Autozygome and high throughput confirmation of disease genes candidacy
- PMID: 30237576
- PMCID: PMC6752307
- DOI: 10.1038/s41436-018-0138-x
Autozygome and high throughput confirmation of disease genes candidacy
Abstract
Purpose: Establishing links between Mendelian phenotypes and genes enables the proper interpretation of variants therein. Autozygome, a rich source of homozygous variants, has been successfully utilized for the high throughput identification of novel autosomal recessive disease genes. Here, we highlight the utility of the autozygome for the high throughput confirmation of previously published tentative links to diseases.
Methods: Autozygome and exome analysis of patients with suspected Mendelian phenotypes. All variants were classified according to the American College of Medical Genetics and Genomics guidelines.
Results: We highlight 30 published candidate genes (ACTL6B, ADAM22, AGTPBP1, APC, C12orf4, C3orf17 (NEPRO), CENPF, CNPY3, COL27A1, DMBX1, FUT8, GOLGA2, KIAA0556, LENG8, MCIDAS, MTMR9, MYH11, QRSL1, RUBCN, SLC25A42, SLC9A1, TBXT, TFG, THUMPD1, TRAF3IP2, UFC1, UFM1, WDR81, XRCC2, ZAK) in which we identified homozygous likely deleterious variants in patients with compatible phenotypes. We also identified homozygous likely deleterious variants in 18 published candidate genes (ABCA2, ARL6IP1, ATP8A2, CDK9, CNKSR1, DGAT1, DMXL2, GEMIN4, HCN2, HCRT, MYO9A, PARS2, PLOD3, PREPL, SCLT1, STX3, TXNRD2, WIPI2) although the associated phenotypes are sufficiently different from the original reports that they represent phenotypic expansion or potentially distinct allelic disorders.
Conclusions: Our results should facilitate the timely relabeling of these candidate disease genes in relevant databases to improve the yield of clinical genomic sequencing.
Keywords: ACMG guidelines; candidate genes; variant interpretation.
Conflict of interest statement
The authors declare no conflicts of interest.
Figures
References
-
- Wright Caroline F, McRae Jeremy F, Clayton Stephen, Gallone Giuseppe, Aitken Stuart, FitzGerald Tomas W, Jones Philip, Prigmore Elena, Rajan Diana, Lord Jenny, Sifrim Alejandro, Kelsell Rosemary, Parker Michael J, Barrett Jeffrey C, Hurles Matthew E, FitzPatrick David R, Firth Helen V. Making new genetic diagnoses with old data: iterative reanalysis and reporting from genome-wide data in 1,133 families with developmental disorders. Genetics in Medicine. 2018;20(10):1216–1223. doi: 10.1038/gim.2017.246. - DOI - PMC - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases
Miscellaneous
