Mutation analyses in pedigrees and sporadic cases of ethnic Han Chinese Kallmann syndrome patients

Kallmann syndrome, a form of idiopathic hypogonadotropic hypogonadism, is characterized by developmental abnormalities of the reproductive system and abnormal olfaction. Despite association of certain genes with idiopathic hypogonadotropic hypogonadism, the genetic inheritance and expression are complex and incompletely known. In the present study, seven Kallmann syndrome pedigrees in an ethnic Han Chinese population were screened for genetic mutations. The exons and intron–exon boundaries of 19 idiopathic hypogonadotropic hypogonadism (idiopathic hypogonadotropic hypogonadism)-related genes in seven Chinese Kallmann syndrome pedigrees were sequenced. Detected mutations were also tested in 70 sporadic Kallmann syndrome cases and 200 Chinese healthy controls. In pedigrees 1, 2, and 7, the secondary sex characteristics were poorly developed and the patients’ sense of smell was severely or completely lost. We detected a genetic mutation in five of the seven pedigrees: homozygous KAL1 p.R191ter (pedigree 1); homozygous KAL1 p.C13ter (pedigree 2; a novel mutation); heterozygous FGFR1 p.R250W (pedigree 3); and homozygous PROKR2 p.Y113H (pedigrees 4 and 5). No genetic change of the assayed genes was detected in pedigrees 6 and 7. Among the 70 sporadic cases, we detected one homozygous and one heterozygous PROKR2 p.Y113H mutation. This mutation was also detected heterozygously in 2/200 normal controls and its pathogenicity is likely questionable. The genetics and genotype–phenotype relationships in Kallmann syndrome are complicated. Classical monogenic inheritance does not explain the full range of genetic inheritance of Kallmann syndrome patients. Because of stochastic nature of genetic mutations, exome analyses of Kallmann syndrome patients may provide novel insights.     

Delineating the Hemostaseome as an aid to individualize the analysis of the hereditary basis of thrombotic and bleeding disorders

Next-generation sequencing and genome-wide association studies represent powerful tools to identify genetic variants that confer disease risk within populations. On their own, however, they cannot provide insight into how these variants contribute to individual risk for diseases that exhibit complex inheritance, or alternatively confer health in a given individual. Even in the case of well-characterized variants that confer a significant disease risk, more healthy individuals carry the variant, with no apparent ill effect, than those who manifest disease. Access to low-cost genome sequence data promises to provide an unprecedentedly detailed view of the nature of the hereditary component of complex diseases, but requires the large-scale comparison of sequence data from individuals with and without disease to deliver a clinical calibration. The provision of informatics support remains problematic as there are currently no means to interpret the data generated. Here, we initiate this process, a prerequisite for such a study, by narrowing the focus from an entire genome to that of a single biological system. To this end, we examine the ‘Hemostaseome,’ and more specifically focus on DNA sequence changes pertaining to those human genes known to impact upon hemostasis and thrombosis that can be analyzed coordinately, and on an individual basis, to interrogate how specific combinations of variants act to confer disease predisposition. As a first step, we delineate known members of the Hemostaseome and explore the nature of the genetic variants that may cause disease in individuals whose hemostatic balance has become shifted toward either a prothrombotic or anticoagulant phenotype.     

Hereditary osteoarthritis in dairy cows

Bilateral spontaneous osteoarthritis of the stifle joint was observed to cause progressive lameness in 3 Holstein-Friesian and 52 Jersey cows 5–13 years old. Both breeds were represented by one herd each, and no affected males were ascertained in either herd. Pedigree information in case of the Holstein-Friesians and maximum likelihood proportions of arthritics in maternal halfsib families in case of the Jerseys suggest inheritance of the disease in dairy cows by means of a single pair of autosomal recessive genes. Penetrance is very low, mainly because of the variable and late age of onset. The literature concerning genetic aspects of the disease in mammals is reviewed.     

The HDAC9-associated risk locus promotes coronary artery disease by governing TWIST1

Genome wide association studies (GWAS) have identified thousands of single nucleotide polymorphisms (SNPs) associated with the risk of common disorders. However, since the large majority of these risk SNPs reside outside gene-coding regions, GWAS generally provide no information about causal mechanisms regarding the specific gene(s) that are affected or the tissue(s) in which these candidate gene(s) exert their effect. The ‘gold standard’ method for understanding causal genes and their mechanisms of action are laborious basic science studies often involving sophisticated knockin or knockout mouse lines, however, these types of studies are impractical as a high-throughput means to understand the many risk variants that cause complex diseases like coronary artery disease (CAD). As a solution, we developed a streamlined, data-driven informatics pipeline to gain mechanistic insights on complex genetic loci. The pipeline begins by understanding the SNPs in a given locus in terms of their relative location and linkage disequilibrium relationships, and then identifies nearby expression quantitative trait loci (eQTLs) to determine their relative independence and the likely tissues that mediate their disease-causal effects. The pipeline then seeks to understand associations with other disease-relevant genes, disease sub-phenotypes, potential causality (Mendelian randomization), and the regulatory and functional involvement of these genes in gene regulatory co-expression networks (GRNs). Here, we applied this pipeline to understand a cluster of SNPs associated with CAD within and immediately adjacent to the gene encoding HDAC9. Our pipeline demonstrated, and validated, that this locus is causal for CAD by modulation of TWIST1 expression levels in the arterial wall, and by also governing a GRN related to metabolic function in skeletal muscle. Our results reconciled numerous prior studies, and also provided clear evidence that this locus does not govern HDAC9 expression, structure or function. This pipeline should be considered as a powerful and efficient way to understand GWAS risk loci in a manner that better reflects the highly complex nature of genetic risk associated with common disorders.     

Network Properties of Complex Human Disease Genes Identified through Genome-Wide Association Studies

Background

Previous studies of network properties of human disease genes have mainly focused on monogenic diseases or cancers and have suffered from discovery bias. Here we investigated the network properties of complex disease genes identified by genome-wide association studies (GWAs), thereby eliminating discovery bias.

Principal findings

We derived a network of complex diseases (n = 54) and complex disease genes (n = 349) to explore the shared genetic architecture of complex diseases. We evaluated the centrality measures of complex disease genes in comparison with essential and monogenic disease genes in the human interactome. The complex disease network showed that diseases belonging to the same disease class do not always share common disease genes. A possible explanation could be that the variants with higher minor allele frequency and larger effect size identified using GWAs constitute disjoint parts of the allelic spectra of similar complex diseases. The complex disease gene network showed high modularity with the size of the largest component being smaller than expected from a randomized null-model. This is consistent with limited sharing of genes between diseases. Complex disease genes are less central than the essential and monogenic disease genes in the human interactome. Genes associated with the same disease, compared to genes associated with different diseases, more often tend to share a protein-protein interaction and a Gene Ontology Biological Process.

Conclusions

This indicates that network neighbors of known disease genes form an important class of candidates for identifying novel genes for the same disease.     

Genome‐wide association mapping and pathway analysis of leukosis incidence in a US Holstein cattle population

Bovine leukosis virus is an oncogenic virus that infects B cells, causing bovine leukosis disease. This disease is known to have a negative impact on dairy cattle production and, because no treatment or vaccine is available, finding a possible genetic solution is important. Our objective was to perform a comprehensive genetic analysis of leukosis incidence in dairy cattle. Data on leukosis occurrence, pedigree and molecular information were combined into multitrait GBLUP models with milk yield (MY) and somatic cell score (SCS) to estimate genetic parameters and to perform whole‐genome scans and pathway analysis. Leukosis data were available for 11 554 Holsteins daughters of 3002 sires from 112 herds in 16 US states. Genotypes from a 60K SNP panel were available for 961 of those bulls as well as for 2039 additional bulls. Heritability for leukosis incidence was estimated at about 8%, and the genetic correlations of leukosis disease incidence with MY and SCS were moderate at 0.18 and 0.20 respectively. The genome‐wide scan indicated that leukosis is a complex trait, possibly modulated by many genes. The gene set analysis identified many functional terms that showed significant enrichment of genes associated with leukosis. Many of these terms, such as G‐Protein Coupled Receptor Signaling Pathway, Regulation of Nucleotide Metabolic Process and different calcium‐related processes, are known to be related to retrovirus infection. Overall, our findings contribute to a better understanding of the genetic architecture of this complex disease. The functional categories associated with leukosis may be useful in future studies on fine mapping of genes and development of dairy cattle breeding strategies.     

Dynamics of Cell Shape Inheritance in Fission Yeast

Every cell has a characteristic shape key to its fate and function. That shape is not only the product of genetic design and of the physical and biochemical environment, but it is also subject to inheritance. However, the nature and contribution of cell shape inheritance to morphogenetic control is mostly ignored. Here, we investigate morphogenetic inheritance in the cylindrically-shaped fission yeast Schizosaccharomyces pombe. Focusing on sixteen different ‘curved’ mutants - a class of mutants which often fail to grow axially straight – we quantitatively characterize their dynamics of cell shape inheritance throughout generations. We show that mutants of similar machineries display similar dynamics of cell shape inheritance, and exploit this feature to show that persistent axial cell growth in S. pombe is secured by multiple, separable molecular pathways. Finally, we find that one of those pathways corresponds to the swc2-swr1-vps71 SWR1/SRCAP chromatin remodelling complex, which acts additively to the known mal3-tip1-mto1-mto2 microtubule and tea1-tea2-tea4-pom1 polarity machineries.     

Selection against genetic defects in conservation schemes while controlling inbreeding

We studied different genetic models and evaluation systems to select against a genetic disease with additive, recessive or polygenic inheritance in genetic conservation schemes. When using optimum contribution selection with a restriction on the rate of inbreeding (ΔF) to select against a disease allele, selection directly on DNA-genotypes is, as expected, the most efficient strategy. Selection for BLUP or segregation analysis breeding value estimates both need 1–2 generations more to halve the frequency of the disease allele, while these methods do not require knowledge of the disease mutation at the DNA level. BLUP and segregation analysis methods were equally efficient when selecting against a disease with single gene or complex polygene inheritance, i.e. knowledge about the mode of inheritance of the disease was not needed for efficient selection against the disease. Smaller schemes or schemes with a more stringent restriction on ΔF needed more generations to halve the frequency of the disease alleles or the fraction of diseased animals. Optimum contribution selection maintained ΔF at its predefined level, even when selection of females was at random. It is argued that in the investigated small conservation schemes with selection against a genetic defect, control of ΔF is very important.     

血脂异常遗传性疾病的研究现状

血脂异常(Dyslipidemia)是指血浆中胆固醇和(或)甘油三酯水平升高, 可导致严重的心血管疾病, 常以冠心病和脑中风为首发表现, 该类疾病严重危害着人们的健康。一些血脂异常疾病具有遗传性, 主要包括孟德尔遗传和多基因遗传。传统检测血脂异常相关基因的方法主要有DNA测序和连锁分析, 适合于孟德尔遗传性血脂异常疾病。最近几年兴起的新一代测序技术(Next-generation sequencing)不仅适用于孟德尔遗传性血脂异常疾病的研究, 同样适用于复杂性血脂异常疾病。2006年至今, 运用全基因组关联分析(Genome wide association study, GWAS)筛出许多与血脂异常疾病相关的基因, 这些基因和早期孟德尔遗传家系确定的基因多数相同。GWAS频谱分析发现, 复杂性疾病相关的基因变异频率存在差异, 并且几乎所有筛查出的与血脂异常疾病相关的单核苷酸多态性(Single nucleotide polymorphisms, SNPs)变异均位于非编码区, 使得人们逐渐对非编码区基因变异展开了研究。血脂异常致病基因的发现和基因变异致病机制的阐明, 为血脂异常疾病提供新的治疗靶点, 并为新一代药物筛选提供新思路。文章对血脂异常遗传性疾病的研究现状进行了综述。     

Genetic variation in human disease and a new role for copy number variants

While complex diseases, such as inflammatory bowel disease, do not follow distinctive Mendelian inheritance patterns, there is now considerable evidence from twin and pedigree studies to show that there are significant genetic influences in the development of many such diseases. In times past, this type of information was considered to be interesting, and was used mainly to alert other members of the families that they may also be at increased risk of developing the disease. However, with the ability to evaluate the genetic basis of common disease, this information will have important consequences for the diagnosis, prevention and treatment of the disorder. The genetic basis for common disease is likely to be more complicated than we had previously anticipated, since we now recognise epigenetic causes of disease, and other subtle gene regulatory mechanisms. Copy number variants have been highlighted in this review, as being a phenomenon that we have known about for a long time, but that has not previously been clearly associated with human disease. As complex disease is related to changes in gene expression, any variation in the human genome that alters gene expression is now a candidate for being involved in the disease process.     

Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases

One of the challenging problems in biology and medicine is exploring the underlying mechanisms of genetic diseases. Recent studies suggest that the relationship between genetic diseases and the aging process is important in understanding the molecular mechanisms of complex diseases. Although some intricate associations have been investigated for a long time, the studies are still in their early stages. In this paper, we construct a human disease-aging network to study the relationship among aging genes and genetic disease genes. Specifically, we integrate human protein-protein interactions (PPIs), disease-gene associations, aging-gene associations, and physiological system–based genetic disease classification information in a single graph-theoretic framework and find that (1) human disease genes are much closer to aging genes than expected by chance; and (2) diseases can be categorized into two types according to their relationships with aging. Type I diseases have their genes significantly close to aging genes, while type II diseases do not. Furthermore, we examine the topological characters of the disease-aging network from a systems perspective. Theoretical results reveal that the genes of type I diseases are in a central position of a PPI network while type II are not; (3) more importantly, we define an asymmetric closeness based on the PPI network to describe relationships between diseases, and find that aging genes make a significant contribution to associations among diseases, especially among type I diseases. In conclusion, the network-based study provides not only evidence for the intricate relationship between the aging process and genetic diseases, but also biological implications for prying into the nature of human diseases.     

Drosophila as a Model Organism for Investigating Molecular and Cellular Etiologies Underlying Complex Neurological Disorders in Humans

The fruit fly Drosophila has been utilized as a powerful biological system to address fundamental questions concerning neurological disorders in humans, since the related basic molecular components and signal transduction pathways in humans are mostly conserved in Drosophila. In addition, Drosophila offers great experimental advantages in genetics, behavioral analysis and cell and molecular biology. Pathogenesis and etiologies underlying several monogenic neurological disorders including familial Parkinson disease, Alzheimer's disease, or ataxia have been faithfully replicated in Drosophila system when causative mutations of those disorders were transgenically introduced or loss of function mutations of endogenous homologues were made. However, more than 90% of reported cases of neurological disorders are complex forms whose inheritance patterns do not follow a monogenic inheritance. Nevertheless, complex disorders are more often observed among the families or relatives of affected patients, strongly suggesting that they are most likely to be caused by interaction of multiple genetic mutations or combinations of genetic and environmental risk factors. Complex neurological disorders are include sporadic forms of Parkinson disease, Alzheimer's disease, amyotrophic lateral sclerosis (ALS), dystonia, epilepsy, and mental retardation, etc. Our understanding of the genetic defects and environmental risk factors involved in the onset and progression of complex neurological disorders are, however, still rudimentary. Thus identifying unknown factors involved in the onset and progression of complex neurological disorders in humans is one of the major challenges in medical sciences.     

Epigenetics in disease: Leader or follower?

Epigenetic silencing is a pervasive mode of gene regulation in multicellular eukaryotes: stable differentiation of somatic cell types requires the maintenance of subsets of genes in an active or silent state. The variety of molecules involved, and the requirement for active maintenance of epigenetic states, creates the potential for errors on a large scale. When epigenetic errors - or epimutations - activate or inactivate a critical gene, they may cause disease. An epimutation that occurs in the germline or early embryo can affect all, or most, of the soma and phenocopy genetic disease. But the stochastic and reversible nature of epigenetic phenomena predicts that epimutations are likely to be mosaic and inherited in a nonmendelian manner; epigenetic diseases will thus rarely behave in the comfortably predictable manner of genetic diseases but will display variable expressivity and complex patterns of inheritance. Much phenotypic variation and common disease might be explained by epigenetic variation and aberration. The known examples of true epigenetic disease are at present limited, but this may reflect only the difficulty in distinguishing causal epigenetic aberrations from those that are merely consequences of disease, a challenge further extended by the impact of environmental agents on epigenetic mechanisms. The rapidly developing molecular characterization of epigenomes, and the new ability to survey epigenetic marks on whole genomes, may answer many questions about the causal role of epigenetics in disease; these answers have the potential to transform our understanding of human disease.     

The Genome of Nectria haematococca: Contribution of Supernumerary Chromosomes to Gene Expansion

The ascomycetous fungus Nectria haematococca, (asexual name Fusarium solani), is a member of a group of >50 species known as the “Fusarium solani species complex”. Members of this complex have diverse biological properties including the ability to cause disease on >100 genera of plants and opportunistic infections in humans. The current research analyzed the most extensively studied member of this complex, N. haematococca mating population VI (MPVI). Several genes controlling the ability of individual isolates of this species to colonize specific habitats are located on supernumerary chromosomes. Optical mapping revealed that the sequenced isolate has 17 chromosomes ranging from 530 kb to 6.52 Mb and that the physical size of the genome, 54.43 Mb, and the number of predicted genes, 15,707, are among the largest reported for ascomycetes. Two classes of genes have contributed to gene expansion: specific genes that are not found in other fungi including its closest sequenced relative, Fusarium graminearum; and genes that commonly occur as single copies in other fungi but are present as multiple copies in N. haematococca MPVI. Some of these additional genes appear to have resulted from gene duplication events, while others may have been acquired through horizontal gene transfer. The supernumerary nature of three chromosomes, 14, 15, and 17, was confirmed by their absence in pulsed field gel electrophoresis experiments of some isolates and by demonstrating that these isolates lacked chromosome-specific sequences found on the ends of these chromosomes. These supernumerary chromosomes contain more repeat sequences, are enriched in unique and duplicated genes, and have a lower G+C content in comparison to the other chromosomes. Although the origin(s) of the extra genes and the supernumerary chromosomes is not known, the gene expansion and its large genome size are consistent with this species'' diverse range of habitats. Furthermore, the presence of unique genes on supernumerary chromosomes might account for individual isolates having different environmental niches.     

Dynamic mutations in human genes: A review of trinucleotide repeat diseases

Dynamic mutations in human genes result from unstable trinucleotide repeats embedded within the transcribed region. The changeable nature of these mutations from generation to generation is in contrast to the static inheritance of other single-gene mutational events, e.g. point mutations, deletions, insertions and inversions, typically associated with Mendelian inheritance patterns. Intergenerational instability of dynamic mutations within families has provided an explanation for the genetic anticipation, leading to increasing severity or earlier age of onset in successive generations, associated with certain inherited disorders. While models for genomic instability presume that trinucleotide repeat expansion results from disruption of the DNA replication process, experimental evidence has not yet been obtained in support of this contention. Nevertheless, examples of unstable trinucleotide repeats continue to increase, although not all are associated with a specific phenotype. Five disorders resulting from small-scale expansions of CAG repeats within the protein-coding region are known: spinobulbar muscular atrophy, Huntington’s disease, spinocerebellar ataxia type 1, dentatorubral-pallidoluysian atrophy (DRPLA) and Machado-Joseph disease. A sixth disorder, Haw River syndrome, is allelic to DRPLA. Five folate-sensitive chromosomal fragile sites characterized to date, viz. FRAXA, FRAXE, FRAXF, FRA11B and FRA16A, all have large-scale CGG repeat expansion. Two disorders, fragile X syndrome and FRAXE mental retardation, result from instability of CGG repeats in the 5’ untranslated region ofFMR1 andF M R2 genes respectively. FRA11B lies close to chromosome 1 1q deletion endpoints in many Jacobsen syndrome patients and may be related to the deletion event producing partial aneuploidy for 1lq. Expansion of FRAXF and FRA16A has not been associated with a phenotype. Myotonic dystrophy results from a large-scale CTG expansion in the 3’ untranslated region of the myotonin protein kinase gene while Friedreich’s ataxia has recently been found to have a large-scale GAA repeat in the first intron ofX25. This article reviews the characteristics of trinucleotide repeat disorders and summarizes current understanding of the molecular pathophysiology.     

Genetic influences on osteoarthritis in women: a twin study.

OBJECTIVES--To assess the relative contribution of genetic and environmental factors to common forms of osteoarthritis of the hands and knees. DESIGN--Classic twin study with unselected twins who were screened radiologically for osteoarthritis. SUBJECTS--130 identical and 120 non-identical female twins aged 48-70 recruited from a London based twin register and through a national media campaign. MAIN OUTCOME MEASURES--Similarity in identical compared with non-identical twin pairs for radiographic changes at the interphalangeal and first carpometacarpal joints of the hands and the tibiofemoral joint and patellofemoral joint of the knee expressed as intraclass correlations. RESULTS--The intraclass correlations of radiographic osteophytes and narrowing at most sites and the presence of Heberden''s nodes and knee pain were higher in the identical pairs. The intraclass correlation of the total radiographic osteoarthritis score in identical pairs (rMZ) was 0.64 (SE 0.05) compared with 0.38 (0.08) in non-identical pairs. The proportion of genetic variance of total osteoarthritis score (osteophytes and narrowing) with modelling techniques was estimated at 0.54 (95% confidence interval 0.43 to 0.65) and ranged from 0.39 to 0.65 for different sites and features (p < 0.001) after adjustment for age and weight. CONCLUSIONS--These results demonstrate for the first time a clear genetic effect for radiographic osteoarthritis of the hand and knee in women, with a genetic influence ranging from 39-65%, independent of known environmental or demographic confounders. The results of this study should lead to further work on isolating the gene or genes involved in the pathogenesis of the common disabling disease.     

“Just Get on with It”: Qualitative Insights of Coming to Terms with a Deteriorating Body for Older Women with Osteoarthritis

Objective

To qualify the psychosocial burden of osteoarthritis for older women and identify factors perceived to assist with psychological adjustment to the disease.

Methods

Women who indicated being diagnosed/treated for osteoarthritis in the previous three years in the fifth survey of the Australian Longitudinal Study on Women’s Health provided the sampling frame. Participants were randomly sampled until saturation was reached using a systematic process. Thematic content analysis was applied to the 19 semi-structured telephone interviews using a realist framework.

Results

The findings indicate that the emotional burden of osteoarthritis is considerable, and the process of psychological adjustment complex. Older women with osteoarthritis have psychological difficulties associated with increasing pain and functional impairment. Psychological adjustment over time was attributed primarily to cognitive and attitudinal factors (e.g. stoicism, making downward comparisons and possessing specific notions about the cause of arthritis). This was a dynamic ‘day to day’ process involving a constant struggle between grieving physical losses and increasing dependence amidst symptom management.

Conclusion

The findings of this study add to the current understanding of the complex processes involved in psychological adjustment over time. Targeted interventions focused on assisting women with arthritis redefine self-concepts outside the confines of caring responsibilities, coupled with public health education programs around understanding the destructive nature of arthritis are required. Understanding the destructive and (potentially) preventable nature of arthritis may facilitate early detection and increased uptake of appropriate treatment options for osteoarthritis that have the ability to modify disease trajectories.     

The chondrocyte,architect of cartilage. Biomechanics,structure, function and molecular biology of cartilage matrix macromolecules

Chondrocytes are specialised cells which produce and maintain the extracellular matrix of cartilage, a tissue that is resilient and pliant. In vivo, it has to withstand very high compressive loads, and that is explicable in terms of the physico-chemical properties of cartilage-specific macromolecules and with the movement of water and ions within the matrix. The functions of the cartilage-specific collagens, aggrecan (a hydrophilic proteoglycan) and hyaluronan are discussed within this context. The structures of cartilage collagens and proteoglycans and their genes are known and a number of informative mutations have been identified. In particular, collagen fibrillogenesis is a complex process which can be altered by mutations whose effects fit what is known about collagen molecular structural functions. In other instances, mutations have indicated new functions for particular molecular domains. As cartilage provides the template for the developing skeleton, mutations in genes for cartilage-specific proteins often produce developmental abnormalities. The search for mutations amongst such genes in heritable disorders is being actively pursued by many groups, although mutation and phenotype are not always well correlated, probably because of compensatory mechanisms. The special nature of the chondrocyte is stressed in connection with its cell involvement in osteoarthritis, the most widespread disease of diarthrodial joints.