scholarly journals The Importance of Genetics Experts in Optimizing Genetic Test Orders Through Prospective and Retrospective Reviews

2019 ◽  
Vol 153 (4) ◽  
pp. 537-547
Author(s):  
M Edye Conway ◽  
Cassidi Dailey Kalejta ◽  
Darci L Sternen ◽  
Ila R Singh

Abstract Objectives To demonstrate the impact of genetics specialists on identifying test order errors and improving reimbursement for genetic testing. Methods Forty-four cases in which whole exome sequencing (WES) was performed but not reimbursed were reviewed by a genetic counselor through simulated prospective and retrospective reviews. Results Fifty-two percent of WES requests were ordered by nongenetics providers. Retrospective review revealed that 50% of cases were denied because of contractual constraints on billing. If review by a genetic counselor had occurred in real time, modifications or cancellations would have been recommended in 82% of the cases. Conclusions A laboratory stewardship program involving genetics experts identified test order errors and opportunities for improved reimbursement and cost savings. Significant variables affected reimbursement, including inpatient status, payer criteria, and ordering provider specialty.

2020 ◽  
Vol 13 (5) ◽  
pp. 504-514
Author(s):  
Zuhair N. Al-Hassnan ◽  
Abdulrahman Almesned ◽  
Sahar Tulbah ◽  
Ali Alakhfash ◽  
Faten Alhadeq ◽  
...  

Background: Childhood-onset cardiomyopathy is a heterogeneous group of conditions the cause of which is largely unknown. The influence of consanguinity on the genetics of cardiomyopathy has not been addressed at a large scale. Methods: To unravel the genetic cause of childhood-onset cardiomyopathy in a consanguineous population, a categorized approach was adopted. Cases with childhood-onset cardiomyopathy were consecutively recruited. Based on the likelihood of founder mutation and on the clinical diagnosis, genetic test was categorized to either (1) targeted genetic test with targeted mutation test, single-gene test, or multigene panel for Noonan syndrome, or (2) untargeted genetic test with whole-exome sequencing or whole-genome sequencing. Several bioinformatics tools were used to filter the variants. Results: Two-hundred five unrelated probands with various forms of cardiomyopathy were evaluated. The median age of presentation was 10 months. In 30.2% (n=62), targeted genetic test had a yield of 82.7% compared with 33.6% for whole-exome sequencing/whole-genome sequencing (n=143) giving an overall yield of 53.7%. Strikingly, 96.4% of the variants were homozygous, 9% of which were found in 4 dominant genes. Homozygous variants were also detected in 7 novel candidates ( ACACB, AASDH, CASZ1, FLII, RHBDF1, RPL3L, ULK1 ). Conclusions: Our work demonstrates the impact of consanguinity on the genetics of childhood-onset cardiomyopathy, the value of adopting a categorized population-sensitive genetic approach, and the opportunity of uncovering novel genes. Our data suggest that if a founder mutation is not suspected, adopting whole-exome sequencing/whole-genome sequencing as a first-line test should be considered.


2021 ◽  
Vol 22 (19) ◽  
pp. 10400
Author(s):  
H. Busra Cagirici ◽  
Bala Ani Akpinar ◽  
Taner Z. Sen ◽  
Hikmet Budak

The highly challenging hexaploid wheat (Triticum aestivum) genome is becoming ever more accessible due to the continued development of multiple reference genomes, a factor which aids in the plight to better understand variation in important traits. Although the process of variant calling is relatively straightforward, selection of the best combination of the computational tools for read alignment and variant calling stages of the analysis and efficient filtering of the false variant calls are not always easy tasks. Previous studies have analyzed the impact of methods on the quality metrics in diploid organisms. Given that variant identification in wheat largely relies on accurate mining of exome data, there is a critical need to better understand how different methods affect the analysis of whole exome sequencing (WES) data in polyploid species. This study aims to address this by performing whole exome sequencing of 48 wheat cultivars and assessing the performance of various variant calling pipelines at their suggested settings. The results show that all the pipelines require filtering to eliminate false-positive calls. The high consensus among the reference SNPs called by the best-performing pipelines suggests that filtering provides accurate and reproducible results. This study also provides detailed comparisons for high sensitivity and precision at individual and population levels for the raw and filtered SNP calls.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Stephanie M Ware ◽  
Steven E Lipshultz ◽  
Steven D Colan ◽  
Ling Shi ◽  
Charles E Canter ◽  
...  

Introduction: Pediatric cardiomyopathies are genetically heterogeneous diseases with high risk of death or cardiac transplant. Despite progress in identifying causes, the majority of cases remain idiopathic. Currrently, genetic testing is not performed in all children with cardiomyopathy. Gene identification leads to better individual risk stratification and has the potential to stimulate the development of therapies based on the underlying mutation. The aim of this study is to identify genetic mutations in pediatric cardiomyopathy patients using whole exome sequencing. Hypothesis: Sarcomeric mutations are under-diagnosed causes of all forms of cardiomyopathy in children. Methods: Probands with cardiomyopathy were recruited from 11 institutions. Results of clinical genetic testing prior to enrollment were collected. Whole exome sequencing was performed and mutations were identified in 35 genes currently available on clinical genetic testing panels. Results: The initial 154 probands subjected to exome included 78 patients with DCM, 43 with HCM, 14 with RCM, and 19 with LVNC, mixed, or unknown types. Familial disease was present in 38% and the remainder were idiopathic. Twenty-seven percent had positive clinical genetic testing prior to enrollment. Exome testing identified mutations in 38 subjects who had not had clinical testing, increasing the cohort positive testing rate to 55% (DCM, 34.6%; HCM, 74.4%; RCM, 71.4%). Forty-five percent of subjects with no family history of disease had an identifiable mutation. Conclusions: Pediatric cardiomyopathy patients have a high incidence of mutations that can be identified by clinically available genetic testing. Lack of a family history of cardiomyopathy was not predictive of normal genetic testing. These results support the broader use of genetic testing in pediatric patients with all functional phenotypes of cardiomyopathy to identify disease causation allowing better family risk stratification.


2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Ahra Cho ◽  
Jose Ronaldo Lima de Carvalho ◽  
Akemi J. Tanaka ◽  
Ruben Jauregui ◽  
Sarah R. Levi ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Prasad Devarajan ◽  
Geoffrey Block ◽  
Keisha Gibson ◽  
Jim McKay ◽  
Colin Meyer ◽  
...  

Abstract Background and Aims Knowledge about genetic causes of chronic kidney disease (CKD) is one of the key gaps in global kidney research and recent International Society of Nephrology recommendations encourage the adoption of genetic testing to enable a goal of providing precision medicine based on individual risk (1). A recent whole-exome sequencing study showed that genetic inheritance may be responsible for up to 10% of CKD diagnoses, many of which may be previously undiagnosed or mis-diagnosed (2). Continued advances in DNA sequencing technology have made genetic testing, even whole-exome sequencing, applicable to routine clinical diagnoses. In order to test the hypothesis that genetic testing can provide valuable information to increase the accuracy and precision of diagnosis in CKD, we designed a gene panel to prospectively provide genetic testing in a subset of patients with CKD defined by a specific set of inclusion criteria. Method Reata Pharmaceuticals is partnering with Invitae on a program called KidneyCode, which provides no-charge genetic testing to enable diagnosis of three specific rare monogenic causes of CKD: Alport syndrome (AS), autosomal dominant polycystic kidney disease (ADPKD) due to PKD2 mutations, and focal segmental glomerulosclerosis (FSGS), as well as detection of variants in one of the autosomal recessive polycystic kidney disease gene, PKHD1. Invitae’s renal disease panel includes 17 genes (ACTN4, ANLN, CD2AP, COL4A3, COL4A4, COL4A5, CRB2, HNF1A, INF2, LMX1B, MYO1E, NPHS1, NPHS2, PAX2, PKD2, PKHD1, and TRPC6), and its assay includes both full-gene sequencing and intragenic deletion/duplication analysis using next-generation sequencing (NGS). The assay targets the coding exons and flanking 10bp of intronic sequences. Invitae’s method of variant classification uses a systematic process for assessing evidence based on guidelines published by the American College of Medical Genetics (3). Patients in the US at risk for hereditary CKD (eGFR ≤ 90 mL/min/1.73m2 plus hematuria or a family history of CKD) or with a known diagnosis of AS or FSGS are eligible. Family members of those with suspected or known AS or FSGS are also eligible. All participants in the KidneyCode program have access to genetic counseling follow-up at no additional charge. Results In the first five months of the KidneyCode program, 152 genetic tests have been completed. A genetic variant was reported in 87 patients. Of those 87 patients, 67 patients had 75 variants in COL4A3, 4, or 5 genes (34 Pathogenic/Likely Pathogenic (P/LP), 41 Variants of Uncertain Significance (VUS)), 20 patients had 24 variants in genes associated with FSGS (3 P/LP, 21 VUS), 15 patients had 20 variants in PKHD1 (1 P/LP, 19 VUS), and 2 patients had variants in PKD2 (1 P/LP, 1 VUS). Of the 34 patients with Pathogenic or Likely Pathogenic COL4A variants, 19 reported a previous diagnosis of Alport syndrome. Other diagnoses in patients with COL4A mutations included FSGS, thin basement membrane disease, and familial hematuria. Extra-renal manifestations such as hearing loss and eye disease were reported in 7 of the 34 patients with COL4A variants. Conclusion Initial results with the KidneyCode panel demonstrate the utility of NGS and support the hypothesis that combining genetic testing with clinical presentation and medical history can significantly improve accuracy and precision of diagnosis in patients with hereditary CKD.


2014 ◽  
Vol 32 (26_suppl) ◽  
pp. 45-45 ◽  
Author(s):  
Caitlin Laurel Gomez ◽  
Nicole Ann Dawson ◽  
Robyn Lynn Dvorak ◽  
Nova Foster ◽  
Anne Hoyt ◽  
...  

45 Background: Approximately 5% to 10% of women diagnosed with breast cancer have a genetic predisposition, which can affect management recommendations. The National Comprehensive Cancer Network (NCCN) has established guidelines for genetics referral and testing, however recent publications have indicated low rates of family history documentation and appropriate genetics referral. We sought to assess the impact of standardized family history documentation on rates of appropriate genetics referral in a multidisciplinary breast clinic (MDC) setting. Methods: In advance of MDC consultation, women with newly diagnosed breast cancer complete an intake questionnaire which includes documentation of Ashkenazi Jewish ancestry along with a thorough family history. We retrospectively analyzed family history documentation to inform eligibility for genetic testing and rates of appropriate genetics referral. Results: Between June 2012 and April 2014, 202 women with newly diagnosed, nonmetastatic breast cancer were seen in MDC. We noted 100% compliance with family history documentation. Per NCCN Guidelines, genetic testing was indicated in 52% (106 patients), of which 77% were appropriately referred to a genetic counselor for evaluation. All patients who met criteria based on personal history factors including age ≤ 45, triple-negative disease under age 60, or two or more breast primaries under age 50 were appropriately referred. Patients who were eligible but not referred ranged in age from 46 to 93 and were eligible for testing based on Ashkenzi Jewish ancestry (3 patients) or family history factors including a relative with ovarian cancer (3 patients), ≥2 relatives with breast cancer (5 patients), or a relative with breast cancer < age 50 (7 patients). Conclusions: Compared with recently published national averages, rates of appropriate family history documentation and genetic testing referrals are significantly higher in our MDC setting. However, this analysis has identified significant opportunity for improvement via identification of overlooked referral indications. Initiatives are underway to improve future compliance.


2016 ◽  
Vol 23 (4) ◽  
pp. 721-730 ◽  
Author(s):  
Jennifer Hintzsche ◽  
Jihye Kim ◽  
Vinod Yadav ◽  
Carol Amato ◽  
Steven E Robinson ◽  
...  

Abstract Objective Currently, there is a disconnect between finding a patient’s relevant molecular profile and predicting actionable therapeutics. Here we develop and implement the Integrating Molecular Profiles with Actionable Therapeutics (IMPACT) analysis pipeline, linking variants detected from whole-exome sequencing (WES) to actionable therapeutics. Methods and materials The IMPACT pipeline contains 4 analytical modules: detecting somatic variants, calling copy number alterations, predicting drugs against deleterious variants, and analyzing tumor heterogeneity. We tested the IMPACT pipeline on whole-exome sequencing data in The Cancer Genome Atlas (TCGA) lung adenocarcinoma samples with known EGFR mutations. We also used IMPACT to analyze melanoma patient tumor samples before treatment, after BRAF-inhibitor treatment, and after BRAF- and MEK-inhibitor treatment. Results IMPACT Food and Drug Administration (FDA) correctly identified known EGFR mutations in the TCGA lung adenocarcinoma samples. IMPACT linked these EGFR mutations to the appropriate FDA-approved EGFR inhibitors. For the melanoma patient samples, we identified NRAS p.Q61K as an acquired resistance mutation to BRAF-inhibitor treatment. We also identified CDKN2A deletion as a novel acquired resistance mutation to BRAFi/MEKi inhibition. The IMPACT analysis pipeline predicts these somatic variants to actionable therapeutics. We observed the clonal dynamic in the tumor samples after various treatments. We showed that IMPACT not only helped in successful prioritization of clinically relevant variants but also linked these variations to possible targeted therapies. Conclusion IMPACT provides a new bioinformatics strategy to delineate candidate somatic variants and actionable therapies. This approach can be applied to other patient tumor samples to discover effective drug targets for personalized medicine. IMPACT is publicly available at http://tanlab.ucdenver.edu/IMPACT.


2017 ◽  
Vol 24 (6) ◽  
pp. 1184-1191 ◽  
Author(s):  
Rajeswari Swaminathan ◽  
Yungui Huang ◽  
Caroline Astbury ◽  
Sara Fitzgerald-Butt ◽  
Katherine Miller ◽  
...  

Abstract The increased adoption of clinical whole exome sequencing (WES) has improved the diagnostic yield for patients with complex genetic conditions. However, the informatics practice for handling information contained in whole exome reports is still in its infancy, as evidenced by the lack of a common vocabulary within clinical sequencing reports generated across genetic laboratories. Genetic testing results are mostly transmitted using portable document format, which can make secondary analysis and data extraction challenging. This paper reviews a sample of clinical exome reports generated by Clinical Laboratory Improvement Amendments–certified genetic testing laboratories at tertiary-care facilities to assess and identify common data elements. Like structured radiology reports, which enable faster information retrieval and reuse, structuring genetic information within clinical WES reports would help facilitate integration of genetic information into electronic health records and enable retrospective research on the clinical utility of WES. We identify elements listed as mandatory according to practice guidelines but are currently missing from some of the clinical reports, which might help to organize the data when stored within structured databases. We also highlight elements, such as patient consent, that, although they do not appear within any of the current reports, may help in interpreting some of the information within the reports. Integrating genetic and clinical information would assist the adoption of personalized medicine for improved patient care and outcomes.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Myat Han Soe ◽  
cheng cheng ◽  
Chienying Liu

Abstract Multiple endocrine neoplasia (MEN) is characterized by the occurrence of tumors involving two or more endocrine glands in a single patient. Among the four MEN syndromes, MEN4 due to CDKN1B mutation is characterized by parathyroid and anterior pituitary tumors in possible association with tumors of the adrenals, kidneys, and reproductive organs. We presented a patient with MEN 4 like syndrome without CDKN1B, menin or RET mutations. 74 year old male was diagnosed with acromegaly and primary hyperparathyroidism at age 63. Genetic testing revealed no mutations in menin and RET genes. At age 68, he was diagnosed with renal cell carcinoma (RCC) and at age 70, 2cm left adrenal mass was identified on surveillance computerized tomography (CT). No biochemical workup was pursued. Four years later, he developed hypertensive crisis during spine surgery at our institution. Workup revealed elevated plasma metanephrine (490 pg/ml, normal &lt;57) and normetanephrine (1333 pg/ml, normal &lt;148). CT showed the left adrenal mass increased in size to 4.5 cm. Family history is negative for any endocrine tumors. He underwent repeat genetic testing. Analyses of 133 gene panel reported no germline mutations in menin, RET, CDKN1B, NF12, VHL, SDH and other genes tested but there were variants of uncertain significance (VUS) identified in CHEK2 c.14C&gt;T (p.Ser5Leu) and PTCH2 c.2812G&gt;A (p.Gly938Ser). Patient successfully underwent left adrenalectomy after alpha blockage. Paired tumor-normal sequencing of the resected tumor detected a pathogenic deletion frameshift mutation in NF1 with loss of heterozygosity (LOH) along with copy number alterations with losses in 1p34.1-p11.2, 11p11.2-15.4, 11q14.1-q25 and 17q11.2 (including NF1). VUSs were also detected including CDKN1A C117Y variant, and CHD2P80L. Since germline and tumor testing failed to reveal any known pathogenic variants, whole exome sequencing (pending) will be pursued. The presentation with RCC, pheochromocytoma, pituitary adenoma and parathyroid adenoma is consistent with a MEN syndrome in this patient despite no known pathogenic MEN mutations detected. Somatic mutation in NF1 is a common finding in pheochromocytoma. The biochemical phenotype of pheochromocytoma (elevated metanephrines) is consistent with cluster 2 tumors of kinase signaling pathway as seen in tumors of MEN syndrome and neurofibromatosis. We hope to gain more insight via whole exome sequencing to evaluate for potential novel gene mutation(s).


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