Abstract
Encephalocraniocutaneous lipomatosis (ECCL) is a sporadic condition characterized by ocular, cutaneous, and central nervous system anomalies. Key clinical features include a well-demarcated hairless fatty nevus on the scalp, benign ocular tumors, and central nervous system lipomas. Seizures, spasticity, and intellectual disability can be present, although affected individuals without seizures and with normal intellect have also been reported. Given the patchy and asymmetric nature of the malformations, ECCL has been hypothesized to be due to a post-zygotic, mosaic mutation. Despite phenotypic overlap with several other disorders associated with mutations in the RAS-MAPK and PI3K-AKT pathways, the molecular etiology of ECCL remains unknown. Using exome sequencing of DNA from multiple affected tissues from five unrelated individuals with ECCL, we identified two mosaic mutations, c.1638C>A (p.Asn546Lys) and c.1966A>G (p.Lys656Glu) within the tyrosine kinase domain of FGFR1, in two affected individuals each. These two residues are the most commonly mutated residues in FGFR1 in human cancers and are associated primarily with CNS tumors. Targeted resequencing of FGFR1 in multiple tissues from an independent cohort of individuals with ECCL identified one additional individual with a c.1638C>A (p.Asn546Lys) mutation in FGFR1. Functional studies of ECCL fibroblast cell lines show increased levels of phosphorylated FGFRs and phosphorylated FRS2, a direct substrate of FGFR1, as well as constitutive activation of RAS-MAPK signaling. In addition to identifying the molecular etiology of ECCL, our results support the emerging overlap between mosaic developmental disorders and tumorigenesis.
Main Text
Congenital malformations featuring asymmetry, focal anomalies, or segmental overgrowth have long been hypothesized to be due to post-zygotic (mosaic) mutations.1 Gene discovery for these disorders has been challenging due to the absence of familial recurrence, difficulty obtaining affected tissues, and the challenge of detecting low-frequency genetic variation. Encephalocraniocutaneous lipomatosis (ECCL; [MIM 613001]) is a sporadic neurocutaneous disorder characterized by patchy, asymmetric malformations and absence of familial recurrence.2 Given this presentation, as well as an equal sex ratio and the occurrence of discordant monozygotic twins, ECCL has been hypothesized to be due to mosaic mutations.3, 4, 5 ECCL is characterized by cutaneous, ocular, and central nervous system (CNS) abnormalities, and in the absence of known genetic cause, diagnosis has been based on the presence of characteristic clinical features.2, 6 The most characteristic skin anomaly in ECCL is nevus psiloliparus, a well-demarcated, alopecic fatty tissue nevus on the scalp seen in 80% of affected individuals.2 Other dermatologic features include frontotemporal or zygomatic subcutaneous fatty lipomas, non-scarring alopecia, focal dermal hypoplasia or aplasia of the scalp, periocular skin tags, and pigmentary abnormalities following the lines of Blaschko. Choristomas of the eye (epibulbar dermoids or lipodermoids) are also frequent (80% of individuals with ECCL), and can be unilateral or bilateral.2 Characteristic CNS features in ECCL include intracranial and intraspinal lipomas (61% of affected individuals), and less often cerebral asymmetry, arachnoid cysts, enlarged ventricles, and leptomeningeal angiomatosis.7 A predisposition to low-grade gliomas has also been observed.8, 9, 10, 11, 12 Seizures and intellectual disability are common but normal intellect is seen in a third of affected individuals.2 Skeletal manifestations include bone cysts and jaw tumors, such as odontomas, osteomas, and ossifying fibromas.13 ECCL had been proposed to be a localized form of Proteus syndrome (MIM 176920), although diagnostic criteria suggest that the two conditions are clinically distinct.2
To identify the molecular etiology of ECCL, we performed exome sequencing (ES) on DNA samples from five unrelated ECCL probands (IN_0039, LR12-068, LR13-278, LR13-175, NIH_183). Written informed consent to participate in this study was obtained for each participant. This study was approved by ethics review boards at the Children’s Hospital of Eastern Ontario, Seattle Children’s Hospital, and the National Human Genome Research Institute. Clinical features of these affected individuals are described in Table 1 and highlighted in Figures 1A–1D. To maximize the likelihood of detecting low frequency, tissue-restricted mosaic variants, we sequenced DNA at high coverage (64-172X) from probands’ affected and unaffected tissue where possible. ES was also performed on blood-derived DNA from parents of probands LR12-068, LR13-278, LR13-175, NIH_183, and from the unaffected monozygotic twin sibling of IN_0039. ES platforms and data analyses are detailed in Tables S1 and S2. Genomic alterations identified by ES were screened against variants in the NHLBI Exome Sequencing Project Exome Variant Server (EVS), the Exome Aggregation Consortium (ExAC), the NCBI database (dbSNP), and in-house variant databases. Variants inherited from a parent, or present in the unaffected twin in the case of IN_0039, were also filtered out.
Table 1.
LR12-068 | LR13-278 | IN_0039 | NIH_183 | LR14-261 | |
---|---|---|---|---|---|
FGFR1 mutation | c.1966A>G (p.Lys656Glu) | c.1638C>A (p.Asn546Lys) | c.1638C>A (p.Asn546Lys) | c.1966A>G (p.Lys656Glu) | c.1638C>A (p.Asn546Lys) |
Mutation discovery method | ES | ES | ES | ES | smMIP |
Age at last assessment | 7 y | 15 y | 17 m | 2 y 8m | 5 y |
Gender | M | M | M | M | F |
Neurocognitive function | normal | delayed, in special skills class | normal | normal | normal |
Seizures | no | yes | no | no | no |
Intracranial lipomas | yes | yes | yes | no | yes |
Spinal lipomas | no | not assessed | yes (T2/3 and L5/S1) | no | no |
CNS Other | Pilomyxoid/ pilocytic astrocytoma WHO I |
Tectal tumor, left temporal cortical dysplasia | no | Pilocytic/ pilomyxoid astrocytoma WHO II |
no |
Nevus psiloliparus | yes | yes | yes | yes | yes |
Alopecia | yes | yes | yes | yes (right parietal) | yes |
Subcutaneous lipoma | yes (fronto-temporal) | yes | yes (fronto-temporal) | yes (parietal) | yes |
Focal scalp aplasia | yes | yes | yes | yes | no |
Skin tags | yes (eyelid) | yes | yes | yes (right eyelid, anterior to right ear) | yes |
Choristoma | yes (bilateral) | yes | yes (right) | no | yes |
Coloboma | no | yes (left upper eyelid) | yes (left upper eyelid, iris and bilateral retinal) | no (but segmental iris heterochromia present) | no |
Prior Publication | no | yes59 | no | yes8 | yes60 |
Abbreviations are as follows: ES (exome sequencing) and mMIP (single molecule molecular inversion probes).
Two rare missense variants, c.1638C>A (p.Asn546Lys) and c.1966A>G (p.Lys656Glu), located within the intracellular tyrosine kinase domain of FGFR1 (NM_023110.2), were identified in four of the five probands (Figures 1E and 1F). In IN_0039, the affected proband of a monozygotic twin pair discordant for ECCL, the p.Asn546Lys substitution was identified in fibroblasts cultured from biopsies of both unaffected skin (23% alternate allele fraction, AAF) and a scalp lesion (33% AAF), but was absent (0/76 reads at this position) from the unaffected twin’s blood. In individual LR13-278, the p.Asn546Lys substitution was identified in fibroblasts cultured from biopsies of unaffected skin (35% AAF), scalp nevus (42% AAF), and eyelid dermoid (54% AAF). In proband NIH_183, the p.Lys656Glu substitution was identified in fibroblasts cultured from a scalp lesion (45% AAF) but was not detected in blood. In proband LR12-068, the p.Lys656Glu substitution was identified in fibroblasts cultured from a scalp nevus (47% AAF), and from a pilocytic astrocytoma (32% AAF). In each case the FGFR1 variant detected by exome sequencing was confirmed by Sanger sequencing. Neither of these two variants was present in EVS, ExAC, or dbSNP. No rare non-synonymous variants were identified in FGFR1 in LR13-175. Coverage information for all eleven exome samples is included in Table S1. On the basis of finding four unrelated individuals with the same rare phenotype who shared one of two missense mutations in the same gene, we considered these variants in FGFR1 to be pathogenic and causative of ECCL.
ES identified an additional FGFR1 variant, c.1681G>A (p.Val561Met), in LR12-068, in 45/87 reads (45% AAF). This variant was present in the pilocytic astrocytoma but not in cultured skin fibroblasts (0/183 reads). Interestingly, this variant has been reported to confer resistance to lucitanib, a tyrosine kinase inhibitor (TKI) currently in phase II trials for FGFR-dependent tumors.14, 15 However, to mediate TKI resistance, the c.1681G>A (p.Val561Met) variant must be in cis with the primary FGFR1 activating mutation.14 We hypothesized that p.Val561Met was a second hit that arose during tumorigenesis in cis with this individual’s primary FGFR1 mutation, c.1966A>G (p.Lys656Glu). To test this, we subcloned DNA from the tumor sample. Briefly, a 1,408 basepair fragment containing both c.1681G>A and c.1966A>G was amplified from tumor DNA (primers listed in Table S3), subcloned into a plasmid (pCR2.1-TOPO, Life Technologies) using TOPO-TA cloning, and used to transform competent cells. Colonies containing the fragment were identified by PCR, expanded in liquid culture, and genotyped by Sanger sequencing. Of 20 clones isolated, 16 possessed neither variant, two possessed only the p.Lys656Glu variant, and two possessed both variants. These results suggest that the c.1681G>A (p.Val561Met) variant is in cis with the c.1966A>G (p.Lys656Glu) mutation, and possibly arose during tumorigenesis.
To facilitate the identification of mutations in FGFR1 in additional individuals suspected of having ECCL, we developed an approach using single molecule Molecular Inversion Probes (smMIPs) because low-frequency mosaic mutations could be missed using conventional Sanger sequencing. smMIPs are an inexpensive and highly sensitive next generation sequencing method that have been reported to detect alleles present as low as 0.1%,16 lower than the typical Sanger cutoff of 20%. smMIPs allows independent molecular capture events to be distinguished, so that smMIP coverage is reported as independent reads, each of which represents an individual capture event.16 Briefly, smMIPs were designed to capture all coding regions of FGFR1 plus at least ten bases of flanking sequence. A pool of 47 smMIPs (sequences in Table S4) was hybridized with 120 ng of DNA from each sample in the cohort. Each smMIP contained a 5 nucleotide degenerate “molecular tag” used to distinguish independent molecular capture events. Sample-specific eight-base barcodes were introduced in subsequent PCR amplification steps, and pooled libraries were sequenced using a 101 cycle paired end protocol on an Illumina MiSeq. Reads were aligned to the human assembly hg19 using BWA, and GATK was used to refine local alignments and call variants (SNVs and indels). Reads with the same molecular barcode were collapsed to form independent reads, and we required the presence of a variant in three or more independent reads. We used smMIPs to screen multiple tissues from two probands (LR13-278 and IN_0039, see Table S5) with mutations in FGFR1 detected by ES to determine the tissue distribution of the mutations. In LR13-278, the c.1638C>A (p.Asn546Lys) mutation was detected in DNA derived from fibroblasts (affected and unaffected skin), but was absent in blood- or saliva-derived DNA at a depth of 153 and 27 independent reads, respectively. This same mutation was detected in DNA derived from fibroblasts (affected skin) from individual IN_0039, but was absent in saliva, buccal swab, and blood-derived DNA, at depths of 114, 40, and 51 independent reads, respectively. At a depth of 27 independent reads, the smMIPs assay should be able to detect variants at a frequency as low as 11% (3/27). At a depth of 153 independent reads, the detection limit is as low as 2% (3/153). Because we were unable to detect FGFR1 mutations in blood, saliva, or buccal swab derived DNA in two individuals with known mutations present at high levels (31%–55% AAF, see Table S5) in biopsied tissues, we suspect that the tissue distribution of FGFR1 mutations in individuals with ECCL is skewed. Although it is possible that the FGFR1 mutations are present in blood, saliva, or buccal swab at levels below our detection limit, these results suggest that the negative predictive value of FGFR1 sequencing of these non-biopsied samples might be low for ECCL and that sequencing of skin-biopsy derived DNA will provide a higher diagnostic yield.
Using the same smMIP assay, we screened an independent cohort of four individuals with ECCL (LR14-261, LR04-090, LR09-120, and IN_0025, see Table S5) for whom tissue biopsy-derived DNA was available. We identified one additional individual (LR14-261) with the c.1636C>A (p.Asn546Lys) mutation in FGFR1, present at an allele fraction of 55% (110 of 199 independent reads) in DNA isolated from cultured fibroblasts from a scalp nevus, but was not detected in saliva (0/36 independent reads, see Table S5). Clinical details about this individual are listed in Table 1. No other FGFR1 mutations were identified within any samples from these four individuals in which tissue biopsy-derived DNA was available. An additional group of three individuals (LR04-093, LR09-252, and LR14-210) with ECCL were screened using the smMIP assay, but for these three individuals only blood or saliva derived DNA was available (see Table S5). No additional FGFR1 mutations were detected in this group, but since we did not have tissue biopsy-derived DNA available in this group, FGFR1 mutations cannot be excluded. Clinical phenotypes of the individuals in which an FGFR1 mutation was not detected were not different from those of individuals with an FGFR1 mutation (data not shown). The number of independent reads at each of the two FGFR1 mutation sites, for each tissue tested, is shown in Table S5.
Receptor tyrosine kinases (RTKs) regulate a wide range of complex biological functions including cell growth, differentiation, tissue patterning, and organogenesis.17, 18 Fibroblast growth factor receptors (FGFRs) represent an RTK subfamily comprising four homologous receptors encoded by four FGFR genes. The encoded proteins share a basic structure consisting of three extracellular ligand-binding immunoglobulin domains (IgI, IgII, IgIII) linked to a cytoplasmic protein kinase core (TK1 and TK2) via a single-pass transmembrane domain (TM) (Figures 1E and 2A).19 The two recurrent FGFR1 substitutions are located within the cytoplasmic kinase core (Figures 1E and 1F). FGFRs function by binding their respective ligands and heparan accessory molecules to induce dimerization and conformational changes.17, 20 Following ligand binding, trans-phosphorylation of the cytoplasmic domains between dimer pairs releases cis-autoinhibition and enables catalytic kinase activity.20, 21, 22 Phosphorylation of additional tyrosine sites in the kinase domain creates high affinity binding sites for proteins containing phosphotyrosine binding (PTB) domains and Src-homology 2 domains.21 Catalytically active receptors initiate intracellular signaling through several pathways, including the RAS-MAPK network (Figure 2A), resulting in phosphorylation of downstream targets such as ERK1, ERK2, and C-RAF (HUGO gene names are MAPK3, MAPK1, and RAF1, respectively).
To determine the effect of ECCL mutations on FGFR activity, we conducted Western blot analysis of whole cell extracts from several fibroblast lines derived from LR13-278, who harbors the p.Asn546Lys substitution. Using antibodies that detect phosphorylation of FGFR1-4 on Tyr653 and Tyr654 (pFGFR-Y653/Y654), we observed spontaneously elevated levels of phosphorylated FGFRs in exponentially growing fibroblasts derived from the skin, eyelid, and scalp of LR13-278, compared to wild-type (WT) cells (Figure 2B). We next examined signal transduction in these cells following prolonged serum deprivation, compared to exponentially growing cells. WT fibroblasts showed the expected reduction in phosphorylation of FGFR (Figure 2C) and ERK1/2 phosphorylation (pERK1/2-T202/Y204) upon serum starvation (Figure 2C). In contrast, fibroblasts from LR13-278 exhibited elevated phosphorylation of FGFR and ERK1/2 compared to WT in the presence or absence of serum (Figure 2C). Similar results were observed in fibroblasts derived from the thigh and scalp of IN_0039 (data not shown). Finally, we examined FGFR-dependent signal transduction in LR13-278 fibroblasts in response to acute treatment with recombinant basic fibroblast growth factor (bFGF) following prolonged serum deprivation. WT fibroblasts treated with bFGF showed elevated levels of phosphorylated ERK1/2 and C-RAF, another RAS-pathway effector (Figure 2D). In contrast, fibroblasts from LR13-278 showed elevated levels of phosphorylated ERK1/2 and C-RAF even in the absence of bFGF stimulation (Figure 2D), suggesting ligand-independent activation of FGFR signaling. Because phosphorylated ERK1/2 and C-RAF can reflect increased activity of a variety of RTKs, we also examined FRS2, whose activating phosphorylation is mainly FGFR-dependent.23 Similar to ERK1/2 and C-RAF, phosphorylated FRS2 is increased by bFGF stimulation in WT fibroblasts, but in LR13-278 elevated levels of phosphorylated FRS2 are present even in the absence of bFGF stimulation (Figure 2D). Collectively, these results demonstrate elevated autophosphorylation of FGFRs, the FGFR-dependent substrate FRS2, and the RAS-pathway components C-RAF and ERK1/2, in multiple proband-derived fibroblasts with the p.Asn546Lys substitution (Figures 2B–2D and data not shown). A proband-derived fibroblast line harboring the p.Lys656Glu substitution was unavailable for this study.
We have shown that mosaic, activating substitutions at two residues (p.Asn546Lys and p.Lys656Glu) in the cytoplasmic tyrosine kinase domain of FGFR1 cause ECCL. The involvement of FGFRs in human disease is well documented.24, 25 Germline gain-of-function mutations in FGFRs cause craniosynostosis (FGFR1-3)26, 27, 28, 29, 30, 31 and skeletal dysplasia (FGFR1 and 3),32, 33, 34 while loss-of-function mutations cause hypogonadotrophic hypogonadism (FGFR1, [MIM 615465]) and Hartsfield syndrome (FGFR1, [MIM 615465]).35, 36 Lacrimoauriculodentodigital syndrome [MIM 149730] is caused by mutations in FGFR2, FGFR3, and FGF10,37 and somatic activating mutations in FGFR3 are present in some epidermal nevi.38 Both activating mutations and whole gene amplification of FGFR1 contribute to the pathogenesis of cancer.24, 39 Although activating mutations in the tyrosine kinase domain of FGFR2 and FGFR3 have been reported,25 this is the first report, to our knowledge, of activating mutations in this domain in FGFR1 associated with a developmental disorder.
Strikingly, the mutations identified in this study in FGFR1 are paralogous to mutations in FGFR2 and FGFR3 that cause craniosynostosis and skeletal dysplasia (Figure 1F).17, 25 The p.Lys650Glu substitution in FGFR3 causes thanatophoric dysplasia II (MIM 187601), and is paralogous to the ECCL-associated p.Lys656Glu substitution in FGFR1.34 The p.Asn540Lys substitution in FGFR3, paralogous to p.Asn546Lys in FGFR1, is the most common cause of hypochondroplasia (MIM 1460000).40 Similarly, paralogous substitutions of Asn549 and Lys659 in FGFR2 have been reported in individuals with syndromic craniosynostosis.41 The identification, in individuals with ECCL, of amino acid substitutions in FGFR1 that are identical to substitutions in other FGF receptors provides additional support for the pathogenicity of these variants, and highlights the distinct roles FGFR1, 2, and 3 signaling during human development.
The findings presented here highlight an emerging link between recurrent somatic activating mutations in tumors and mosaic developmental disorders that frequently have an increased risk of cancer.42 ECCL represents the first known example of a developmental disorder in the FGFR family with an increased risk for cancer, specifically low-grade gliomas.8, 9, 10, 11, 12 RTKs are one of the most commonly mutated gene families in cancer and their contribution to tumorigenesis is widely recognized.43 Not surprisingly, both the c.1638C>A (p.Asn546Lys) and c.1966A>G (p.Lys656Glu) mutations in FGFR1 are known oncogenic mutations,44, 45, 46, 47 and are the two most commonly mutated residues among FGFR1 mutation-containing tumors in the COSMIC (Catalogue of Somatic Mutations in Cancer) database.48 Interestingly, most of the tumors associated with substitutions in these two residues are central nervous system gliomas, including pilocytic astrocytomas,48, 49 the same type of tumor seen at increased frequency in individuals with ECCL. In the pilocytic astrocytoma sample from LR12-068, ES identified a second missense substitution, p.Val561Met, also in the tyrosine kinase domain and in cis with the p.Lys656Glu substitution. Previous studies have shown that p.Val561Met confers a 38-fold increase in phosphorylation of the FGFR1 receptor, as well as resistance to lucitanib, an FGFR inhibitor currently in phase II clinical trials for FGFR-dependent tumors.14, 15 Whether the p.Val561Met substitution actively contributes to tumorigenesis remains to be elucidated. In individuals with ECCL who develop low-grade gliomas, knowledge of causative FGFR1 mutations could lead to informed treatment choices with targeted RTK inhibitors and improved clinical management.
The RAS-MAPK pathway regulates crucial cellular processes including DNA synthesis, cell growth, and differentiation. Mutations in components of this pathway cause a variety of developmental syndromes.50 Oculoectodermal syndrome (OES; [MIM 600268]) is characterized by congenital abnormalities of the scalp (cutis aplasia and focal alopecia) and eyes (eyelid skin tags and epibulbar dermoids), features that are also seen in ECCL.51 OES has been proposed to be a milder form of ECCL, which is distinguished from OES by the presence of CNS lipomas.51 Notably, somatic mutations in KRAS have recently been associated with OES.52 Considering the striking phenotypic overlap between ECCL and OES, hyperactive RAS-MAPK signaling might represent a common mechanism underlying these two disorders. The absence of CNS lipomas in OES could be due to the relatively small number of individuals with OES who have had brain imaging, or could reflect the tissue distribution of these somatic mutations. Specific differences in pathway activation due to mutations in KRAS versus FGFR1 might also play a role. Sequencing of KRAS in individuals with ECCL, and FGFR1 in individuals with OES, will be helpful in addressing this question.
In summary, we identified two recurrent mutations in FGFR1 in individuals with ECCL, a rare neurocutaneous disorder. We developed a smMIP assay to facilitate screening of individuals with suspected ECCL and showed that DNA derived from fibroblasts provides the highest yield for identification of mutations in FGFR1. We identified a total of five FGFR1 individuals with FGFR1 mutations within our cohort of nine individuals for whom biopsy-derived fibroblast DNA was available. We did not detect any mutations among three individuals for whom only blood- or saliva-derived DNA was available, but this does not rule out the possibility of an FGFR1 mutation in other tissues. Potential explanations for the individuals in the cohort for whom an FGFR1 mutation was not detected include (1) mutations present at a level below the limit of detection of our smMIP assay, (2) underlying locus heterogeneity, and (3) absence of available biopsy-derived DNA for testing. With the exception of the brain tumor from individual LR12-068, all of the samples that possessed an FGFR1 mutation were from cultured fibroblasts, so that the mutation levels detected might reflect selection for activating FGFR1 mutations in cell culture. This might explain why the level of mutation in DNA derived from individual LR12-068’s brain tumor (32%) is lower than that of his scalp nevus (47%). Sequencing of DNA from uncultured tissue samples from individuals with ECCL will help address this issue. The phenotypes of the individuals without detectable FGFR1 mutations do not differ significantly from the individuals with FGFR1 mutations (data not shown). Given the phenotypic similarities between OES and ECCL, screening these individuals for KRAS mutations is a logical next step. Our functional analysis of fibroblast cell lines harboring the p.Asn546Lys substitution showed hyperphosphorylation of FGFRs and downstream dependent substrates, consistent with elevated activation of the receptor. Interestingly, elevated FGFR1 signaling is implicated in both proliferation of human mesenchymal stem cells and human preadipocytes and might explain the striking nevus psiloliparus seen in individuals with ECCL.53, 54 We do not currently understand how activating mutations in a single gene can cause ECCL, craniosynostosis, and skeletal dysplasias. It seems likely that the developmental timing and tissue specific location of the post-zygotic FGFR1 mutation might play an important role. Clearly different activating mutations in FGFR1 can lead to distinct phenotypes, and further studies are needed to understand the pleiotropic effects of gain-of-function mutations in FGFR1. Finally this work adds another gene to the growing number of disorders due to mosaic mutations impacting the RAS-MAPK pathway and further supports the emerging overlap between mosaic developmental disorders and tumorigenesis.
Acknowledgments
We are grateful to the individuals and families who participated in this study. Research reported in this publication was supported by the Care4Rare Canada Consortium (Enhanced Care for Rare Genetic Diseases in Canada) funded by Genome Canada, the Canadian Institutes of Health Research, the Ontario Genomics Institute, Ontario Research Fund, Genome Quebec, and Children’s Hospital of Eastern Ontario Foundation; and by the National Institute of Neurological Disorders and Stroke (NINDS) under award numbers 1R01NS092772 (W.B.D.) and the National Human Genome Research Institute of the National Institutes of Health. Some sequencing in this study was provided by the University of Washington Center for Mendelian Genomics (UW-CMG) and was funded by the National Human Genome Research Institute and the National Heart, Lung and Blood Institute grant U54HG006493 to Drs. Debbie Nickerson, Jay Shendure, and Michael Bamshad. M.J.L. and L.G.B. are supported by the Intramural Research Program of the National Human Genome Research Institute. We also acknowledge the contributions of the high-throughput sequencing platform of the McGill University and Genome Quebec Innovation Centre, Montreal, Canada. M.T. received a post-doctoral fellowship from the Reseau de Medecine Genique Appliquee. L.M.M. is supported by a scholarship from the (CIHR) and Consortium National de Formation en Santé. T.Y.T. was supported by an Australian National Health and Medical Research Council Postdoctoral Overseas Training Scholarship (#607431). D.A. and M.O’D. are supported by Cancer Research UK. None of the authors have any conflicts of interest to declare.
Published: March 3, 2016
Footnotes
Supplemental Data include five tables and can be found with this article online at http://dx.doi.org/10.1016/j.ajhg.2016.02.006.
Contributor Information
Mark O’Driscoll, Email: m.o-driscoll@sussex.ac.uk.
Ute Moog, Email: ute.moog@med.uni-heidelberg.de.
Web Resources
The URLs for data presented here are as follows:
COSMIC, http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/
ExAC Browser, http://exac.broadinstitute.org/
Mutalyzer, https://mutalyzer.nl/index
NHLBI Exome Sequencing Project (ESP) Exome Variant Server, http://evs.gs.washington.edu/EVS/
OMIM, http://www.omim.org/
SeattleSeq Annotation 137, http://snp.gs.washington.edu/SeattleSeqAnnotation137/
UCSC Genome Browser, http://genome.ucsc.edu
FGFR1: NM_023110.2
Supplemental Data
References
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