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      Analysis of 3208 cystic fibrosis prenatal diagnoses: Impact of carrier screening guidelines on distribution of indications for CFTR mutation and IVS-8 poly(T) analyses

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      Genetics in Medicine
      Ovid Technologies (Wolters Kluwer Health)

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          Mutations in the cystic fibrosis gene in patients with congenital absence of the vas deferens.

          Congenital bilateral absence of the vas deferens (CBAVD) is a form of male infertility in which mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene have been identified. The molecular basis of CBAVD is not completely understood. Although patients with cystic fibrosis have mutations in both copies of the CFTR gene, most patients with CBAVD have mutations in only one copy of the gene. To investigate CBAVD at the molecular level, we have characterized the mutations in the CFTR gene in 102 patients with this condition. None had clinical manifestations of cystic fibrosis. We also analyzed a DNA variant (the 5T allele) in a noncoding region of CFTR that causes reduced levels of the normal CFTR protein. Parents of patients with cystic fibrosis, patients with types of infertility other than CBAVD, and normal subjects were studied as controls. Nineteen of the 102 patients with CBAVD had mutations in both copies of the CFTR gene, and none of them had the 5T allele. Fifty-four patients had a mutation in one copy of CFTR, and 34 of them (63 percent) had the 5T allele in the other CFTR gene. In 29 patients no CFTR mutations were found, but 7 of them (24 percent) had the 5T allele. In contrast, the frequency of this allele in the general population was about 5 percent. Most patients with CBAVD have mutations in the CFTR gene. The combination of the 5T allele in one copy of the CFTR gene with a cystic fibrosis mutation in the other copy is the most common cause of CBAVD: The 5T allele mutation has a wide range of clinical presentations, occurring in patients with CBAVD or moderate forms of cystic fibrosis and in fertile men.
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            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.
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              A mutation in CFTR produces different phenotypes depending on chromosomal background.

              Cystic fibrosis (CF) is caused by mutations in the CF transmembrane conductance regulator (CFTR) gene but the association between mutation (genotype) and disease presentation (phenotype) is not straightforward. We have been investigating whether variants in the CFTR gene that alter splicing efficiency of exon 9 can affect the phenotype produced by a mutation. A missense mutation, R117H, which has been observed in three phenotypes, was found to occur on two chromosome backgrounds with intron 8 variants that have profoundly different effects upon splicing efficiency. A close association is shown between chromosome background of the R117H mutation and phenotype. These findings demonstrate that the genetic context in which a mutation occurs can play a significant role in determining the type of illness produced.
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                Author and article information

                Journal
                Genetics in Medicine
                Genet Med
                Ovid Technologies (Wolters Kluwer Health)
                1098-3600
                1530-0366
                October 2004
                October 2004
                : 6
                : 5
                : 400-404
                Article
                10.1097/01.GIM.0000139504.05850.4B
                68f4a2d9-5f45-4074-9f89-a86738659d9a
                © 2004
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