Considering that mutations in known prostate cancer (PrCa) predisposition genes, including those responsible for hereditary breast/ovarian cancer and Lynch syndromes, explain less than 5% of early-onset/familial PrCa, we have sequenced 94 genes associated with cancer predisposition using next generation sequencing (NGS) in a series of 121 PrCa patients. We found monoallelic truncating/functionally deleterious mutations in seven genes, including ATM and CHEK2, which have previously been associated with PrCa predisposition, and five new candidate PrCa associated genes involved in cancer predisposing recessive disorders, namely RAD51C, FANCD2, FANCI, CEP57 and RECQL4. Furthermore, using in silico pathogenicity prediction of missense variants among 18 genes associated with breast/ovarian cancer and/or Lynch syndrome, followed by KASP genotyping in 710 healthy controls, we identified “likely pathogenic” missense variants in ATM, BRIP1, CHEK2 and TP53. In conclusion, this study has identified putative PrCa predisposing germline mutations in 14.9% of early-onset/familial PrCa patients. Further data will be necessary to confirm the genetic heterogeneity of inherited PrCa predisposition hinted in this study.
Prostate cancer (PrCa) is the most frequent cancer diagnosed in men worldwide, estimated to be responsible for the death of 27,540 men in the United States in 2015. Contrarily to other cancer types, the genetic contribution to the 10–20% of PrCa cases occurring in families with aggregation of the disease is largely unknown. Germline mutations in the BRCA2 and the MSH2 breast and colon cancer predisposing genes, respectively, explain only about 1.5% of our early-onset/familial PrCa cases. Taking advantage of recent deep sequencing technologies and an analysis pipeline established in our group, we have screened 121 PrCa patients with strong evidence of an hereditary component for mutations in 94 genes involved in several cancer predisposing syndromes. We found truncating/functionally deleterious mutations in seven genes and “likely pathogenic” missense variants in four genes, of which five and one, respectively, have not been previously associated with PrCa predisposition. We believe this study significantly contributes to the understanding of the genetic heterogeneity behind early-onset/familial PrCa.
Citation: Paulo P, Maia S, Pinto C, Pinto P, Monteiro A, Peixoto A, et al. (2018) Targeted next generation sequencing identifies functionally deleterious germline mutations in novel genes in early-onset/familial prostate cancer. PLoS Genet 14(4): e1007355. https://doi.org/10.1371/journal.pgen.1007355
Editor: Charis Eng, Cleveland Clinic Genomic Medicine Institute, UNITED STATES
Received: March 15, 2017; Accepted: April 5, 2018; Published: April 16, 2018
Copyright: © 2018 Paulo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: We thank the funding support from Portuguese Oncology Institute of Porto Research Center (CI-IPOP-16-2012) and from Fundação para a Ciência e a Tecnologia (FCT; PEst-OE/SAU/UI0776/2014 and PTDC/DTP-PIC/1308/2014). The following authors were awarded with grants from FCT: PPa (UID/DTP/00776/2013/POCI-01-0145-FEDER-006868), SM (SFRH/BD/71397/2010) and PPi (SFRH/BD/73719/2010). AM was funded by Portuguese League Against Cancer (Liga Portuguesa Contra o Cancro - Núcleo Regional do Norte). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Prostate cancer (PrCa) is the most frequent non-cutaneous cancer diagnosed in men worldwide and the third leading cause of male cancer deaths in Europe . Despite efforts in early detection and screening strategies , PrCa is estimated to be responsible for the death of 27,540 men in the United States in 2015 . Contrarily to other cancer types, very little is known about the genetic contribution to the 10–20% of PrCa cases with evidence of familial clustering . In fact, besides age and race, family history is the only other well-established risk factor for PrCa . While familial PrCa is defined by an aggregation of PrCa in families, hereditary prostate cancer (HPC) is characterized by a pattern of Mendelian inheritance associated with rare mutations in susceptibility genes [3,5]. First-degree relatives of a PrCa patient have a two-fold increased risk of developing the disease compared to the general population. The risk is even higher when the number of affected relatives increases and the age at diagnosis decreases [3,5,6]. The existence of a genetic component behind PrCa development is strengthened by the four-fold higher concordance rate of PrCa among monozygotic twins compared to dizygotic twins [7,8].
Linkage analysis and genome-wide association studies have pinpointed some loci associated with PrCa predisposition, but the majority has not been consistently reproduced . In 2004, a combined genome-wide linkage analysis of 426 families from four HPC studies identified a locus at 17q21-22 strongly associated with PrCa . Despite previous reports linking mutations in BRCA1 (at 17q22) with PrCa predisposition [11,12], Ewing et al. later identified a rare but recurrent mutation (G84E) in the HOXB13 gene (at 17q21) in up to 3% of the patients with both early-onset and family history of the disease, using a next-generation sequencing (NGS) approach covering the 202 genes present in the defined region of interest (ROI) at the 17q21-22 locus . An increased risk of PrCa for the HOXB13 G84E mutation carriers has been confirmed by several groups [14,15] and other HOXB13 variants associated with PrCa have been found in other populations [16,17]. Besides HOXB13, BRCA2 mutation carriers are also at increased risk of developing PrCa [18–20]. Overall, BRCA2 mutations seem to explain about 2% of early-onset PrCa cases , a frequency that can be slightly higher for BRCA2 mutations with a founder effect in specific populations [21,22]. Additionally, a higher risk for PrCa in Lynch syndrome families has been proposed [23,24], with some studies reporting a five- to ten-fold increased risk of PrCa development for carriers of MSH2 mutations compared to non-carriers [25,26]. However, recent studies of our group found germline mutations in HOXB13, BRCA2 and MSH2 in only 1.5% of early-onset and/or familial PrCa cases [17,27].
Mutations in a few additional genes or specific variants, namely in CHEK2 [28–31], NBN [32,33], ATM [34,35], and BRIP1 , have been reported to increase the risk of PrCa, although some in a population-specific context. Despite these reports, the large majority of prostate carcinomas showing Mendelian inheritance still have no explanation concerning highly penetrant susceptibility variants. In this work, we aimed to evaluate the proportion of cases with early-onset and/or familial/hereditary PrCa that can be attributed to mutations in 94 genes associated with inherited cancer predisposition, using our validated targeted next generation sequencing (NGS) pipeline . This approach allowed to identify functionally deleterious/“potentially pathogenic” mutations in nine genes, revealing six genes (CEP57, FANCD2, FANCI, RAD51C, RECQL4 and TP53) not previously associated with PrCa predisposition. Overall, a candidate disease-causing mutation in a cancer predisposing gene was identified in 18 patients (14.9%), with ATM and CHEK2 representing 61.1% of the cases.
Truncating/Deleterious mutations in known PrCa risk genes
Of the genes previously reported to increase the risk for PrCa development (after excluding cases with known mutations in HOXB13, BRCA2 and MSH2 in this series), we found a nonsense mutation in ATM and a splicing mutation in CHEK2 (Table 1). The ATM mutation c.652C>T, which leads to a premature stop codon at codon 218, was found in a patient (HPC177) with five brothers diagnosed with PrCa (Fig 1A), including twin brothers diagnosed before the age of 61 years, thus fulfilling the A1 and A2 criteria (see Material and Methods section for criteria description). The family is living abroad, which renders segregation analysis difficult to perform. The CHEK2 mutation c.593-1G>T, predicted to affect the splice site by three of the four queried in silico predictors (S1 Table) and reported as “likely pathogenic” in ClinVar, was found in a patient (HPC395) with a family history of three breast cancer (BrCa) cases, two of them diagnosed at early age (Fig 1B), thus fulfilling the B3 criterion. One of the nices with BrCa is carrier of the CHEK2 mutation c.593-1G>T.
(A) Patient HPC177 harboring the ATM stop mutation c.652C>T. (B) Patient HPC395 harboring the CHEK2 splicing mutation c.593-1G>T. Electropherograms of the Sanger sequencing validations are shown.
To strengthen the causality between these mutations and cancer development, we used KASP genotyping in 710 healthy controls and searched for the variant among 504 samples from non-prostate cancer cases analyzed with the same NGS panel and pipeline in the Department of Genetics of IPO Porto. Among the 504 cancer cases, the same ATM stop mutation was found in a patient diagnosed with bilateral BrCa at early age (previously described ) and the same CHEK2 splicing mutation was found in an early-onset breast and colon cancer patient. No carriers were found either among our 710 healthy controls or in ExAC, for both mutations.
Truncating/Functionally deleterious mutations in new candidate PrCa risk genes
Mutations in Fanconi anemia genes.
Fanconi anemia (FA) is a recessive disorder caused by biallelic mutations in one of the (so far) nineteen FANC genes [39,40], of which only two (RAD51 and UBE2T) are not covered by the TruSight Cancer panel. Along with BRCA1 (FANCS) and BRCA2 (FANCD1), involved in hereditary breast/ovarian cancer (HBOC) syndrome, three other members of the FANC family have been associated with an increased risk of development of BrCa and/or ovarian cancer (OvCa), namely BRIP1 (FANCJ), PALB2 (FANCN) and RAD51C (FANCO) [41–44]. We found a frameshift mutation in RAD51C and deleterious mutations, one splicing and one frameshift, in two FANC members not previously associated with cancer risk, FANCD2 and FANCI, respectively (Table 1). In the ExAC database, the FANCD2 splicing mutation is reported in a single case of Latin origin, whereas the other mutations were not found in ExAC or any of the other queried databases.
The RAD51C frameshift mutation c.890_899del is expected to result in a premature stop codon, and, consequently, in the loss of 80 amino acids at the protein C-terminal (predicted by MutationTaster), including the nuclear localization motif (Uniprot database). This mutation was found in a patient (HPC186) also diagnosed with bladder cancer (B2 criterion) and with a family history of early-onset cancer in several relatives (B1 criterion) (Fig 2A).
(A) Patient HPC186 harboring the RAD51C frameshift mutation c.890_899del. (B) Patient HPC447 harboring the FANCD2 splicing mutation c.2494+2T>C. (C) Patient HPC150 harboring the FANCI frameshift mutation c.206del. Electropherograms of the Sanger sequencing validations are shown.
The FANCD2 splicing mutation c.2494+2T>C is predicted to affect the splice site by three of the four queried in silico analysis tools (S1 Table). The patient harboring this mutation (HPC447) has a family history of five first- or second-degree relatives with cancer, fulfilling the B3 criterion for the bilateral BrCa in the mother and the early-onset abdominal cancer in the maternal aunt (Fig 2B).
The FANCI frameshift mutation c.206del is predicted to lead to a premature stop codon at codon 85 by MutationTaster, with the derived transcript probably being targeted to nonsense-mediated decay (NMD). The carrier patient (HPC150) has a family history of PrCa, fulfilling the A2 criterion (Fig 2C).
The screening for these mutations in the 710 healthy controls and in the 504 non-prostate cancer cases, as described above, showed absence of the mutations in the control samples and association of the RAD51C mutation c.890_899del with non-prostate cancer development in two patients and of the FANCD2 mutation c.2494+2T>C in one. No other patients were found to carry the FANCI mutation c.206del.
Mutations in other genes involved in recessive disorders.
We found a nonsense mutation (c.791C>G) in CEP57, a gene involved in the mosaic variegated aneuploidy syndrome 2 (MVA2; OMIM #614114), in patient HPC421. This mutation is expected to encode a C-terminal truncated protein at the residue 264. According to the Uniprot database, this codon is located upstream of the known functional domains of the centrosomal protein of 57kDa encoded by this gene, which are expected to be lost with the mutation if the mRNA escapes NMD, as predicted by MutationTaster. The patient harboring this mutation was diagnosed with PrCa four years after the diagnosis of an urothelial cancer, thus fulfilling the B2 criterion (Fig 3A).
(A) Patient HPC421 harboring the CEP57 nonsense mutation c.791C>G. (B) Patient HPC455 harboring the RECQL4 frameshift mutation c.2636del. Electropherograms of the Sanger sequencing validations are shown.
Additionally, we found a frameshift mutation in RECQL4, a gene involved in three recessive syndromes with overlapping features, the Rothmund-Thomson syndrome (RTS; OMIM #268400), the Baller-Gerold syndrome (BGS; OMIM #218600), and the RAPADILINO syndrome (OMIM #266280). The RECQL4 frameshift mutation c.2636del was found in patient HPC455, who has also multiple myeloma (B2 criterion) (Fig 3B). MutationTaster is not able to compute predictions for RECQL4 mutations due to the lack of a reliable protein-coding transcript. In the Uniprot database, the described functional domains of the ATP-dependent helicase encoded by this gene are upstream of the c.2636del mutation.
The CEP57 nonsense mutation c.791C>G is only described in one case in the Exome Variant Server (rs368470481), whereas the RECQL4 frameshift mutation c.2636del is not described in any of the queried databases. None of these mutations was found either among our 710 healthy controls or among the 504 non-prostate cancer cases screened as described above.
“Likely/potentially pathogenic” variants in genes predisposing to breast/ovarian cancer and/or Lynch syndrome
Considering that most of the genes so far associated with an increased risk for PrCa development have previously been described to predispose to breast/ovarian cancer and/or Lynch syndrome, we looked for missense variants in the 18 genes associated with these diseases, namely ATM, BLM, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MLH1, MSH2, MSH6, NBN, PALB2, PMS2, PTEN, RAD51C, RAD51D, STK11, and TP53. Missense variants predicted to be pathogenic by at least 12 of the 15 in silico pathogenicity predictors (including at least three conservation tools) were considered “potentially pathogenic”. Of the 42 missense variants found (S2 Table ), ten variants fulfill these criteria (Table 2) and include four variants in ATM, two in CHEK2, and one in each of the genes BRIP1, MSH2, MSH6 and TP53. The CHEK2 missense mutation c.349A>G, found in two patients (HPC188 and HPC289), was the only mutation classified as “pathogenic/likely pathogenic” in ClinVar. Patient HPC188 has family history of PrCa, with three first- and second-degree relatives diagnosed at or before the age of 65 years (one early-onset), thus fulfilling the A1 and A2 criteria (S1A Fig). Patient HPC289 is an early-onset PrCa case, fulfilling the B1 and B3 criteria for having a heavy family history of cancer, with several cases diagnosed at early age (S1B Fig). Both MSH2 and MSH6 variants are reported in public databases and classified as variants of unknown significance (VUS) in ClinVar. As mutations in Lynch syndrome predisposing genes are usually associated with loss of protein expression in the tumor, we performed immunohistochemistry for the MSH2 and MSH6 proteins in the prostate tumors of the patients HPC371 and HPC332, respectively, and no loss of expression was found, rendering the MSH2 and MSH6 mutations as probably not associated with PrCa development in these patients. Apart from the CHEK2 missense mutation c.349A>G, the remaining missense variants here identified were either not described in the literature or classified as VUS. To increase our understanding on the pathogenic potential of these variants, we screened our 710 healthy controls and the 504 non-prostate cancer samples as described above. For the ATM mutations c.995A>G and c.8560C>T and for the TP53 mutation c.839G>A, no additional carriers were found. The BRIP1 mutation c.847T>C and the CHEK2 mutation c.695G>T were found in one of the 504 cancer cases (each) and the ATM mutations c.1595G>A and c.5750G>A were found in two cases (each) of the 710 healthy controls and in six and three cases, respectively, of the 504 cancer cases. Of all these variants, only the ATM mutation c.8560C>T was found significantly increased in our PrCa patients comparing with our healthy controls (P = 0.024; S3 Table), with the CHEK2 mutation c.349A>G reaching borderline significance (P = 0.057). With the exception of the TP53 mutation c.839G>A, not found in any of the 504 non-prostate cancer patients, all missense mutations have no significant frequency differences in cancer patients fulfilling criteria for other hereditary cancer syndromes (P>0.05; S3 Table). When comparing the frequencies obtained in our PrCa patients with those of the Non-Finnish Europeans (NFE) described in ExAC, highly significant associations are obtained for all the ATM and CHEK2 missense mutations (S3 Table). Following the guidelines from the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG-AMP) for variant interpretation and classification  using InterVar , all the missense variants here identified in ATM, CHEK2, BRIP1 and TP53 are classified as VUS. Adding the PS3 criterion (“well-established in vitro or in vivo functional studies supportive of a damaging effect on the gene or gene product”) to the classification of the CHEK2 variant c.349A>G [48,49] and the PS4 criterion (“the prevalence of the variant in affected individuals is significantly increased compared with the prevalence in controls”) to the classification of the ATM variant c.8560C>T, supports the “likely pathogenic” nature of these variants in PrCa development.
Clinicopathological associations of mutation carriers
Of the 121 cases enrolled in this study, 45 have criteria to be classified as familial/hereditary PrCa (A group) and 86 are cases of early-onset PrCa and/or PrCa associated with clustering of other cancers in the family (group B), with ten cases fulfilling both A and B criteria (S4 Table). Regarding age at diagnosis, 64 cases (52.9%) were diagnosed with PrCa at or before the age of 55 years, thus being considered early-onset PrCa cases. Considering the number of cases with prostate carcinomas in the 121 families, 91 cases (75.2%) have family history of two or more relatives with PrCa, with 27 cases (22.3%) having three and 33 cases (27.3%) having at least four.
When comparing clinicopathological characteristics of the patients harboring the deleterious/”potentially pathogenic” mutations (n = 18; excluding the cases with the MSH2 and MSH6 VUS, described above) with the “negative” group (n = 103), no statistically significant associations were observed, either considering all cases or considering the subgroups of cases with familial/hereditary PrCa or early-onset PrCa (S5 Table).
Consistent with the increasing chance of incidental findings of the NGS approaches, we found a c.3846_3860del in-frame deletion in MSH6 that falls into this classification. This mutation was found in the patient carrying also the truncating mutation in RAD51C (HPC186) and is classified as pathogenic in two of the Lynch syndrome families diagnosed at IPO Porto. However, we find unlikely its association with the PrCa in this patient, as no loss of MSH6 expression was observed in the tumor (contrarily to what we observed in the colon carcinomas of our Lynch syndrome families). Analyses in the available relatives showed segregation of the variant in the niece with colon cancer (S2 Fig).
In this work we used a NGS approach targeting the full coding-sequence of 94 genes associated with cancer predisposition to identify germline mutations in a selected series of 121 PrCa patients with early-onset disease and/or criteria for familial/hereditary PrCa, alone or associated with other cancers. This strategy is justifiable by the fact that, with the exception of HOXB13, all the genes so far associated with PrCa hereditary predisposition were previously associated with an increased risk for BrCa, OvCa or other cancers, including those causing the phenotypically heterogeneous diseases hereditary breast/ovarian cancer (HBOC) and Lynch syndrome [20,24,27,50]. Using our previously established NGS analysis pipeline , and after excluding the few cases in our series with germline mutations in HOXB13 or in genes associated with HBOC or Lynch syndrome [17,27], we found monoallelic truncating/deleterious mutations in seven genes, of which only ATM and CHEK2 have been previously implicated in PrCa development [28–31,34,35,43]. Deleterious mutations in ATM and CHEK2 thus represent 0.8% (each) of the cases enrolled in this study, with the nonsense ATM mutation representing 2.2% of the cases fulfilling criteria for familial/hereditary PrCa (A group), which resembles the frequency of mutations found in BRCA2 in earlier studies [27,35]. Curiously, both mutations occur in families with several BrCa cases and were both found in one case (each) of the 504 non-prostate cancer cases analyzed with the same NGS approach in the Department of Genetics for fulfilling criteria for HBOC.
We found monoallelic functionally deleterious mutations in three genes of the FA family, namely RAD51C (FANCO), FANCD2 and FANCI genes, the latter two not previously associated with cancer risk. RAD51C, a RAD51 paralog involved in the homologous recombination (HR) repair pathway , was first described as a susceptibility gene for BrCa and OvCa, showing complete segregation in six families . Nowadays, RAD51C deleterious mutations are established as a risk factor for OvCa only, with a prevalence of about 0.8% in familial OvCa and 0.4–1.1% in OvCa cases unselected for family history . The family history of the patient harboring the c.890_899del mutation in RAD51C has no confirmed ovarian cancer diagnosis, but includes a relative with gynecological cancer deceased at young age. FANCD2 and FANCI are involved in the initial steps of the FA pathway, leading to the activation of downstream repair factors, such as FANCD1 (BRCA2), FANCJ (BRIP1), FANCN (PALB2) and FANCO (RAD51C), to mediate HR . Considering that mutations in all these four FA members have been associated with risk for BrCa and/or OvCa [41,43,44], with mutations in BRIP1 and BRCA2 also associated with PrCa development [19,20,36], our report of mutations in RAD51C, FANCD2 and FANCI may increase to five the list of FA members involved in PrCa predisposition. In our series, functionally deleterious mutations in FA genes represent 4.4% (2/45) of the familial/hereditary PrCa cases (A criteria) and 1.6% (1/64) of the early-onset PrCa cases. Among the 504 non-prostate cancer cases diagnosed at our institution with the same NGS approach, three carriers of the same mutations were found, one with the FANCD2 mutation and two with the RAD51C mutation, with different cancers occurring in the families. Further studies are required to determine the frequency of germline mutations in these genes in PrCa and other hormone-related cancers, as the pedigrees of both case HPC186 and case HPC447, with the RAD51C and the FANCD2 functionally deleterious mutations, respectively, include relatives affected with BrCa and/or gynecological cancers.
To our knowledge, this is also the first report of heterozygous germline truncating mutations in CEP57 and RECQL4 as possible cancer risk factors. CEP57 encodes a 57 kDa member of the CEP family of centrosomal proteins involved in MVA2, a rare pediatric syndrome with high risk of development of childhood cancers [53,54]. On the other hand, RECQL4 belongs to a family of five RecQ helicases [RECQL1, WRN (RECQL2), BLM (RECQL3), RECQL4 and RECQL5] . Interestingly, monoallelic mutations in RECQL1 and in the Bloom syndrome gene BLM have been described as risk factors for BrCa [56,57], although the BLM association has been contested by others [58,59]. According to the Uniprot database, the RECQL4 frameshift mutation c.2636del we here describe is not expected to affect the known functional domains of the protein, but more downstream (C-terminal) mutations in RECQL4 have been shown to cause RTS or GBS  and the C-terminal seems to be necessary for RECQL4 nucleolar localization through interaction with PARP-1 , therefore making very likely its deleterious nature. Additionally, the absence of both mutations in public databases, namely ExAC, and in the 504 non-prostate cancer cases analyzed in our institution with the same NGS approach, may reflect their PrCa specificity.
In addition to the seven cases with truncating/deleterious mutations, we found “likely/potentially pathogenic” missense mutations in 11 PrCa families. Taking into account the diversity and general high concordance of the in silico tools that were considered for the prediction of variant pathogenicity (S2 Table), along with the low frequency found among the 710 healthy control cases screened (S3 Table) and with the fact that other missense mutations in ATM, CHEK2 and TP53 have been linked with cancer development [61,62], it is plausible that the variants in ATM, BRIP1, CHEK2 and TP53 here identified may explain PrCa susceptibility in the families carrying them. The pathogenic nature of the CHEK2 mutation c.349A>G found in two cases, was suggested in several studies, showing loss of DNA damage response and impaired activation due to lack of phosphorylation [48,49]. Furthermore, this CHEK2 variant has been found in three of 694 BRCA1/BRCA2-negative BrCa families, two from the United Kingdom and one from the Netherlands, being described as a moderate to low penetrance variant . On the other hand, in a large case-control study gathering data from three consortia participating in the Collaborative Oncological Gene-environment Study (COGS), the CHEK2 variant c.349A>G was associated with increased BrCa risk (odds-ratio 2.26), but not with an increased risk for PrCa or OvCa . Segregation analysis and/or phenotypic evaluation in vitro would be useful to complement the available information concerning the pathogenicity of this and the remaining missense variants here identified. For the variants found significantly associated (or showing borderline significance) with PrCa development, namely the ATM variant c.8560C>T and the CHEK2 variant c.349A>G, larger cohorts of familial/early-onset PrCa cases would be useful to define cancer risk estimates and the age-standardized PrCa risk attributed to these variants.
Looking at the overlap between the patients harboring truncating/functionally deleterious mutations and those harboring “likely/potentially pathogenic” missense variants, the ATM variant c.8560C>T, found in three patients (HPC3, HPC186 and HPC332), is the only variant overlapping with other mutations, namely in patient HPC186, who carries the RAD51C frameshift mutation, and in patient HPC332, who carries the MSH6 c.1729C>T variant. Immunohistochemistry analysis for MSH6 in the tumor of patient HPC332 showed normal MSH6 expression, thus reducing the likelihood that the MSH6 c.1729C>T variant is a PrCa risk factor and rendering the ATM mutation c.8560C>T the most likely risk variant in this patient. Excluding the case HPC186 (with co-occurrence of the RAD51C frameshift mutation), ATM represents the most commonly mutated gene in our series, eventually explaining increased risk of PrCa in seven cases (~5.8%), with CHEK2 being the second most frequently mutated gene (four cases, ~3.3%).
Overall, functionally deleterious/“likely/potentially pathogenic” variants were found in 18 patients (excluding the two families with missense mutations in MSH2 and MSH6). Of these, eight patients (44.4%) fulfill the A criteria and 12 (66.7%) fulfill the B criteria (two cases complying with both), representing 17.8% and 13.9% of the samples enrolled in each group. Seven of the 18 cases (38.9%) were diagnosed at early age, representing 10.9% of the patients in the early-onset group. Comparing clinicopathological data from patients harboring these variants with the group of patients without an identified “potentially pathogenic” mutation, no statistically significant associations were found.
In the context of this study, we identified one truncating variant in a gene that is included in the list of incidental findings recommended for return to patients after clinical sequencing by the guidelines of the American College of Medical Genetics and Genomics . The previously unreported MSH6 in-frame mutation c.3846_3860del predisposes to Lynch syndrome (OMIM #120435), as it has been classified as pathogenic in two Lynch syndrome families in our institution, with evidence that included demonstration of loss of expression restricted to MSH6 in the colorectal tumors of carriers, a pattern also observed in the colon cancer of a relative of this patient who is also carrier of this in-frame MSH6 variant. On the other hand, as no loss of MSH6 expression was observed in the prostate tumor, this MSH6 variant is unlikely to explain the PrCa predisposition in this family, which is most likely related to the RAD51C truncation mutation or the ATM missense mutation also found in this patient. Even though targeted sequencing was performed under a research protocol and not as part of clinical sequencing, this incidental finding was reported to the patient during genetic counseling, as recommended by the guidelines of the American College of Medical Genetics and Genomics, and appropriate follow-up is being offered to the family as judged clinically appropriate.
In conclusion, we found functionally deleterious/“likely/potentially pathogenic” germline mutations in 18 of the 121 (14.9%) familial/hereditary and/or early-onset PrCa cases selected for this study. To our knowledge, this study is the first to report functionally deleterious germline mutations in the three FA genes RAD51C, FANCD2 and FANCI, and in two genes until now only associated with recessive disorders, CEP57 and RECQL4. Further data will be necessary to confirm the genetic heterogeneity of inherited PrCa predisposition hinted in this study.
Material and methods
This study is in accordance with the ethical standards of the Ethics Committee of the Portuguese Oncology Institute of Porto (approval number 38.010) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
We selected 121 cases from our previously described series of 462 early-onset and/or familial/hereditary PrCa cases , with two groups being considered: A) cases with familial/hereditary PrCa, and B) cases with early-onset PrCa and/or association with other types of cancer. Among the cases in the A group, three criteria were defined: 1) cases with at least three first-degree relatives with PrCa independently of the ages at diagnosis, 2) cases with two first-degree relatives with PrCa with average age at diagnosis ≤65 years and at least one of the affected cases diagnosed before the age of 61, and 3) cases diagnosed before the age of 61 with at least two first- or second-degree relatives with PrCa and average age at diagnosis of the three younger cases ≤65. Regarding the cases in the B group, three criteria were considered: 1) cases diagnosed before the age of 56 years with at least three first- or second-degree relatives diagnosed with cancer and average age at diagnosis of the three younger diagnoses ≤55, 2) cases diagnosed with second primary cancers besides PrCa and 3) cases with relatives diagnosed with either early-onset and/or rare cancer types (bilateral breast, male breast, brain) and/or clustering of other cancer types (e.g. breast, colon, or gastric cancers). Cases previously identified as harboring pathogenic mutations in known PrCa predisposing genes (HOXB13, BRCA2 and MSH2) were excluded from this case priorization [17,27].
DNA previously extracted from peripheral blood leucocytes by standard procedures  was quantified using Qubit Fluorometer (Thermo Fisher Scientific, Waltham, MA, USA).
We used as control samples 710 healthy individuals (391 males and 319 females; mean age 55.1 years; SD±9.4 years), including 528 blood donors (285 males and 243 females) from the Portuguese Oncology Institute of Porto with no personal history of cancer at the time of blood collection and 182 healthy relatives (106 males and 76 females) with negative predictive genetic testing (each from independent families).
Next generation sequencing
We applied our previously established NGS pipeline  using the TruSight Rapid Capture target enrichment workflow and the TruSight Cancer panel, both from Illumina, Inc. (San Diego, CA, USA). For variant analysis, sequences were aligned to the reference genome (GRCh37/hg19) using three different alignment and variant calling software: Isaac Enrichment (v2.1.0), BWA Enrichment (v2.1.0) and NextGENe (v2.4.1; Softgenetics, State College, PA, USA), as previously described . Briefly, for variant annotation and filtering, .vcf (variant call format) files from the three software were imported into GeneticistAssistant (Softgenetics) and filtered for variant frequency in our in-house database, excluding variants present in more than 10% of the cases. Additional variant selection included those with coverage >20x, alternative variant frequency between 30% and 70% (excluding variants in mosaicism), and minor allele frequency (MAF) ≤0.1% [65,66]. Synonymous variants and intronic variants at more than 12-bp away from exon-intron boundaries were excluded. For MAF filtering, data was obtained from the 1000 Genomes Project [Based on Project Phase III Data ], Exome Variant Server [from NHLBI Exome Sequencing Project (http://evs.gs.washington.edu/EVS/), accessed in January, 2017] and Exome Aggregation Consortium [ExAC (http://exac.broadinstitute.org), accessed in January, 2017] databases, whenever available. Variants assigned as not pathogenic, likely not pathogenic, of no clinical significance or of little clinical significance, according to public databases, namely ClinVar (http://www.ncbi.nlm.nih.gov/clinvar/, accessed in January, 2017), Breast Cancer Information Core [BIC (https://research.nhgri.nih.gov/bic/), accessed in January, 2017)], and InSiGHT (via the Leiden Open-source Variation Database [LOVD (http://www.lovd.nl/3.0/home), accessed in January, 2017] ), were discarded.
Sanger sequencing validation
All the variants identified were validated by Sanger sequencing. For this purpose, primers (S6 Table) were designed using the Primer-BLAST design tool from the National Center for Biotechnology Information (NCBI) . For PCR amplification, an initial denaturation step was performed at 95°C for 15min, followed by 35 cycles with denaturation at 95°C for 30s, annealing at appropriate temperature (58–62°C) for 30s and extension at 72°C for 45s. A final extension step at 72°C for 9min was included. For the sequencing reaction, the BigDye Terminator v3.1 Cycle Sequencing Kit (Thermo Fisher Scientific) was used, according to the manufacturer’s instructions, and samples were run in a 3500 Genetic Analyzer (Thermo Fisher Scientific). For validation of the RECQL4 variant, primers and PCR conditions from Nishijo et al. were used . The TP53 variant was validated following the IARC (International Agency for Research on Cancer) protocol for direct sequencing (http://p53.iarc.fr/, update 2010). Primers and PCR conditions for Sanger sequencing validation of MSH2 and MSH6 variants were kindly provided by Professor Michael Griffiths from the West Midlands Regional Genetics Laboratory, Birmingham Women’s NHS Foundation Trust, Birmingham, United Kingdom.
In silico prediction of variant pathogenicity
To explore the functional consequence of truncating/deleterious variants, MutationTaster  and Uniprot  were queried. To infer the putative impact on splicing, the splice site predictors Human Splicing Finder 3.0 , MaxEntScan , NNSPLICE  and NetGene2  were used. To predict the biological impact of missense mutations, we looked at data from the predictor tools embedded in the NGS Interpretative Workbench from GeneticistAssistant, which includes the functional predictors SIFT, PolyPhen2, LRT, MutationTaster, PROVEAN, FATHMM, CADD, MutationAssessor, MetaLR, MetaSVM and VEST3, and the conservation analysis tools PhyloP, GERP++, PhastCons and SiPhy, as previously described .
To search for clinicopathological associations between mutation carriers and non-carriers, information on PSA at diagnosis, tumor staging and Gleason Score were gathered from medical records (S4 Table) and the Fisher’s exact test was used.
Genotyping by KASP technology
To evaluate the frequency in the general Northern Portuguese population of the missense variants identified in our series of PrCa patients we used KASP technology genotyping (KBioscience, Herts, UK) in our series of 710 healthy individuals, following manufacturer’s recommendations. KASP assay primers (S6 Table) were designed using the Primer-BLAST design tool from NCBI and data were analyzed in the LightCycler 480 Software 1.5.0.
S1 Fig. Pedigrees of the carriers of the CHEK2 “likely pathogenic” mutation c.349A>G.
(A) Patient HPC188. (B) Patient HPC289. DCIS- Ductal carcinoma in situ. Representative electropherogram of the Sanger sequencing is shown.
S2 Fig. Pedigree of the carrier of the MSH6 in-frame mutation c.3846_3860del considered incidental finding.
Note that the pedigree is the same shown in Fig 2 but here with the results of the genetic testing for the MSH6 variant.
S1 Table. In silico pathogenicity prediction scores of splicing variants.
S2 Table. Rankscores of in silico pathogenicity predictors of missense variants in genes described to predispose to prostate, breast, and/or ovarian cancer and/or Lynch syndrome.
S3 Table. Genotype frequencies observed for the missense variants in 710 healthy controls, in 504 non-prostate cancer patients and in NFE controls from ExAC.
S4 Table. Patients’ characteristics (fulfilled criteria), mutational status and clinicopathological data.
S5 Table. Clinicopathological associations between mutation carriers and non-carriers considering homogeneous sample groups.
We thank all the patients and their relatives who took part in this study. We thank the kind support from Professor Rui Henrique (Head of the Department of Pathology of the IPO Porto) for providing information regarding the expression of MSH2 and MSH6 in the tumor tissues of the mutation carriers and from Manuela Pinheiro (postdoc at the Cancer Genetics Group of the CI-IPOP) for providing technical guidance in KASP genotyping.
- 1. Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2015. CA Cancer J Clin. 2015;65(1):5–29. pmid:25559415
- 2. Heidenreich A, Bastian PJ, Bellmunt J, Bolla M, Joniau S, van der Kwast T, et al. EAU guidelines on prostate cancer. part 1: screening, diagnosis, and local treatment with curative intent-update 2013. Eur Urol. 2014;65(1):124–37. pmid:24207135
- 3. Stanford JL, Ostrander EA. Familial prostate cancer. Epidemiol Rev. 2001;23(1):19–23. pmid:11588848
- 4. Hsing AW, Chokkalingam AP. Prostate cancer epidemiology. Front Biosci. 2006;11:1388–413. pmid:16368524
- 5. Carter BS, Beaty TH, Steinberg GD, Childs B, Walsh PC. Mendelian inheritance of familial prostate cancer. Proc Natl Acad Sci U S A. 1992;89:3367–71. pmid:1565627
- 6. Brandt A, Bermejo JL, Sundquist J, Hemminki K. Age at diagnosis and age at death in familial prostate cancer. Oncologist. 2009;14(12):1209–17. pmid:19939895
- 7. Page WF, Braun MM, Partin AW, Caporaso N, Walsh P. Heredity and prostate cancer: a study of World War II veteran twins. Prostate. 1997;33(4):240–5. pmid:9397195
- 8. Lichtenstein P, Holm N V, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, et al. Environmental and heritable factors in the causation of cancer—analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med. 2000;343(2):78–85. pmid:10891514
- 9. Boyd LK, Mao X, Lu YJ. The complexity of prostate cancer: genomic alterations and heterogeneity. Nat Rev Urol. 2012;9(11):652–64. pmid:23132303
- 10. Gillanders EM, Xu J, Chang B, Lange EM, Wiklund F, Bailey-Wilson JE, et al. Combined genome-wide scan for prostate cancer susceptibility genes. J Natl Cancer Inst. 2004;96(16):1240–7. pmid:15316059
- 11. Ford D, Easton DF, Bishop DT, Narod SA, Goldgar DE. Risks of cancer in BRCA1-mutation carriers. Breast Cancer Linkage Consortium. Lancet. 1994;343(8899):692–5. pmid:7907678
- 12. Struewing JP, Hartge P, Wacholder S, Baker SM, Berlin M, McAdams M, et al. The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews. N Engl J Med. 1997;336(20):1401–8. pmid:9145676
- 13. Ewing CM, Ray AM, Lange EM, Zuhlke KA, Robbins CM, Tembe WD, et al. Germline mutations in HOXB13 and prostate-cancer risk. N Engl J Med. 2012;366(2):141–9. pmid:22236224
- 14. Xu J, Lange EM, Lu L, Zheng SL, Wang Z, Thibodeau SN, et al. HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG). Hum Genet. 2013;132(1):5–14. pmid:23064873
- 15. Huang H, Cai B. G84E mutation in HOXB13 is firmly associated with prostate cancer risk: a meta-analysis. Tumour Biol. 2014;35(2):1177–82. pmid:24026887
- 16. Lin X, Qu L, Chen Z, Xu C, Ye D, Shao Q, et al. A novel germline mutation in HOXB13 is associated with prostate cancer risk in Chinese men. Prostate. 2013;73(2):169–75. pmid:22718278
- 17. Maia S, Cardoso M, Pinto P, Pinheiro M, Santos C, Peixoto A, et al. Identification of two novel HOXB13 germline mutations in Portuguese prostate cancer patients. PLoS One. 2015;10(7):e0132728. pmid:26176944
- 18. The Breast Cancer Linkage Consortium. Cancer risks in BRCA2 mutation carriers. J Natl Cancer Inst. 1999;91(15):1310–6. pmid:10433620
- 19. Edwards SM, Kote-Jarai Z, Meitz J, Hamoudi R, Hope Q, Osin P, et al. Two percent of men with early-onset prostate cancer harbor germline mutations in the BRCA2 gene. Am J Hum Genet. 2003;72(1):1–12. pmid:12474142
- 20. Kote-Jarai Z, Leongamornlert D, Saunders E, Tymrakiewicz M, Castro E, Mahmud N, et al. BRCA2 is a moderate penetrance gene contributing to young-onset prostate cancer: implications for genetic testing in prostate cancer patients. Br J Cancer. 2011;105(8):1230–4. pmid:21952622
- 21. Johannesdottir G, Gudmundsson J, Bergthorsson JT, Arason A, Agnarsson BA, Eiriksdottir G, et al. High prevalence of the 999del5 mutation in icelandic breast and ovarian cancer patients. Cancer Res. 1996;56(16):3663–5. pmid:8706004
- 22. Kirchhoff T, Kauff ND, Mitra N, Nafa K, Huang H, Palmer C, et al. BRCA mutations and risk of prostate cancer in Ashkenazi Jews. Clin Cancer Res. 2004;10(9):2918–21. pmid:15131025
- 23. Goecke T, Schulmann K, Engel C, Holinski-Feder E, Pagenstecher C, Schackert HK, et al. Genotype-phenotype comparison of German MLH1 and MSH2 mutation carriers clinically affected with Lynch syndrome: a report by the German HNPCC Consortium. J Clin Oncol. 2006;24(26):4285–92. pmid:16908935
- 24. Grindedal EM, Møller P, Eeles R, Stormorken AT, Bowitz-Lothe IM, Landrø SM, et al. Germline mutations in mismatch repair genes associated with prostate cancer. Cancer Epidemiol Biomarkers Prev. 2009;18(9):2460–7. pmid:19723918
- 25. Haraldsdottir S, Hampel H, Wei L, Wu C, Frankel W, Bekaii-Saab T, et al. Prostate cancer incidence in males with Lynch syndrome. Genet Med. 2014;16(7):553–7. pmid:24434690
- 26. Rosty C, Walsh MD, Lindor NM, Thibodeau SN, Mundt E, Gallinger S, et al. High prevalence of mismatch repair deficiency in prostate cancers diagnosed in mismatch repair gene mutation carriers from the colon cancer family registry. Fam Cancer. 2014;13(4):573–82. pmid:25117503
- 27. Maia S, Cardoso M, Paulo P, Pinheiro M, Pinto P, Santos C, et al. The role of germline mutations in the BRCA1/2 and mismatch repair genes in men ascertained for early-onset and/or familial prostate cancer. Fam Cancer. 2016;15(1):111–21. pmid:26289772
- 28. Seppälä EH, Ikonen T, Mononen N, Autio V, Rökman A, Matikainen MP, et al. CHEK2 variants associate with hereditary prostate cancer. Br J Cancer. 2003;89(10):1966–70. pmid:14612911
- 29. Dong X, Wang L, Taniguchi K, Wang X, Cunningham JM, McDonnell SK, et al. Mutations in CHEK2 associated with prostate cancer risk. Am J Hum Genet. 2003;72(2):270–80. pmid:12533788
- 30. Cybulski C, Huzarski T, Górski B, Masojć B, Mierzejewski M, Debniak T, et al. A novel founder CHEK2 mutation is associated with increased prostate cancer risk. Cancer Res. 2004;64(8):2677–9. pmid:15087378
- 31. Cybulski C, Wokołorczyk D, Huzarski T, Byrski T, Gronwald J, Górski B, et al. A large germline deletion in the Chek2 kinase gene is associated with an increased risk of prostate cancer. J Med Genet. 2006;43(11):863–6. pmid:17085682
- 32. Cybulski C, Górski B, Debniak T, Gliniewicz B, Mierzejewski M, Masojć B, et al. NBS1 is a prostate cancer susceptibility gene. Cancer Res. 2004;64(4):1215–9. pmid:14973119
- 33. di Masi A, Antoccia A. NBS1 Heterozygosity and cancer risk. Curr Genomics. 2008;9(4):275–81. pmid:19452044
- 34. Angèle S, Falconer A, Edwards SM, Do T, Bremer M, Moullan N, et al. ATM polymorphisms as risk factors for prostate cancer development. Br J Cancer. 2004;17:783–7.
- 35. Leongamornlert D, Saunders E, Dadaev T, Tymrakiewicz M, Goh C, Kozarewa I, et al. Frequent germline deleterious mutations in DNA repair genes in familial prostate cancer cases are associated with advanced disease. Br J Cancer. 2014;110(6):1663–72. pmid:24556621
- 36. Kote-Jarai Z, Jugurnauth S, Mulholland S, Leongamornlert DA, Guy M, Edwards S, et al. A recurrent truncating germline mutation in the BRIP1/FANCJ gene and susceptibility to prostate cancer. Br J Cancer. 2009;100(2):426–30. pmid:19127258
- 37. Paulo P, Pinto P, Peixoto A, Santos C, Pinto C, Rocha P, et al. Validation of a next generation sequencing pipeline for the molecular diagnosis of multiple inherited cancer predisposing syndromes. J Mol Diagnostics. 2017;19(4):502–13.
- 38. Pinto P, Paulo P, Santos C, Rocha P, Pinto C, Veiga I, et al. Implementation of next-generation sequencing for molecular diagnosis of hereditary breast and ovarian cancer highlights its genetic heterogeneity. Breast Cancer Res Treat. 2016;159(2):245–56. pmid:27553368
- 39. Walden H, Deans AJ. The Fanconi anemia DNA repair pathway: structural and functional insights into a complex disorder. Annu Rev Biophys. 2014;43:257–78. pmid:24773018
- 40. Dong H, Nebert DW, Bruford EA, Thompson DC, Joenje H, Vasiliou V. Update of the human and mouse Fanconi anemia genes. Hum Genomics. 2015;9:32. pmid:26596371
- 41. Byrnes GB, Southey MC, Hopper JL. Are the so-called low penetrance breast cancer genes, ATM, BRIP1, PALB2 and CHEK2, high risk for women with strong family histories? Breast Cancer Res. 2008;10(3):208. pmid:18557994
- 42. Sopik V, Akbari MR, Narod SA. Genetic testing for RAD51C mutations: in the clinic and community. Clin Genet. 2014;88(4):303–12.
- 43. Southey MC, Goldgar DE, Winqvist R, Pylkäs K, Couch F, Tischkowitz M, et al. PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS. J Med Genet. 2016;1–12.
- 44. Meindl A, Hellebrand H, Wiek C, Erven V, Wappenschmidt B, Niederacher D, et al. Germline mutations in breast and ovarian cancer pedigrees establish RAD51C as a human cancer susceptibility gene. Nat Genet. 2010;42(5):410–4. pmid:20400964
- 45. Buitrago L, Rendon A, Liang Y, Simeoni I, Negri A, Filizola M, et al. αIIbβ3 variants defined by next-generation sequencing: predicting variants likely to cause Glanzmann thrombasthenia. Proc Natl Acad Sci U S A. 2015;112(15):E1898–907. pmid:25827233
- 46. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;15(5):405–24.
- 47. Li Q, Wang K. InterVar: Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines. Am J Hum Genet. 2017;100(2):267–80. pmid:28132688
- 48. Sodha N, Mantoni TS, Tavtigian S V, Eeles R, Garrett MD. Rare germ line CHEK2 variants identified in breast cancer families encode proteins that show impaired activation. Cancer Res. 2006;66(18):8966–70. pmid:16982735
- 49. Roeb W, Higgins J, King MC. Response to DNA damage of CHEK2 missense mutations in familial breast cancer. Hum Mol Genet. 2012;21(12):2738–44. pmid:22419737
- 50. Edwards SM, Evans DGR, Hope Q, Norman AR, Barbachano Y, Bullock S, et al. Prostate cancer in BRCA2 germline mutation carriers is associated with poorer prognosis. Br J Cancer. 2010;103(6):918–24. pmid:20736950
- 51. Suwaki N, Klare K, Tarsounas M. RAD51 paralogs: Roles in DNA damage signalling, recombinational repair and tumorigenesis. Semin Cell Dev Biol. 2011;22(8):898–905. pmid:21821141
- 52. Deans AJ, West SC. DNA interstrand crosslink repair and cancer. Nat Rev Cancer. 2011;11(7):467–80. pmid:21701511
- 53. Jacquemont S, Bocéno M, Rival JM, Méchinaud F, David A. High risk of malignancy in mosaic variegated aneuploidy syndrome. Am J Med Genet. 2002;109(1):17–21. pmid:11932988
- 54. Snape K, Hanks S, Ruark E, Barros-Núñez P, Elliott A, Murray A, et al. Mutations in CEP57 cause mosaic variegated aneuploidy syndrome. Nat Genet. 2011;43(6):527–9. pmid:21552266
- 55. Suhasini AN, Brosh RM. Disease-causing missense mutations in human DNA helicase disorders. Mutat Res. 2013;752(2):138–52. pmid:23276657
- 56. Sokolenko AP, Iyevleva AG, Preobrazhenskaya E V, Mitiushkina N V, Abysheva SN, Suspitsin EN, et al. High prevalence and breast cancer predisposing role of the BLM c.1642 C>T (Q548X) mutation in Russia. Int J Cancer. 2012;130(12):2867–73. pmid:21815139
- 57. Cybulski C, Carrot-Zhang J, Kluźniak W, Rivera B, Kashyap A, Wokołorczyk D, et al. Germline RECQL mutations are associated with breast cancer susceptibility. Nat Genet. 2015;47(6):643–6. pmid:25915596
- 58. Anisimenko MS, Kozyakov AE, Paul GA, Kovalenko SP. The frequency of the BLM p.Q548X (c.1642C>T) mutation in breast cancer patients from Russia is no higher than in the general population. Breast Cancer Res Treat. 2014;148(3):689–90. pmid:25399228
- 59. Thompson ER, Doyle MA, Ryland GL, Rowley SM, Choong DY, Tothill RW, et al. Exome sequencing identifies rare deleterious mutations in DNA repair genes FANCC and BLM as potential breast cancer susceptibility alleles. PLoS Genet. 2012;8(9):e1002894. pmid:23028338
- 60. Woo L, Futami K, Shimamoto A, Furuichi Y, Frank K. The Rothmund-Thomson gene product RECQL4 localizes to the nucleolus in response to oxidative stress. Exp Cell Res. 2006;312(17):3443–57. pmid:16949575
- 61. Broeks A, Braaf LM, Huseinovic A, Schmidt MK, Russell NS, van Leeuwen FE, et al. The spectrum of ATM missense variants and their contribution to contralateral breast cancer. Breast Cancer Res Treat. 2008;107(2):243–8. pmid:17393301
- 62. Tavtigian S V, Chenevix-Trench G. Growing recognition of the role for rare missense substitutions in breast cancer susceptibility. Biomark Med. 2014;8(4):589–603. pmid:24796624
- 63. Schutte M, Seal S, Barfoot R, Meijers-Heijboer H, Wasielewski M, Evans DG, et al. Variants in CHEK2 other than 1100delC do not make a major contribution to breast cancer susceptibility. Am J Hum Genet. 2003;72(4):1023–8. pmid:12610780
- 64. Green RC, Berg JS, Grody WW, Kalia SS, Korf BR, Martin CL, et al. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med. 2013;15(7):565–74. pmid:23788249
- 65. Gylfe AE, Katainen R, Kondelin J, Tanskanen T, Cajuso T, Hänninen U, et al. Eleven candidate susceptibility genes for common familial colorectal cancer. PLoS Genet. 2013;9(10):e1003876. pmid:24146633
- 66. Esteban-Jurado C, Vila-Casadesús M, Garre P, Lozano JJ, Pristoupilova A, Beltran S, et al. Whole-exome sequencing identifies rare pathogenic variants in new predisposition genes for familial colorectal cancer. Genet Med. 2014;17(2):131–42. pmid:25058500
- 67. Abecasis GR, Altshuler D, Auton A, Brooks LD, Durbin RM, Gibbs RA, et al. A map of human genome variation from population-scale sequencing. Nature. 2010;467(7319):1061–73. pmid:20981092
- 68. Fokkema IFAC Taschner PEM, Schaafsma GCP, Celli J, Laros JFJ, den Dunnen JT. LOVD v.2.0: the next generation in gene variant databases. Hum Mutat. 2011;32(5):557–63. pmid:21520333
- 69. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics. 2012;13:134. pmid:22708584
- 70. Nishijo K, Nakayama T, Aoyama T, Okamoto T, Ishibe T, Yasura K, et al. Mutation analysis of the RECQL4 gene in sporadic osteosarcomas. Int J Cancer. 2004;111(3):367–72. pmid:15221963
- 71. Schwarz JM, Cooper DN, Schuelke M, Seelow D. MutationTaster2: mutation prediction for the deep-sequencing age. Nat Methods. 2014;11(4):361–2. pmid:24681721
- 72. The UniProt Consortium. UniProt: a hub for protein information. Nucleic Acids Res. 2014;43(D1):D204–212.
- 73. Desmet FO, Hamroun D, Lalande M, Collod-Bëroud G, Claustres M, Béroud C. Human Splicing Finder: An online bioinformatics tool to predict splicing signals. Nucleic Acids Res. 2009;37(9):1–14.
- 74. Yeo G, Burge CB. Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals. J Comput Biol. 2004;11:377–94. pmid:15285897
- 75. Reese MG, Eeckman FH, Kulp D, Haussler D. Improved splice site detection in Genie. J Comput Biol. 1997;4(3):311–23. pmid:9278062
- 76. Hebsgaard SM, Korning PG, Tolstrup N, Engelbrecht J, Rouzé P, Brunak S. Splice site prediction in Arabidopsis thaliana pre-mRNA by combining local and global sequence information. Nucleic Acids Res. 1996;24(17):3439–52. pmid:8811101