing from a white spot in the hip area. Completely white‐born donkeys are rare, and the phenotype is characterised by the complete absence of pigment resulting in pink skin and a white coat. A dominant mode of inheritance has been demonstrated for spotting in donkeys. Although the mode of inheritance for the completely white phenotype in donkeys is not clear, the phenotype shows similarities to dominant white in horses. As variants in the KIT gene are known to cause a range of white phenotypes in the horse, we investigated the KIT gene as a potential candidate gene for two phenotypes in the donkey, white spotting and white. A mutation analysis of all 21 KIT exons identified a missense variant in exon 4 (c.662A>C; p.Tyr221Ser) present only in a white‐born donkey. A second variant affecting a splice donor site (c.1978+2T>A) was found exclusively in donkeys with white spotting. Both variants were absent in 24 solid‐coloured controls. To the authors’ knowledge, this is the first study investigating genetic mechanisms underlying white phenotypes in donkeys. Our results suggest that two independent KIT alleles are probably responsible for white spotting and white in donkeys.  相似文献   

18.
Numerous single nucleotide polymorphisms (SNPs), which have been identified as susceptibility factors for Parkinson's disease (PD) as per genome‐wide association studies, have not been fully characterized for PD patients in China. This study aimed to replicate the relationship between 12 novel SNPs of 12 genes and PD risk in southern Chinese population. Twelve SNPs of 12 genes were detected in 231 PD patients and 249 controls, using the SNaPshot technique. Meta‐analysis was used to assess heterogeneity of effect sizes between this study and published data. The impact of SNPs on gene expression was investigated by analysing the SNP‐gene association in the expression quantitative trait loci (eQTL) data sets. rs8180209 of SNCA (allele model: P = .047, OR = 0.77; additive model: P = .047, OR = 0.77), rs2270968 of MCCC1 (dominant model: P = .024, OR = 1.52), rs7479949 of DLG2 (recessive model; P = .019, OR = 1.52), rs10748818 of GBF1 (additive model: P < .001, OR = 0.37), and rs4771268 of MBNL2 (recessive model: P = .003, OR = 0.48) were replicated to be significantly associated with the increased risk of PD. Noteworthy, a meta‐analysis of previous studies suggested rs8180209, rs2270968, rs7479949 and rs4771268 were in line with those of our cohort. Our study replicated five novel functional SNPs in SNCA, MCCC1, DLG2, GBF1 and MBNL2 could be associated with increased risk of PD in southern Chinese population.  相似文献   

19.
Idiopathic dilated cardiomyopathy (IDCM), characterized by ventricular dilation and impaired systolic function, is a primary cardiomyopathy resulting in heart failure. During heart contraction, the Z‐line is responsible for transmitting force between sarcomeres and is also a hot spot for muscle cell signalling. Mutations in Z‐line proteins have been linked to cardiomyopathies in both humans and mice. Actinin‐associated LIM protein (ALP) and enigma homolog protein (ENH), encoded by PDLIM3 and PDLIM5, are components of the muscle cytoskeleton and localize to the Z‐line. A PDLIM3 or PDLIM5 deficiency in mice leads to dilated cardiomyopathy. Since PDLIM3 and PDLIM5 are candidate IDCM susceptibility genes, the current study aims to investigate whether polymorphisms within PDLIM3 and PDLIM5 could be correlated with IDCM. We designed a case‐control study, and exons of the PDLIM3 and PDLIM5 were amplified by polymerase chain reactions in 111 IDCM patients and 137 healthy controls. We found that five synonymous polymorphisms had statistical distribution differences between IDCM patients and controls, including rs4861669, rs4862543, c.731 + 131 T > G, c.1789‐3 C > T and rs7690296, according to genotype and allele distribution. Haplotype G‐C‐C‐C and A‐T‐C‐T (rs2306705, rs10866276, rs12644280 and rs4635850 synthesized) were regarded as risk factors for IDCM patients when compared with carriers of other haplotypes (all P < .05). Furthermore, IDCM patients with two novel polymorphisms (c.731 + 131 T > G and c.1789‐3 C > T) had lower systolic blood pressure. In conclusion, these five synonymous polymorphisms might constitute a genetic background that increases the risk of the development of IDCM in the Chinese Han population.  相似文献   

20.
Domestic yaks (Bos grunniens) exhibit two major coat color variations: a brown vs. wild‐type black pigmentation and a white spotting vs. wild‐type solid color pattern. The genetic basis for these variations in color and distribution remains largely unknown and may be complicated by a breeding history involving hybridization between yaks and cattle. Here, we investigated 92 domestic yaks from China using a candidate gene approach. Sequence variations in MC1R, PMEL and TYRP1 were surveyed in brown yaks; TYRP1 was unassociated with the coloration and excluded. Recessive mutations from MC1R, or p.Gln34*, p.Met73Leu and possibly p.Arg142Pro, are reported in bovids for the first time and accounted for approximately 40% of the brown yaks in this study. The remaining 60% of brown individuals correlated with a cattle‐derived deletion mutation from PMEL (p.Leu18del) in a dominant manner. Degrees of white spotting found in yaks vary from color sidedness and white face, to completely white. After examining the candidate gene KIT, we suggest that color‐sided and all‐white yaks are caused by the serial translations of KIT (Cs6 or Cs29) as reported for cattle. The white‐faced phenotype in yaks is associated with the KIT haplotype Swf. All KIT mutations underlying the serial phenotypes of white spotting in yaks are identical to those in cattle, indicating that cattle are the likely source of white spotting in yaks. Our results reveal the complex genetic origins of domestic yak coat color as either native in yaks through evolution and domestication or as introduced from cattle through interspecific hybridization.  相似文献   

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