Literature DB >> 29661970

Consensus for genes to be included on cancer panel tests offered by UK genetics services: guidelines of the UK Cancer Genetics Group.

Amy Taylor1, Angela F Brady2, Ian M Frayling3,4, Helen Hanson5, Marc Tischkowitz1,6, Clare Turnbull7,8,9, Lucy Side10.   

Abstract

Genetic testing for hereditary cancer predisposition has evolved rapidly in recent years with the discovery of new genes, but there is much debate over the clinical utility of testing genes for which there are currently limited data regarding the degree of associated cancer risk. To address the discrepancies that have arisen in the provision of these tests across the UK, the UK Cancer Genetics Group facilitated a 1-day workshop with representation from the majority of National Health Service (NHS) clinical genetics services. Using a preworkshop survey followed by focused discussion of genes without prior majority agreement for inclusion, we achieved consensus for panels of cancer genes with sufficient evidence for clinical utility, to be adopted by all NHS genetics services. To support consistency in the delivery of these tests and advice given to families across the country, we also developed management proposals for individuals who are found to have pathogenic mutations in these genes. However, we fully acknowledge that the decision regarding what test is most appropriate for an individual family rests with the clinician, and will depend on factors including specific phenotypic features and the family structure. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  cancer: breast; cancer: colon; clinical genetics; diagnostics tests; genetic screening/counselling

Mesh:

Year:  2018        PMID: 29661970      PMCID: PMC5992364          DOI: 10.1136/jmedgenet-2017-105188

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


Background

National Health Service (NHS) clinical genetics services have in recent years taken advantage of the discovery of new genes and emerging evidence for associated cancer predisposition to carry out more extensive genetic testing via cancer gene panels, aiming to provide information and tailored management for more families with a hereditary cancer predisposition. However, there is much debate over the utility of testing genes for which there exist limited data regarding impact on cancer risk,1 and the gradual evolution of these panels has led to discrepancies in the genes tested by different laboratories. This has resulted in differences between what is offered to patients, as well as difficulty in managing families where relatives are located in different parts of the country. For example, a relative may find that testing for the gene identified in their family is not offered in their region, or may be given different advice about risk management from that given to a relative with the same genetic variant. To address this, the UK Cancer Genetics Group (UK-CGG), supported by the UK Genetic Testing Network (UKGTN), facilitated a 1-day workshop to achieve consensus for panels of cancer genes with clear clinical utility, to be adopted by all NHS genetics services. In addition, consensus guidelines for the management of individuals with pathogenic variants in these genes were subsequently developed.

Methods

Scope

The workshop focused on panels of genes for breast cancer, ovarian cancer, colorectal cancer and polyposis. These were selected as the most commonly used panels and also those with the largest discrepancies regarding inclusion of genes.

Participants

Invitations were sent to the lead cancer clinicians at each of the 24 UK genetics services, and if unable to attend they were given the option to send a colleague in their place. All but two services were represented at the workshop. Also represented were clinical scientists from NHS genetics laboratories currently offering cancer panel tests, genetic counsellors with a specialist interest in cancer genetics, and representatives from UKGTN, UK-CGG and Genomics England.

Preworkshop survey

Lists of potential genes were compiled from panel tests currently on offer at both NHS and private laboratories. Workshop participants were surveyed for their opinions on the inclusion of each gene prior to the workshop, in order to focus discussion on genes where inclusion was most contentious. Genes were deemed to have majority agreement if >75% of participants said they should be included.

Presentation of evidence for and against inclusion of genes

Based on their survey responses, workshop participants were asked to present either for or against the inclusion of genes with <75% prior agreement. Those presenting in favour of inclusion were also asked to present management proposals for families where a pathogenic variant was identified (see online supplementary information 1).

Discussion groups

Participants were divided into three groups to discuss breast cancer, epithelial ovarian cancer and colorectal cancer/polyposis gene panels. Each group formulated a proposed panel based on the evidence presented, which was then presented to the full workshop, openly discussed and agreed. The focus of discussion was on the clinical utility of identifying pathogenic variants in each gene, but practical considerations of testing specific genes were also taken into account.

Meeting report

The agreed cancer panels were circulated to all attendees following the workshop and were presented at the UK-CGG Spring Meeting 2017 for further comment. The manuscript was also circulated to the attendees. It should be noted that this report is a summary of the workshop, and therefore does not necessarily represent the opinions of individual attendees or genetics services.

Results and discussion

Responses were received from 78% (25/32) of the clinicians and clinical scientists who were invited to complete the survey (see online supplementary information 2). The survey asked separate questions about inclusion of genes on breast cancer, ovarian cancer, colorectal cancer and polyposis panels. The results for colorectal cancer and polyposis panels overlapped completely, reflecting the recognised overlap in phenotypes2 and indicating that this should be established as a single panel. Genes with majority agreement (>75%) for each panel were as follows: breast cancer: BRCA1, BRCA2, PALB2, PTEN, STK11, TP53 ovarian cancer: BRCA1, BRCA2, MLH1, MSH2, MSH6, PMS2, RAD51C, RAD51D colorectal cancer/polyposis: APC, MUTYH, SMAD4, BMPR1A, MLH1, MSH2, MSH6, PMS2, EPCAM (deletion of exons 8–9), POLE, POLD1, STK11.

Genes included or excluded following presentation of evidence and discussion

Breast cancer panel

It was agreed to include ATM and CHEK2, which both confer a moderately increased risk of breast cancer,1 3 but concerns about the interpretation of results for these genes led to the recommendation that only truncating variants should be reported,4 in addition to ATM c.7217T>G p.(Val2424Gly), which is recognised as conferring a higher risk of breast cancer.5 Insufficient evidence was found for a significant risk of breast cancer associated with NBN,6 BRIP1 7 or BARD1,6 so these were excluded from the panel. CDH1 was also excluded due to its relevance only in cases of lobular breast cancer, and the considerable difficulty presented by interpreting variants in families with no history of lobular breast cancer or diffuse gastric cancer.8 However, testing for CDH1 should be available for relevant cases and offered according to the current guidelines.9 It was noted that the inclusion of SNPs associated with breast cancer risk10 will need to be considered in future, but will be more relevant to predicting risk in unaffected individuals rather than genetic testing of individuals with cancer.11

Ovarian cancer panel

It was agreed to include BRIP1, which confers sufficient risk of ovarian cancer such that prophylactic bilateral salpingo-oophorectomy is considered.12 Insufficient evidence was found for a significant risk of ovarian cancer associated with the EPCAM deletion,13 TP53 14 and also PMS2, which originally had majority agreement in the survey, but was excluded when new data were taken into account.15 STK11 was also excluded since mutations are associated only with a rare type of ovarian cancer—sex cord tumours with annular tubules—so testing on a gene panel primarily intended for individuals with epithelial ovarian cancer was not considered appropriate. For a review of genes to consider in rare non-epithelial ovarian neoplasms, see Foulkes et al.16

Colorectal cancer/polyposis panel

Only two genes did not secure majority agreement for inclusion—GREM1 (upstream duplication) and NTHL1—although the survey results suggested respondents were unsure about these genes rather than that they disagreed with their inclusion. Following discussion it was agreed that both these genes could be included, but this should be optional since the GREM1 upstream duplication has to date only been reported in individuals with Ashkenazi Jewish ancestry, and the frequency of pathogenic mutations in NTHL1 is low.17 A summary of the agreed panels is given in table 1.
Table 1

Agreed panels

Breast cancerOvarian cancerColorectal cancer/polyposis
ATM* BRCA1 BRCA2 CHEK2 PALB2 PTEN STK11 TP53 BRCA1 BRCA2 BRIP1 MLH1 MSH2 MSH6 RAD51C RAD51D APC BMPR1A EPCAM (del exons 8–9) GREM1 (upstream dup)‡ MLH1 MSH2 MSH6 MUTYH NTHL1 PMS2 POLE POLD1 PTEN SMAD4 STK11

*Truncating variants plus ATM c.7271T>G, p.(Val2424Gly).

†Truncating variants.

‡Optional.

Agreed panels *Truncating variants plus ATM c.7271T>G, p.(Val2424Gly). †Truncating variants. ‡Optional.

Expected standard of analysis

It is expected that analysis will include sequencing of the coding region and intron/exon boundaries of each gene, except for EPCAM and GREM1, where only the common del/dup need be tested for. It is expected that copy number analysis to detect exonic deletions and duplications from sequencing data will be possible in the near future, but in the meantime this analysis should be carried out separately for the key genes BRCA1, BRCA2, APC, MLH1, MSH2, MSH6 and PMS2. For other genes, copy number analysis can be added where possible, but if not included this must be made clear on the report.

Management proposals

One of the key aims of this consultation was to improve consistency of service delivery across the UK, and it was recognised that this extends to the management of individuals found to have pathogenic variants, as well as which genes are included on each panel. Although the level of evidence for some of the included genes makes the establishment of firm guidelines challenging, it was agreed that pragmatic management proposals would be of benefit to the UK cancer genetics community. These are summarised in table 2.
Table 2

Management proposals.

Breast cancer genes
GeneBreast cancer risk managementReferences
ATM*†12–18 monthly mammography from 40 to 50 depending on family history, then NHSBSP For c.7271T>G consider BRCA-equivalentAtaxia-telangiectasia in children: guidance on diagnosis and clinical care18 Protocols for the surveillance of women at higher risk of developing breast cancer, Public Health England19
BRCA1 As per national guidelinesNICE CG16420
BRCA2 As per national guidelinesNICE CG16420
CHEK2†‡12-monthly mammography from 40 to 50, then NHSBSP For homozygotes consider BRCA-equivalentTung et al 21
PALB2Consider BRCA-equivalentTung et al 21
PTEN§Consider BRCA-equivalentUK-CGG guidelines for management of tumour risk in PTEN hamartoma syndrome22
STK11 Consider BRCA-equivalentBeggs et al 23
TP53 As per national guidelinesNICE CG16420

*The Ataxia Telangiectasia guidelines recommend 18-monthly mammography, but where ATM pathogenic variants are identified in the context of a significant family history of breast cancer it is reasonable to offer annual mammography, bringing this into line with CHEK2 mutation carriers who have a similar risk. The guidelines do not give specific recommendations for the c.7271T>G variant so this is pragmatic, based on the evidence indicating this variant confers a much higher risk.

†For ATM, CHEK2 and PALB2 consider using BOADICEA to guide risk management.24

‡These recommendations include mammography and/or breast MRI. Given that the risk for CHEK2 c.1100delC is well defined, it is reasonable to offer mammography rather than MRI. There is much weaker evidence for other CHEK2 variants, but it seems reasonable to use the same protocol for these until further data emerge.

§These recommendations include mammography and/or breast MRI. As there is good evidence that the PALB2 risk is influenced by other factors such as family history, it would be reasonable to offer BRCA-equivalent surveillance to those women ascertained via family history clinics (where there is a strong family history) but to consider less intense surveillance in those women with no significant family history (eg, an incidental finding).

BOADICEA, Breast  and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm; BSO, bilateral salpingo-oophorectomy; NHSBSP, National Health Service Breast Screening Programme; NICE,  National Institute for Health and Care Excellence;  TAH, total abdominal hysterectomy; UK-CGG, UK Cancer Genetics Group.

Management proposals. *The Ataxia Telangiectasia guidelines recommend 18-monthly mammography, but where ATM pathogenic variants are identified in the context of a significant family history of breast cancer it is reasonable to offer annual mammography, bringing this into line with CHEK2 mutation carriers who have a similar risk. The guidelines do not give specific recommendations for the c.7271T>G variant so this is pragmatic, based on the evidence indicating this variant confers a much higher risk. †For ATM, CHEK2 and PALB2 consider using BOADICEA to guide risk management.24 ‡These recommendations include mammography and/or breast MRI. Given that the risk for CHEK2 c.1100delC is well defined, it is reasonable to offer mammography rather than MRI. There is much weaker evidence for other CHEK2 variants, but it seems reasonable to use the same protocol for these until further data emerge. §These recommendations include mammography and/or breast MRI. As there is good evidence that the PALB2 risk is influenced by other factors such as family history, it would be reasonable to offer BRCA-equivalent surveillance to those women ascertained via family history clinics (where there is a strong family history) but to consider less intense surveillance in those women with no significant family history (eg, an incidental finding). BOADICEA, Breast  and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm; BSO, bilateral salpingo-oophorectomy; NHSBSP, National Health Service Breast Screening Programme; NICE,  National Institute for Health and Care Excellence;  TAH, total abdominal hysterectomy; UK-CGG, UK Cancer Genetics Group.

Conclusion

Consensus was achieved at the workshop for genes to be included on panel tests for breast cancer, ovarian cancer and colorectal cancer/polyposis. Clinical entry points and testing criteria have not been addressed here since these are currently being developed by NHS England. It was recognised that when resources are limited there is a tension between investing in panel tests as opposed to testing a smaller number of genes with wider testing criteria. However, the cost of panel testing is dropping rapidly so that in the near future it will likely become more efficient to carry out panel testing on all patients with selective analysis of genes according to testing indication. From a technical point of view, this will be most expedient when panel tests can reliably detect all large (exonic) deletions and duplications as well as sequence variants. It was also recognised that access to and funding for panel tests currently vary across the UK, but it is hoped that one of the outcomes of this consultation will be improved consistency, providing centres with a standard of testing to work towards. However, this aim for consistency is not intended to over-ride a clinician’s choice to target specific genes they consider most relevant to a particular family rather than offering a gene panel in every case. One factor clinicians will take into account is that testing a larger number of genes will result in finding more variants of uncertain significance, which carries a cost in the time spent interpreting and explaining the results, and can leave families with more questions than answers. It is essential that these are collated centrally so that a shared understanding of their significance can be reached more rapidly and consistent information is conveyed to families. It is because of the current challenges in interpreting variants of uncertain significance that at present we have recommended the reporting of only truncating variants in ATM and CHEK2. However, as these genes become better understood, it will no doubt emerge that some missense variants also confer an increased risk of breast cancer, and it is possible that some could be higher penetrance alleles similar to ATM c.7271T>G. Another factor is that particularly in breast cancer families, finding a pathogenic variant in a moderate risk gene in the context of a high-risk family history does not always aid clinical management, since the variant cannot be assumed to account for all of the genetic risks in the family. Hence offering testing to unaffected close relatives may not be informative in helping to advise them about their level of risk and guide decision-making around risk management. However, these variants can be used to identify more distantly related individuals (eg, those related via intervening unaffected women) who are at moderately increased risk and would not have previously been eligible for additional breast screening. Therefore the decision about whether to offer panel testing will often depend on the family structure and whether there are unaffected individuals to whom the information will be relevant. It is important to note that this is a rapidly evolving field, and these recommendations will need to be revisited as further evidence emerges for inherited cancer risk. We plan to review the gene lists annually, and any updates will be posted on the UK-CGG website (http://www.ukcgg.org). In particular, the advent of routine tumour sequencing in cancer diagnosis and the move to whole genome sequencing and interrogation of virtual panels will change the contexts and capabilities of germline panel testing. As the technological barriers in sequencing are largely overcome, the importance of testing genes only where there is rigorous clinical evidence will become ever more critical.
  25 in total

Review 1.  Guidelines for colorectal cancer screening and surveillance in moderate and high risk groups (update from 2002).

Authors:  Stuart R Cairns; John H Scholefield; Robert J Steele; Malcolm G Dunlop; Huw J W Thomas; Gareth D Evans; Jayne A Eaden; Matthew D Rutter; Wendy P Atkin; Brian P Saunders; Anneke Lucassen; Paul Jenkins; Peter D Fairclough; Christopher R J Woodhouse
Journal:  Gut       Date:  2010-05       Impact factor: 23.059

Review 2.  EPCAM deletion carriers constitute a unique subgroup of Lynch syndrome patients.

Authors:  Marjolijn J L Ligtenberg; Roland P Kuiper; Ad Geurts van Kessel; Nicoline Hoogerbrugge
Journal:  Fam Cancer       Date:  2013-06       Impact factor: 2.375

3.  Peutz-Jeghers syndrome: a systematic review and recommendations for management.

Authors:  A D Beggs; A R Latchford; H F A Vasen; G Moslein; A Alonso; S Aretz; L Bertario; I Blanco; S Bülow; J Burn; G Capella; C Colas; W Friedl; P Møller; F J Hes; H Järvinen; J-P Mecklin; F M Nagengast; Y Parc; R K S Phillips; W Hyer; M Ponz de Leon; L Renkonen-Sinisalo; J R Sampson; A Stormorken; S Tejpar; H J W Thomas; J T Wijnen; S K Clark; S V Hodgson
Journal:  Gut       Date:  2010-07       Impact factor: 23.059

4.  Targeted massively parallel sequencing of a panel of putative breast cancer susceptibility genes in a large cohort of multiple-case breast and ovarian cancer families.

Authors:  Jun Li; Huong Meeks; Bing-Jian Feng; Sue Healey; Heather Thorne; Igor Makunin; Jonathan Ellis; Ian Campbell; Melissa Southey; Gillian Mitchell; David Clouston; Judy Kirk; David Goldgar; Georgia Chenevix-Trench
Journal:  J Med Genet       Date:  2015-11-03       Impact factor: 6.318

5.  Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer.

Authors:  Fergus J Couch; Hermela Shimelis; Chunling Hu; Steven N Hart; Eric C Polley; Jie Na; Emily Hallberg; Raymond Moore; Abigail Thomas; Jenna Lilyquist; Bingjian Feng; Rachel McFarland; Tina Pesaran; Robert Huether; Holly LaDuca; Elizabeth C Chao; David E Goldgar; Jill S Dolinsky
Journal:  JAMA Oncol       Date:  2017-09-01       Impact factor: 31.777

6.  No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing.

Authors:  Douglas F Easton; Fabienne Lesueur; Brennan Decker; Kyriaki Michailidou; Jun Li; Jamie Allen; Craig Luccarini; Karen A Pooley; Mitul Shah; Manjeet K Bolla; Qin Wang; Joe Dennis; Jamil Ahmad; Ella R Thompson; Francesca Damiola; Maroulio Pertesi; Catherine Voegele; Noura Mebirouk; Nivonirina Robinot; Geoffroy Durand; Nathalie Forey; Robert N Luben; Shahana Ahmed; Kristiina Aittomäki; Hoda Anton-Culver; Volker Arndt; Caroline Baynes; Matthias W Beckman; Javier Benitez; David Van Den Berg; William J Blot; Natalia V Bogdanova; Stig E Bojesen; Hermann Brenner; Jenny Chang-Claude; Kee Seng Chia; Ji-Yeob Choi; Don M Conroy; Angela Cox; Simon S Cross; Kamila Czene; Hatef Darabi; Peter Devilee; Mikael Eriksson; Peter A Fasching; Jonine Figueroa; Henrik Flyger; Florentia Fostira; Montserrat García-Closas; Graham G Giles; Gord Glendon; Anna González-Neira; Pascal Guénel; Christopher A Haiman; Per Hall; Steven N Hart; Mikael Hartman; Maartje J Hooning; Chia-Ni Hsiung; Hidemi Ito; Anna Jakubowska; Paul A James; Esther M John; Nichola Johnson; Michael Jones; Maria Kabisch; Daehee Kang; Veli-Matti Kosma; Vessela Kristensen; Diether Lambrechts; Na Li; Annika Lindblom; Jirong Long; Artitaya Lophatananon; Jan Lubinski; Arto Mannermaa; Siranoush Manoukian; Sara Margolin; Keitaro Matsuo; Alfons Meindl; Gillian Mitchell; Kenneth Muir; Ines Nevelsteen; Ans van den Ouweland; Paolo Peterlongo; Sze Yee Phuah; Katri Pylkäs; Simone M Rowley; Suleeporn Sangrajrang; Rita K Schmutzler; Chen-Yang Shen; Xiao-Ou Shu; Melissa C Southey; Harald Surowy; Anthony Swerdlow; Soo H Teo; Rob A E M Tollenaar; Ian Tomlinson; Diana Torres; Thérèse Truong; Celine Vachon; Senno Verhoef; Michelle Wong-Brown; Wei Zheng; Ying Zheng; Heli Nevanlinna; Rodney J Scott; Irene L Andrulis; Anna H Wu; John L Hopper; Fergus J Couch; Robert Winqvist; Barbara Burwinkel; Elinor J Sawyer; Marjanka K Schmidt; Anja Rudolph; Thilo Dörk; Hiltrud Brauch; Ute Hamann; Susan L Neuhausen; Roger L Milne; Olivia Fletcher; Paul D P Pharoah; Ian G Campbell; Alison M Dunning; Florence Le Calvez-Kelm; David E Goldgar; Sean V Tavtigian; Georgia Chenevix-Trench
Journal:  J Med Genet       Date:  2016-02-26       Impact factor: 6.318

7.  Gene-panel sequencing and the prediction of breast-cancer risk.

Authors:  Douglas F Easton; Paul D P Pharoah; Antonis C Antoniou; Marc Tischkowitz; Sean V Tavtigian; Katherine L Nathanson; Peter Devilee; Alfons Meindl; Fergus J Couch; Melissa Southey; David E Goldgar; D Gareth R Evans; Georgia Chenevix-Trench; Nazneen Rahman; Mark Robson; Susan M Domchek; William D Foulkes
Journal:  N Engl J Med       Date:  2015-05-27       Impact factor: 91.245

8.  Multigene testing of moderate-risk genes: be mindful of the missense.

Authors:  E L Young; B J Feng; A W Stark; F Damiola; G Durand; N Forey; T C Francy; A Gammon; W K Kohlmann; K A Kaphingst; S McKay-Chopin; T Nguyen-Dumont; J Oliver; A M Paquette; M Pertesi; N Robinot; J S Rosenthal; M Vallee; C Voegele; J L Hopper; M C Southey; I L Andrulis; E M John; M Hashibe; J Gertz; F Le Calvez-Kelm; F Lesueur; D E Goldgar; S V Tavtigian
Journal:  J Med Genet       Date:  2016-01-19       Impact factor: 6.318

9.  Prediction of breast cancer risk based on profiling with common genetic variants.

Authors:  Nasim Mavaddat; Paul D P Pharoah; Kyriaki Michailidou; Jonathan Tyrer; Mark N Brook; Manjeet K Bolla; Qin Wang; Joe Dennis; Alison M Dunning; Mitul Shah; Robert Luben; Judith Brown; Stig E Bojesen; Børge G Nordestgaard; Sune F Nielsen; Henrik Flyger; Kamila Czene; Hatef Darabi; Mikael Eriksson; Julian Peto; Isabel Dos-Santos-Silva; Frank Dudbridge; Nichola Johnson; Marjanka K Schmidt; Annegien Broeks; Senno Verhoef; Emiel J Rutgers; Anthony Swerdlow; Alan Ashworth; Nick Orr; Minouk J Schoemaker; Jonine Figueroa; Stephen J Chanock; Louise Brinton; Jolanta Lissowska; Fergus J Couch; Janet E Olson; Celine Vachon; Vernon S Pankratz; Diether Lambrechts; Hans Wildiers; Chantal Van Ongeval; Erik van Limbergen; Vessela Kristensen; Grethe Grenaker Alnæs; Silje Nord; Anne-Lise Borresen-Dale; Heli Nevanlinna; Taru A Muranen; Kristiina Aittomäki; Carl Blomqvist; Jenny Chang-Claude; Anja Rudolph; Petra Seibold; Dieter Flesch-Janys; Peter A Fasching; Lothar Haeberle; Arif B Ekici; Matthias W Beckmann; Barbara Burwinkel; Frederik Marme; Andreas Schneeweiss; Christof Sohn; Amy Trentham-Dietz; Polly Newcomb; Linda Titus; Kathleen M Egan; David J Hunter; Sara Lindstrom; Rulla M Tamimi; Peter Kraft; Nazneen Rahman; Clare Turnbull; Anthony Renwick; Sheila Seal; Jingmei Li; Jianjun Liu; Keith Humphreys; Javier Benitez; M Pilar Zamora; Jose Ignacio Arias Perez; Primitiva Menéndez; Anna Jakubowska; Jan Lubinski; Katarzyna Jaworska-Bieniek; Katarzyna Durda; Natalia V Bogdanova; Natalia N Antonenkova; Thilo Dörk; Hoda Anton-Culver; Susan L Neuhausen; Argyrios Ziogas; Leslie Bernstein; Peter Devilee; Robert A E M Tollenaar; Caroline Seynaeve; Christi J van Asperen; Angela Cox; Simon S Cross; Malcolm W R Reed; Elza Khusnutdinova; Marina Bermisheva; Darya Prokofyeva; Zalina Takhirova; Alfons Meindl; Rita K Schmutzler; Christian Sutter; Rongxi Yang; Peter Schürmann; Michael Bremer; Hans Christiansen; Tjoung-Won Park-Simon; Peter Hillemanns; Pascal Guénel; Thérèse Truong; Florence Menegaux; Marie Sanchez; Paolo Radice; Paolo Peterlongo; Siranoush Manoukian; Valeria Pensotti; John L Hopper; Helen Tsimiklis; Carmel Apicella; Melissa C Southey; Hiltrud Brauch; Thomas Brüning; Yon-Dschun Ko; Alice J Sigurdson; Michele M Doody; Ute Hamann; Diana Torres; Hans-Ulrich Ulmer; Asta Försti; Elinor J Sawyer; Ian Tomlinson; Michael J Kerin; Nicola Miller; Irene L Andrulis; Julia A Knight; Gord Glendon; Anna Marie Mulligan; Georgia Chenevix-Trench; Rosemary Balleine; Graham G Giles; Roger L Milne; Catriona McLean; Annika Lindblom; Sara Margolin; Christopher A Haiman; Brian E Henderson; Fredrick Schumacher; Loic Le Marchand; Ursula Eilber; Shan Wang-Gohrke; Maartje J Hooning; Antoinette Hollestelle; Ans M W van den Ouweland; Linetta B Koppert; Jane Carpenter; Christine Clarke; Rodney Scott; Arto Mannermaa; Vesa Kataja; Veli-Matti Kosma; Jaana M Hartikainen; Hermann Brenner; Volker Arndt; Christa Stegmaier; Aida Karina Dieffenbach; Robert Winqvist; Katri Pylkäs; Arja Jukkola-Vuorinen; Mervi Grip; Kenneth Offit; Joseph Vijai; Mark Robson; Rohini Rau-Murthy; Miriam Dwek; Ruth Swann; Katherine Annie Perkins; Mark S Goldberg; France Labrèche; Martine Dumont; Diana M Eccles; William J Tapper; Sajjad Rafiq; Esther M John; Alice S Whittemore; Susan Slager; Drakoulis Yannoukakos; Amanda E Toland; Song Yao; Wei Zheng; Sandra L Halverson; Anna González-Neira; Guillermo Pita; M Rosario Alonso; Nuria Álvarez; Daniel Herrero; Daniel C Tessier; Daniel Vincent; Francois Bacot; Craig Luccarini; Caroline Baynes; Shahana Ahmed; Mel Maranian; Catherine S Healey; Jacques Simard; Per Hall; Douglas F Easton; Montserrat Garcia-Closas
Journal:  J Natl Cancer Inst       Date:  2015-04-08       Impact factor: 13.506

Review 10.  Validation of Recently Proposed Colorectal Cancer Susceptibility Gene Variants in an Analysis of Families and Patients-a Systematic Review.

Authors:  Peter Broderick; Sara E Dobbins; Daniel Chubb; Ben Kinnersley; Malcolm G Dunlop; Ian Tomlinson; Richard S Houlston
Journal:  Gastroenterology       Date:  2016-10-03       Impact factor: 22.682

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  27 in total

1.  Genetic Testing and Results in a Population-Based Cohort of Breast Cancer Patients and Ovarian Cancer Patients.

Authors:  Allison W Kurian; Kevin C Ward; Nadia Howlader; Dennis Deapen; Ann S Hamilton; Angela Mariotto; Daniel Miller; Lynne S Penberthy; Steven J Katz
Journal:  J Clin Oncol       Date:  2019-04-09       Impact factor: 44.544

2.  New surveillance guidelines for Li-Fraumeni and hereditary TP53 related cancer syndrome: implications for germline TP53 testing in breast cancer.

Authors:  D Gareth Evans; Emma R Woodward
Journal:  Fam Cancer       Date:  2021-01       Impact factor: 2.375

Review 3.  Multi-Gene Panel Testing in Gastroenterology: Are We Ready for the Results?

Authors:  Flávio Pereira; Manuel R Teixeira; Mário Dinis Ribeiro; Catarina Brandão
Journal:  GE Port J Gastroenterol       Date:  2021-02-04

4.  Referencing BRCA in hereditary cancer risk discussions: In search of an anchor in a sea of uncertainty.

Authors:  Margaret Waltz; Anya E R Prince; Julianne M O'Daniel; Ann Katherine M Foreman; Bradford C Powell; Jonathan S Berg
Journal:  J Genet Couns       Date:  2020-01-22       Impact factor: 2.537

5.  Cancer Risks Associated With Germline PALB2 Pathogenic Variants: An International Study of 524 Families.

Authors:  Xin Yang; Goska Leslie; Alicja Doroszuk; Sandra Schneider; Jamie Allen; Brennan Decker; Alison M Dunning; James Redman; James Scarth; Inga Plaskocinska; Craig Luccarini; Mitul Shah; Karen Pooley; Leila Dorling; Andrew Lee; Muriel A Adank; Julian Adlard; Kristiina Aittomäki; Irene L Andrulis; Peter Ang; Julian Barwell; Jonine L Bernstein; Kristie Bobolis; Åke Borg; Carl Blomqvist; Kathleen B M Claes; Patrick Concannon; Adeline Cuggia; Julie O Culver; Francesca Damiola; Antoine de Pauw; Orland Diez; Jill S Dolinsky; Susan M Domchek; Christoph Engel; D Gareth Evans; Florentia Fostira; Judy Garber; Lisa Golmard; Ellen L Goode; Stephen B Gruber; Eric Hahnen; Christopher Hake; Tuomas Heikkinen; Judith E Hurley; Ramunas Janavicius; Zdenek Kleibl; Petra Kleiblova; Irene Konstantopoulou; Anders Kvist; Holly Laduca; Ann S G Lee; Fabienne Lesueur; Eamonn R Maher; Arto Mannermaa; Siranoush Manoukian; Rachel McFarland; Wendy McKinnon; Alfons Meindl; Kelly Metcalfe; Nur Aishah Mohd Taib; Jukka Moilanen; Katherine L Nathanson; Susan Neuhausen; Pei Sze Ng; Tu Nguyen-Dumont; Sarah M Nielsen; Florian Obermair; Kenneth Offit; Olufunmilayo I Olopade; Laura Ottini; Judith Penkert; Katri Pylkäs; Paolo Radice; Susan J Ramus; Vilius Rudaitis; Lucy Side; Rachel Silva-Smith; Valentina Silvestri; Anne-Bine Skytte; Thomas Slavin; Jana Soukupova; Carlo Tondini; Alison H Trainer; Gary Unzeitig; Lydia Usha; Thomas van Overeem Hansen; James Whitworth; Marie Wood; Cheng Har Yip; Sook-Yee Yoon; Amal Yussuf; George Zogopoulos; David Goldgar; John L Hopper; Georgia Chenevix-Trench; Paul Pharoah; Sophia H L George; Judith Balmaña; Claude Houdayer; Paul James; Zaki El-Haffaf; Hans Ehrencrona; Marketa Janatova; Paolo Peterlongo; Heli Nevanlinna; Rita Schmutzler; Soo-Hwang Teo; Mark Robson; Tuya Pal; Fergus Couch; Jeffrey N Weitzel; Aaron Elliott; Melissa Southey; Robert Winqvist; Douglas F Easton; William D Foulkes; Antonis C Antoniou; Marc Tischkowitz
Journal:  J Clin Oncol       Date:  2019-12-16       Impact factor: 44.544

6.  Guidelines for the management of hereditary colorectal cancer from the British Society of Gastroenterology (BSG)/Association of Coloproctology of Great Britain and Ireland (ACPGBI)/United Kingdom Cancer Genetics Group (UKCGG).

Authors:  Kevin J Monahan; Nicola Bradshaw; Sunil Dolwani; Bianca Desouza; Malcolm G Dunlop; James E East; Mohammad Ilyas; Asha Kaur; Fiona Lalloo; Andrew Latchford; Matthew D Rutter; Ian Tomlinson; Huw J W Thomas; James Hill
Journal:  Gut       Date:  2019-11-28       Impact factor: 23.059

7.  Association of a Polygenic Risk Score With Breast Cancer Among Women Carriers of High- and Moderate-Risk Breast Cancer Genes.

Authors:  Shannon Gallagher; Elisha Hughes; Susanne Wagner; Placede Tshiaba; Eric Rosenthal; Benjamin B Roa; Allison W Kurian; Susan M Domchek; Judy Garber; Johnathan Lancaster; Jeffrey N Weitzel; Alexander Gutin; Jerry S Lanchbury; Mark Robson
Journal:  JAMA Netw Open       Date:  2020-07-01

8.  Clinical validity assessment of genes frequently tested on hereditary breast and ovarian cancer susceptibility sequencing panels.

Authors:  Kristy Lee; Bryce A Seifert; Hermela Shimelis; Rajarshi Ghosh; Stephanie B Crowley; Natalie J Carter; Kurston Doonanco; A Katherine Foreman; Deborah I Ritter; Sharisse Jimenez; Mackenzie Trapp; Kenneth Offit; Sharon E Plon; Fergus J Couch
Journal:  Genet Med       Date:  2018-12-03       Impact factor: 8.822

9.  From BRCA1 to Polygenic Risk Scores: Mutation-Associated Risks in Breast Cancer-Related Genes.

Authors:  Emma R Woodward; Elke M van Veen; D Gareth Evans
Journal:  Breast Care (Basel)       Date:  2021-03-31       Impact factor: 2.860

10.  Summary of BARD1 Mutations and Precise Estimation of Breast and Ovarian Cancer Risks Associated with the Mutations.

Authors:  Malwina Suszynska; Piotr Kozlowski
Journal:  Genes (Basel)       Date:  2020-07-15       Impact factor: 4.096

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