scholarly journals Increased use of genetic health care in Iceland 2012-2017

2022 ◽  
Vol 108 (01) ◽  
pp. 11-16
Author(s):  
Hákon Björn Högnason ◽  
◽  
Vigdís Fjóla Stefánsdóttir ◽  
Eirný Þöll Þórólfsdóttir ◽  
Jón Jóhannes Jónsson ◽  
...  

INTRODUCTION: A genetic counselling unit at Landspitali hospital (LSH) was established in 2006. Meanwhile, genetic testing has become an integral part of general health care. In this article we detail the outcome of genetic testing at the Department of Genetic and Molecular Medicine (DGM) at Landspitali over a five year period (2012-2017). Factors that were analyzed for the time period were: Number of patients, reason for referral, reason for genetic testing without genetic counselling and yield (proportion of positive tests) of genetic testing. METHODS: Data was analysed from two medical record databases, Shire and Saga, used by the DGM in the time period. RESULTS: The number of individuals coming for genetic counselling increased every year over the time period. Reasons for referral were cancer-related in two-thirds of cases. Other reasons for referral included various other familial disorders. Most common were autosomal dominant disorders like myotonic dystrophy, hypertrophic cardiomyopathy and autosomal recessive disorders like spinal muscular atrophy (SMA) and GM1-gangliosidosis. Most common reasons for genetic testing outside of the LSH GC unit was because of managable diseases like hemochromatosis and F5/Prothrombin-related thrombophilia. Yield of genetic testing was assessed for a) known mutation testing / carrier testing, b) single gene testing, c) gene panel testing and d) whole genome and whole exome sequencing. Known mutation testing was positive in 33% of cases and single gene testing in 46% of cases. The yield of gene panel testing for cancer was found to be lower (20%) than gene panel testing for other disorders (40%). The yield of whole exome and whole genome sequencing was 46%.

2015 ◽  
Vol 33 (28_suppl) ◽  
pp. 16-16
Author(s):  
Nimmi S. Kapoor ◽  
Lisa D. Curcio ◽  
Carlee A. Blakemore ◽  
Amy K. Bremner ◽  
Rachel E. McFarland ◽  
...  

16 Background: Recently introduced multi-gene panel testing including BRCA1 and BRCA2 genes (BRCA1/2) for hereditary cancer risk has raised concerns with the ability to detect all deleterious BRCA1/2 mutations compared to older methods of sequentially testing BRCA1/2 separately. The purpose of this study is to evaluate rates of pathogenic BRCA1/2mutations and variants of uncertain significance (VUS) between previous restricted algorithms of genetic testing and newer approaches of multi-gene testing. Methods: Data was collected retrospectively from 966 patients who underwent genetic testing at one of three sites from a single institution. Test results were compared between patients who underwent BRCA1/2testing only (limited group, n = 629) to those who underwent multi-gene testing with 5-43 cancer-related genes (panel group, n = 337). Results: Deleterious BRCA1/2 mutations were identified in 37 patients, with equivalent rates between limited and panel groups (4.0% vs 3.6%, respectively, p = 0.86). Thirty-nine patients had a BRCA1/2 VUS, with similar rates between limited and panel groups (4.5% vs 3.3%, respectively, p = 0.49). On multivariate analysis, there was no difference in detection of either BRCA1/2 mutations or VUS between both groups. Of patients undergoing panel testing, an additional 3.9% (n = 13) had non-BRCA pathogenic mutations and 13.4% (n = 45) had non-BRCA VUSs. Mutations in PALB2, CHEK2, and ATM were the most common non-BRCA mutations identified. Conclusions: Multi-gene panel testing detects pathogenic BRCA1/2 mutations at equivalent rates as limited testing and increases the diagnostic yield. Panel testing increases the VUS rate, mainly due to non-BRCA genes. Patients at risk for hereditary breast cancer can safely benefit from upfront, more efficient, multi-gene panel testing.


2020 ◽  
Vol 248-249 ◽  
pp. 11-17
Author(s):  
Cristina Fortuno ◽  
Tina Pesaran ◽  
Jessica Mester ◽  
Jill Dolinsky ◽  
Amal Yussuf ◽  
...  

2021 ◽  
Author(s):  
Elke M. van Veen ◽  
D. Gareth Evans ◽  
Elaine F. Harkness ◽  
Helen J. Byers ◽  
Jamie M. Ellingford ◽  
...  

AbstractPurpose: Lobular breast cancer (LBC) accounts for ~ 15% of breast cancer. Here, we studied the frequency of pathogenic germline variants (PGVs) in an extended panel of genes in women affected with LBC. Methods: 302 women with LBC and 1567 without breast cancer were tested for BRCA1/2 PGVs. A subset of 134 LBC affected women who tested negative for BRCA1/2 PGVs underwent extended screening, including: ATM, CDH1, CHEK2, NBN, PALB2, PTEN, RAD50, RAD51D, and TP53.Results: 35 PGVs were identified in the group with LBC, of which 22 were in BRCA1/2. Ten actionable PGVs were identified in additional genes (ATM(4), CDH1(1), CHEK2(1), PALB2(2) and TP53(2)). Overall, PGVs in three genes conferred a significant increased risk for LBC. Odds ratios (ORs) were: BRCA1: OR = 13.17 (95%CI 2.83–66.38; P = 0.0017), BRCA2: OR = 10.33 (95%CI 4.58–23.95; P < 0.0001); and ATM: OR = 8.01 (95%CI 2.52–29.92; P = 0.0053). We did not detect an increased risk of LBC for PALB2, CDH1 or CHEK2. Conclusion: The overall PGV detection rate was 11.59%, with similar rates of BRCA1/2 (7.28%) PGVs as for other actionable PGVs (7.46%), indicating a benefit for extended panel genetic testing in LBC. We also report a previously unrecognised association of pathogenic variants in ATM with LBC.


2016 ◽  
Vol 34 (3_suppl) ◽  
pp. 261-261
Author(s):  
Nimmi S. Kapoor ◽  
Jennifer Swisher ◽  
Rachel E. McFarland ◽  
Mychael Patrick ◽  
Lisa D. Curcio

261 Background: Recently, genetic testing for hereditary cancer syndromes has seen numerous advances in testing spectrum, capability, and efficiency. This may have important implications for cancer survivors and their families. The purpose of this study is to evaluate the impact of reflex genetic testing with newer multi-gene panels on patients with prior negative BRCA1/2 tests. Methods: Data was collected retrospectively from patients who underwent multi-gene panel testing at one of three sites from a single institution between 8/2013-6/2015. Those with a personal history of breast or ovarian cancer and a prior negative BRCA1/2 test were included. Results: Of 914 patients who underwent multi-gene panel tests, 187 met study inclusion criteria. Ten patients (5.3%) were found to carry 11 pathogenic mutations, including 6 patients with mutations in CHEK2, 2 patients with mutations in PTEN, and 1 patient each with mutations in the following genes: BARD1, NF1, and RAD51C. One patient had two pathogenic mutations identified—CHEK2 and BARD1. Of 10 patients with mutations, 9 had a personal history of breast cancer diagnosed at a median age of 43 (range 35-52) and 1 had ovarian cancer diagnosed at age 65. A majority of mutation carriers underwent panel testing years after their cancer diagnosis (median 6 years, range 0.5-32 years) and none with delayed testing had undergone prophylactic contralateral mastectomy prior to the discovery of their gene mutation. All patients with mutations had a family history of at least one cancer, with most having a variety of cancer diagnoses in multiple relatives. Positive panel testing results altered clinical management in most patients, including addition of breast MRI, colonoscopy, or thyroid ultrasound depending on the gene mutation. After discovery of a PTEN mutation 19 years after her initial cancer treatment, one woman underwent bilateral prophylactic mastectomy and was found to have occult ductal carcinoma in situ. Conclusions: Cancer survivorship must incorporate advances in technology that may be beneficial even years after treatment has ended. Multi-gene panel testing can be applied in survivorship settings as a useful tool to guide screening recommendations.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 1525-1525
Author(s):  
Gregory Idos ◽  
Allison W. Kurian ◽  
Charite Nicolette Ricker ◽  
Duveen Sturgeon ◽  
Julie Culver ◽  
...  

1525 Background: Genetic testing is a powerful tool for stratifying cancer risk. Multiplex gene panel (MGP) testing allows simultaneous analysis of multiple high- and moderate- penetrance genes. However, the diagnostic yield and clinical utility of panels remain to be further delineated. Methods: A report of a fully accrued trial (N = 2000) of patients undergoing cancer-risk assessment. Patients were enrolled in a multicenter prospective cohort study where diagnostic yield and off-target mutation detection was evaluated of a 25 gene MGP comprised of APC, ATM, BARD1, BMPR1A, BRCA1, BRCA2, BRIP1, CDH1, CDK4, CDKN2A, CHEK2, EPCAM, MLH1, MSH2, MSH6, MUTYH, NBN, PALB2, PMS2, PTEN, RAD51C, RAD51D, SMAD4, STK11, TP53. Patients were enrolled if they met standard testing guidelines or were predicted to have a ≥2.5% mutation probability by validated models. Differential diagnoses (DDx) were generated after expert clinical genetics assessment, formulating up to 8 inherited cancer syndromes ranked by estimated likelihood. Results: 1998/2000 patients had reported MGP test results. Women constituted 81% of the sample, and 40% were Hispanic; 241 tested positive for at least 1 pathogenic mutation (12.1%) and 689 (34.5%) patients carried at least 1 variant of uncertain significance. The most frequently identified mutations were in BRCA1 (17%, n = 41), BRCA2 (15%, n = 36), APC (8%, n = 19), CHEK2 (7%, n = 17), ATM (7%, n = 16). 39 patients (16%) had at least 1 pathogenic mutation in a mismatch repair (MMR) gene ( MLH1, n = 10; MSH2, n = 10; MSH6, n = 8; PMS2, n = 11). 43 individuals (18%) had MUTYH mutations – 41 were monoallelic. Among 19 patients who had mutations in APC – 16 were APC I1307K. Only 65% (n = 159) of PV results were included in the DDx, with 35% (n = 86) of mutations not clinically suspected. Conclusions: In a diverse cohort, multiplex panel use increased genetic testing yield substantially: 35% carried pathogenic mutations in unsuspected genes, suggesting a significant contribution of expanded multiplex testing to clinical cancer risk assessment. The identification of off-target mutations broadens our understanding of cancer risk and genotype-phenotype correlations. Follow-up is ongoing to assess the clinical utility of multiplex gene panel testing. Clinical trial information: NCT02324062.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 1523-1523
Author(s):  
Gregory Idos ◽  
Katherine G Roth ◽  
Leah Naghi ◽  
Charite Nicolette Ricker ◽  
Julie Culver ◽  
...  

1523 Background: Mutation carrier prediction models are clinically useful tools for identifying candidates for genetic counseling and testing. Consensus guidelines recommend germline genetic testing for those with a carrier probability (CP) of approximately 5% or higher. However, prediction models may perform less well among racial/ethnic minorities. Our hypothesis is that pathogenic mutations (PM) are identifiable in a clinically meaningful fraction of racially/ethnically diverse patients with a CP of < 5%. Methods: We conducted a multicenter prospective clinical trial of patients undergoing cancer-risk assessment using a 25 gene panel, which include APC, ATM, BARD1, BMPR1A, BRCA1, BRCA2, BRIP1, CDH1, CDK4, CDKN2A, CHEK2, EPCAM, MLH1, MSH2, MSH6, MUTYH, NBN, PALB2, PMS2, PTEN, RAD51C, RAD51D, SMAD4, STK11, TP53. Patients were recruited from August 2014 to November 2016 at three centers. Patients were enrolled if they met standard clinical criteria for genetic testing or were predicted to have a ≥2.5% probability of inherited cancer susceptibility using validated prediction models. We evaluated the CP of patients with a PM in BRCA1, BRCA2, and/or a mismatch repair (MMR) gene using the following models: (1) BRCApro, (2) MMRpro and (3) PREMM1,2,6. Results: Of 2000 patients enrolled in this cohort, 80.6% are female (n = 1612). Regarding race/ethnicity, the cohort is 40.1% Non-Hispanic White (n = 802), 37.4% Hispanic (n = 748), 11.5% Asian (n = 230), 3.9% Black (n = 78), and 7.1% Other (n = 142). Among 241 (12.1%) patients who tested positive for a pathogenic mutation, 76 (31.5%) patients had a BRCA1 or BRCA2 mutation. Of those, 52 (68.4%) patients had a BRCApro CP of < 5%. Thirty-eight (15.8%) patients had a pathogenic mutation in an MMR gene: 19 (50.0%) had an MMRpro CP of < 5%, while 13 (34.2%) had a PREMM1,2,6 CP of < 5%. The racial/ethnic distribution of BRCA1/2 or MMR mutation carriers is similar to that of the whole cohort. Conclusions: In a diverse cohort of patients undergoing 25-gene multiple-gene panel testing, half or more carriers of BRCA1/2 or MMR mutations had a CP of < 5%, the consensus guideline-recommended cutoff for genetic testing. These results support a lower threshold for genetic testing guidelines. Clinical trial information: NCT02324062.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 1533-1533
Author(s):  
Jessica Fields ◽  
Dimitrios Nasioudis ◽  
Zhen Ni Zhou ◽  
Ann Carlson ◽  
Melissa Kristen Frey ◽  
...  

1533 Background: Approximately one in forty Ashkenazi Jewish (AJ) individuals carry a BRCA1/2 mutation and genetic screening in this population has largely focused on these two genes. With the recent rapid uptake of multigene panel testing for cancer genetic assessment, we sought to explore multigene panels in our cohort which is comprised of AJ and non-AJ patients. Methods: The results of all patients with known ancestry who underwent genetic testing and counseling at the hereditary breast and ovarian cancer center at a single institution between 7/1/2013-12/31/2016 were reviewed. Results: One thousand six hundred and fifty patients with known ancestry underwent genetic testing over the study period, including 681 AJ patients. The median age was 49 (range 20-86). AJ patients were more likely to undergo targeted testing than non-AJ patients (74% vs. 61 %, P<0.001). The use of multigene panels in AJ patients increased over time (2013 – 3.2%, 2014 – 18.7%, 2015 – 27.4%, 2016 – 48.4%, P<0.001). Mutations were more common in AJ patients (75, 11% vs. 66, 7%, P=0.003). Variants of uncertain significance (VUS) were less common in AJ patients (40, 6% vs. 124, 13%, P<0.001), even when excluding patients with single gene testing (32, 19% vs. 98, 27%, P=0.05). Among all patients, mutations in BRCA1/2 were most common (75%). The majority (69%) of non- BRCA1/2 mutations were identified on multigene panels. Rates of mutations in non- BRCA1/2 genes were the same among AJ and non-AJ patients (16, 21% vs. 20, 30%, P=0.3, Table 1). Conclusions: AJ patients have equivalent rates of non- BRCA1/2 mutations and on multigene panels have lower rates of VUS compared to non-AJ patients. However, the majority of AJ patients underwent targeted gene testing. These findings suggest consideration of a change in paradigm for genetic assessment of AJ patients with a focus on BRCA and non- BRCAassociated cancer genes through multigene panel testing. [Table: see text]


2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 668-668
Author(s):  
Shirley A Yao ◽  
Elizabeth A Wiley ◽  
Lisa R. Susswein ◽  
Megan L. Marshall ◽  
Natalie J. Carter ◽  
...  

668 Background: Approximately 25% of pheochromocytomas (PCC) have a hereditary basis, and germline variants in the SDHA, SDHB, SDHC, SDHD, SDHAF2, TMEM127, MAX, VHL, FH, RET, MEN1, and NF1 genes have been associated with a predisposition to PCC and paraganglioma (PGL). Multi-gene hereditary cancer panel testing for PCC has become increasingly more common than single-gene testing algorithms. Identification of a pathogenic or likely pathogenic variant (PV/LPV) in one of these genes has important implications for surveillance in patients and their family members. Here we describe the spectrum of PV/LPV variants identified in individuals with PCC. Methods: We performed a retrospective review of clinical and molecular data for all individuals diagnosed with PCC who underwent panel testing through BioReference Laboratories that included at least SDHA, SDHB, SDHC, SDHD, SDHAF2, TMEM127, MAX, VHL, FH, RET, MEN1, and NF1 between January 2016 and February 2017. Results: Seventy-nine individuals underwent testing due to a personal (n = 76) or family (n = 3) history of PCC. The positive yield was 14% (11/79). The majority of PV/LPV were in SDHB (n = 4; 36%), followed by RET (n = 2, 18%), with the remaining variants being identified in SDHA (1), SDHC (1), VHL (1), TMEM127 (1), and MAX (1). Approximately half (6/11) of those with a PV/LPV had a non-syndromic presentation of a unilateral PCC with no reported family history of PCC or PGL. The average age at tumor diagnosis was lower for probands testing positive than those without PV/LPV (34y±14 vs 44y±16). Conclusions: Our data support previous recommendations that patients with apparently sporadic, non-syndromic PCC be considered for genetic testing. Panel testing is a useful tool for identifying individuals with hereditary PCC.


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