Literature DB >> 36174988

Pathogenic Variants Spectrum and Allele Frequency of the CFTR Gene in Asians.

Jong-Won Kim1.   

Abstract

Entities:  

Year:  2022        PMID: 36174988      PMCID: PMC9523414          DOI: 10.4168/aair.2022.14.5.444

Source DB:  PubMed          Journal:  Allergy Asthma Immunol Res        ISSN: 2092-7355            Impact factor:   5.096


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Cystic fibrosis (CF; OMIM #219700) is an autosomal recessive disease caused by the abnormal transport of ions and fluid across epithelial cell membranes. Mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) are responsible for the disease.1 CFTR gene consists of 27 exons (OMIM *602421) and forms 1,480 amino acids.1 Clinical manifestations of CF are pulmonary diseases, pancreatic insufficiency, malabsorption, meconium ileus, failure to thrive, infertility, and elevated chloride concentrations in sweat.2 According to the American Cystic Fibrosis Foundation patient registry, there are more than 30,000 CF patients in the United States and more than 70,000 worldwide.3 It is most commonly found in populations with northern European ancestry where the incidence rate is as high as 1 in 2,000 to 3,000 live births. Their predominant mutation is Phe508del (F508Del). In the United States, CF occurs in approximately 1:15,000 blacks, 1:35,000 individuals of Asian descent, and 1:10,800 Native Americans.4 Nonwhite patients with CF show a wider range of mutations with the F508Del mutation being much less prevalent. Recent advancements in understanding the CFTR gene function and mutational effect on the host developed CFTR gene modulator therapy.56 Modulating drug of Ivacaftor, lumacaftor/ivacaftor, tezacaftor/ivacaftor, elexacaftor/tezacaftor/ivacaftor has been approved and applied to patients with specific type mutations.7 Therefore, mutation identification is essential not just for the diagnosis but for the selection of drugs and specific care. CFTR gene mutations are classified into 6 categories according to the type of CFTR defect.1 Class I mutations do not produce functional CFTR protein and include nonsense, frameshift, and canonical splicing variants such as Gly542X, Trp1282X, Arg553X, and 621+1G>T. In class 2, CFTR shows a trafficking defect, and CFTR genes are missense and amino acid deletion such as F508del, Asn1303Lys Ile507del, Arg560Thr, etc. Class 3 mutations are missense and amino acid changes such as Gly551Asp, Gly178Arg, Gly551Ser, Ser549Asn, etc., and lead to defective channel regulation. In class 4 mutations, CFTR proteins do not function through the decreased channel conductance and include missense and amino acid changes such as Arg117His, Arg347Pro, Arg117Cys, Arg334Trp, etc. In class 5, CFTR protein synthesis is reduced, and mutations are splicing defects and missense changes like 3849+10kbC>T, 2789_5G>A, 3120+1G>A, 5T, etc. Class 6 mutations are missense and amino acid changes such as 4326delTC, Gln1412X, 4279insA, etc., and result in decreased CFTR stability. The classification of the identified mutations is very important in every ethnic group because of the selection and combinations of CFTR modulator drugs. So far, Asian patients with CF have been reported relatively few, except Chinese patients.89101112131415 Asian patients do not have a worse clinical phenotype.16 Asian patients show lower sweat chloride and higher pancreatic sufficiency than non-Asian patients. The reported mutations from Asian patients are quite different from those from Europeans. Among 140 mutations from Caucasians, only 21 mutations share with Chinese, who do not share another 32 mutations. Among the mutations found in Chinese patients with CF, 60.4% {32/(21 + 32)} are Chinese-specific.15 The other Asian ethnic groups have not been well studied on the scale of population aspect. Based on the literature, Asian ethnic groups can be divided into 2 groups: East Asians (EAS) including Chinese, Korean, and Japanese, and non-East Asians (ANE) including Southeast Asians and Middle East Asians.89101112131415 Reported (likely) pathogenic variants (LPV/PV) from literature are listed and compared between EAS and ANE. A reported number of LPV/PV types are 160 for EAS and 106 for ANE. Overlapped variants are 18 and account for relatively a small portion of each group (for EAS, 18/160 = 11%, ANE, 18/106 = 17%) (Figure A). The next question is how much LPV/PV appears in each ethnic group and overlaps. Recently, population genome sequencing databases have been established, and the gnomAD is the largest.17 In the gnomAD data, 34,029 genomes are represented for non-Finnish Europeans (NFE), 2,604 for EAS, and 2,577 for ANE (Southeast Asians, 2,419 genomes and Middle East Asians 158 genomes). When the variants from the CFTR2 database (www.cftr2.org) were applied to the gnomAD database, 401 CF-causing variants and 49 variants of varying clinical consequences are included as PV/LPVs. Only 10 variants appeared in EAS and 18 in ANE (Figure B). A relatively small number of the Asian population genome is included in the gnomAD compared to the European population, and this number does not reflect the accurate feature of the mutation spectrum among different ethnic groups. Based on gnomAD allele count, the LPV/PV allele frequencies can be counted in each ethnic group. For the NFE group, allele frequency is 0.00725 as a whole. In contrast, it is 0.00327 for EAS and 0.01304 for ANE. Surprisingly, the ANE group shows higher allele frequency than Europeans. Considering the relatively small number of population (2,577 genomes), a larger population genome and clinical detection of patients with CF or population screening of patients with CF need to justify this finding. Also, the EAS and ANE groups show a broad mutation spectrum and heterogeneity. It implicates the detection, identification, and functional classification of PV/LPVs from patients with CF in the Asian ethnic group is critical.
Figure

Comparison of CFTR LPV/PV. (A) LPV/PVs from the literature. Within the Asian area, EAS and ANE (Southeast Asians and Middle East Asians) share a minor portion of variants. (B) In the gnomAD database, the number of LPV/PVs in each ethnic group is counted according to the CFTR2 database. CF-causing and Varying clinical consequence variants are counted as LPV/PV.

CFTR, cystic fibrosis transmembrane conductance regulator; LPV/PV, (likely) pathogenic variants; EAS, East Asian (2,604 genomes); ANE, non-East Asian (2,577 genomes) are counted as Southeast Asians (2,419 genomes) and Middle East Asians (158 genomes); NFE, non-Finnish European (34,029 genomes).

  15 in total

1.  Clinical sensitivity of prenatal screening for cystic fibrosis via CFTR carrier testing in a United States panethnic population.

Authors:  Glenn E Palomaki; Stacey C FitzSimmons; James E Haddow
Journal:  Genet Med       Date:  2004 Sep-Oct       Impact factor: 8.822

2.  Deletion of exons 16-17b of CFTR is frequently identified in Korean patients with cystic fibrosis.

Authors:  Young Bae Sohn; Jung Min Ko; Ju Young Jang; Moon-Woo Seong; Sung Sup Park; Dong In Suh; Jae Sung Ko; Choong-Ho Shin
Journal:  Eur J Med Genet       Date:  2019-05-25       Impact factor: 2.708

3.  Ethnicity impacts the cystic fibrosis diagnosis: A note of caution.

Authors:  Barbara Bosch; Diana Bilton; Patrick Sosnay; Karen S Raraigh; Denise Y F Mak; Hiroshi Ishiguro; Vincent Gulmans; Muriel Thomas; Harry Cuppens; Margarida Amaral; Kris De Boeck
Journal:  J Cyst Fibros       Date:  2017-02-21       Impact factor: 5.482

Review 4.  Heterogeneous spectrum of CFTR gene mutations in Chinese patients with CAVD and the dilemma of genetic blocking strategy.

Authors:  Jiarong Feng; Yanan Zhang; Xiaojian Yang; Yan Zhang
Journal:  Reproduction       Date:  2022-07-14       Impact factor: 3.923

Review 5.  Cystic fibrosis.

Authors:  J Stuart Elborn
Journal:  Lancet       Date:  2016-04-29       Impact factor: 79.321

6.  Identification of a novel cystic fibrosis mutation in three patients of South Asian descent.

Authors:  Aisling Semple; Tara Clark; Nicholas M Allen; Thanuja Krishnananthan; Chinedu Nwokoro; Emmanuelle Girodon; Michele Porzio; Mary Herzig
Journal:  Clin Respir J       Date:  2020-03-13       Impact factor: 2.570

Review 7.  The future of cystic fibrosis care: a global perspective.

Authors:  Scott C Bell; Marcus A Mall; Hector Gutierrez; Milan Macek; Susan Madge; Jane C Davies; Pierre-Régis Burgel; Elizabeth Tullis; Claudio Castaños; Carlo Castellani; Catherine A Byrnes; Fiona Cathcart; Sanjay H Chotirmall; Rebecca Cosgriff; Irmgard Eichler; Isabelle Fajac; Christopher H Goss; Pavel Drevinek; Philip M Farrell; Anna M Gravelle; Trudy Havermans; Nicole Mayer-Hamblett; Nataliya Kashirskaya; Eitan Kerem; Joseph L Mathew; Edward F McKone; Lutz Naehrlich; Samya Z Nasr; Gabriela R Oates; Ciaran O'Neill; Ulrike Pypops; Karen S Raraigh; Steven M Rowe; Kevin W Southern; Sheila Sivam; Anne L Stephenson; Marco Zampoli; Felix Ratjen
Journal:  Lancet Respir Med       Date:  2019-09-27       Impact factor: 30.700

8.  Differences in gene mutations between Chinese and Caucasian cystic fibrosis patients.

Authors:  Baoying Zheng; Ling Cao
Journal:  Pediatr Pulmonol       Date:  2016-10-07

9.  Systematic estimation of cystic fibrosis prevalence in Chinese and genetic spectrum comparison to Caucasians.

Authors:  Qi Ni; Xiang Chen; Ping Zhang; Lin Yang; Yulan Lu; Feifan Xiao; Bingbing Wu; Huijun Wang; Wenhao Zhou; Xinran Dong
Journal:  Orphanet J Rare Dis       Date:  2022-03-21       Impact factor: 4.123

10.  The mutational constraint spectrum quantified from variation in 141,456 humans.

Authors:  Konrad J Karczewski; Laurent C Francioli; Grace Tiao; Beryl B Cummings; Jessica Alföldi; Qingbo Wang; Ryan L Collins; Kristen M Laricchia; Andrea Ganna; Daniel P Birnbaum; Laura D Gauthier; Harrison Brand; Matthew Solomonson; Nicholas A Watts; Daniel Rhodes; Moriel Singer-Berk; Eleina M England; Eleanor G Seaby; Jack A Kosmicki; Raymond K Walters; Katherine Tashman; Yossi Farjoun; Eric Banks; Timothy Poterba; Arcturus Wang; Cotton Seed; Nicola Whiffin; Jessica X Chong; Kaitlin E Samocha; Emma Pierce-Hoffman; Zachary Zappala; Anne H O'Donnell-Luria; Eric Vallabh Minikel; Ben Weisburd; Monkol Lek; James S Ware; Christopher Vittal; Irina M Armean; Louis Bergelson; Kristian Cibulskis; Kristen M Connolly; Miguel Covarrubias; Stacey Donnelly; Steven Ferriera; Stacey Gabriel; Jeff Gentry; Namrata Gupta; Thibault Jeandet; Diane Kaplan; Christopher Llanwarne; Ruchi Munshi; Sam Novod; Nikelle Petrillo; David Roazen; Valentin Ruano-Rubio; Andrea Saltzman; Molly Schleicher; Jose Soto; Kathleen Tibbetts; Charlotte Tolonen; Gordon Wade; Michael E Talkowski; Benjamin M Neale; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2020-05-27       Impact factor: 69.504

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