40
views
0
recommends
+1 Recommend
0 collections
    1
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Benign and Deleterious Cystic Fibrosis Transmembrane Conductance Regulator Mutations Identified by Sequencing in Positive Cystic Fibrosis Newborn Screen Children from California

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Of the 2007 Cystic Fibrosis Transmembrane Conductance Regulator ( CFTR) mutations, 202 have been assigned disease liability. California’s racially diverse population, along with CFTR sequencing as part of newborn screening model, provides the opportunity to examine the phenotypes of children with uncategorized mutations to help inform disease liability and penetrance.

          Methods

          We conducted a retrospective cohort study based on children screened from 2007 to 2011 and followed for two to six years. Newborns that screened positive were divided into three genotype groups: those with two CF-causing mutations (CF-C); those with one mutation of varying clinic consequence (VCC); and those with one mutation of unknown disease liability (Unknown). Sweat chloride tests, pancreatic sufficiency status, and Pseudomonas aeruginosa colonization were compared.

          Results

          Children with two CF-causing mutations had a classical CF phenotype, while 5% of VCC (4/78) and 11% of Unknown (27/244) met diagnostic criteria of CF. Children carrying Unknown mutations 2215insG with D836Y, and T1036N had early and classical CF phenotype, while others carrying 1525-42G>A, L320V, L967S, R170H, and 296+28A>G had a benign clinical presentation, suggesting that these are non-CF causing.

          Conclusions

          While most infants with VCC and Unknown CFTR mutations do not meet diagnostic criteria for CF, a small proportion do. These findings highlight the range of genotypes and phenotypes in the first few years of life following CF newborn screening when CFTR sequencing is performed.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found

          Pseudomonas aeruginosa and other predictors of mortality and morbidity in young children with cystic fibrosis.

          We conducted a registry-based study to determine prognostic indicators of 8-year mortality and morbidity in young children with cystic fibrosis (CF). Patients ages 1-5 years from the 1990 U.S. Cystic Fibrosis Foundation (CFF) National Patient Registry served as the study cohort (N = 3,323). Registry data provided information on baseline characteristics in 1990, 8-year mortality, and clinical outcomes in 1998.P. aeruginosa respiratory infection was found to be a major predictor of morbidity and mortality. The 8-year risk of death was 2.6 times higher in patients who had respiratory cultures positive for P. aeruginosa in 1990 (95% confidence interval 1.6, 4.1) than in children without P. aeruginosa in their respiratory cultures. Culture-positive patients in 1990 also had a significantly lower percent predicted forced expiratory volume in 1 sec (FEV(1)) and weight percentile at follow-up, and they had an increased risk of continued P. aeruginosa respiratory infection and hospitalization for acute respiratory exacerbation in 1998. Among the other predictors of increased morbidity and mortality were lower baseline weight percentiles and number of CF-related hospitalizations during the baseline year.These findings confirm reports from previous smaller studies of outcomes among young children with CF, and highlight the potential to decrease the morbidity and mortality of young patients with CF through early intervention. Copyright 2002 Wiley-Liss, Inc.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Evaluation of a new definition for chronic Pseudomonas aeruginosa infection in cystic fibrosis patients.

            Patients were defined each successive month as either 'chronic' when more than 50% of the preceding 12 months were PA culture positive, 'intermittent' when < or =50% of the preceding 12 months were PA culture positive, 'free of PA', with no growth of PA for the previous 12 months, having previously been PA culture positive, or 'never infected', when PA had never been cultured. Cross-sectional analysis of 146 children attending the Leeds Regional Cystic Fibrosis Centre was performed to assess relationship between the new definition and clinical scores and investigations. The response variable was regressed on age and sex and the residuals analysed using the Kruskal-Wallis test. The 'chronic' group (18% of patients) had significantly worse Shwachman-Kulczycki (SK) and Northern chest X-ray scores, and % predicted FEV(1) values than the 'free' (28%) or 'never' (20%) categories (P<0.004). The 'intermittent' group (34%) had a significantly higher SK score than the 'chronic' group (P<0.0001), and a significantly lower % predicted FEV(1) value than the 'free' or 'never' groups (P<0.0003). 'Chronic' patients were significantly associated with a positive, and 'never' patients with a negative, PA antibody result (P<0.001). The validity and importance of identifying these four subgroups is demonstrated. Previous definitions may over-estimate the prevalence of chronic infection.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cystic fibrosis population carrier screening: 2004 revision of American College of Medical Genetics mutation panel

              In April 2001, the American College of Medical Genetics (ACMG) Cystic Fibrosis (CF) Carrier Screening Working Group recommended a panel of mutations and variants that should be tested to determine carrier status within the CFTR gene as a part of population screening programs.1,2 This was initially done in response to the recommendations of an NIH CF Consensus Conference that CF carrier screening be considered by all couples for use before conception or prenatally.3 At that time, the Working Group recognized limitations in our understanding of the population frequencies of several CF alleles and proposed to review mutation distribution data after the first two years of the program. In 2002, as part of an ongoing effort to ensure that the cystic fibrosis carrier screening programs are current with respect to the scientific literature and other available data and practices, we initiated a second review of data on the distribution of mutations in different ethnic groups and we began to assess whether providers were experiencing challenges in delivering this service.4 The current CF Foundation patient mutation database includes nearly double the number of CF patient chromosomes available for analysis in 2000. This report summarizes the major recommendations of our Working Group with the supporting justification for these decisions. A number of articles in this issue of Genetics in Medicine provide some of the data on which our decisions were made, whereas others provide new information related to this topic. QUESTIONS ADDRESSED The questions addressed in this reevaluation of data were as follows: Has the observed frequency of any CF mutation changed significantly since 1999? Should mutations not meeting the prior standard of > 0.1% frequency in CF patients be removed? Should mutations that now have a frequency of 0.1% or greater but that were 400,000 individuals screened was provided by Kaiser Permanente of Northern California, Quest Diagnostics, Laboratory Corporation of America (LabCorp), and Genzyme Genetics (data not shown). General population data are mostly derived from testing that uses the ACMG 25 mutation panel. Hence, general population data for mutations not included in that panel was limited to information provided by Genzyme Genetics and Kaiser Permanente. Organization of data Data were stratified by self-reported race/ethnicity when available. CF patients self-identified as either non-Hispanic Caucasian, African American, Hispanic, Asian, or other. There were 37,263 non-Hispanic Caucasian CF chromosomes, 1,350 from African Americans, 2,718 from Hispanics, 125 from Asians, and 108 from others (American Indians and Aleutians). An additional 1,173 CF chromosomes were from individuals of unknown ethnicity. A subset of patients from the general population study self-identified as either non-Hispanic Caucasian, African American, Hispanic, Asian, or American Indian/Aleutian. Mutation selection standards As in the initial recommendations of a CF mutation screening panel, a standard was set that a mutation should be present in at least 0.1% of CF patient chromosomes. Further, the mutations chosen should be associated with classical CF rather than with milder phenotypes because the decision-making process largely impacts reproductive decisions. Revising the CF carrier screening panel Table 1 lists the mutations found in CF patient chromosomes in descending order of their occurrence in a pan-ethnic population. Mutation frequencies are listed by ethnic group to provide laboratories testing local populations with data to determine an appropriate mutation panel for their test population. Has the observed frequency of any CF mutation changed significantly since 1999? 1078delT was found to occur in 0.03% of CF cases in the current analysis. Technical issues of removing a mutation from a panel, from the perspective of assay platform development, are thought to be minimal. Although there may be other issues associated with changing a “standard,” it was felt that changes should be implemented on the basis of the substantially enlarged data set available to the Working Group. It was decided that any mutation that has prevalence <0.1% should be removed from the screening panel, but that henceforth, decisions would be based on the benefits and costs of incremental gain in the performance characteristics of the screening test as defined here. Thus, the ACMG recommends that 1078delT be removed from the panel. Six mutations not included in the original panel occurred at frequencies ranging from 0.1% to 0.17% in CF patients in the 2003 data (Table 2). Together the six could account for approximately 0.77% of CF alleles. Several issues arise when considering adding mutations to a carrier screening mutation panel. We chose to give minimal consideration to the adaptability of current testing platforms. Rather, we focused on improved clinical utility and have previously addressed issues of analytical quality.6 We also weighed the incremental gain that would be achieved by adding these six mutations against the potential increase in cost and errors associated with the changes.7 The Working Group recommends no additions to the general population screening panel be made at this time. Additions may be considered in the future as more data become available for different ethnic groups or as new technologies emerge. The Working Group recognizes that local demographics may suggest the need to add mutations specific to some groups or to compress the panel to an ethnic-specific subset as was stated in the original recommendations. Table 2 shows the rates of occurrence of an additional 14 of the 53 mutations for which data were available. These 14 mutations occurred in 0.01% to 0.09% of CF patient chromosomes and may be considered when supplementing our recommended panel to improve its sensitivity in other ethnic groups. However, their relationship to disease severity was not assessed in our analysis. Is the prevalence of CF mutations in the general population the same as that predicted from their frequency in CF patients? The mutation/variant I148T occurs at rates 50 to 100 times higher than in the general population being tested for carrier status than in patients.8,9 It was shown that CFTR genes bearing I148T in CF patients have a second mutation termed 3199del6. The vast majority of individuals in the general population with I148T do not have the 3199del6 mutation. Several lines of evidence indicate that 3199del6 is the disease causing mutation. One, CF patients have been described who lack I148T but have 3199del6 in association with another CF causing mutation.10 Two, unaffected individuals have been described who have a CF mutation associated with severe CF and I148T but lacking 3199del6.7–11 Because the frequency of I148T alone is 0.05% and I148T with 3199del6 in this analysis is considerably lower than 0.1% and because I148T does not cause classical CF by itself, we recommend removing I148T from the CF carrier screening panel. The rarity of 3199del6 does not support its addition to the panel as a disease associated mutation and we recommend against it being added as a reflex test for carrier testing. Is there evidence of consistent and recurring challenges with interpretation of some of the mutations in the CF panel? R117Hwasconsideredproblematicininterpretationduetothe complexity of its association with the 5T/7T/9T variant and others have suggested that it may not be appropriate for carrier screening.12 Based on assessment of this situation, the Working Group decided that interpretive problems would have been avoided if 5T had been tested only as a reflex to a finding of R117H, as originally recommended. Furthermore, individuals with R117H and 5T are at risk of having offspring with CF if their partner is also a CF carrier and should be counseled accordingly. Phasing of these sequence changes may be uncertain and these patients may benefit from genetic counseling to discuss the risk and prenatal testing options. Because the frequency of R117H-5T is appreciable, the Working Group recommends retaining R117H, whereas emphasizing the need to perform a screening test for 5T only as a reflex when R117H is present. DISCUSSION In addition to the issues already discussed, several related issues have been raised by others. Warner et al.12 suggest that it is inappropriate to screen for mutations such as R117H for which a definitive prediction of clinical outcome can not be provided. With appropriate informed consent, the limitations inherent in predicting specific phenotypes resulting from any mutations in a CF carrier screening panel should be discussed. Although our recommendations are pertinent to classical CF risk rather than the milder phenotypes discussed, there are some mutations that may be associated with mild or severe forms of CF depending on the mutations with which they are paired, thereby complicating the process of selecting mutation panels. A goal of informed consent for CF carrier testing is to make couples aware that there is a range of clinical outcomes that cannot be predicted, and that that, in and of itself, constitutes informed consent. An additional issue that may be amenable to the informed consent process is the reporting of results. It has been argued that a laboratory is obligated to report any and all information that is gleaned from a test system, however, there is no regulatory requirement and practice varies. Because the CF mutation testing platforms included the reflex tests this led to the reporting of the 5T allele in the absence of R117H by some laboratories. It is not an uncommon practice for clinical chemistry testing platforms to bundle many analytes into a single test but it poses a dilemma for laboratories. Laboratories using existing reagents and tests may be uncomfortable not reporting the 5T/7T/9T alleles and sequences that are no longer considered appropriate for CF carrier screening. The informed consent process should emphasize that CF carrier screening is not designed to detect all of the mutations that cause classical CF or the milder phenotypes. As a result of this process, specification of which results would be reported may help laboratories decide to only report the test results that comprise the recommended panel. However, this may be difficult to implement. CF carrier screening is among the first general population genetic screening tests. Our experience with CF carrier screening offers a potential prototype for the development of other genetic screening programs. Recent experience with I148T serves to demonstrate the importance of evaluating distribution among both affected and carrier screening populations to discern discrepancies before inclusion in a screening panel.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 May 2016
                2016
                : 11
                : 5
                : e0155624
                Affiliations
                [1 ]Department of Pediatrics, Division of Pediatric Pulmonology, Children’s Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
                [2 ]Department of Medicine, Division of Pulmonary and Critical Care Medicine and McKusick-Nathans Institute of Medical Genetics, Johns Hopkins University School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
                [3 ]Department of Biostatistics, Southern California Clinical and Translational Science Institute, Children’s Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
                [4 ]The Sequoia Foundation, La Jolla, California, United States of America
                [5 ]McKusick-Nathans Institute of Medical Genetics, Johns Hopkins University School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
                [6 ]Division of Environmental and Occupational Disease Control, Environmental Health Investigations Branch, Environmental Epidemiology Section, California Department of Public Health, Richmond, California, United States of America
                International Centre for Genetic Engineering and Biotechnology, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interest exist.

                Analyzed the data: DS CA. Contributed reagents/materials/analysis tools: DS SY CA MK. Wrote the paper: DS PS CA SY KR TK MK. Contributed with obtaining the grant and study design: DS TK MK.

                Article
                PONE-D-16-04678
                10.1371/journal.pone.0155624
                4877015
                27214204
                b4bde166-7c92-4656-8deb-ed787b8c5ec7
                © 2016 Salinas et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 February 2016
                : 2 May 2016
                Page count
                Figures: 3, Tables: 3, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100006108, National Center for Advancing Translational Sciences;
                Award ID: KL2TR000131
                This study received support from the National Institute of Health: SC-CTSI (NIH/NCRR/NCATS; Grant # KL2TR000131) and the Division of Pediatric Pulmonology at the Children’s Hospital Los Angeles.
                Categories
                Research Article
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Pseudomonas Aeruginosa
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Pseudomonas Aeruginosa
                Biology and Life Sciences
                Organisms
                Bacteria
                Pseudomonas
                Pseudomonas Aeruginosa
                Biology and Life Sciences
                Genetics
                Mutation
                People and places
                Geographical locations
                North America
                United States
                California
                Biology and Life Sciences
                Anatomy
                Body Fluids
                Sweat
                Medicine and Health Sciences
                Anatomy
                Body Fluids
                Sweat
                Biology and Life Sciences
                Physiology
                Body Fluids
                Sweat
                Medicine and Health Sciences
                Physiology
                Body Fluids
                Sweat
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Biology and Life Sciences
                Genetics
                Mutation
                Deletion Mutation
                Physical Sciences
                Chemistry
                Chemical Compounds
                Chlorides
                Medicine and Health Sciences
                Oncology
                Cancer Detection and Diagnosis
                Custom metadata
                The data will be available upon request as it belongs to the Genetic Disease Screening Program from the California Department of Public Health, which does not release data without a formal request made through the BioBank Program: https://www.cdph.ca.gov/programs/GDSP/Pages/California%20Biobank%20Program.aspx. In order to have access to the complete dataset used in this study, the investigator should contact the first author (Danieli B. Salinas at dsalinas@ 123456chla.usc.edu ) and Lisa Feuchtbaum, Dr.P.H., M.P.H. Lisa Feuchtbaum, Dr.P.H., M.P.H. Chief, Program Development & Evaluation Section Genetic Disease Screening Program California Department of Public Health 850 Marina Bay Parkway, F175, mailstop 8200 Richmond, CA 94804 (510) 412-1455 Lisa.Feuchtbaum@ 123456cdph.ca.gov

                Uncategorized
                Uncategorized

                Comments

                Comment on this article