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Elfatih A, Saad C, Mifsud B, Mbarek H. Analysis of 14,392 whole genomes reveals 3.5% of Qataris carry medically actionable variants. Eur J Hum Genet 2024; 32:1465-1473. [PMID: 39020067 PMCID: PMC11576737 DOI: 10.1038/s41431-024-01656-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 06/05/2024] [Accepted: 06/19/2024] [Indexed: 07/19/2024] Open
Abstract
Arabic populations are underrepresented in large genome projects; therefore, the frequency of clinically actionable variants among Arabs is largely unknown. Here, we investigated genetic variation in 14,392 whole genomes from the Qatar Genome Program (QGP) across the list of 78 actionable genes (v3.1) determined by the American College of Medical Genetics and Genomics (ACMG). Variants were categorized into one of the following groups: (1) Pathogenic (P), (2) Likely pathogenic (LP), and (3) Rare variants of uncertain significance with evidence of pathogenicity. For the classification, we used variant databases, effect predictors, and the disease-relevant phenotypes available for the cohort. Data on cardiovascular disease, cancer, and hypercholesterolemia allowed us to assess the disease-relevant phenotype association of rare missense variants. We identified 248 distinct variants in 50 ACMG genes that fulfilled our criteria to be included in one of the three groups affecting 1036 genotype-positive participants of the QGP cohort. The most frequent variants were in TTN, followed by RYR1 and ATP7B. The prevalence of reportable secondary findings was 3.5%. A further 46 heterozygous variants in six genes with an autosomal recessive mode of inheritance were detected in 200 individuals, accounting for an additional 1.4%. Altogether, they affect 5% of the population. Due to the high consanguinity rate in the QGP cohort (28% in spouses and 60% in parents), P and LP variants both in genes with dominant and recessive inheritance are important for developing better treatment options and preventive strategies in Qatar and the Arabic population of the Middle East.
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Affiliation(s)
- Amal Elfatih
- Hamad Bin Khalifa University, College of Health and Life Science, Genomics and Precision Medicine, Doha, Qatar
| | - Chadi Saad
- Qatar Genome Program, Qatar Foundation, Qatar Science and Technology Park, Innovation Center, Doha, Qatar
| | - Borbala Mifsud
- Hamad Bin Khalifa University, College of Health and Life Science, Genomics and Precision Medicine, Doha, Qatar.
- William Harvey Research Institute, Queen Mary University London, London, UK.
| | - Hamdi Mbarek
- Qatar Genome Program, Qatar Foundation, Qatar Science and Technology Park, Innovation Center, Doha, Qatar.
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Demir O, Saglam KA, Yilmaz M, Apuhan T, Cebi AH, Turkyilmaz A. Secondary findings in genes related to cancer phenotypes in Turkish exome sequencing data from 2020 individuals. Am J Med Genet A 2024; 194:e63806. [PMID: 38940262 DOI: 10.1002/ajmg.a.63806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/24/2024] [Accepted: 06/20/2024] [Indexed: 06/29/2024]
Abstract
Big data generated from exome sequencing (ES) and genome sequencing (GS) analyses can be used to detect actionable and high-penetrance variants that are not directly associated with the primary diagnosis of patients but can guide their clinical follow-up and treatment. Variants that are classified as pathogenic/likely pathogenic and are clinically significant but not directly associated with the primary diagnosis of patients are defined as secondary findings (SF). The aim of this study was to examine the frequency and variant spectrum of cancer-related SF in 2020 Turkish ES data and to discuss the importance of the presence of cancer-related SF in at-risk family members in terms of genetic counseling and follow-up. A total of 2020 patients from 2020 different families were evaluated by ES. SF were detected in 28 unrelated cases (1.38%), and variants in BRCA2 (11 patients) and MLH1 (4 patients) genes were observed most frequently. A total of 21 different variants were identified, with 4 of them (c.9919_9932del and c.3653del in the BRCA2 gene, c.2002A>G in the MSH2 gene, c.26_29del in the TMEM127 gene) being novel variations. In three different families, c.1189C>T (p.Gln397*) variation in BRCA2 gene was detected, suggesting that this may be a common variant in the Turkish population. This study represents the largest cohort conducted in the Turkish population, examining the frequency and variant spectrum of cancer-related SF. With the identification of frequent variations and the detection of novel variations, the findings of this study have contributed to the variant spectrum. Genetic testing conducted in family members is presented as real-life data, showcasing the implications in terms of counseling, monitoring, and treatment through case examples.
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Affiliation(s)
- Oguzhan Demir
- Department of Medical Genetics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Kubra Adanur Saglam
- Department of Medical Genetics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Mustafa Yilmaz
- Department of Medical Genetics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Tuna Apuhan
- Department of Medical Genetics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Alper Han Cebi
- Department of Medical Genetics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Ayberk Turkyilmaz
- Department of Medical Genetics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
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Kim SW, Kim B, Kim Y, Lee KA. Re-evaluation of a Fibrillin-1 Gene Variant of Uncertain Significance Using the ClinGen Guidelines. Ann Lab Med 2024; 44:271-278. [PMID: 37840311 PMCID: PMC10813823 DOI: 10.3343/alm.2023.0152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/25/2023] [Accepted: 09/12/2023] [Indexed: 10/17/2023] Open
Abstract
Background Marfan syndrome (MFS) is caused by fibrillin-1 gene (FBN1) variants. Mutational hotspots and/or well-established critical functional domains of FBN1 include cysteine residues, calcium-binding consensus sequences, and amino acids related to interdomain packaging. Previous guidelines for variant interpretation do not reflect the features of genes or related diseases. Using the Clinical Genome Resource (ClinGen) FBN1 variant curation expert panel (VCEP), we re-evaluated FBN1 germline variants reported as variants of uncertain significance (VUSs). Methods We re-evaluated 26 VUSs in FBN1 reported in 161 patients with MFS. We checked the variants in the Human Genome Mutation Database, ClinVar, and VarSome databases and assessed their allele frequencies using the gnomAD database. Patients' clinical information was reviewed. Results Four missense variants affecting cysteines (c.460T>C, c.1006T>C, c.5330G>C, and c.8020T>C) were reclassified as likely pathogenic and were assigned PM1_strong or PM1. Two intronic variants were reclassified as benign by granting BA1 (stand-alone). Four missense variants were reclassified as likely benign. BP5 criteria were applied in cases with an alternate molecular basis for disease, one of which (c.7231G>A) was discovered alongside a pathogenic de novo COL3A1 variant (c.1988G>T, p.Gly633Val). Conclusions Considering the high penetrance of FBN1 variants and clinical variability of MFS, the detection of pathogenic variants is important. The ClinGen FBN1 VCEP encompasses mutational hotspots and/or well-established critical functional domains and adjusts the criteria specifically for MFS; therefore, it is beneficial not only for identifying pathogenic FBN1 variants but also for distinguishing these variants from those that cause other connective tissue disorders with overlapping clinical features.
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Affiliation(s)
- Seo Wan Kim
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Boyeon Kim
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Yoonjung Kim
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Kyung-A Lee
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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Oladayo A, Gowans LJJ, Awotoye W, Alade A, Busch T, Naicker T, Eshete MA, Adeyemo WL, Hetmanski JB, Zeng E, Adamson O, Adeleke C, Li M, Sule V, Kayali S, Olotu J, Mossey PA, Obiri‐Yeboah S, Buxo CJ, Beaty T, Taub M, Donkor P, Marazita ML, Odukoya O, Adeyemo AA, Murray JC, Prince A, Butali A. Clinically actionable secondary findings in 130 triads from sub-Saharan African families with non-syndromic orofacial clefts. Mol Genet Genomic Med 2023; 11:e2237. [PMID: 37496383 PMCID: PMC10568375 DOI: 10.1002/mgg3.2237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/23/2023] [Accepted: 06/28/2023] [Indexed: 07/28/2023] Open
Abstract
INTRODUCTION The frequency and implications of secondary findings (SFs) from genomic testing data have been extensively researched. However, little is known about the frequency or reporting of SFs in Africans, who are underrepresented in large-scale population genomic studies. The availability of data from the first whole-genome sequencing for orofacial clefts in an African population motivated this investigation. METHODS In total, 130 case-parent trios were analyzed for SFs within the ACMG SFv.3.0 list genes. Additionally, we filtered for four more genes (HBB, HSD32B, G6PD and ACADM). RESULTS We identified 246 unique variants in 55 genes; five variants in four genes were classified as pathogenic or likely pathogenic (P/LP). The P/LP variants were seen in 2.3% (9/390) of the subjects, a frequency higher than ~1% reported for diverse ethnicities. On the ACMG list, pathogenic variants were observed in PRKAG (p. Glu183Lys). Variants in the PALB2 (p. Glu159Ter), RYR1 (p. Arg2163Leu) and LDLR (p. Asn564Ser) genes were predicted to be LP. CONCLUSION This study provides information on the frequency and pathogenicity of SFs in an African cohort. Early risk detection will help reduce disease burden and contribute to efforts to increase knowledge of the distribution and impact of actionable genomic variants in diverse populations.
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Affiliation(s)
- Abimbola Oladayo
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
- Iowa Institute for Oral Health ResearchUniversity of IowaIowa CityIowaUSA
| | - Lord Jephthah Joojo Gowans
- Iowa Institute for Oral Health ResearchUniversity of IowaIowa CityIowaUSA
- Department of Biochemistry and BiotechnologyKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Waheed Awotoye
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
- Iowa Institute for Oral Health ResearchUniversity of IowaIowa CityIowaUSA
| | - Azeez Alade
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
- Department of Epidemiology, College of Public HealthUniversity of IowaIowa CityIowaUSA
| | - Tamara Busch
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
| | - Thirona Naicker
- Department of PediatricsUniversity of KwaZulu‐NatalPinetownSouth Africa
| | - Mekonen A. Eshete
- School Medicine, Surgical DepartmentAddis Ababa UniversityAddis AbabaEthiopia
| | - Wasiu L. Adeyemo
- Department of Oral and Maxillofacial SurgeryUniversity of LagosLagosNigeria
| | - Jacqueline B. Hetmanski
- Department of EpidemiologySchool of Public Health Johns Hopkins UniversityBaltimoreMarylandUSA
| | - Erliang Zeng
- Division of Biostatistics and Computational Biology, College of DentistryUniversity of IowaIowa CityIowaUSA
| | - Olawale Adamson
- Department of Oral and Maxillofacial SurgeryUniversity of LagosLagosNigeria
| | - Chinyere Adeleke
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
| | - Mary Li
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
| | - Veronica Sule
- Department of Operative Dentistry, College of DentistryUniversity of IowaIowa CityIowaUSA
| | - Sami Kayali
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
| | - Joy Olotu
- Department of AnatomyUniversity of Port HarcourtPort HarcourtNigeria
| | | | - Solomon Obiri‐Yeboah
- Department of Surgery, School of Medicine and DentistryKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Carmen J. Buxo
- Dental and Craniofacial Genomics CoreUniversity of Puerto Rico School of Dental MedicineSan JuanPuerto RicoUSA
| | - Terri Beaty
- Department of EpidemiologySchool of Public Health Johns Hopkins UniversityBaltimoreMarylandUSA
| | - Margaret Taub
- Department of EpidemiologySchool of Public Health Johns Hopkins UniversityBaltimoreMarylandUSA
| | - Peter Donkor
- Department of Surgery, School of Medicine and DentistryKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Mary L. Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, and Department of Human Genetics, Graduate School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Oluwakemi Odukoya
- Department of Community Health and Primary Care, College of MedicineUniversity of LagosLagosNigeria
| | | | | | - Anya Prince
- College of LawUniversity of IowaIowa CityIowaUSA
| | - Azeez Butali
- Department of Oral Pathology, Radiology and Medicine, College of DentistryUniversity of IowaIowa CityIowaUSA
- Iowa Institute for Oral Health ResearchUniversity of IowaIowa CityIowaUSA
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Safonov A, Nomakuchi TT, Chao E, Horton C, Dolinsky JS, Yussuf A, Richardson M, Speare V, Li S, Bogus ZC, Bonanni M, Raper A, Kallish S, Ritchie MD, Nathanson KL, Drivas TG. A genotype-first approach identifies high incidence of NF1 pathogenic variants with distinct disease associations. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.08.23293676. [PMID: 37609227 PMCID: PMC10441497 DOI: 10.1101/2023.08.08.23293676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Loss of function variants in the NF1 gene cause neurofibromatosis type 1 (NF1), a genetic disorder characterized by complete penetrance, prevalence of 1 in 3,000, characteristic physical exam findings, and a substantially increased risk for malignancy. However, our understanding of the disorder is entirely based on patients ascertained through phenotype-first approaches. Leveraging a genotype-first approach in two large patient cohorts, we demonstrate unexpectedly high prevalence (1 in 450-750) of NF1 pathogenic variants. Half were identified in individuals lacking clinical features of NF1, with many appearing to have post-zygotic mosaicism for the identified variant. Incidentally discovered variants were not associated with classic NF1 features but were associated with an increased incidence of malignancy compared to a control population. Our findings suggest that NF1 pathogenic variants are substantially more common than previously thought, often characterized by somatic mosaicism and reduced penetrance, and are important contributors to cancer risk in the general population.
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Skrahin A, Cheema HA, Hussain M, Rana NN, Rehman KU, Kumar R, Oprea G, Ameziane N, Rolfs A, Skrahina V. Secondary findings in a large Pakistani cohort tested with whole genome sequencing. Life Sci Alliance 2023; 6:e202201673. [PMID: 36635046 PMCID: PMC9838216 DOI: 10.26508/lsa.202201673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 12/21/2022] [Accepted: 12/21/2022] [Indexed: 01/14/2023] Open
Abstract
Studies on genomic secondary findings (SFs) are diverse in participants' characteristics, sequencing methods, and versions of the ACMG SF list. Based on whole genome sequencing and the version 3.1 of the ACMG SF list, we studied SFs in 863 individuals from five different regions in Pakistan. We identified 24 ACMG SFs in 23 (2.7%) of 863 individuals: 18 of 24 were related to cardiovascular disease and four to cancer syndromes. In addition to ACMG SFs, we identified 16 (1.9%) participants with pathogenic and likely pathogenic variants in genes that were not related to the participants' clinical conditions but with clear medical actionability (non-ACMG SFs): 4 of 16 were related to eye diseases, two to metabolic disorders, and two to urinary system disorders. By testing a large Pakistani cohort with whole genome sequencing, we concluded that in countries such as Pakistan, the ACMG SF list could be expanded, and our non-ACMG SF list is one example.
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Affiliation(s)
| | - Huma Arshad Cheema
- University of Child Health Sciences, the Children's Hospital, Lahore, Pakistan
| | | | | | | | - Raman Kumar
- Liaquat National Hospital, Karachi, Pakistan
| | | | | | - Arndt Rolfs
- Arcensus GmbH, Rostock, Germany
- University of Rostock, Medical Faculty, Rostock, Germany
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Martone S, Buonagura AT, Marra R, Rosato BE, Del Giudice F, Bonfiglio F, Capasso M, Iolascon A, Andolfo I, Russo R. Clinical exome-based panel testing for medically actionable secondary findings in a cohort of 383 Italian participants. Front Genet 2022; 13:956723. [DOI: 10.3389/fgene.2022.956723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 10/19/2022] [Indexed: 11/11/2022] Open
Abstract
Background: Next-generation sequencing-based genetic testing represents a great opportunity to identify hereditary predispositions to specific pathological conditions and to promptly implement health surveillance or therapeutic protocols in case of disease. The term secondary finding refers to the active search for causative variants in genes associated with medically actionable conditions.Methods: We evaluated 59 medically actionable ACMG genes using a targeted in silico analysis of clinical exome sequencing performed in 383 consecutive individuals referred to our Medical Genetics Unit. A three-tier classification system of SFs for assessing their clinical impact and supporting a decision-making process for reporting was established.Results: We identified SFs with high/moderate evidence of pathogenicity in 7.0% (27/383) of analyzed subjects. Among these, 12/27 (44.4%) were carriers of a high-risk recessive disease allele. The most represented disease domains were cancer predisposition (33.3%), cardiac disorders (16.7%), and familial hypercholesterolemia (12.5%).Conclusion: Although still debated, ensuring during NGS-based genetic testing an opportunistic screening might be valuable for personal and familial early management and surveillance of medically actionable disorders, the individual’s reproductive choices, and the prevalence assessment of underestimated hereditary genetic diseases.
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Huang Y, Liu B, Shi J, Zhao S, Xu K, Sun L, Chen N, Tian W, Zhang J, Wu N. Landscape of Secondary Findings in Chinese Population: A Practice of ACMG SF v3.0 List. J Pers Med 2022; 12:jpm12091503. [PMID: 36143288 PMCID: PMC9504640 DOI: 10.3390/jpm12091503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/27/2022] [Accepted: 08/30/2022] [Indexed: 12/03/2022] Open
Abstract
Clinical exome sequencing (CES) has shown great utility in the diagnosis of Mendelian disorders. CES can unravel secondary findings (SFs) unrelated to the primary diagnosis but with potential health implications. The American College of Medical Genetics and Genomics (ACMG) has published a guideline for reporting secondary findings and recently updated an ACMG SF v3.0 list comprising 73 genes. Several studies have been performed to explore the prevalence of SFs. However, the data were limited in the Chinese population. In this study, we evaluated the genetic data of 2987 individuals from the Deciphering Disorders Involving Scoliosis and COmorbidities (DISCO) study group in accordance with the ACMG SF v3.0 list. The detected variants were evaluated using the ACMG classification guidelines, HGMD, and ClinVar database. Totally, 157 (157/2987, 5.3%) individuals had reportable variants within genes associated with cancer, cardiovascular, metabolic, and miscellaneous phenotypes. We identified 63 known pathogenic (KP) variants in 72 individuals (72/2987, 2.4%) and 96 expected pathogenic (EP) variants in 105 individuals (3.5%). Forty-five individuals carried SFs in v3.0 newly added genes, which accounted for 1.5% of our cohort. Our findings could contribute to existing knowledge of secondary findings in different ethnicities and indicate the necessity for clinicians to update the SFs gene list.
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Affiliation(s)
- Yingzhao Huang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Bowen Liu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jile Shi
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Sen Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Kexin Xu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Liying Sun
- Department of Hand Surgery, Beijing Jishuitan Hospital, Beijing 100035, China
| | - Na Chen
- Department of Obstetrics and Gynecology, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Wen Tian
- Department of Hand Surgery, Beijing Jishuitan Hospital, Beijing 100035, China
| | - Jianguo Zhang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Nan Wu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
- Correspondence:
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Rodríguez-Salgado LE, Silva-Aldana CT, Medina-Méndez E, Bareño-Silva J, Arcos-Burgos M, Silgado-Guzmán DF, Restrepo CM. Frequency of actionable Exomic secondary findings in 160 Colombian patients: Impact in the healthcare system. Gene 2022; 838:146699. [PMID: 35803546 DOI: 10.1016/j.gene.2022.146699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 06/11/2022] [Accepted: 06/24/2022] [Indexed: 11/25/2022]
Abstract
INTRODUCTION By 2021, the American College of Medical Genetics and Genomics (ACMG) published the last version of their secondary findings (SF) reporting recommendations for cases in which a person receives a genetic test. OBJECTIVE To determine in a sample of the Colombian population the prevalence of SF for the 59 genes on the ACMG SF v2.0 list associated with 27 genetic diseases. MATERIALS AND METHODS An analytical cross-sectional study was developed by examining the sequences of 160 exomes. Based on the ACMG guidelines, a variant classification algorithm was designed to filter and select reportable SF. RESULTS Eleven pathogenic variants were identified in 13/160 (8.13%) patients in genes APOB, BRCA2, CACNA1S, COL3A1, LDLR, MYBPC3, PCSK9, PKP2, PMS2 and RYR2. No association was found between the sociodemographic variables and the SF to report (P > 0,05). CONCLUSION We reported the first approach of actionable pathogenic variants spectrum in the Colombian population. Given the frequency found in this study and the clinical impact of genomic variants on health, it is essential to actively search for SF having the opportunity to receive genetic counselling, prevention and clinical management.
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Affiliation(s)
| | | | | | - José Bareño-Silva
- School of Medicine, Mental Health Research Group, CES University, Medellin, Colombia
| | - Mauricio Arcos-Burgos
- Research Group on Psychiatric Disorders (GIPSI), Department of Psychiatry, Institute of Medical Research, School of Medicine, University of Antioquia, Medellín, Colombia
| | | | - Carlos M Restrepo
- Center for Research in Genetics and Genomics (CIGGUR), GeniURos Research Group, School of Medicine and Health Sciences, University of Rosario, Bogotá, Colombia.
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Zakeri M, Safaiee MS, Taheri F, Taghizadeh E, Ferns GA, Mobarhan MG, Pasdar A. Secondary findings from whole-exome sequencing data in families with familial combined hyperlipidemia (FCHL). EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2021. [DOI: 10.1186/s43042-021-00195-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
During the interpretation of genome sequencing data, some types of secondary findings are identified that are located in genes that do not appear to be related to the causes of the primary disease. Although these are not the primary targets for evaluation, they have a high risk for some diseases different from the primary disease. Therefore, they can be vital for preventing and intervention from such disease.
Results
Here, we analyzed secondary findings obtained from WES in 6 families with FCHL disease who had an autosomal-dominant pattern based on their pedigrees. These finding are found in CDKAL1, ITGA2, FAM111A, WNK4, PTGIS, SCN10, TBX20, DCHS1, ANK2 and ABCA1 genes.
Conclusions
Secondary findings are very important and must be considered different variants from sequencing results in a diagnostic setting. Although we have considered these variants as secondary findings, some of them may be related to the primary disease.
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Chetruengchai W, Shotelersuk V. Actionable secondary findings in the 73 ACMG-recommended genes in 1559 Thai exomes. J Hum Genet 2021; 67:137-142. [PMID: 34621001 PMCID: PMC9022721 DOI: 10.1038/s10038-021-00982-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 12/25/2022]
Abstract
High-throughput DNA sequencing provides not only primary diagnosis but also makes available other genetic variants with potential health implications. the American College of Medical Genetics and Genomics (ACMG) has recommended a list of medically actionable genes since 2013 and very recently released an updated ACMG SF v3.0 list comprising 73 genes. Here, we analyzed exome data of 1559 unrelated Thai individuals to determine the frequency and spectrum of pathogenic (P) or likely pathogenic (LP) variants in the 73 genes. Based on the ACMG guidelines for the interpretation of sequence variants, 68 different P/LP variants in 26 genes associated with 18 diseases inherited in an autosomal-dominant manner of 186 individuals (11.9%; 186/1559) were identified. Of these, 22 P/LP variants in 15 genes associated with 13 diseases of 85 individuals (5.5%; 85/1559) were also reported as P/LP in the ClinVar archive. The majority harbored variants in genes related to cardiovascular diseases (4.7%; 74/1559), followed by cancer phenotypes (0.5%; 8/1559). None of the individuals in our cohort harbored biallelic variants in genes responsible for diseases inherited in an autosomal recessive manner. The results would serve as a basis for precision medicine practice at individual and population levels.
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Affiliation(s)
- Wanna Chetruengchai
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand.,Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Interdisciplinary Program of Biomedical Sciences, Graduate School, Chulalongkorn University, Bangkok, Thailand
| | - Vorasuk Shotelersuk
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand. .,Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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12
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Elfatih A, Mohammed I, Abdelrahman D, Mifsud B. Frequency and management of medically actionable incidental findings from genome and exome sequencing data; A systematic review. Physiol Genomics 2021; 53:373-384. [PMID: 34250816 DOI: 10.1152/physiolgenomics.00025.2021] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The application of whole genome/exome sequencing technologies in clinical genetics and research has resulted in the discovery of incidental findings unrelated to the primary purpose of genetic testing. The American College of Medical Genetics and Genomics published guidelines for reporting pathogenic and likely pathogenic variants that are deemed to be medically actionable, which allowed us to learn about the epidemiology of incidental findings in different populations. However, consensus guidelines for variant reporting and classification are still lacking. We conducted a systematic literature review of incidental findings in whole genome/exome sequencing studies to obtain a comprehensive understanding of variable reporting and classification methods for variants that are deemed to be medically actionable across different populations. The review highlights the elements that demand further consideration or adjustment.
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Affiliation(s)
- Amal Elfatih
- College of Health and Life Sciences, Hamad bin Khalifa University, Doha, Qatar
| | - Idris Mohammed
- College of Health and Life Sciences, Hamad bin Khalifa University, Doha, Qatar
| | - Doua Abdelrahman
- Integrated Genomics Services, Translational Research, Research Branch, Sidra Medicine, Doha, Qatar
| | - Borbala Mifsud
- College of Health and Life Sciences, Hamad bin Khalifa University, Doha, Qatar.,William Harvey Research Institute, Queen Mary University London, London, UK
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13
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Secondary findings in 622 Turkish clinical exome sequencing data. J Hum Genet 2021; 66:1113-1119. [PMID: 34050257 DOI: 10.1038/s10038-021-00936-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 11/08/2022]
Abstract
CES (Clinical Exome Sequencing) is a method that we use to diagnose rare diseases with nonspesific clinical features. Besides primary indication for testing genetic information may be detected about diseases which have not yet emerged. ACMG guidelines recommend to report pathogenic variations in medically actionable 59 genes. In this study we evaluated CES data of 622 cases which were tested for various indications. According to ACMG recommendations 59 genes were screened for reportable variations. The detected variations were reviewed using distinct databases and ACMG variation classification guidelines. Among 622 cases 13 (2.1%) had reportable variations including oncogenetic, cardiogenetic disorders, and malignant hyperthermia susceptibility-related genes. In 15 cases (2.4%) heterozygous pathogenic and likely pathogenic variations were detected in genes showing autosomal recessive inheritance. Ten novel variations causing truncated protein or splicing defect were reported. We detected 11 variations having conflicting interpretations in databases and 30 novel variations, predicted as likely pathogenic via insilico analysis tools which further evaluations are needed. As to our knowledge this is the first study investigating secondary findings in Turkish population. To extract the information that may lead to prevent severe morbidities and mortalities from big data is a valuable and lifesaving effort. Results of this study will contrbute to existing knowledge about secondary findings in exome sequencing and will be a pioneer for studies in Turkish population.
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