Human Heredity最新文献

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: Studies that examine the role of rare variants in both simple and complex disease are increasingly common. Though the usual approach of testing rare variants in aggregate sets is more powerful than testing individual variants, it is of interest to identify the variants that are plausible drivers of the association. We present a novel method for prioritization of rare variants after a significant aggregate test by quantifying the influence of the variant on the aggregate test of association.

Methods: In addition to providing a measure used to rank variants, we use outlier detection methods to present the computationally efficient Rare Variant Influential Filtering Tool (RIFT) to identify a subset of variants that influence the disease association. We evaluated several outlier detection methods that vary based on the underlying variance measure: interquartile range (Tukey fences), median absolute deviation, and SD. We performed 1,000 simulations for 50 regions of size 3 kb and compared the true and false positive rates. We compared RIFT using the Inner Tukey to 2 existing methods: adaptive combination of p values (ADA) and a Bayesian hierarchical model (BeviMed). Finally, we applied this method to data from our targeted resequencing study in idiopathic pulmonary fibrosis (IPF).

Results: All outlier detection methods observed higher sensitivity to detect uncommon variants (0.001 < minor allele frequency, MAF > 0.03) compared to very rare variants (MAF <0.001). For uncommon variants, RIFT had a lower median false positive rate compared to the ADA. ADA and RIFT had significantly higher true positive rates than that observed for BeviMed. When applied to 2 regions found previously associated with IPF including 100 rare variants, we identified 6 polymorphisms with the greatest evidence for influencing the association with IPF.

Discussion: In summary, RIFT has a high true positive rate while maintaining a low false positive rate for identifying polymorphisms influencing rare variant association tests. This work provides an approach to obtain greater resolution of the rare variant signals within significant aggregate sets; this information can provide an objective measure to prioritize variants for follow-up experimental studies and insight into the biological pathways involved.