2022
DOI: 10.1016/j.gim.2022.02.007
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Genomic answers for children: Dynamic analyses of >1000 pediatric rare disease genomes

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Cited by 49 publications
(52 citation statements)
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References 38 publications
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“…Although the vast majority of clinical sequencing currently employs short‐read sequencing platforms, long‐read sequencing platforms continue to improve in performance and throughput, which has translated to higher variant calling accuracy in historically challenging genomic contexts (Olson et al, 2022; Wenger et al, 2019). As such, clinical long‐read sequencing is emerging as an important alternative to short‐read sequencing (Cohen et al, 2022; Logsdon et al, 2020), which is evidenced by improved interrogation of clinically significant regions, including structural variants, repeat expansions, and homologous gene families, as well as the inherent benefit of variant phasing (Ameur et al, 2019; Ardui et al, 2018; Reiner et al, 2018). Cataloguing phased haplotypes among pharmacogenomic genes has been an ongoing effort of the PharmVar Consortium (Gaedigk et al, 2019), as previous technologies have had to rely on statistical phasing and/or haplotype inference.…”
Section: Discussionmentioning
confidence: 99%
“…Although the vast majority of clinical sequencing currently employs short‐read sequencing platforms, long‐read sequencing platforms continue to improve in performance and throughput, which has translated to higher variant calling accuracy in historically challenging genomic contexts (Olson et al, 2022; Wenger et al, 2019). As such, clinical long‐read sequencing is emerging as an important alternative to short‐read sequencing (Cohen et al, 2022; Logsdon et al, 2020), which is evidenced by improved interrogation of clinically significant regions, including structural variants, repeat expansions, and homologous gene families, as well as the inherent benefit of variant phasing (Ameur et al, 2019; Ardui et al, 2018; Reiner et al, 2018). Cataloguing phased haplotypes among pharmacogenomic genes has been an ongoing effort of the PharmVar Consortium (Gaedigk et al, 2019), as previous technologies have had to rely on statistical phasing and/or haplotype inference.…”
Section: Discussionmentioning
confidence: 99%
“…Single nucleotide variants were called using DRAGEN 3.6.3 on GRCh38 for probands and parents enrolled in the Genomic Answers for Kids initiative at Children’s Mercy Hospital 24 . The following criteria were used to select candidate variants from probands: (a) gnomAD minor allele frequency < 0.001 (internal allelic frequencies were used when gnomAD data was not available), (b) variant detection using at least two sequencing technologies (whole genome sequencing, whole genome bisulfite sequencing, 10 × linked-read sequencing, or PacBio long-read sequencing), and (c) variants occurring within 100 kb of an annotated transcription start site based on NCBI RefSeq annotations.…”
Section: Methodsmentioning
confidence: 99%
“…Several publications followed suit to demonstrate the ability of LRS to assay repeat elements in clinically relevant genes such as ATXN10 (MIM# 611150) (McFarland et al, 2015;Schule et al, 2017), TAF1 (MIM# 313650) (Aneichyk et al, 2018), C9orf72 (MIM# 614260) (Ebbert et al, 2018), DMPK (MIM# 605377) (Cummings et al, 2017), SAMD12 (MIM# 618073) (Cen et al, 2019), and HTT (MIM# 613004) (Hoijer et al, 2018). More recently, Cohen et al used PacBio sequencing in a large cohort of undiagnosed patients to uncover molecular diagnoses including a pathogenic pentamer expansion in the gene STARD7 (MIM# 616712) in a patient with global developmental delay and dystonia (Cohen et al, 2022). Stevanovski et al used the adaptive sequencing protocol in the Oxford Nanopore platform to target 37 loci and showed the ability to detect repeat expansions accurately in 25 patients with neurological disorders.…”
Section: Long-read Sequencing (Lrs)mentioning
confidence: 99%