SNPs in inflammatory genes CCL11, CCL4 and MEFV in a fibromyalgia family study.

BACKGROUND: Fibromyalgia (FM) is a chronic pain syndrome with a high incidence in females that may involve activation of the immune system. We performed exome sequencing on chemokine genes in a region of chromosome 17 identified in a genome-wide family association study. METHODS AND FINDINGS: Exome sequence analysis of 100 FM probands was performed at 17p13.3-q25 followed by functional analysis of SNPs found in the chemokine gene locus. Missense SNPs (413) in 17p13.3-q25 were observed in at least 10 probands. SNPs rs1129844 in CCL11 and rs1719152 in CCL4 were associated with elevated plasma chemokine levels in FM. In a transmission disequilibrium test (TDT), rs1129844 was unequally transmitted from parents to their affected children (p< 0.0074), while the CCL4 SNP was not. The amino acid change (Ala23Thr), resulting from rs1129844 in CCL11, predicted to alter processing of the signal peptide, led to reduced expression of CCL11. The variant protein from CCL4 rs1719152 exhibited protein aggregation and a potent down-regulation of its cognate receptor CCR5, a receptor associated with hypotensive effects. Treatment of skeletal muscle cells with CCL11 produced high levels of CCL4 suggesting CCL11 regulates CCL4 in muscle. The immune association of FM with SNPs in MEFV, a chromosome 16 gene associated with recurrent fevers, had a p< 0.008 TDT for a combined 220 trios. CONCLUSIONS: SNPs with significant TDTs were found in 36% of the cohort for CCL11 and 12% for MEFV, along with a protein variant in CCL4 (41%) that affects CCR5 down-regulation, supporting an immune involvement for FM.

Discovery of potential new gene variants and inflammatory cytokine associations with fibromyalgia syndrome by whole exome sequencing.

Fibromyalgia syndrome (FMS) is a chronic musculoskeletal pain disorder affecting 2% to 5% of the general population. Both genetic and environmental factors may be involved. To ascertain in an unbiased manner which genes play a role in the disorder, we performed complete exome sequencing on a subset of FMS patients. Out of 150 nuclear families (trios) DNA from 19 probands was subjected to complete exome sequencing. Since >80,000 SNPs were found per proband, the data were further filtered, including analysis of those with stop codons, a rare frequency (<2.5%) in the 1000 Genomes database, and presence in at least 2/19 probands sequenced. Two nonsense mutations, W32X in C11orf40 and Q100X in ZNF77 among 150 FMS trios had a significantly elevated frequency of transmission to affected probands (p = 0.026 and p = 0.032, respectively) and were present in a subset of 13% and 11% of FMS patients, respectively. Among 9 patients bearing more than one of the variants we have described, 4 had onset of symptoms between the ages of 10 and 18. The subset with the C11orf40 mutation had elevated plasma levels of the inflammatory cytokines, MCP-1 and IP-10, compared with unaffected controls or FMS patients with the wild-type allele. Similarly, patients with the ZNF77 mutation have elevated levels of the inflammatory cytokine, IL-12, compared with controls or patients with the wild type allele. Our results strongly implicate an inflammatory basis for FMS, as well as specific cytokine dysregulation, in at least 35% of our FMS cohort.

Missense mutations in the MEFV gene are associated with fibromyalgia syndrome and correlate with elevated IL-1beta plasma levels.

BACKGROUND: Fibromyalgia syndrome (FMS), a common, chronic, widespread musculoskeletal pain disorder found in 2% of the general population and with a preponderance of 85% in females, has both genetic and environmental contributions. Patients and their parents have high plasma levels of the chemokines MCP-1 and eotaxin, providing evidence for both a genetic and an immunological/inflammatory origin for the syndrome (Zhang et al., 2008, Exp. Biol. Med. 233: 1171-1180). METHODS AND FINDINGS: In a search for a candidate gene affecting inflammatory pathways, among five screened in our patient samples (100 probands with FMS and their parents), we found 10 rare and one common alleles for MEFV, a gene in which various compound heterozygous mutations lead to Familial Mediterranean Fever (FMF). A total of 2.63 megabases of genomic sequence of the MEFV gene were scanned by direct sequencing. The collection of rare missense mutations (all heterozygotes and tested in the aggregate) had a significant elevated frequency of transmission to affecteds (p = 0.0085, one-sided, exact binomial test). Our data provide evidence that rare missense variants of the MEFV gene are, collectively, associated with risk of FMS and are present in a subset of 15% of FMS patients. This subset had, on average, high levels of plasma IL-1beta (p = 0.019) compared to FMS patients without rare variants, unaffected family members with or without rare variants, and unrelated controls of unknown genotype. IL-1beta is a cytokine associated with the function of the MEFV gene and thought to be responsible for its symptoms of fever and muscle aches. CONCLUSIONS: Since misregulation of IL-1beta expression has been predicted for patients with mutations in the MEFV gene, we conclude that patients heterozygous for rare missense variants of this gene may be predisposed to FMS, possibly triggered by environmental factors.

Analysis of cancer mutation signatures in blood by a novel ultra-sensitive assay: monitoring of therapy or recurrence in non-metastatic breast cancer.

BACKGROUND: Tumor DNA has been shown to be present both in circulating tumor cells in blood and as fragments in the plasma of metastatic cancer patients. The identification of ultra-rare tumor-specific mutations in blood would be the ultimate marker to measure efficacy of cancer therapy and/or early recurrence. Herein we present a method for detecting microinsertions/deletions/indels (MIDIs) at ultra-high analytical selectivity. MIDIs comprise about 15% of mutations. METHODS AND FINDINGS: We describe MIDI-Activated Pyrophosphorolysis (MAP), a method of ultra-high analytical selectivity for detecting MIDIs. The high analytical selectivity of MAP is putatively due to serial coupling of two rare events: heteroduplex slippage and mis-pyrophosphorolysis. MAP generally has an analytical selectivity of one mutant molecule per >1 billion wild type molecules and an analytical sensitivity of one mutant molecule per reaction. The analytical selectivity of MAP is about 100,000-fold better than that of our previously described method of Pyrophosphorolysis Activated Polymerization-Allele specific amplification (PAP-A) for detecting MIDIs. The utility of this method is illustrated in two ways. 1) We demonstrate that two EGFR deletions commonly found in lung cancers are not present in tissue from four normal human lungs (10(7) copies of gDNA each) or in blood samples from 10 healthy individuals (10(7) copies of gDNA each). This is inconsistent, at least at an analytical sensitivity of 10(-7), with the hypotheses of (a) hypermutation or (b) strong selection of these growth factor-mutated cells during normal lung development leads to accumulation of pre-neoplastic cells with these EGFR mutations, which sometimes can lead to lung cancer in late adulthood. Moreover, MAP was used for large scale, high throughput "gene pool" analysis. No germline or early embryonic somatic mosaic mutation was detected (at a frequency of >0.3%) for the 15/18 bp EGFR deletion mutations in 6,400 individuals, suggesting that early embryonic EGFR somatic mutation is very rare, inconsistent with hypermutation or strong selection of these deletions in the embryo. 2) The second illustration of MAP utility is in personalized monitoring of therapy and early recurrence in cancer. Tumor-specific p53 mutations identified at diagnosis in the plasma of six patients with stage II and III breast cancer were undetectable after therapy in four women, consistent with clinical remission, and continued to be detected after treatment in two others, reflecting tumor progression. CONCLUSIONS: MAP has an analytical selectivity of one part per billion for detection of MIDIs and an analytical sensitivity of one molecule. MAP provides a general tool for monitoring ultra-rare mutations in tissues and blood. As an example, we show that the personalized cancer signature in six out of six patients with non-metastatic breast cancer can be detected and that levels over time are correlated with the clinical course of disease.

Evidence for X-chromosomal schizophrenia associated with microRNA alterations.

BACKGROUND: Schizophrenia is a severe disabling brain disease affecting about 1% of the population. Individual microRNAs (miRNAs) affect moderate downregulation of gene expression. In addition, components required for miRNA processing and/or function have also been implicated in X-linked mental retardation, neurological and neoplastic diseases, pointing to the wide ranging involvement of miRNAs in disease. METHODS AND FINDINGS: To explore the role of miRNAs in schizophrenia, 59 microRNA genes on the X-chromosome were amplified and sequenced in males with (193) and without (191) schizophrenia spectrum disorders to test the hypothesis that ultra-rare mutations in microRNA collectively contribute to the risk of schizophrenia. Here we provide the first association of microRNA gene dysfunction with schizophrenia. Eight ultra-rare variants in the precursor or mature miRNA were identified in eight distinct miRNA genes in 4% of analyzed males with schizophrenia. One ultra-rare variant was identified in a control sample (with a history of depression) (8/193 versus 1/191, p = 0.02 by one-sided Fisher's exact test, odds ratio = 8.2). These variants were not found in an additional 7,197 control X-chromosomes. CONCLUSIONS: Functional analyses of ectopically expressed copies of the variant miRNA precursors demonstrate loss of function, gain of function or altered expression levels. While confirmation is required, this study suggests that microRNA mutations can contribute to schizophrenia.

Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.

BACKGROUND: Evidence strongly suggests that spontaneous doublet mutations in normal mouse tissues generally arise from chronocoordinate events. These chronocoordinate mutations sometimes reflect "mutation showers", which are multiple chronocoordinate mutations spanning many kilobases. However, little is known about mutagenesis of doublet and multiplet mutations (domuplets) in human cancer. Lung cancer accounts for about 25% of all cancer deaths. Herein, we analyze the epidemiology of domuplets in the EGFR and TP53 genes in lung cancer. The EGFR gene is an oncogene in which doublets are generally driver plus driver mutations, while the TP53 gene is a tumor suppressor gene with a more typical situation in which doublets derive from a driver and passenger mutation. METHODOLOGY/PRINCIPAL FINDINGS: EGFR mutations identified by sequencing were collected from 66 published papers and our updated EGFR mutation database (www.egfr.org). TP53 mutations were collected from IARC version 12 (www-p53.iarc.fr). For EGFR and TP53 doublets, no clearly significant differences in race, ethnicity, gender and smoking status were observed. Doublets in the EGFR and TP53 genes in human lung cancer are elevated about eight- and three-fold, respectively, relative to spontaneous doublets in mouse (6% and 2.3% versus 0.7%). CONCLUSIONS/SIGNIFICANCE: Although no one characteristic is definitive, the aggregate properties of doublet and multiplet mutations in lung cancer are consistent with a subset derived from chronocoordinate events in the EGFR gene: i) the eight frameshift doublets (present in 0.5% of all patients with EGFR mutations) are clustered and produce a net in-frame change; ii) about 32% of doublets are very closely spaced (< or =30 nt); and iii) multiplets contain two or more closely spaced mutations. TP53 mutations in lung cancer are very closely spaced (< or =30 nt) in 33% of doublets, and multiplets generally contain two or more very closely spaced mutations. Work in model systems is necessary to confirm the significance of chronocoordinate events in lung and other cancers.

A mouse model for nonsense mutation bypass therapy shows a dramatic multiday response to geneticin.

Aminoglycosides can bypass nonsense mutations and are the prototypic agents for translational bypass therapy (TBT). Initial results demonstrate the need for more potent drugs and an in vivo model system for quantitative assessment of TBT. Herein, we present an in vivo system for evaluating the efficacy of premature stop codon management therapies: in vivo quantitative stop codon management repli-sampling TBT efficacy assay (IQSCMaRTEA). Application of IQSCMaRTEA reveals that geneticin is much more efficacious in vivo than gentamicin. Treatment with geneticin elicits a multiday response, and residual F9 antigen can be detected after 3 weeks. These data demonstrate the utility of IQSCMaRTEA for evaluating drugs that bypass nonsense mutations. In addition, IQSCMaRTEA may be helpful for testing inhibitors of nonsense-mediated decay, as stop codon management therapy will sometimes require inhibition of nonsense-mediated decay and translational bypass of the nonsense mutation. Furthermore, geneticin, its metabolites, or better tolerated analogues should be evaluated as a general treatment with multiday response for severe genetic disease caused by nonsense mutation.

Increased risk of idiopathic chronic pancreatitis in cystic fibrosis carriers.

Cystic fibrosis (CF) is a recessive disease caused by mutations of the CF transmembrane conductance regulator (CFTR) gene. The risk of idiopathic chronic pancreatitis (ICP) is increased in individuals who have CFTR genotypes containing a CF-causing mutation plus a second pathogenic allele. It is unknown whether the risk of ICP is increased in CF carriers who have one CF-causing mutation plus one normal allele. In this study, 52 sporadic cases of ICP were ascertained through the European Registry of Hereditary Pancreatitis and Familial Pancreatic Cancer. Individuals with pathogenic cationic trypsinogen mutations were excluded. DNA was comprehensively tested for CFTR mutations using a robotically enhanced, multiplexed, and highly redundant form of single-strand conformation polymorphism (SSCP) analysis followed by DNA sequencing. Fifteen subjects had a total of 18 pathogenic CFTR alleles. Eight subjects had common CF-causing mutations. This group included seven CF carriers in whom the second CFTR allele was normal (4.3 times the expected frequency, P=0.0002). Three subjects had compound heterozygotes genotypes containing two pathogenic alleles (31 times the expected frequency, P<0.0001). A variant allele of uncertain significance (p.R75Q) was detected in eight of the 52 ICP subjects and at a similar frequency (13/96) in random donors. ICP differs from other established CFTR-related conditions in that ICP risk is increased in CF carriers who have one documented normal CFTR allele. Having two CFTR mutations imparts a higher relative risk, while having only one mutation imparts a higher attributable risk.

Mutation rates in the dystrophin gene: a hotspot of mutation at a CpG dinucleotide.

An analysis of mutations was performed in 141 Duchenne muscular dystrophy (DMD) patients previously found to be negative for large deletions by standard multiplex PCR assays. Comprehensive mutation scanning of all coding exons, adjacent intronic splice regions, and promoter sequences was performed by DOVAM-S, a robotically enhanced, high throughput method that detects essentially all point mutations. Samples negative for point mutations were further analyzed for duplications by multiplex amplifiable probe hybridization (MAPH). Presumptive causative mutations were detected in 90% of the patients (70% protein truncating point mutations, 13% duplications, and 7% deletions not detected by the standard multiplex screening method). A total of 40 of the mutations are putatively novel. Most duplications involve multiple exons with an average and median size of about 160 and 153 kb, respectively. This is the first analysis of the absolute and relative rates of point mutations in the dystrophin gene. Relative to microdeletions (0.68 x 10(-9) per bp per generation), transitions at CpG dinucleotides are enhanced 150-fold while complex indels, the least common mutation type, are less frequent than microdeletions by a factor of five. The frequency of microdeletions and microinsertions at mononucleotide repeats increases exponentially with length. When compared to the well-studied human factor IX gene (F9), the results are similar, with two exceptions: a hotspot of mutation in the dystrophin gene (c.8713C>T/p.R2905X) at a CpG dinucleotide and an altered size distribution of microdeletions. The hotspot reflects a difference in the underlying pattern of mutation, while the altered size distribution of microdeletions reflects certain abundant sequence motifs within the dystrophin coding sequence (relative to factor IX).

ATM missense mutations are frequent in patients with breast cancer.

Ataxia telangiectasia (A-T), an autosomal recessive neuro-immunologic disease with cancer susceptibility, results from ATM gene mutations. Most mutations in A-T patients cause protein truncation. Epidemiologic evidence suggests that ATM gene mutation carriers may be at increased risk for breast cancer, but the protein-truncating mutations that compose the majority of mutations in patients with ataxia telangiectasia are not elevated in women with breast cancer. In this report we present evidence that missense mutations in the ATM gene predispose to breast cancer. The analysis was performed in two phases in a total of 90 women with breast cancer and 90 ethnically similar control individuals. DOVAM-S, a robotically enhanced multiplexed, highly redundant form of SSCP in which virtually all mutations within the input amplicons can be detected, was used to scan all the coding exons and flanking splice junctions. Cohort-specific mutations were significantly elevated in women with breast cancer in phase 1 (43 cases) and phase 2 (47 cases). For the 90 patients and 90 controls, total missense mutations were significantly elevated in cases [OR=2.0; 90% CI=1.01-4.15]. Cohort-specific missense variants displayed an odds ratio of 4.0 (90% CI=1.37-13.5). It is estimated that the attributable risk of mutations in the ATM gene is 13% in this cohort of women with breast cancer.

Absence of somatic ATM missense mutations in 58 mammary carcinomas.

Accumulating evidence indicates that germline missense mutations in the ATM gene predispose to breast cancer. To investigate the potential role of somatic ATM mutations in the tumorigenesis of breast cancer, the ATM gene was scanned in 58 mammary carcinomas using DOVAM-S (detection of virtually all mutations-SSCP [single-strand conformation polymorphism]), a robotically enhanced, highly redundant form of SSCP that detects virtually all mutations. A total of 1.65 megabases of tumor DNA sequence was scanned and 16 structural variants were identified, including one novel nonsense mutation, four novel missense mutations, and a common missense change in African-Americans. Sequencing from microdissected normal cells reveals that all variants were present in the germline. Thus, the ATM gene may be similar to the BRCA1/BRCA2 genes in that germline mutations are important in cancer predisposition, but somatic mutations are seldom present in tumors. Loss of heterozygosity (LOH) is common in these tumors, but ATM missense mutations occur with similar frequencies when LOH is present or absent (P=0.73). If germline ATM missense mutations predispose to breast cancer, the unmasking of a recessive missense allele by LOH does not seem to be a critical step in breast neoplasia.

Elevated frequency of ATM gene missense mutations in breast cancer relative to ethnically matched controls.

Studies of families of patients with ataxia telangiectasia (A-T) show an increased risk of breast cancer in heterozygous A-T carriers. However, expected increased levels of mutations in the ATM gene among unselected breast cancer patients have not been found to date. Previous methods of mutation detection were biased toward the detection of truncating mutations, and single nucleotide substitutions were likely to have been underreported. In this study, genomic DNA from 43 breast cancer patients and 43 control individuals were scanned for mutations in the entire ATM coding region (exons 4-65) and adjacent intronic splice regions (three megabases total) using detection of virtually all mutation-single-strand conformation polymorphism (SSCP), a modification of SSCP with sufficient redundancy to detect virtually all mutations. Excluding a polymorphism found commonly in cases and controls, there were missense changes in 12 breast cancer patients, one of whom also had a protein truncating mutation, versus six controls (P=0.09). When all structural changes common to the cases and controls were excluded, missense or truncating changes were found in 10 cases compared to two in controls (P=0.013). The background of missense changes in controls is high. There is a trend towards elevation of all structural changes in cases, but the results are not statistically significant. Cohort-specific structural changes are significantly more prevalent in the breast cancer patients. The data are compatible with certain missense mutations in ATM predisposing to breast cancer.

Mutations in the factor IX gene (F9) during the past 150 years have relative rates similar to ancient mutations.

Pollutants and dietary mutagens have been associated with somatic mutation and cancer, but the extent of their influence on germline mutation is not clear. Since deleterious germline mutations can be transmitted for thousands of years, any influence on germline mutation from the vast increase in man-made chemicals of the past 150 years would be an important public health issue. Observed disease causing mutations in the X-linked factor IX gene (F9) of hemophilia B patients originated predominantly in the past 150 years, since the half-life of these mutations in human populations had been about two generations before effective treatment became available about a generation ago. Recent changes in germline mutational processes may be detected by comparison of the observed hemophilia B causing mutation pattern in F9 with the pattern of neutral polymorphisms which occurred over a much longer period of time. By scanning a total of 1.5 megabases of deep intronic regions of F9 in the genomic DNA from 84 individuals, 42 neutral polymorphisms were found in 23 haplotypes that differed by at least 11 mutations from the ancestral primate haplotype. By sequencing F9 in seven non-human primates, 39 of these polymorphisms were characterized as ancient mutations relative to a unanimous ancestral primate allele. This ancient mutation pattern was compared to the recent pattern of hemophilia B causing mutations. Remarkably, no significant difference was found (P=0.5), suggesting that the vast increase in man-made chemicals during the past 150 years has not had a major impact on the pattern of human germline mutation. This result is consistent with the hypothesis that endogenous processes dominate germline mutation.