William B Hannah1, Bryce A Seifert2, Rebecca Truty3, Maimoona A Zariwala4, Kristen Ameel5, Yi Zhao6, Keith Nykamp3, Benjamin Gaston7. 1. Department of Genetics, University of North Carolina, Chapel Hill, NC, USA. 2. Department of Pathology, Duke University School of Medicine, Durham, NC, USA. 3. Invitae, San Francisco, CA, USA. 4. Department of Pathology and Laboratory Medicine, Marsico Lung Institute, University of North Carolina, Chapel Hill, NC, USA. 5. University of Utah School of Medicine, Salt Lake City, UT, USA. 6. Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA. 7. Herman Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA. Electronic address: begaston@iu.edu.
Abstract
BACKGROUND: Primary ciliary dyskinesia (PCD) is a motile ciliopathy characterised by otosinopulmonary infections. Inheritance is commonly autosomal recessive, with extensive locus and allelic heterogeneity. The prevalence is uncertain. Most genetic studies have been done in North America or Europe. The aim of the study was to estimate the worldwide prevalence and ethnic heterogeneity of PCD. METHODS: We calculated the allele frequency of disease-causing variants in 29 PCD genes associated with autosomal recessive inheritance in 182 681 unique individuals to estimate the global prevalence of PCD in seven ethnicities (African or African American, Latino, Ashkenazi Jewish, Finnish, non-Finnish European, east Asian, and south Asian). We began by aggregating variants that had been interpreted by Invitae, San Francisco, CA, USA, a genetics laboratory with PCD expertise. We then determined the allele frequency of each variant (pathogenic, likely pathogenic, or variant of uncertain significance [VUS]) in the Genome Aggregation Database (gnomAD), a publicly available next-generation sequencing database that aggregates exome and genome sequencing information from a wide variety of large-scale projects and stratifies allele counts by ethnicity. Using the Hardy-Weinberg equilibrium equation, we were able to calculate a lower-end prevalence of PCD for each ethnicity by including only pathogenic and likely pathogenic variants; and upper-end prevalence by also including VUS. This approach was similar to previous work on Li-Fraumeni (TP53 variants) prevalence. We were not diagnosing PCD, but rather estimating prevalence based on known variants. FINDINGS: The overall minimum global prevalence of PCD is calculated to be at least one in 7554 individuals, although this is likely to be an underestimate because some variants currently classified as VUS might be disease-causing and some pathogenic variants might not be detected by our methods. In the overall cohort, Invitae data could be included for variants without gnomAD data for a primary ethnicity. When using only gnomAD allele frequencies to calculate prevalence in individual ethnicities, the estimated prevalence of PCD was lower in each ethnicity compared with the overall cohort. This is because the overall cohort includes additional data from the Invitae database such as copy number variants and other variants not present in gnomAD. With gnomAD we found the expected PCD frequency to be higher in individuals of African ancestry than in most other populations (excluding VUS: 1 in 9906 in African or African American vs 1 in 10 388 in non-Finnish European vs 1 in 14 606 in east Asian vs 1 in 16 309 in Latino; including VUS: 1 in 106 in African or African American vs 1 in 178 in non-Finnish European vs 1 in 196 in Latino vs 1 in 188 in east Asian). In addition, we found that the top 5 genes most commonly implicated in PCD differed across ethnic ancestries and contrasted commonly published findings. INTERPRETATION: PCD appears to be more common than has been recognised, particularly in individuals of African ancestry. We identified gene distributions that differ from those in previous European and North American studies. These results could have an international impact on case identification. Our analytic approach can be expanded as more PCD loci are identified, and could be adapted to study the prevalence of other inherited diseases. FUNDING: None.
BACKGROUND: Primary ciliary dyskinesia (PCD) is a motile ciliopathy characterised by otosinopulmonary infections. Inheritance is commonly autosomal recessive, with extensive locus and allelic heterogeneity. The prevalence is uncertain. Most genetic studies have been done in North America or Europe. The aim of the study was to estimate the worldwide prevalence and ethnic heterogeneity of PCD. METHODS: We calculated the allele frequency of disease-causing variants in 29 PCD genes associated with autosomal recessive inheritance in 182 681 unique individuals to estimate the global prevalence of PCD in seven ethnicities (African or African American, Latino, Ashkenazi Jewish, Finnish, non-Finnish European, east Asian, and south Asian). We began by aggregating variants that had been interpreted by Invitae, San Francisco, CA, USA, a genetics laboratory with PCD expertise. We then determined the allele frequency of each variant (pathogenic, likely pathogenic, or variant of uncertain significance [VUS]) in the Genome Aggregation Database (gnomAD), a publicly available next-generation sequencing database that aggregates exome and genome sequencing information from a wide variety of large-scale projects and stratifies allele counts by ethnicity. Using the Hardy-Weinberg equilibrium equation, we were able to calculate a lower-end prevalence of PCD for each ethnicity by including only pathogenic and likely pathogenic variants; and upper-end prevalence by also including VUS. This approach was similar to previous work on Li-Fraumeni (TP53 variants) prevalence. We were not diagnosing PCD, but rather estimating prevalence based on known variants. FINDINGS: The overall minimum global prevalence of PCD is calculated to be at least one in 7554 individuals, although this is likely to be an underestimate because some variants currently classified as VUS might be disease-causing and some pathogenic variants might not be detected by our methods. In the overall cohort, Invitae data could be included for variants without gnomAD data for a primary ethnicity. When using only gnomAD allele frequencies to calculate prevalence in individual ethnicities, the estimated prevalence of PCD was lower in each ethnicity compared with the overall cohort. This is because the overall cohort includes additional data from the Invitae database such as copy number variants and other variants not present in gnomAD. With gnomAD we found the expected PCD frequency to be higher in individuals of African ancestry than in most other populations (excluding VUS: 1 in 9906 in African or African American vs 1 in 10 388 in non-Finnish European vs 1 in 14 606 in east Asian vs 1 in 16 309 in Latino; including VUS: 1 in 106 in African or African American vs 1 in 178 in non-Finnish European vs 1 in 196 in Latino vs 1 in 188 in east Asian). In addition, we found that the top 5 genes most commonly implicated in PCD differed across ethnic ancestries and contrasted commonly published findings. INTERPRETATION: PCD appears to be more common than has been recognised, particularly in individuals of African ancestry. We identified gene distributions that differ from those in previous European and North American studies. These results could have an international impact on case identification. Our analytic approach can be expanded as more PCD loci are identified, and could be adapted to study the prevalence of other inherited diseases. FUNDING: None.
Authors: C E Kuehni; T Frischer; M-P F Strippoli; E Maurer; A Bush; K G Nielsen; A Escribano; J S A Lucas; P Yiallouros; H Omran; E Eber; C O'Callaghan; D Snijders; A Barbato Journal: Eur Respir J Date: 2010-06-07 Impact factor: 16.671
Authors: Nada Hornef; Heike Olbrich; Judit Horvath; Maimoona A Zariwala; Manfred Fliegauf; Niki Tomas Loges; Johannes Wildhaber; Peadar G Noone; Marcus Kennedy; Stylianos E Antonarakis; Jean-Louis Blouin; Lucia Bartoloni; Thomas Nüsslein; Peter Ahrens; Matthias Griese; Heiner Kuhl; Ralf Sudbrak; Michael R Knowles; Richard Reinhardt; Heymut Omran Journal: Am J Respir Crit Care Med Date: 2006-04-20 Impact factor: 21.405
Authors: Maimoona A Zariwala; Margaret W Leigh; Franck Ceppa; Marcus P Kennedy; Peadar G Noone; Johnny L Carson; Milan J Hazucha; Adriana Lori; Judit Horvath; Heike Olbrich; Niki T Loges; Anne-Marie Bridoux; Gaëlle Pennarun; Bénédicte Duriez; Estelle Escudier; Hannah M Mitchison; Rahul Chodhari; Eddie M K Chung; Lucy C Morgan; Robbert U de Iongh; Jonathan Rutland; Ugo Pradal; Heymut Omran; Serge Amselem; Michael R Knowles Journal: Am J Respir Crit Care Med Date: 2006-07-20 Impact factor: 21.405
Authors: Adam J Shapiro; Stephanie D Davis; Deepika Polineni; Michele Manion; Margaret Rosenfeld; Sharon D Dell; Mark A Chilvers; Thomas W Ferkol; Maimoona A Zariwala; Scott D Sagel; Maureen Josephson; Lucy Morgan; Ozge Yilmaz; Kenneth N Olivier; Carlos Milla; Jessica E Pittman; M Leigh Anne Daniels; Marcus Herbert Jones; Ibrahim A Janahi; Stephanie M Ware; Sam J Daniel; Matthew L Cooper; Lawrence M Nogee; Billy Anton; Tori Eastvold; Lynn Ehrne; Elena Guadagno; Michael R Knowles; Margaret W Leigh; Valery Lavergne Journal: Am J Respir Crit Care Med Date: 2018-06-15 Impact factor: 21.405
Authors: Raymond H Kim; David A Hall; Ernest Cutz; Michael R Knowles; Kathleen A Nelligan; Keith Nykamp; Maimoona A Zariwala; Sharon D Dell Journal: Ann Am Thorac Soc Date: 2014-03
Authors: Anastasia M Fedick; Chaim Jalas; Nathan R Treff; Michael R Knowles; Maimoona A Zariwala Journal: Mol Genet Genomic Med Date: 2014-12-06 Impact factor: 2.183
Authors: Rebecca Truty; Joshua Paul; Michael Kennemer; Stephen E Lincoln; Eric Olivares; Robert L Nussbaum; Swaroop Aradhya Journal: Genet Med Date: 2018-06-12 Impact factor: 8.822
Authors: Wilfredo De Jesús-Rojas; José Muñiz-Hernández; Francisco Alvarado-Huerta; Jesús M Meléndez-Montañez; Arnaldo J Santos-López; Ricardo A Mosquera Journal: Diagnostics (Basel) Date: 2022-05-02
Authors: Kim G Nielsen; Mathias G Holgersen; Suzanne Crowley; June K Marthin Journal: Am J Med Genet C Semin Med Genet Date: 2022-03-29 Impact factor: 3.359
Authors: Renate Kos; Joël Israëls; Christine D L van Gogh; Josje Altenburg; Sandra Diepenhorst; Tamara Paff; Elles M J Boon; Dimitra Micha; Gerard Pals; Anne H Neerincx; Anke H Maitland-van der Zee; Eric G Haarman Journal: Am J Med Genet C Semin Med Genet Date: 2022-03-27 Impact factor: 3.359