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Kim J, Luo W, Wang M, Wegman-Ostrosky T, Frone MN, Johnston JJ, Nickerson ML, Rotunno M, Li SA, Achatz MI, Brodie SA, Dean M, de Andrade KC, Fortes FP, Gianferante M, Khincha P, McMaster ML, McReynolds LJ, Pemov A, Pinheiro M, Santiago KM, Alter BP, Caporaso NE, Gadalla SM, Goldin LR, Greene MH, Loud J, Yang XR, Freedman ND, Gapstur SM, Gaudet MM, Calista D, Ghiorzo P, Fargnoli MC, Nagore E, Peris K, Puig S, Landi MT, Hicks B, Zhu B, Liu J, Sampson JN, Chanock SJ, Mirabello LJ, Morton LM, Biesecker LG, Tucker MA, Savage SA, Goldstein AM, Stewart DR. Prevalence of pathogenic/likely pathogenic variants in the 24 cancer genes of the ACMG Secondary Findings v2.0 list in a large cancer cohort and ethnicity-matched controls. Genome Med 2018; 10:99. [PMID: 30583724 PMCID: PMC6305568 DOI: 10.1186/s13073-018-0607-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 12/05/2018] [Indexed: 12/20/2022] Open
Abstract
Background Prior research has established that the prevalence of pathogenic/likely pathogenic (P/LP) variants across all of the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes is approximately 0.8–5%. We investigated the prevalence of P/LP variants in the 24 ACMG SF v2.0 cancer genes in a family-based cancer research cohort (n = 1173) and in cancer-free ethnicity-matched controls (n = 982). Methods We used InterVar to classify variants and subsequently conducted a manual review to further examine variants of unknown significance (VUS). Results In the 24 genes on the ACMG SF v2.0 list associated with a cancer phenotype, we observed 8 P/LP unique variants (8 individuals; 0.8%) in controls and 11 P/LP unique variants (14 individuals; 1.2%) in cases, a non-significant difference. We reviewed 115 VUS. The median estimated per-variant review time required was 30 min; the first variant within a gene took significantly (p = 0.0009) longer to review (median = 60 min) compared with subsequent variants (median = 30 min). The concordance rate was 83.3% for the variants examined by two reviewers. Conclusion The 115 VUS required database and literature review, a time- and labor-intensive process hampered by the difficulty in interpreting conflicting P/LP determinations. By rigorously investigating the 24 ACMG SF v2.0 cancer genes, our work establishes a benchmark P/LP variant prevalence rate in a familial cancer cohort and controls. Electronic supplementary material The online version of this article (10.1186/s13073-018-0607-5) contains supplementary material, which is available to authorized users.
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Bian X, Zhu B, Wang M, Hu Y, Chen Q, Nguyen C, Hicks B, Meerzaman D. Comparing the performance of selected variant callers using synthetic data and genome segmentation. BMC Bioinformatics 2018; 19:429. [PMID: 30453880 PMCID: PMC6245711 DOI: 10.1186/s12859-018-2440-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 10/19/2018] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND High-throughput sequencing has rapidly become an essential part of precision cancer medicine. But validating results obtained from analyzing and interpreting genomic data remains a rate-limiting factor. The gold standard, of course, remains manual validation by expert panels, which is not without its weaknesses, namely high costs in both funding and time as well as the necessarily selective nature of manual validation. But it may be possible to develop more economical, complementary means of validation. In this study we employed four synthetic data sets (variants with known mutations spiked into specific genomic locations) of increasing complexity to assess the sensitivity, specificity, and balanced accuracy of five open-source variant callers: FreeBayes v1.0, VarDict v11.5.1, MuTect v1.1.7, MuTect2, and MuSE v1.0rc. FreeBayes, VarDict, and MuTect were run in bcbio-next gen, and the results were integrated into a single Ensemble call set. The known mutations provided a level of "ground truth" against which we evaluated variant-caller performance. We further facilitated the comparison and evaluation by segmenting the whole genome into 10,000,000 base-pair fragments which yielded 316 segments. RESULTS Differences among the numbers of true positives were small among the callers, but the numbers of false positives varied much more when the tools were used to analyze sets one through three. Both FreeBayes and VarDict produced strikingly more false positives than did the others, although VarDict, somewhat paradoxically also produced the highest number of true positives. The Ensemble approach yielded results characterized by higher specificity and balanced accuracy and fewer false positives than did any of the five tools used alone. Sensitivity and specificity, however, declined for all five callers as the complexity of the data sets increased, but we did not uncover anything more than limited, weak correlations between caller performance and certain DNA structural features: gene density and guanine-cytosine content. Altogether, MuTect2 performed the best among the callers tested, followed by MuSE and MuTect. CONCLUSIONS Spiking data sets with specific mutations -single-nucleotide variations (SNVs), single-nucleotide polymorphisms (SNPs), or structural variations (SVs) in this study-at known locations in the genome provides an effective and economical way to compare data analyzed by variant callers with ground truth. The method constitutes a viable alternative to the prolonged, expensive, and noncomprehensive assessment by expert panels. It should be further developed and refined, as should other comparatively "lightweight" methods of assessing accuracy. Given that the scientific community has not yet established gold standards for validating NGS-related technologies such as variant callers, developing multiple alternative means for verifying variant-caller accuracy will eventually lead to the establishment of higher-quality standards than could be achieved by prematurely limiting the range of innovative methods explored by members of the community.
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Zhu* B, Poeta* L, Costantini* M, Zhang* T, Sentinelli S, Shi J, Brown K, Hua X, Yeager M, Wang M, Hicks B, Chanock* S, Gallucci* M, Fazio* V, Landi* MT. Abstract 2185: Multiple region whole-genome sequencing reveals intratumor heterogeneity and branching clonal architecture of non-clear-cell renal cell carcinoma. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-2185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Limited knowledge about the intratumor heterogeneity (ITH) of non-clear-cell renal cell carcinoma (nccRCC) hinders therapeutic efficacy. We performed multi-region whole-genome sequencing, genome-wide methylation profiling and deep targeted sequencing of both primary and paired metastatic tumors in 124 samples from 29 subjects with papillary renal cell carcinoma type 1, papillary renal cell carcinoma type 2 and collecting duct kidney tumors. Samples were taken from the tumors' center to the periphery at ~1.5cm from each other. We conducted integrative ITH analysis of single nucleotide variants, somatic copy number alterations, structural variants, transposon element insertions, telomere length and DNA methylation, and inferred their respective evolutionary history. We also analyzed the concordance between physical and lineage phylogenetic evolution, and inferred the regions from which the metastases likely originated.
ITH varied significantly across tumors and histological subtypes. For example, the average number of structural variants per tumor was 1.2 in papillary RCC type 1 vs. 23.6 in papillary RCC type 2. In papillary tumors, ITH was lowest for copy number alterations (~5% subclonal changes across all tumor types), intermediate for single nucleotide variants (~32%), and highest for structural variants (~60%), suggesting a tumor molecular evolution along these steps. Lineage trees commonly showed branching evolutions with a dominant subclone. Focal deletion of the CDKN2A gene characterized the collecting duct tumors. Methylation ITH was highest in the enhancer regions. Metastatic and primary tumors shared similar mutation signatures. Telomere length was generally longer in normal vs. tumor samples and was similar in physically adjacent samples.
In summary, our study characterized ITH of nccRCC with unprecedented details for multiple types of somatic alterations, and delineated the branching architecture of clonal evolution, including the metastatic phase.
Citation Format: Bin Zhu*, Luana Poeta*, Manuela Costantini*, Tongwu Zhang*, Steno Sentinelli, Jianxin Shi, Kevin Brown, Xing Hua, Meredith Yeager, Mingyi Wang, Belynda Hicks, Stephen Chanock*, Michele Gallucci*, Vito Fazio*, Maria Teresa Landi*. Multiple region whole-genome sequencing reveals intratumor heterogeneity and branching clonal architecture of non-clear-cell renal cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2185.
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Zhang T, Sampson J, Bertazzi PA, Pesatori A, Consonni D, Zhu B, Hicks B, Hua X, Shi J, Brown K, Chanock S, Landi MT. Abstract 1187: Comparison of intra-tumor heterogeneity and clonal evolution across lung cancer subtypes by multi-region whole genome sequencing. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-1187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Both lung squamous cell carcinoma (LUSC) and lung cancer with neuroendocrine features (LUNE; i.e., small cell carcinoma (SCLC), large cell carcinoma (LCNEC) and other subtypes) are associated with tobacco smoking and have a very poor prognosis. We sought to characterize their clonal architecture and illustrate how the evolutionary patterns differ across these lung cancer subtypes. We performed multi-region whole genome sequencing of 83 samples from 36 LUSC and 67 samples from 23 LUNE patients that had been resected before systemic therapy.
Among somatic copy number alterations, we observed genome doubling intra-tumor heterogeneity (ITH) and massive genomic instability in both subtypes. For somatic nucleotide variants (SNVs), the total mutation burden was higher in LUSC (16.7 average number of mutations/Mb) than LUNE (12.7/Mb), but for SNVs ITH was higher in LUNE. Among driver genes, TP53, CDKN2A, CR1, and NRK in LUSC and TP53, KRAS, KMT2D, and RB1 in LUNE were frequently mutated and were always clonal. Evidence of positive selection was found for TP53, PTEN, KMT2D and KEAP1 in LUSC, and for TP53 and KRAS in LUNE. As expected, the dominant mutation signatures in LUSC clones included signatures 4, 1, and 5, while APOBEC signatures (2 and 13) were predominantly found in sub-clones. In contrast, no evidence of APOBEC signatures were found in LUNE. Among structural variants, LUNE had more events (339.25 average number of events/tumor) than LUSC (206.7/tumor), with considerable ITH in both subtypes, particularly in LUNE. In LUNE, the dominant mechanism responsible for SVs included fork stalling and template switching within the microhomology-mediated break-induced repair (MMBIR). We found recurrent fusion events with hotspots including those previously identified near TTC28/CHEK2 (42% LUSC and 35% LUNE) and LRP1B (42% LUSC). Additional hotspots were found in chromosome bands 20p12.1 (22% LUSC), 1p31.1 (19% LUSC) and 12p11.22 (22% LUNE). We found >10-fold higher transposon insertions (LINE1) in LUSC (71.9 average number of events/tumor) than LUNE (6.3/tumor). Our findings improve our evolutionary understanding of these lung cancer subtypes and warrant further investigations on the mechanisms involved in clonal genomic instability.
Citation Format: Tongwu Zhang, Joshua Sampson, Pier Alberto Bertazzi, Angela Pesatori, Dario Consonni, Bin Zhu, Belynda Hicks, Xing Hua, Jianxin Shi, Kevin Brown, Stephen Chanock, Maria Teresa Landi. Comparison of intra-tumor heterogeneity and clonal evolution across lung cancer subtypes by multi-region whole genome sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1187.
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Tran KT, McMenamin ÚC, Hicks B, Murchie P, Thrift AP, Coleman HG, Iversen L, Johnston BT, Lee AJ, Cardwell CR. Proton pump inhibitor and histamine-2 receptor antagonist use and risk of liver cancer in two population-based studies. Aliment Pharmacol Ther 2018; 48:55-64. [PMID: 29741272 DOI: 10.1111/apt.14796] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 04/06/2018] [Accepted: 04/18/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Proton pump inhibitors (PPIs) and histamine-2 receptor antagonists (H2RAs) are commonly used. PPIs have been shown to promote liver cancer in rats; however, only one study has examined the association in humans. AIMS To investigate PPIs and H2RAs and risk of primary liver cancer in two large independent study populations. METHODS We conducted a nested case-control study within the Primary Care Clinical Informatics Unit (PCCIU) database in which up to five controls were matched to cases with primary liver cancer, recorded by General Practitioners. Odds ratios (ORs) and 95% confidence intervals (95% CIs) for associations with prescribed PPIs and H2RAs were calculated using conditional logistic regression. We also conducted a prospective cohort study within the UK Biobank using self-reported medication use and cancer-registry recorded primary liver cancer. Hazard ratios (HRs) and 95% CIs were calculated using Cox regression. RESULTS In the PCCIU case-control analysis, 434 liver cancer cases were matched to 2103 controls. In the UK Biobank cohort, 182 of 475 768 participants developed liver cancer. In both, ever use of PPIs was associated with increased liver cancer risk (adjusted OR 1.80, 95% CI 1.34, 2.41 and adjusted HR 1.99, 95% CI 1.34, 2.94 respectively). There was little evidence of association with H2RA use (adjusted OR 1.21, 95% CI 0.84, 1.76 and adjusted HR 1.70, 95% CI 0.82, 3.53 respectively). CONCLUSIONS We found some evidence that PPI use was associated with liver cancer. Whether this association is causal or reflects residual confounding or reverse causation requires additional research.
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Wu L, Shi W, Long J, Guo X, Michailidou K, Beesley J, Bolla MK, Shu XO, Lu Y, Cai Q, Al-Ejeh F, Rozali E, Wang Q, Dennis J, Li B, Zeng C, Feng H, Gusev A, Barfield RT, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Barrdahl M, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Brinton L, Broberg P, Brucker SY, Burwinkel B, Caldés T, Canzian F, Carter BD, Castelao JE, Chang-Claude J, Chen X, Cheng TYD, Christiansen H, Clarke CL, Collée M, Cornelissen S, Couch FJ, Cox D, Cox A, Cross SS, Cunningham JM, Czene K, Daly MB, Devilee P, Doheny KF, Dörk T, Dos-Santos-Silva I, Dumont M, Dwek M, Eccles DM, Eilber U, Eliassen AH, Engel C, Eriksson M, Fachal L, Fasching PA, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, Gapstur SM, García-Closas M, Gaudet MM, Ghoussaini M, Giles GG, Goldberg MS, Goldgar DE, González-Neira A, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hallberg E, Hamann U, Harrington P, Hein A, Hicks B, Hillemanns P, Hollestelle A, Hoover RN, Hopper JL, Huang G, Humphreys K, Hunter DJ, Jakubowska A, Janni W, John EM, Johnson N, Jones K, Jones ME, Jung A, Kaaks R, Kerin MJ, Khusnutdinova E, Kosma VM, Kristensen VN, Lambrechts D, Le Marchand L, Li J, Lindström S, Lissowska J, Lo WY, Loibl S, Lubinski J, Luccarini C, Lux MP, MacInnis RJ, Maishman T, Kostovska IM, Mannermaa A, Manson JE, Margolin S, Mavroudis D, Meijers-Heijboer H, Meindl A, Menon U, Meyer J, Mulligan AM, Neuhausen SL, Nevanlinna H, Neven P, Nielsen SF, Nordestgaard BG, Olopade OI, Olson JE, Olsson H, Peterlongo P, Peto J, Plaseska-Karanfilska D, Prentice R, Presneau N, Pylkäs K, Rack B, Radice P, Rahman N, Rennert G, Rennert HS, Rhenius V, Romero A, Romm J, Rudolph A, Saloustros E, Sandler DP, Sawyer EJ, Schmidt MK, Schmutzler RK, Schneeweiss A, Scott RJ, Scott CG, Seal S, Shah M, Shrubsole MJ, Smeets A, Southey MC, Spinelli JJ, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper W, Taylor JA, Terry MB, Tessier DC, Thomas A, Thöne K, Tollenaar RAEM, Torres D, Truong T, Untch M, Vachon C, Van Den Berg D, Vincent D, Waisfisz Q, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett WC, Winqvist R, Wolk A, Xia L, Yang XR, Ziogas A, Ziv E, Dunning AM, Pharoah PDP, Simard J, Milne RL, Edwards SL, Kraft P, Easton DF, Chenevix-Trench G, Zheng W. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer. Nat Genet 2018; 50:968-978. [PMID: 29915430 PMCID: PMC6314198 DOI: 10.1038/s41588-018-0132-x] [Citation(s) in RCA: 135] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 04/17/2018] [Indexed: 01/17/2023]
Abstract
The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P < 5.82 × 10-6, including 14 genes at loci not yet reported for breast cancer. We silenced 13 genes and showed an effect for 11 on cell proliferation and/or colony-forming efficiency. Our study provides new insights into breast cancer genetics and biology.
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Gadalla SM, Wang T, Loftus D, Friedman L, Dagnall C, Haagenson M, Spellman SR, Buturovic L, Blauwkamp M, Shelton J, Fleischhauer K, Hsu KC, Verneris MR, Krstajic D, Hicks B, Jones K, Lee SJ, Savage SA. No association between donor telomere length and outcomes after allogeneic unrelated hematopoietic cell transplant in patients with acute leukemia. Bone Marrow Transplant 2018; 53:383-391. [PMID: 29269807 PMCID: PMC5898974 DOI: 10.1038/s41409-017-0029-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 07/27/2017] [Accepted: 07/29/2017] [Indexed: 11/09/2022]
Abstract
Recent studies suggest improved survival in patients with severe aplastic anemia receiving hematopoietic cell transplant (HCT) from unrelated donors with longer telomeres. Here, we tested whether this effect is generalizable to patients with acute leukemia. From the Center for International Blood and Marrow Transplant Research (CIBMTR®) database, we identified 1097 patients who received 8/8 HLA-matched unrelated HCT for acute myeloid leukemia (AML) or acute lymphocytic leukemia (ALL) between 2004 and 2012 with myeloablative conditioning, and had pre-HCT blood sample from the donor in CIBMTR repository. The median age at HCT for recipients was 40 years (range ≤1-68), and 32 years for donors (range = 18-61). We used qPCR for relative telomere length (RTL) measurement, and Cox proportional hazard models for statistical analyses. In a discovery cohort of 300 patients, longer donor RTL (>25th percentile) was associated with reduced risks of relapse (HR = 0.62, p = 0.05) and acute graft-versus-host disease II-IV (HR = 0.68, p = 0.05), and possibly with a higher probability of neutrophil engraftment (HR = 1.3, p = 0.06). However, these results did not replicate in two validation cohorts of 297 and 488 recipients. There was one exception; a higher probability of neutrophil engraftment was observed in one validation cohort (HR = 1.24, p = 0.05). In a combined analysis of the three cohorts, no statistically significant associations (all p > 0.1) were found between donor RTL and any outcomes.
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Goldstein AM, Xiao Y, Sampson J, Zhu B, Rotunno M, Bennett H, Wen Y, Jones K, Vogt A, Burdette L, Luo W, Zhu B, Yeager M, Hicks B, Han J, De Vivo I, Koutros S, Andreotti G, Beane-Freeman L, Purdue M, Freedman ND, Chanock SJ, Tucker MA, Yang XR. Rare germline variants in known melanoma susceptibility genes in familial melanoma. Hum Mol Genet 2017; 26:4886-4895. [PMID: 29036293 PMCID: PMC5886297 DOI: 10.1093/hmg/ddx368] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 09/11/2017] [Accepted: 09/19/2017] [Indexed: 12/20/2022] Open
Abstract
Known high-risk cutaneous malignant melanoma (CMM) genes account for melanoma risk in <40% of melanoma-prone families, suggesting the existence of additional high-risk genes or perhaps a polygenic mechanism involving multiple genetic modifiers. The goal of this study was to systematically characterize rare germline variants in 42 established melanoma genes among 144 CMM patients in 76 American CMM families without known mutations using data from whole-exome sequencing. We identified 68 rare (<0.1% in public and in-house control datasets) nonsynonymous variants in 25 genes. We technically validated all loss-of-function, inframe insertion/deletion, and missense variants predicted as deleterious, and followed them up in 1, 559 population-based CMM cases and 1, 633 controls. Several of these variants showed disease co-segregation within families. Of particular interest, a stopgain variant in TYR was present in five of six CMM cases/obligate gene carriers in one family and a single population-based CMM case. A start gain variant in the 5'UTR region of PLA2G6 and a missense variant in ATM were each seen in all three affected people in a single family, respectively. Results from rare variant burden tests showed that familial and population-based CMM patients tended to have higher frequencies of rare germline variants in albinism genes such as TYR, TYRP1, and OCA2 (P < 0.05). Our results suggest that rare nonsynonymous variants in low- or intermediate-risk CMM genes may influence familial CMM predisposition, warranting further investigation of both common and rare variants in genes affecting functionally important pathways (such as melanogenesis) in melanoma risk assessment.
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Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S, Lindström S, Hui S, Lemaçon A, Soucy P, Dennis J, Jiang X, Rostamianfar A, Finucane H, Bolla MK, McGuffog L, Wang Q, Aalfs CM, Adams M, Adlard J, Agata S, Ahmed S, Ahsan H, Aittomäki K, Al-Ejeh F, Allen J, Ambrosone CB, Amos CI, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson KJ, Auber B, Auer PL, Ausems MGEM, Azzollini J, Bacot F, Balmaña J, Barile M, Barjhoux L, Barkardottir RB, Barrdahl M, Barnes D, Barrowdale D, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Bernstein L, Bignon YJ, Blazer KR, Blok MJ, Blomqvist C, Blot W, Bobolis K, Boeckx B, Bogdanova NV, Bojesen A, Bojesen SE, Bonanni B, Børresen-Dale AL, Bozsik A, Bradbury AR, Brand JS, Brauch H, Brenner H, Bressac-de Paillerets B, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Brunet J, Brüning T, Burwinkel B, Buys SS, Byun J, Cai Q, Caldés T, Caligo MA, Campbell I, Canzian F, Caron O, Carracedo A, Carter BD, Castelao JE, Castera L, Caux-Moncoutier V, Chan SB, Chang-Claude J, Chanock SJ, Chen X, Cheng TYD, Chiquette J, Christiansen H, Claes KBM, Clarke CL, Conner T, Conroy DM, Cook J, Cordina-Duverger E, Cornelissen S, Coupier I, Cox A, Cox DG, Cross SS, Cuk K, Cunningham JM, Czene K, Daly MB, Damiola F, Darabi H, Davidson R, De Leeneer K, Devilee P, Dicks E, Diez O, Ding YC, Ditsch N, Doheny KF, Domchek SM, Dorfling CM, Dörk T, Dos-Santos-Silva I, Dubois S, Dugué PA, Dumont M, Dunning AM, Durcan L, Dwek M, Dworniczak B, Eccles D, Eeles R, Ehrencrona H, Eilber U, Ejlertsen B, Ekici AB, Eliassen AH, Engel C, Eriksson M, Fachal L, Faivre L, Fasching PA, Faust U, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Foulkes WD, Friedman E, Fritschi L, Frost D, Gabrielson M, Gaddam P, Gammon MD, Ganz PA, Gapstur SM, Garber J, Garcia-Barberan V, García-Sáenz JA, Gaudet MM, Gauthier-Villars M, Gehrig A, Georgoulias V, Gerdes AM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Goodfellow P, Greene MH, Alnæs GIG, Grip M, Gronwald J, Grundy A, Gschwantler-Kaulich D, Guénel P, Guo Q, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hallberg E, Hamann U, Hamel N, Hankinson S, Hansen TVO, Harrington P, Hart SN, Hartikainen JM, Healey CS, Hein A, Helbig S, Henderson A, Heyworth J, Hicks B, Hillemanns P, Hodgson S, Hogervorst FB, Hollestelle A, Hooning MJ, Hoover B, Hopper JL, Hu C, Huang G, Hulick PJ, Humphreys K, Hunter DJ, Imyanitov EN, Isaacs C, Iwasaki M, Izatt L, Jakubowska A, James P, Janavicius R, Janni W, Jensen UB, John EM, Johnson N, Jones K, Jones M, Jukkola-Vuorinen A, Kaaks R, Kabisch M, Kaczmarek K, Kang D, Kast K, Keeman R, Kerin MJ, Kets CM, Keupers M, Khan S, Khusnutdinova E, Kiiski JI, Kim SW, Knight JA, Konstantopoulou I, Kosma VM, Kristensen VN, Kruse TA, Kwong A, Lænkholm AV, Laitman Y, Lalloo F, Lambrechts D, Landsman K, Lasset C, Lazaro C, Le Marchand L, Lecarpentier J, Lee A, Lee E, Lee JW, Lee MH, Lejbkowicz F, Lesueur F, Li J, Lilyquist J, Lincoln A, Lindblom A, Lissowska J, Lo WY, Loibl S, Long J, Loud JT, Lubinski J, Luccarini C, Lush M, MacInnis RJ, Maishman T, Makalic E, Kostovska IM, Malone KE, Manoukian S, Manson JE, Margolin S, Martens JWM, Martinez ME, Matsuo K, Mavroudis D, Mazoyer S, McLean C, Meijers-Heijboer H, Menéndez P, Meyer J, Miao H, Miller A, Miller N, Mitchell G, Montagna M, Muir K, Mulligan AM, Mulot C, Nadesan S, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Niederacher D, Nielsen SF, Nordestgaard BG, Norman A, Nussbaum RL, Olah E, Olopade OI, Olson JE, Olswold C, Ong KR, Oosterwijk JC, Orr N, Osorio A, Pankratz VS, Papi L, Park-Simon TW, Paulsson-Karlsson Y, Lloyd R, Pedersen IS, Peissel B, Peixoto A, Perez JIA, Peterlongo P, Peto J, Pfeiler G, Phelan CM, Pinchev M, Plaseska-Karanfilska D, Poppe B, Porteous ME, Prentice R, Presneau N, Prokofieva D, Pugh E, Pujana MA, Pylkäs K, Rack B, Radice P, Rahman N, Rantala J, Rappaport-Fuerhauser C, Rennert G, Rennert HS, Rhenius V, Rhiem K, Richardson A, Rodriguez GC, Romero A, Romm J, Rookus MA, Rudolph A, Ruediger T, Saloustros E, Sanders J, Sandler DP, Sangrajrang S, Sawyer EJ, Schmidt DF, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seal S, Senter L, Seynaeve C, Shah M, Sharma P, Shen CY, Sheng X, Shimelis H, Shrubsole MJ, Shu XO, Side LE, Singer CF, Sohn C, Southey MC, Spinelli JJ, Spurdle AB, Stegmaier C, Stoppa-Lyonnet D, Sukiennicki G, Surowy H, Sutter C, Swerdlow A, Szabo CI, Tamimi RM, Tan YY, Taylor JA, Tejada MI, Tengström M, Teo SH, Terry MB, Tessier DC, Teulé A, Thöne K, Thull DL, Tibiletti MG, Tihomirova L, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Tong L, Torres D, Tranchant M, Truong T, Tucker K, Tung N, Tyrer J, Ulmer HU, Vachon C, van Asperen CJ, Van Den Berg D, van den Ouweland AMW, van Rensburg EJ, Varesco L, Varon-Mateeva R, Vega A, Viel A, Vijai J, Vincent D, Vollenweider J, Walker L, Wang Z, Wang-Gohrke S, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wesseling J, Whittemore AS, Wijnen JT, Willett W, Winqvist R, Wolk A, Wu AH, Xia L, Yang XR, Yannoukakos D, Zaffaroni D, Zheng W, Zhu B, Ziogas A, Ziv E, Zorn KK, Gago-Dominguez M, Mannermaa A, Olsson H, Teixeira MR, Stone J, Offit K, Ottini L, Park SK, Thomassen M, Hall P, Meindl A, Schmutzler RK, Droit A, Bader GD, Pharoah PDP, Couch FJ, Easton DF, Kraft P, Chenevix-Trench G, García-Closas M, Schmidt MK, Antoniou AC, Simard J. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet 2017; 49:1767-1778. [PMID: 29058716 PMCID: PMC5808456 DOI: 10.1038/ng.3785] [Citation(s) in RCA: 221] [Impact Index Per Article: 31.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 01/11/2017] [Indexed: 12/14/2022]
Abstract
Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10-8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.
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Crawford NG, Kelly DE, Hansen MEB, Beltrame MH, Fan S, Bowman SL, Jewett E, Ranciaro A, Thompson S, Lo Y, Pfeifer SP, Jensen JD, Campbell MC, Beggs W, Hormozdiari F, Mpoloka SW, Mokone GG, Nyambo T, Meskel DW, Belay G, Haut J, Rothschild H, Zon L, Zhou Y, Kovacs MA, Xu M, Zhang T, Bishop K, Sinclair J, Rivas C, Elliot E, Choi J, Li SA, Hicks B, Burgess S, Abnet C, Watkins-Chow DE, Oceana E, Song YS, Eskin E, Brown KM, Marks MS, Loftus SK, Pavan WJ, Yeager M, Chanock S, Tishkoff SA. Loci associated with skin pigmentation identified in African populations. Science 2017; 358:eaan8433. [PMID: 29025994 PMCID: PMC5759959 DOI: 10.1126/science.aan8433] [Citation(s) in RCA: 191] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2017] [Accepted: 10/03/2017] [Indexed: 12/13/2022]
Abstract
Despite the wide range of skin pigmentation in humans, little is known about its genetic basis in global populations. Examining ethnically diverse African genomes, we identify variants in or near SLC24A5, MFSD12, DDB1, TMEM138, OCA2, and HERC2 that are significantly associated with skin pigmentation. Genetic evidence indicates that the light pigmentation variant at SLC24A5 was introduced into East Africa by gene flow from non-Africans. At all other loci, variants associated with dark pigmentation in Africans are identical by descent in South Asian and Australo-Melanesian populations. Functional analyses indicate that MFSD12 encodes a lysosomal protein that affects melanogenesis in zebrafish and mice, and that mutations in melanocyte-specific regulatory regions near DDB1/TMEM138 correlate with expression of ultraviolet response genes under selection in Eurasians.
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Michailidou K, Lindström S, Dennis J, Beesley J, Hui S, Kar S, Lemaçon A, Soucy P, Glubb D, Rostamianfar A, Bolla MK, Wang Q, Tyrer J, Dicks E, Lee A, Wang Z, Allen J, Keeman R, Eilber U, French JD, Qing Chen X, Fachal L, McCue K, McCart Reed AE, Ghoussaini M, Carroll JS, Jiang X, Finucane H, Adams M, Adank MA, Ahsan H, Aittomäki K, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Arun B, Auer PL, Bacot F, Barrdahl M, Baynes C, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Børresen-Dale AL, Brand JS, Brauch H, Brennan P, Brenner H, Brinton L, Broberg P, Brock IW, Broeks A, Brooks-Wilson A, Brucker SY, Brüning T, Burwinkel B, Butterbach K, Cai Q, Cai H, Caldés T, Canzian F, Carracedo A, Carter BD, Castelao JE, Chan TL, David Cheng TY, Seng Chia K, Choi JY, Christiansen H, Clarke CL, Collée M, Conroy DM, Cordina-Duverger E, Cornelissen S, Cox DG, Cox A, Cross SS, Cunningham JM, Czene K, Daly MB, Devilee P, Doheny KF, Dörk T, Dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Elvira M, Engel C, Eriksson M, Fasching PA, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Fritschi L, Gaborieau V, Gabrielson M, Gago-Dominguez M, Gao YT, Gapstur SM, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grenaker Alnæs GI, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hamel N, Hankinson S, Harrington P, Hart SN, Hartikainen JM, Hartman M, Hein A, Heyworth J, Hicks B, Hillemanns P, Ho DN, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Hou MF, Hsiung CN, Huang G, Humphreys K, Ishiguro J, Ito H, Iwasaki M, Iwata H, Jakubowska A, Janni W, John EM, Johnson N, Jones K, Jones M, Jukkola-Vuorinen A, Kaaks R, Kabisch M, Kaczmarek K, Kang D, Kasuga Y, Kerin MJ, Khan S, Khusnutdinova E, Kiiski JI, Kim SW, Knight JA, Kosma VM, Kristensen VN, Krüger U, Kwong A, Lambrechts D, Le Marchand L, Lee E, Lee MH, Lee JW, Neng Lee C, Lejbkowicz F, Li J, Lilyquist J, Lindblom A, Lissowska J, Lo WY, Loibl S, Long J, Lophatananon A, Lubinski J, Luccarini C, Lux MP, Ma ESK, MacInnis RJ, Maishman T, Makalic E, Malone KE, Kostovska IM, Mannermaa A, Manoukian S, Manson JE, Margolin S, Mariapun S, Martinez ME, Matsuo K, Mavroudis D, McKay J, McLean C, Meijers-Heijboer H, Meindl A, Menéndez P, Menon U, Meyer J, Miao H, Miller N, Taib NAM, Muir K, Mulligan AM, Mulot C, Neuhausen SL, Nevanlinna H, Neven P, Nielsen SF, Noh DY, Nordestgaard BG, Norman A, Olopade OI, Olson JE, Olsson H, Olswold C, Orr N, Pankratz VS, Park SK, Park-Simon TW, Lloyd R, Perez JIA, Peterlongo P, Peto J, Phillips KA, Pinchev M, Plaseska-Karanfilska D, Prentice R, Presneau N, Prokofyeva D, Pugh E, Pylkäs K, Rack B, Radice P, Rahman N, Rennert G, Rennert HS, Rhenius V, Romero A, Romm J, Ruddy KJ, Rüdiger T, Rudolph A, Ruebner M, Rutgers EJT, Saloustros E, Sandler DP, Sangrajrang S, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schürmann P, Scott RJ, Scott C, Seal S, Seynaeve C, Shah M, Sharma P, Shen CY, Sheng G, Sherman ME, Shrubsole MJ, Shu XO, Smeets A, Sohn C, Southey MC, Spinelli JJ, Stegmaier C, Stewart-Brown S, Stone J, Stram DO, Surowy H, Swerdlow A, Tamimi R, Taylor JA, Tengström M, Teo SH, Beth Terry M, Tessier DC, Thanasitthichai S, Thöne K, Tollenaar RAEM, Tomlinson I, Tong L, Torres D, Truong T, Tseng CC, Tsugane S, Ulmer HU, Ursin G, Untch M, Vachon C, van Asperen CJ, Van Den Berg D, van den Ouweland AMW, van der Kolk L, van der Luijt RB, Vincent D, Vollenweider J, Waisfisz Q, Wang-Gohrke S, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett W, Winqvist R, Wolk A, Wu AH, Xia L, Yamaji T, Yang XR, Har Yip C, Yoo KY, Yu JC, Zheng W, Zheng Y, Zhu B, Ziogas A, Ziv E, Lakhani SR, Antoniou AC, Droit A, Andrulis IL, Amos CI, Couch FJ, Pharoah PDP, Chang-Claude J, Hall P, Hunter DJ, Milne RL, García-Closas M, Schmidt MK, Chanock SJ, Dunning AM, Edwards SL, Bader GD, Chenevix-Trench G, Simard J, Kraft P, Easton DF. Association analysis identifies 65 new breast cancer risk loci. Nature 2017; 551:92-94. [PMID: 29059683 PMCID: PMC5798588 DOI: 10.1038/nature24284] [Citation(s) in RCA: 834] [Impact Index Per Article: 119.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 09/17/2017] [Indexed: 12/19/2022]
Abstract
Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P < 5 × 10-8. The majority of credible risk single-nucleotide polymorphisms in these loci fall in distal regulatory elements, and by integrating in silico data to predict target genes in breast cells at each locus, we demonstrate a strong overlap between candidate target genes and somatic driver genes in breast tumours. We also find that heritability of breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores for individualized screening and prevention.
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Dagnall CL, Hicks B, Teshome K, Hutchinson AA, Gadalla SM, Khincha PP, Yeager M, Savage SA. Effect of pre-analytic variables on the reproducibility of qPCR relative telomere length measurement. PLoS One 2017; 12:e0184098. [PMID: 28886139 PMCID: PMC5590866 DOI: 10.1371/journal.pone.0184098] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 08/17/2017] [Indexed: 12/17/2022] Open
Abstract
Telomeres, long nucleotide repeats and a protein complex at chromosome ends, shorten with each cell division and are susceptible to oxidative damage. Quantitative PCR (qPCR) is a widely-used technique to measure relative telomere length (RTL) in DNA samples but is challenging to optimize and significant lab-to-lab variability has been reported. In this study, we evaluated factors that may contribute to qPCR RTL measurement variability including DNA extraction methods, methods used for removing potential residual PCR inhibitors, sample storage conditions, and sample location in the PCR plate. Our results show that the DNA extraction and purification techniques, as well as sample storage conditions introduce significant variability in qPCR RTL results. We did not find significant differences in results based on sample location in the PCR plate or qPCR instrument used. These data suggest that lack of reproducibility in published association studies of RTL could be, in part, due to methodological inconsistencies. This study illustrates the importance of uniform sample handling, from DNA extraction through data generation and analysis, in using qPCR to determine RTL.
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Khincha PP, Dagnall CL, Hicks B, Jones K, Aviv A, Kimura M, Katki H, Aubert G, Giri N, Alter BP, Savage SA, Gadalla SM. Correlation of Leukocyte Telomere Length Measurement Methods in Patients with Dyskeratosis Congenita and in Their Unaffected Relatives. Int J Mol Sci 2017; 18:ijms18081765. [PMID: 28805708 PMCID: PMC5578154 DOI: 10.3390/ijms18081765] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 08/05/2017] [Accepted: 08/08/2017] [Indexed: 11/16/2022] Open
Abstract
Several methods have been employed to measure telomere length (TL) in human studies. It has been difficult to directly compare the results from these studies because of differences in the laboratory techniques and output parameters. We compared TL measurements (TLMs) by the three most commonly used methods, quantitative polymerase chain reaction (qPCR), flow cytometry with fluorescence in situ hybridization (flow FISH) and Southern blot, in a cohort of patients with the telomere biology disorder dyskeratosis congenita (DC) and in their unaffected relatives (controls). We observed a strong correlation between the Southern blot average TL and the flow FISH total lymphocyte TL in both the DC patients and their unaffected relatives (R2 of 0.68 and 0.73, respectively). The correlation between the qPCR average TL and that of the Southern blot method was modest (R2 of 0.54 in DC patients and of 0.43 in unaffected relatives). Similar results were noted when comparing the qPCR average TL and the flow FISH total lymphocyte TL (R2 of 0.49 in DC patients and of 0.42 in unaffected relatives). In conclusion, the strengths of the correlations between the three widely used TL assays (qPCR, flow FISH, and Southern blot) were significantly different. Careful consideration is warranted when selecting the method of TL measurement for research and for clinical studies.
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Koster R, Zhu B, Yeager M, Dean M, Gianferante M, Song L, Sampson J, Gastier-Foster J, Gorlick R, Toledo SRCD, Petrilli A, Patiño-Garcia A, Lecanda F, Serra M, Hattinger C, Picci P, Scotlandi K, Flanagan A, Tirabosco R, Amary M, Kurucu N, Ilhan IE, Sari N, Ballinger M, Thomas D, Barkauskas D, Hicks B, Tucker M, Caporaso N, Hoover R, Chanock S, Savage S, Mirabello L. Abstract 4871: Whole-exome sequencing identifies a high frequency of germline deleterious variants in cancer predisposition genes in individuals with osteosarcoma. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-4871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
In children and adolescents, osteosarcoma (OS) is the most common malignant bone tumor. OS occurs in certain cancer predisposition syndromes at a higher than expected frequency. However, outside of these rare syndromes, OS is significantly more common and its genetic etiology remains poorly understood. We conducted an evaluation of rare exonic variants in 545 unselected OS cases compared with 1061 cancer-free controls using whole-exome sequencing of blood or buccal cell DNA to estimate the prevalence and burden of rare deleterious germline variants.
We assessed potentially pathogenic rare variants in 126 established cancer predisposing genes (CPG) and known somatically mutated genes. We also surveyed the exome for genes with a higher burden of rare variants in 342 EUR cases with 994 EUR controls sequenced at the same time. Rare genetic variants, defined by a MAF <0.01 in 1000G, ESP or ExAC, that passed quality control filters were classified based on well-annotated databases (IARC-TP53, Telomerase Database, ARUP, BIC, Insight and COSMIC-hotspots), variant databases (e.g. Clinvar, HGMD and LOVD), and in silico predictions (Sift, Polyphen, Mutation assessor, MutationTaster, FATHMM and LTR). Rare variants matching known pathogenic variants, or inexact matches at the same residue, in selected well-annotated databases were labeled as putative pathogenic variants. High impact variants (frameshift, stop gain/loss, or known splice sites) not matching a previously identified pathogenic variant in the selected databases were categorized as probably pathogenic. Predictions based solely on in silico predictions were categorized as possibly pathogenic, uncertain or likely benign.
A total of 14.5% of cases had a predicted pathogenic or high impact variant in an autosomal dominant CPG. A significantly higher pathogenic rare variant burden was present in EUR cases compared with EUR controls (Pburden=3.7x10-05). TP53 had the highest prevalence of pathogenic mutations (5% of EUR cases; Pburden=1.05x10-09). CDKN2A, MEN1, MLH1, MUTYH, PALB2 and VHL had a significantly higher rare variant burden in the EUR cases. 7.5% of cases had a predicted pathogenic or probably pathogenic variant in an autosomal recessive CPG (Pburden=5.4x10-03). Additionally, two males had a pathogenic variant in the X-linked genes, DKC1 and GPC3. In total, 21% of cases had a predicted pathogenic or high impact variant in a CPG (Pburden=2.4x10-07). Exome-wide analysis identified two novel genes with significantly higher rare variant burdens in the cases compared to controls.
In conclusion, several CPGs and two novel genes, not previously associated with OS, had an enrichment of rare variants in OS and warrant further follow-up. Our results indicate that a clinically significant fraction of OS cases may harbor one or more mutations worthy of consideration for further investigation and genetic counseling.
Citation Format: Roelof Koster, Bin Zhu, Meredith Yeager, Michael Dean, Matthew Gianferante, Lei Song, Joshua Sampson, NCI DCEG Cancer Genomics Research Laboratory, Julie Gastier-Foster, Richard Gorlick, Silvia Regina Caminada de Toledo, Antonio Petrilli, Ana Patiño-Garcia, Fernando Lecanda, Massimo Serra, Claudia Hattinger, Piero Picci, Katia Scotlandi, Adrienne Flanagan, Roberto Tirabosco, Maria Amary, Nilgün Kurucu, Inci Ergurhan Ilhan, Neriman Sari, Mandy Ballinger, David Thomas, Donald Barkauskas, Belynda Hicks, Margaret Tucker, Neil Caporaso, Robert Hoover, Stephen Chanock, Sharon Savage, Lisa Mirabello. Whole-exome sequencing identifies a high frequency of germline deleterious variants in cancer predisposition genes in individuals with osteosarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4871. doi:10.1158/1538-7445.AM2017-4871
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McMaster ML, Berndt SI, Li SA, Slager S, Vijai J, Chung CC, Zhu B, Burdette L, Birmann B, Brown EE, Cerhan JR, Ekstrom-Smedby K, Hjalgrim H, Kleinstern G, Link BK, McKay J, Monnereau A, Morton LM, Nieters A, Rothman N, Skibola CF, Smith A, Teras LR, Vajdic CM, Vermeulen R, Hicks B, Goldin LR, Caporaso NE. Abstract 1318: A genome-wide association study of Waldenström macroglobulinemia/lymphoplasmacytic lymphoma demonstrates association with chromosome 6. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-1318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Waldenström macroglobulinemia (WM) is a unique subset of lymphoplasmacytic lymphoma (LPL) that is defined by the presence of an LPL infiltrate in the bone marrow together with a monoclonal IgM protein in the serum. A somatic activating mutation, MYD88 L265P, occurs in 85+% of WM and in 25%-50% of patients with the precursor condition, IgM monoclonal gammopathy of undetermined significance (MGUS); however, germline MYD88 mutations have not been observed in WM patients, and the genetic basis for WM predisposition remains undefined. To identify novel WM susceptibility loci we conducted a two-stage genome-wide association study (GWAS) in over 450 WM cases and 4300 controls of European ancestry. Discovery (stage 1) included 217 WM cases (40% familial) and 3798 controls genotyped on the Illumina Omni Express or Illumina Omni2.5 platforms following standard quality control procedures. The genotyped data were imputed using the Haplotype Reference Consortium panel as a reference and analyzed using logistic regression. In stage 1, we identified three loci on chromosomes 6, 14 and 3 significantly associated (P<5.0x10-8) with risk of WM. Eleven promising SNPs in these and other suggestive loci (P<5.0x10-7) were selected for replication (stage 2) in 269 WM or LPL cases (4% familial) and 571 controls, and genotyping was conducted using standard methods on Taqman and Sequenom platforms or Sanger sequencing (1 SNP). Preliminary results confirm replication of the chromosome 6 locus. Stratification on familial status will illuminate the contribution of familial disease. These results will provide insight into the underlying genetic basis of WM susceptibility.
Citation Format: Mary L. McMaster, Sonja I. Berndt, Shengchao A. Li, Susan Slager, Joseph Vijai, Charles C. Chung, Bin Zhu, Laurie Burdette, Brenda Birmann, Elizabeth E. Brown, James R. Cerhan, Karin Ekstrom-Smedby, Henrik Hjalgrim, Geffen Kleinstern, Brian K. Link, James McKay, Alain Monnereau, Lindsay M. Morton, Alexandra Nieters, Nathaniel Rothman, Christine F. Skibola, Alex Smith, Lauren R. Teras, Claire M. Vajdic, Roel Vermeulen, Belynda Hicks, Lynn R. Goldin, Neil E. Caporaso. A genome-wide association study of Waldenström macroglobulinemia/lymphoplasmacytic lymphoma demonstrates association with chromosome 6 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1318. doi:10.1158/1538-7445.AM2017-1318
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Yang X(R, Devi B, Sung H, Guida J, Xiao Y, Garland L, Hu N, Rodriguez-Herrera M, Wang C, Jones K, Luo W, Hicks B, Tang TS, Moitra K, Dean M. Abstract 1294: Prevalence and spectrum of germline rare variants in BRCA1/2 and PALB2 among breast cancer cases in Sarawak, Malaysia. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-1294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Germline mutations in the BRCA1 and BRCA2 genes result in predisposition to breast and ovarian cancer. Detection of BRCA mutation carriers can lead to improved prevention and therapeutic interventions such as the targeted therapy using poly ADP ribose polymerase (PARP) inhibitors, which are particularly effective in BRCA mutation carriers. The spectrum of BRCA mutations varies depending on geographic origin, population, and ethnic group; however, the prevalence of BRCA mutations in non-Caucasian populations has been poorly characterized, particularly in a population-based setting. The goal of this study was to characterize the spectrum of germline mutations in BRCA1/2 and PALB2 in unselected breast cancer cases who were seen in Sarawak General Hospital, Malaysia, where 93% of the breast cancer patients in Sarawak are treated. We performed targeted sequencing using a validated AmpliSeq panel on 467 cases with available risk factor questionnaire and clinical follow-up data. Breast cancer subtypes were defined by the joint expression of ER, PR, and HER2. Common variants with frequency >1% in any public database (1000 Genome, Exome Sequencing Project, The Exome Aggregation Consortium) were excluded. Pathogenic variants included known pathogenic variants in ClinVar, loss of function variants (frameshift and stop-gain), and variants that alter the first or second base of the splice site. Variants of unknown significance (VUS) were also defined using the ClinVar classification. We found 10 BRCA1 pathogenic variants in 12 patients, 10 BRCA2 pathogenic variants in 15 patients, and 4 PALB2 pathogenic variants in 4 patients, which gave a BRCA mutation prevalence of 5.78% among the unselected breast cancer cases in this population. All these variants were extremely rare in the general population (<0.05%). Only 4 of them were recurrent variants (2 in BRCA1 and 2 in BRCA2) and all four are known variants that were reported previously in other populations. In addition, we identified a novel deleterious mutation (stop-gain) that has never been reported and a number of VUS variants in this population. Patients with pathogenic BRCA and PALB2 variants were associated with an earlier age at onset (7 years younger, p=0.0005), a positive family history (20% higher, p=0.01), and the triple-negative (TN) subtype (56% vs. 18%, p<0.0001), compared to patients without mutations. Mutation carrier cases had worse survival compared to non-carriers, however, the association was mostly driven by the higher frequency of TN in mutation carriers. Our study for the first time reported the prevalence of germline mutations in BRCA and PALB2 in a quasi-population-based case series unselected for age and family history in an under-studied Asian population. Our results may have important clinical implications for performing genetic testing on selected patients in a low-resource setting.
Citation Format: Xiaohong (Rose) Yang, Beena Devi, Hyuna Sung, Jennifer Guida, Yanzi Xiao, Lisa Garland, Nan Hu, Maria Rodriguez-Herrera, Chaoyu Wang, Kristine Jones, Wen Luo, Belynda Hicks, Tieng Swee Tang, Karobi Moitra, Mike Dean. Prevalence and spectrum of germline rare variants in BRCA1/2 and PALB2 among breast cancer cases in Sarawak, Malaysia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1294. doi:10.1158/1538-7445.AM2017-1294
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Gianferante M, Goldstein A, Wang M, Zhu B, Hicks B, Mirabello L. Abstract 4289: Whole-exome sequencing study of nevoid basal cell carcinoma syndrome (NBCCS) families to identify disease-causing exonic mutations. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-4289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
NBCCS is an autosomal dominant disorder with nearly complete penetrance and variable expression. Clinical findings include multiple basal cell carcinomas, keratocysts of the jaw, pits of the palms and/or soles, and more rarely medulloblastoma. The PTCH1 gene is the major NBCCS susceptibility gene; it regulates the sonic hedgehog (SHH) pathway. Here, we are evaluating mutations in unknown NBCCS families to identify potential disease-causing mutations.
Our study included specimens and clinical data from 21 NBCCS families. PTCH1 targeted sequencing and CGH array were previously performed. We subsequently whole-exome sequenced (WES) affected family members with no mutation detected from prior targeted analyses (N=9). We focused our analyses on rare variants of PTCH1, genes that directly interact with PTCH1, SHH pathway genes, and cancer predisposing genes. Variants were considered rare if minor allele frequency (MAF) was less than 1% in publicly available databases (ESP, ExAC, and 1000 genome), 1000 in-house population cancer-free controls, and an in-house database of approximately 2,000 familial samples that underwent WES in parallel with our NBCCS families. We used in-silico prediction models, variant impact on the protein (i.e., nonsynonymous, nonsense, frameshift, splice site), and public mutation databases to assess pathogenicity. Rare variants in PTCH1 were considered pathogenic if they were (a) previously reported as disease-causing in NBCCS, or (b) predicted high impact (ie, frameshift, nonsense mutation), or (c) predicted damaging by at least five of seven in-silico prediction programs (CADD, PolyPhen 2, SIFT, Assessor, Mutation Taster, LRT, FATHMM).
Ten families (N= 17 individuals) without a PTCH1 mutation were assessed with WES. WES identified PTCH1 mutations in six families. Overall, only one PTCH1 variant was previously reported (p.S732fs) in HGMD or ClinVar databases. Six novel variants were identified: three frameshifts, p.Y92fs, p.S732fs and p.T212fs; one nonsense, p.W862*; one nonsynonymous variant, p.E835K; and, one splice site variant, c.2716-2A>C. The nonsynonymous variant was a heterozygous C to T transversion (chromosome 9, position 98 229 452) and predicted damaging.
In the four families without a PTCH1 mutation, two separate families had a rare nonsynonymous variant in the same gene that directly interacts with PTCH1. Both variants had a MAF of less than 0.1%, but only one was predicted damaging. Another family had a rare nonsynonymous variant in a known cancer predisposing gene that was deleterious in five of seven in-silico prediction tools and found in both the proband and affected mother.
Overall, in our 21 NBCCS families, 81% had PTCH1 gene mutations detected with targeted sequencing, aCGH, or WES. Additionally, WES detected two potentially new disease-associated genes that we are currently evaluating further.
Citation Format: Matthew Gianferante, Alisa Goldstein, Mingyi Wang, Bin Zhu, Belynda Hicks, NCI DCEG Cancer Genomics Research Laboratory, Lisa Mirabello. Whole-exome sequencing study of nevoid basal cell carcinoma syndrome (NBCCS) families to identify disease-causing exonic mutations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4289. doi:10.1158/1538-7445.AM2017-4289
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Yang XR, Devi BCR, Sung H, Guida J, Mucaki EJ, Xiao Y, Best A, Garland L, Xie Y, Hu N, Rodriguez-Herrera M, Wang C, Jones K, Luo W, Hicks B, Tang TS, Moitra K, Rogan PK, Dean M. Prevalence and spectrum of germline rare variants in BRCA1/2 and PALB2 among breast cancer cases in Sarawak, Malaysia. Breast Cancer Res Treat 2017; 165:687-697. [PMID: 28664506 DOI: 10.1007/s10549-017-4356-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Accepted: 06/23/2017] [Indexed: 12/29/2022]
Abstract
PURPOSE To characterize the spectrum of germline mutations in BRCA1, BRCA2, and PALB2 in population-based unselected breast cancer cases in an Asian population. METHODS Germline DNA from 467 breast cancer patients in Sarawak General Hospital, Malaysia, where 93% of the breast cancer patients in Sarawak are treated, was sequenced for the entire coding region of BRCA1; BRCA2; PALB2; Exons 6, 7, and 8 of TP53; and Exons 7 and 8 of PTEN. Pathogenic variants included known pathogenic variants in ClinVar, loss of function variants, and variants that disrupt splice site. RESULTS We found 27 pathogenic variants (11 BRCA1, 10 BRCA2, 4 PALB2, and 2 TP53) in 34 patients, which gave a prevalence of germline mutations of 2.8, 3.23, and 0.86% for BRCA1, BRCA2, and PALB2, respectively. Compared to mutation non-carriers, BRCA1 mutation carriers were more likely to have an earlier age at onset, triple-negative subtype, and lower body mass index, whereas BRCA2 mutation carriers were more likely to have a positive family history. Mutation carrier cases had worse survival compared to non-carriers; however, the association was mostly driven by stage and tumor subtype. We also identified 19 variants of unknown significance, and some of them were predicted to alter splicing or transcription factor binding sites. CONCLUSION Our data provide insight into the genetics of breast cancer in this understudied group and suggest the need for modifying genetic testing guidelines for this population with a much younger age at diagnosis and more limited resources compared with Caucasian populations.
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Wang Y, Wang T, Dagnall C, Haagenson M, Spellman SR, Hicks B, Jones K, Lee SJ, Savage SA, Gadalla SM. Relative Telomere Length before Hematopoietic Cell Transplantation and Outcome after Unrelated Donor Hematopoietic Cell Transplantation for Acute Leukemia. Biol Blood Marrow Transplant 2017; 23:1054-1058. [PMID: 28389255 DOI: 10.1016/j.bbmt.2017.03.032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 03/25/2017] [Indexed: 10/19/2022]
Abstract
Telomeres are tandem nucleotide repeats and a protein complex located at the end of the chromosomes maintaining genomic stability. Their potential as a predictive biomarker for outcomes after allogeneic hematopoietic cell transplant (HCT) in hematologic malignancies is still unclear. From the Center for International Blood and Marrow Transplant Research we randomly selected 536 acute leukemia patients from those who underwent myeloablative 8/8 HLA-matched unrelated donor HCT between 2005 and 2012 and who had an available pre-HCT blood sample in the repository. Relative telomere length (RTL) was measured by real-time quantitative PCR. We used Kaplan-Meier and competing risk estimators to calculate survival probability and cumulative incidence, respectively, across patient RTL tertiles. Cox proportional hazard regression was used for adjusted analyses. The study included 396 acute myeloid leukemia (AML) and 140 acute lymphoblastic leukemia (ALL) patients. Median age at HCT was 41 years (range, .5 to 66), and median follow-up for survivors was 5.1 years (range, .4 to 8.3). Significant inverse correlations between age and RTL were observed in patients with AML (r = -.44, P < .0001) and ALL (r = -.48, P < .0001). Patients with ALL had longer RTL than those with AML (.48 versus .43, respectively); the difference was not statistically significant after adjusting for patient age (P = .96). Pre-HCT RTL in acute leukemia patients was not statistically significantly associated with overall survival (HR for longest RTL compared with shortest, .91; 95% CI, .65 to 1.28), disease-free survival (HR, .90; 95% CI, .64 to 1.25), transplant-related mortality (HR, .97; 95% CI, .60 to 1.59), incidence of relapse (HR, .89; 95% CI, .56 to 1.40), neutrophil engraftment (HR, 1.06; 95% CI, .85 to 1.32), or grades II to IV acute graft-versus-host disease (HR, 1.11; 95% CI, .81 to 1.53), grades III-IV acute graft-versus-host disease (HR, .92; 95% CI, .54 to 1.59), and chronic graft-versus-host disease (HR, 1.10; 95% CI, .81 to 1.50). In this study, recipient pre-HCT RTL had no prognostic role in post-transplant outcomes in acute leukemia patients.
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Wang Y, Wang T, Dagnall C, Haagenson M, Spellman S, Hicks B, Jones K, Lee SJ, Savage SA, Gadalla S. Recipient Pre-HCT Telomere Length and Outcomes after Unrelated Donor HCT for Acute Leukemia. Biol Blood Marrow Transplant 2017. [DOI: 10.1016/j.bbmt.2016.12.226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Seow WJ, Matsuo K, Hsiung CA, Shiraishi K, Song M, Kim HN, Wong MP, Hong YC, Hosgood HD, Wang Z, Chang IS, Wang JC, Chatterjee N, Tucker M, Wei H, Mitsudomi T, Zheng W, Kim JH, Zhou B, Caporaso NE, Albanes D, Shin MH, Chung LP, An SJ, Wang P, Zheng H, Yatabe Y, Zhang XC, Kim YT, Shu XO, Kim YC, Bassig BA, Chang J, Ho JCM, Ji BT, Kubo M, Daigo Y, Ito H, Momozawa Y, Ashikawa K, Kamatani Y, Honda T, Sakamoto H, Kunitoh H, Tsuta K, Watanabe SI, Nokihara H, Miyagi Y, Nakayama H, Matsumoto S, Tsuboi M, Goto K, Yin Z, Shi J, Takahashi A, Goto A, Minamiya Y, Shimizu K, Tanaka K, Wu T, Wei F, Wong JY, Matsuda F, Su J, Kim YH, Oh IJ, Song F, Lee VHF, Su WC, Chen YM, Chang GC, Chen KY, Huang MS, Yang PC, Lin HC, Xiang YB, Seow A, Park JY, Kweon SS, Chen CJ, Li H, Gao YT, Wu C, Qian B, Lu D, Liu J, Jeon HS, Hsiao CF, Sung JS, Tsai YH, Jung YJ, Guo H, Hu Z, Wang WC, Chung CC, Lawrence C, Burdett L, Yeager M, Jacobs KB, Hutchinson A, Berndt SI, He X, Wu W, Wang J, Li Y, Choi JE, Park KH, Sung SW, Liu L, Kang CH, Hu L, Chen CH, Yang TY, Xu J, Guan P, Tan W, Wang CL, Sihoe ADL, Chen Y, Choi YY, Hung JY, Kim JS, Yoon HI, Cai Q, Lin CC, Park IK, Xu P, Dong J, Kim C, He Q, Perng RP, Chen CY, Vermeulen R, Wu J, Lim WY, Chen KC, Chan JK, Chu M, Li YJ, Li J, Chen H, Yu CJ, Jin L, Lo YL, Chen YH, Fraumeni JF, Liu J, Yamaji T, Yang Y, Hicks B, Wyatt K, Li SA, Dai J, Ma H, Jin G, Song B, Wang Z, Cheng S, Li X, Ren Y, Cui P, Iwasaki M, Shimazu T, Tsugane S, Zhu J, Jiang G, Fei K, Wu G, Chien LH, Chen HL, Su YC, Tsai FY, Chen YS, Yu J, Stevens VL, Laird-Offringa IA, Marconett CN, Lin D, Chen K, Wu YL, Landi MT, Shen H, Rothman N, Kohno T, Chanock SJ, Lan Q. Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations. Hum Mol Genet 2017; 26:454-465. [PMID: 28025329 PMCID: PMC5856088 DOI: 10.1093/hmg/ddw414] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 11/29/2016] [Accepted: 12/05/2016] [Indexed: 01/12/2023] Open
Abstract
To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping in an additional 10,780 never-smoking cases and 10,938 never-smoking controls from Asia confirmed associations with eight known single nucleotide polymorphisms (SNPs). Two new signals were observed at genome-wide significance (P < 5 × 10-8), namely, rs7216064 (17q24.3, BPTF), for overall lung adenocarcinoma risk, and rs3817963 (6p21.3, BTNL2) which is specific to cases with EGFR mutations. In further sub-analyses by EGFR status, rs9387478 (ROS1/DCBLD1) and rs2179920 (HLA-DPB1) showed stronger estimated associations in EGFR-positive compared to EGFR-negative cases. Comparison of the overall associations with published results in Western populations revealed that the majority of these findings were distinct, underscoring the importance of distinct contributing factors for smoking and non-smoking lung cancer. Our results extend the catalogue of regions associated with lung adenocarcinoma in non-smoking Asian women and highlight the importance of how the germline could inform risk for specific tumour mutation patterns, which could have important translational implications.
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Karyadi DM, Geybels MS, Karlins E, Decker B, McIntosh L, Hutchinson A, Kolb S, McDonnell SK, Hicks B, Middha S, FitzGerald LM, DeRycke MS, Yeager M, Schaid DJ, Chanock SJ, Thibodeau SN, Berndt SI, Stanford JL, Ostrander EA. Whole exome sequencing in 75 high-risk families with validation and replication in independent case-control studies identifies TANGO2, OR5H14, and CHAD as new prostate cancer susceptibility genes. Oncotarget 2017; 8:1495-1507. [PMID: 27902461 PMCID: PMC5341753 DOI: 10.18632/oncotarget.13646] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 11/07/2016] [Indexed: 12/30/2022] Open
Abstract
Prostate cancer (PCa) susceptibility is defined by a continuum from rare, high-penetrance to common, low-penetrance alleles. Research to date has concentrated on identification of variants at the ends of that continuum. Taking an alternate approach, we focused on the important but elusive class of low-frequency, moderately penetrant variants by performing disease model-based variant filtering of whole exome sequence data from 75 hereditary PCa families. Analysis of 341 candidate risk variants identified nine variants significantly associated with increased PCa risk in a population-based, case-control study of 2,495 men. In an independent nested case-control study of 7,121 men, there was risk association evidence for TANGO2 p.Ser17Ter and the established HOXB13 p.Gly84Glu variant. Meta-analysis combining the case-control studies identified two additional variants suggestively associated with risk, OR5H14 p.Met59Val and CHAD p.Ala342Asp. The TANGO2 and HOXB13 variants co-occurred in cases more often than expected by chance and never in controls. Finally, TANGO2 p.Ser17Ter was associated with aggressive disease in both case-control studies separately. Our analyses identified three new PCa susceptibility alleles in the TANGO2, OR5H14 and CHAD genes that not only segregate in multiple high-risk families but are also of importance in altering disease risk for men from the general population. This is the first successful study to utilize sequencing in high-risk families for the express purpose of identifying low-frequency, moderately penetrant PCa risk mutations.
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Shi J, Hua X, Zhu B, Ravichandran S, Wang M, Nguyen C, Brodie SA, Palleschi A, Alloisio M, Pariscenti G, Jones K, Zhou W, Bouk AJ, Boland J, Hicks B, Risch A, Bennett H, Luke BT, Song L, Duan J, Liu P, Kohno T, Chen Q, Meerzaman D, Marconett C, Laird-Offringa I, Mills I, Caporaso NE, Gail MH, Pesatori AC, Consonni D, Bertazzi PA, Chanock SJ, Landi MT. Somatic Genomics and Clinical Features of Lung Adenocarcinoma: A Retrospective Study. PLoS Med 2016; 13:e1002162. [PMID: 27923066 PMCID: PMC5140047 DOI: 10.1371/journal.pmed.1002162] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 09/23/2016] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) is the most common histologic subtype of lung cancer and has a high risk of distant metastasis at every disease stage. We aimed to characterize the genomic landscape of LUAD and identify mutation signatures associated with tumor progression. METHODS AND FINDINGS We performed an integrative genomic analysis, incorporating whole exome sequencing (WES), determination of DNA copy number and DNA methylation, and transcriptome sequencing for 101 LUAD samples from the Environment And Genetics in Lung cancer Etiology (EAGLE) study. We detected driver genes by testing whether the nonsynonymous mutation rate was significantly higher than the background mutation rate and replicated our findings in public datasets with 724 samples. We performed subclonality analysis for mutations based on mutant allele data and copy number alteration data. We also tested the association between mutation signatures and clinical outcomes, including distant metastasis, survival, and tumor grade. We identified and replicated two novel candidate driver genes, POU class 4 homeobox 2 (POU4F2) (mutated in 9 [8.9%] samples) and ZKSCAN1 (mutated in 6 [5.9%] samples), and characterized their major deleterious mutations. ZKSCAN1 was part of a mutually exclusive gene set that included the RTK/RAS/RAF pathway genes BRAF, EGFR, KRAS, MET, and NF1, indicating an important driver role for this gene. Moreover, we observed strong associations between methylation in specific genomic regions and somatic mutation patterns. In the tumor evolution analysis, four driver genes had a significantly lower fraction of subclonal mutations (FSM), including TP53 (p = 0.007), KEAP1 (p = 0.012), STK11 (p = 0.0076), and EGFR (p = 0.0078), suggesting a tumor initiation role for these genes. Subclonal mutations were significantly enriched in APOBEC-related signatures (p < 2.5×10-50). The total number of somatic mutations (p = 0.0039) and the fraction of transitions (p = 5.5×10-4) were associated with increased risk of distant metastasis. Our study's limitations include a small number of LUAD patients for subgroup analyses and a single-sample design for investigation of subclonality. CONCLUSIONS These data provide a genomic characterization of LUAD pathogenesis and progression. The distinct clonal and subclonal mutation signatures suggest possible diverse carcinogenesis pathways for endogenous and exogenous exposures, and may serve as a foundation for more effective treatments for this lethal disease. LUAD's high heterogeneity emphasizes the need to further study this tumor type and to associate genomic findings with clinical outcomes.
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Shi J, Zhou W, Zhu B, Hyland PL, Bennett H, Xiao Y, Zhang X, Burke LS, Song L, Hsu CH, Yan C, Chen Q, Meerzaman D, Dagnall CL, Burdette L, Hicks B, Freedman ND, Chanock SJ, Yeager M, Tucker MA, Goldstein AM, Yang XR. Rare Germline Copy Number Variations and Disease Susceptibility in Familial Melanoma. J Invest Dermatol 2016; 136:2436-2443. [PMID: 27476724 PMCID: PMC5123914 DOI: 10.1016/j.jid.2016.07.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 06/02/2016] [Accepted: 07/05/2016] [Indexed: 01/12/2023]
Abstract
Mounting evidence suggests that copy number variations (CNVs) can contribute to cancer susceptibility. The main goal of this study was to evaluate the role of germline CNVs in melanoma predisposition in high-risk melanoma families. We used genome-wide tiling comparative genomic hybridization and single nucleotide polymorphism arrays to characterize CNVs in 335 individuals (240 melanoma cases) from American melanoma-prone families (22 with germline CDKN2A or CDK4 mutations). We found that the global burden of overall CNVs (or deletions or duplications separately) was not significantly associated with case-control or CDKN2A/CDK4 mutation status after accounting for the familial dependence. However, we identified several rare CNVs that either involved known melanoma genes (e.g., PARP1, CDKN2A) or cosegregated with melanoma (duplication on 10q23.23, 3p12.2 and deletions on 8q424.3, 2q22.1) in families without mutations in known melanoma high-risk genes. Some of these CNVs were correlated with expression changes in disrupted genes based on RNASeq data from a subset of melanoma cases included in the CNV study. These results suggest that rare cosegregating CNVs may influence melanoma susceptibility in some melanoma-prone families and genes found in our study warrant further evaluation in future genetic analyses of melanoma.
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Yang XR, Rotunno M, Xiao Y, Ingvar C, Helgadottir H, Pastorino L, van Doorn R, Bennett H, Graham C, Sampson JN, Malasky M, Vogt A, Zhu B, Bianchi-Scarra G, Bruno W, Queirolo P, Fornarini G, Hansson J, Tuominen R, Burdett L, Hicks B, Hutchinson A, Jones K, Yeager M, Chanock SJ, Landi MT, Höiom V, Olsson H, Gruis N, Ghiorzo P, Tucker MA, Goldstein AM. Multiple rare variants in high-risk pancreatic cancer-related genes may increase risk for pancreatic cancer in a subset of patients with and without germline CDKN2A mutations. Hum Genet 2016; 135:1241-1249. [PMID: 27449771 PMCID: PMC5152573 DOI: 10.1007/s00439-016-1715-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 07/16/2016] [Indexed: 12/29/2022]
Abstract
The risk of pancreatic cancer (PC) is increased in melanoma-prone families but the causal relationship between germline CDKN2A mutations and PC risk is uncertain, suggesting the existence of non-CDKN2A factors. One genetic possibility involves patients having mutations in multiple high-risk PC-related genes; however, no systematic examination has yet been conducted. We used next-generation sequencing data to examine 24 putative PC-related genes in 43 PC patients with and 23 PC patients without germline CDKN2A mutations and 1001 controls. For each gene and the four pathways in which they occurred, we tested whether PC patients (overall or CDKN2A+ and CDKN2A- cases separately) had an increased number of rare nonsynonymous variants. Overall, we identified 35 missense variants in PC patients, 14 in CDKN2A+ and 21 in CDKN2A- PC cases. We found nominally significant associations for mismatch repair genes (MLH1, MSH2, MSH6, PMS2) in all PC patients and for ATM, CPA1, and PMS2 in CDKN2A- PC patients. Further, nine CDKN2A+ and four CDKN2A- PC patients had rare potentially deleterious variants in multiple PC-related genes. Loss-of-function variants were only observed in CDKN2A- PC patients, with ATM having the most pathogenic variants. Also, ATM variants (n = 5) were only observed in CDKN2A- PC patients with a family history that included digestive system tumors. Our results suggest that a subset of PC patients may have increased risk because of germline mutations in multiple PC-related genes.
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