Human Heredity最新文献

Objectives: Impairment of mitochondrial function caused by pathogenic mitochondrial DNA (mtDNA) mutations has been found to be associated with pre-eclampsia (PE). However, the underlying mechanism of PE remains poorly undetermined. The aim of this study is to evaluate the relationship between mitochondrial tRNAs (mt-tRNAs) variants and PE.

Material and methods: The mt-tRNAs variants in a cohort of 100 pregnant women with PE and 100 healthy subjects were examined by PCR-Sager sequencing. Moreover, the phylogenetic conservation analysis, mitochondrial haplogroup analysis, as well as pathogenicity scoring system were used to assess the potential pathogenicity of these tRNA variants.

Results: We identified five possible pathogenic mt-tRNA variants: tRNAPhe A608G, tRNAIle A4263G, tRNAAla T5587C, tRNALeu(CUN) G12294C and tRNAPro G15995A. We noticed that these variants were not detected in control subjects and occurred at the positions which were extremely conserved. Alternations in tRNAs structure caused by these variants may lead to the failures in tRNAs metabolism, which may subsequently may lead to the impairment of mitochondrial translation, as well as the respiratory chain functions. Thus, mt-tRNA variants may be involved in the pathogenesis of PE.

Conclusions: Taken together, our data indicated that variants in mt-tRNA genes were the important contributors to PE; screening for mt-tRNA variants was recommended for early detection and prevention of PE.

Introduction: Increasingly, logistic regression methods for genetic association studies of binary phenotypes must be able to accommodate data sparsity, which arises from unbalanced case-control ratios and/or rare genetic variants. Sparseness leads to maximum likelihood estimators (MLEs) of log-OR parameters that are biased away from their null value of zero and tests with inflated type 1 errors. Different penalized-likelihood methods have been developed to mitigate sparse-data bias. We study penalized logistic regression using a class of log-F priors indexed by a shrinkage parameter m to shrink the biased MLE towards zero. For a given m, log-F-penalized logistic regression may be easily implemented using data augmentation and standard software.

Method: We propose a two-step approach to the analysis of a genetic association study: first, a set of variants that show evidence of association with the trait is used to estimate m; and second, the estimated m is used for log-F-penalized logistic regression analyses of all variants using data augmentation with standard software. Our estimate of m is the maximizer of a marginal likelihood obtained by integrating the latent log-ORs out of the joint distribution of the parameters and observed data. We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation.

Results: We evaluate the statistical properties of our proposed two-step method and compared its performance to other shrinkage methods by a simulation study. Our simulation studies suggest that the proposed log-F-penalized approach has lower bias and mean squared error than other methods considered. We also illustrate the approach on data from a study of genetic associations with "super senior" cases and middle aged controls.

Discussion/conclusion: We have proposed a method for single rare variant analysis with binary phenotypes by logistic regression penalized by log-F priors. Our method has the advantage of being easily extended to correct for confounding due to population structure and genetic relatedness through a data augmentation approach.

Introduction The role of neuraminidases in cardiovascular disease has recently gained increasing attention. However, the association between neuraminidase gene polymorphisms and heart failure (HF) has not yet been investigated. Methods and Results Genotyping of nine single nucleotide polymorphisms (SNPs) in the NEU2/NEU3/NEU4 genes was performed in 610 HF patients and 600 healthy controls from the Southwest Han Chinese population using TaqMan SNP Genotyping Assay. Individuals carrying the A allele of rs11545301 had decreased risk of HF (additive model: OR=0.704, 95% CI=0.511-0.97; P = 0.032). While the C allele of rs2293763 increased the risk of HF in recessive model (OR=1.486, 95% CI=1.095-2.012; P = 0.011). Rs2233384, rs2233394 and rs2293763 were significantly associated with the mortality risk of HF in dominant model, both with and without adjustment for conventional risk factors (HR= 0.686, 95% CI= 0.52-0.906, P = 0.008 for rs2233384; HR= 1.357, 95% CI= 1.035-1.78, P = 0.027 for rs2233384 and HR= 0.76, 95% CI= 0.592-0.975; P = 0.031 for rs2293763). Conclusion Our findings demonstrated the association between a series of variants in NEU2/NEU4 genes and the risk or prognosis of HF in Han Chinese Population. These data suggested an important role of NEU2 and NEU4 in the pathogenesis of HF.

Introduction: Type A insulin resistance syndrome is a rare type of congenital insulin resistance often caused by heterozygous mutations in the insulin receptor gene (INSR). The aim of this study is to explore the clinical and genetic characteristics of three patients with type A insulin resistance syndrome from two Chinese families.

Methods: The peripheral blood samples were collected from each family members. Whole-exome sequencing were performed on three patients.

Results: Patient #1 was diagnosed with hyperinsulinemia at the age of 11 years and presented with hirsutism, acanthosis nigricans, and polycystic ovaries by 13 years. A heterozygous c.3470A > G mutation in the INSR gene was identified in patient #1. Patient #2 was a 13-year-old girl who presented with insulin resistance, polycystic ovary, and hyperandrogenemia. A novel c.3601C > G INSR mutation was identified in patient #2. Co-segregated analysis showed that the c.3601C > G mutation was also found in her father, who had hyperinsulinemia and diabetes mellitus, which was consistent with autosomal dominant inheritance. SIFT and PolyPhen-2 predicted that the c.3470A > G and c.3601C > G mutations in INSR had damaging effects.

Conclusion: Our study expands the genotypic and phenotypic spectrum of type A insulin resistance syndrome. Awareness of the clinical features coupled with INSR gene screening is key to early detection and active intervention.

Objectives: Mutations in mitochondrial tRNA (mt-tRNA) are the important causes for maternally inherited hypertension, however, the pathophysiology of mt-tRNA mutations in clinical expression of hypertension remains poorly understood.

Material and methods: In this study, we report the molecular features of a Han Chinese pedigree with maternally transmitted essential hypertension. The entire mitochondrial genomes are PCR amplified and sequenced, Moreover, phylogenetic analysis, haplogroup analysis, as well as pathogenicity scoring system are used to assess the potential roles for mtDNA mutations.

Results: Strikingly, among ten matrilineal relatives, three of them suffer from variable degree of hypertension at different age at onset. Sequence analysis of the complete mitochondrial genomes suggests the presence of three possible pathogenic mtDNA mutations: tRNAAsp T7561C, tRNAHis C12153T and A12172G, together with a set of variants belonging to East Asian mitochondrial haplogroup M7a. Interestingly, the T7561C mutation occurs at position 44 in the variable region of tRNAAsp, while the C12153T and A12172G mutations are localized at extremely conserved nucleotides in the D-arm and anticodon stem of tRNAHis gene, respectively, which are critical for tRNA steady-state level and function.

Conclusions: Mitochondrial T7561C, C12153T and A12172G mutations may lead to the failure in tRNAs metabolism, and cause mitochondrial dysfunction that is responsible for hypertension. However, the homoplasmy form of mt-tRNA mutations, incomplete penetrance of hypertension suggest that T7561C, C12153T and A12172G mutations are insufficient to produce the clinical phenotype, hence, other risk factors such as environmental factors, nuclear genes and epigenetic modifications may contribute to the phenotypic manifestation of maternally inherited hypertension in this Chinese pedigree.

Enamel hypoplasia causes reduction in the thickness of affected enamel and is one of the most common dental anomalies. This defect is caused by environmental and/or genetic factors that interfere with tooth formation, emphasizing the importance of investigating enamel hypoplasia on an epidemiological and genetic level. A genome-wide association of enamel hypoplasia was performed in multiple cohorts, overall comprising 7,159 individuals ranging in age from 7-82 years. Mixed-models were used to test for genetic association while simultaneously accounting for relatedness and genetic population structure. Meta-analysis was then performed. More than 5 million single-nucleotide polymorphisms were tested in individual cohorts. Analyses of the individual cohorts and meta-analysis identified association signals close to genome-wide significance (P < 510-8), and many suggestive association signals (510-8 < P < 510-6) near genes with plausible roles in tooth/enamel development. The strongest association signal (P = 1.5710-9) was observed near BMP2K in one of the individual cohorts. Additional suggestive signals were observed near genes with plausible roles in tooth development in the meta-analysis, such as SLC4A4 which can influence enamel hypoplasia. Additional human genetic studies are needed to replicate these results and functional studies in model systems are needed to validate our findings.

Introduction: The CHEK2 gene is known to be an important signal transducer involved in DNA repair, apoptosis, or cell cycle arrest in response to DNA damage. The mutations in this gene have been associated with a wide range of cancers, both sporadic and hereditary. Germline CHEK2 mutations are linked to an increased risk of breast cancer. Therefore, the aim of this study was to identify the prevalence of CHEK2 variants in BRCA1/2 and PALB2 negative early-onset patients with breast cancer and/or ovarian cancer in a Turkish population for the first time.

Methods: The study included 95 patients with BRCA1/2 and PALB2 negative early-onset breast cancer and/or ovarian cancer and also 60 unaffected women. All the intron/exon boundaries and coding exons of CHEK2 were subjected to mutational analysis by heteroduplex analysis and DNA sequencing.

Results: A total of 16 CHEK2 variants were found in breast cancer patients within the Turkish population. CHEK2 c.1100delC mutation studied in the CHEK2 gene most frequently was not detected in our study. The prevalence of variants of uncertain significance in CHEK2 was found to be 7.3% (n= 7) in BRCA1/2 and PALB2 mutation negative Turkish patients with early-onset breast and/or ovarian cancer.

Discussion/conclusion: The present study may shed light on alternative variations that could be significant for understanding the prevalence and clinical suitability of the CHEK2 gene.

Objectives: Dilated cardiomyopathy (DCM) is a complex cardiovascular disease with unknown etiology. Although nuclear genes play active roles in DCM, mitochondrial dysfunction was believed to be involved in the pathogenesis of DCM. The objective of this study is to analysis the association between mitochondrial tRNA (mt-tRNA) mutations and DCM.

Material and methods: We performed a mutational analysis of mt-tRNA genes in a cohort of 318 patients with DCM and 200 age- and gender-matched control subjects. To further assess their pathogenicity, phylogenetic analysis and mitochondrial functions including mtDNA copy number, ATP and ROS were analyzed.

Results: 7 possible pathogenic mutations: MT-TL1 3302A>G, MT-TI 4295A>G, MT-TM 4435A>G, MT-TA 5655T>C, MT-TH 12201T>C, MT-TE 14692A>G and MT-TT 15927G>A were identified in DCM group but absent in controls. These mutations occurred at extremely conserved nucleotides of corresponding tRNAs, and led to the failure in tRNAs metabolism. Moreover, a significant reduction in ATP and mtDNA copy number, whereas a markedly increased in ROS level were observed in polymononuclear leukocytes (PMNs) derived from the DCM patients carrying these mt-tRNA mutations, suggesting that these mutations may cause mitochondrial dysfunction that was responsible for DCM.

Conclusions: Our data indicated that mt-tRNA mutations may be the molecular basis for DCM, which shaded novel insight into the pathophysiology of DCM that was manifestated by mitochondrial dysfunction.