Literature DB >> 33753912

Is it time to report carrier state for recessive disorders in every microarray analysis?-A pilot model based on hearing loss genes deletions.

Idit Maya1,2, Lina Basel-Salmon1,2,3, Lena Sagi-Dain4.   

Abstract

This study aimed to examine the implications of reporting heterozygous losses of recessive genes in Chromosomal Microarray Analysis (CMA), based on the incidence of microdeletions of three common hearing impairment genes in the local cohort and the prevalence of sequence variants in these genes in worldwide databases. Prevalence of heterozygous microdeletions in OTOA and STRC genes, as well as deletions in the DFNB1 locus encompassing GJB6 gene, was determined using electronic database of Rabin Medical Center. ClinVar archive and Deafness Variation Database were used to generate a list of clinically significant sequence variants in these three genes, as well as GJB2 gene, and estimation of the frequency of sequence variants was performed. Of the 19,189 CMA tests were performed in our laboratory, 107 STRC microdeletions were found (0.56%), followed in frequency by OTOA deletions (39, 0.2%), and DFNB1 locus deletions (10, 0.05%). The estimated risk for a hearing loss in the examined individual carrying the microdeletion was estimated as 0.11-0.67% for STRC, 0.016-0.13% for OTOA, and 1.9-7.5% in the DFNB1 locus (including double heterozygocity with GJB2 clinically significant sequence variants). The risks were higher in specific populations. In conclusion, we believe that that general decision whether to report or to disregard such incidental findings cannot be part of a uniform policy, but rather based on a detailed evaluation of origin-specific variants for each gene, with a careful consideration and discussion whether to include the microdeletion in the final report for each patient.
© 2021. The Author(s), under exclusive licence to European Society of Human Genetics.

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Year:  2021        PMID: 33753912      PMCID: PMC8384849          DOI: 10.1038/s41431-021-00856-3

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   5.351


  19 in total

Review 1.  Forty-six genes causing nonsyndromic hearing impairment: which ones should be analyzed in DNA diagnostics?

Authors:  Nele Hilgert; Richard J H Smith; Guy Van Camp
Journal:  Mutat Res       Date:  2008-08-29       Impact factor: 2.433

2.  Expanded carrier screening in reproductive medicine-points to consider: a joint statement of the American College of Medical Genetics and Genomics, American College of Obstetricians and Gynecologists, National Society of Genetic Counselors, Perinatal Quality Foundation, and Society for Maternal-Fetal Medicine.

Authors:  Janice G Edwards; Gerald Feldman; James Goldberg; Anthony R Gregg; Mary E Norton; Nancy C Rose; Adele Schneider; Katie Stoll; Ronald Wapner; Michael S Watson
Journal:  Obstet Gynecol       Date:  2015-03       Impact factor: 7.661

3.  Validation of an Expanded Carrier Screen that Optimizes Sensitivity via Full-Exon Sequencing and Panel-wide Copy Number Variant Identification.

Authors:  Gregory J Hogan; Valentina S Vysotskaia; Kyle A Beauchamp; Stefanie Seisenberger; Peter V Grauman; Kevin R Haas; Sun Hae Hong; Diana Jeon; Shera Kash; Henry H Lai; Laura M Melroy; Mark R Theilmann; Clement S Chu; Kevin Iori; Jared R Maguire; Eric A Evans; Imran S Haque; Rebecca Mar-Heyming; Hyunseok P Kang; Dale Muzzey
Journal:  Clin Chem       Date:  2018-05-14       Impact factor: 8.327

4.  American College of Medical Genetics standards and guidelines for interpretation and reporting of postnatal constitutional copy number variants.

Authors:  Hutton M Kearney; Erik C Thorland; Kerry K Brown; Fabiola Quintero-Rivera; Sarah T South
Journal:  Genet Med       Date:  2011-07       Impact factor: 8.822

Review 5.  Statistical study of 35delG mutation of GJB2 gene: a meta-analysis of carrier frequency.

Authors:  Nejat Mahdieh; Bahareh Rabbani
Journal:  Int J Audiol       Date:  2009       Impact factor: 2.117

6.  Chromosomal microarray vs. NIPS: analysis of 5541 low-risk pregnancies.

Authors:  Lena Sagi-Dain; Lital Cohen Vig; Sarit Kahana; Shiri Yacobson; Tamar Tenne; Ifat Agmon-Fishman; Cochava Klein; Reut Matar; Lina Basel-Salmon; Idit Maya
Journal:  Genet Med       Date:  2019-05-24       Impact factor: 8.822

7.  Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen).

Authors:  Erin Rooney Riggs; Erica F Andersen; Athena M Cherry; Sibel Kantarci; Hutton Kearney; Ankita Patel; Gordana Raca; Deborah I Ritter; Sarah T South; Erik C Thorland; Daniel Pineda-Alvarez; Swaroop Aradhya; Christa Lese Martin
Journal:  Genet Med       Date:  2019-11-06       Impact factor: 8.822

8.  When genotype is not predictive of phenotype: implications for genetic counseling based on 21,594 chromosomal microarray analysis examinations.

Authors:  Idit Maya; Reuven Sharony; Shiri Yacobson; Sarit Kahana; Josepha Yeshaya; Tamar Tenne; Ifaat Agmon-Fishman; Lital Cohen-Vig; Yael Goldberg; Racheli Berger; Lina Basel-Salmon; Mordechai Shohat
Journal:  Genet Med       Date:  2017-07-20       Impact factor: 8.822

9.  ClinVar: public archive of interpretations of clinically relevant variants.

Authors:  Melissa J Landrum; Jennifer M Lee; Mark Benson; Garth Brown; Chen Chao; Shanmuga Chitipiralla; Baoshan Gu; Jennifer Hart; Douglas Hoffman; Jeffrey Hoover; Wonhee Jang; Kenneth Katz; Michael Ovetsky; George Riley; Amanjeev Sethi; Ray Tully; Ricardo Villamarin-Salomon; Wendy Rubinstein; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

Review 10.  European guidelines for constitutional cytogenomic analysis.

Authors:  Marisa Silva; Nicole de Leeuw; Kathy Mann; Heleen Schuring-Blom; Sian Morgan; Daniela Giardino; Katrina Rack; Ros Hastings
Journal:  Eur J Hum Genet       Date:  2018-10-01       Impact factor: 4.246

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