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1.
Am J Hum Genet ; 110(8): 1343-1355, 2023 08 03.
Artículo en Inglés | MEDLINE | ID: mdl-37541188

RESUMEN

Despite significant progress in unraveling the genetic causes of neurodevelopmental disorders (NDDs), a substantial proportion of individuals with NDDs remain without a genetic diagnosis after microarray and/or exome sequencing. Here, we aimed to assess the power of short-read genome sequencing (GS), complemented with long-read GS, to identify causal variants in participants with NDD from the National Institute for Health and Care Research (NIHR) BioResource project. Short-read GS was conducted on 692 individuals (489 affected and 203 unaffected relatives) from 465 families. Additionally, long-read GS was performed on five affected individuals who had structural variants (SVs) in technically challenging regions, had complex SVs, or required distal variant phasing. Causal variants were identified in 36% of affected individuals (177/489), and a further 23% (112/489) had a variant of uncertain significance after multiple rounds of re-analysis. Among all reported variants, 88% (333/380) were coding nuclear SNVs or insertions and deletions (indels), and the remainder were SVs, non-coding variants, and mitochondrial variants. Furthermore, long-read GS facilitated the resolution of challenging SVs and invalidated variants of difficult interpretation from short-read GS. This study demonstrates the value of short-read GS, complemented with long-read GS, in investigating the genetic causes of NDDs. GS provides a comprehensive and unbiased method of identifying all types of variants throughout the nuclear and mitochondrial genomes in individuals with NDD.


Asunto(s)
Genoma Humano , Trastornos del Neurodesarrollo , Humanos , Genoma Humano/genética , Mapeo Cromosómico , Secuencia de Bases , Mutación INDEL , Trastornos del Neurodesarrollo/genética
2.
N Engl J Med ; 385(20): 1868-1880, 2021 11 11.
Artículo en Inglés | MEDLINE | ID: mdl-34758253

RESUMEN

BACKGROUND: The U.K. 100,000 Genomes Project is in the process of investigating the role of genome sequencing in patients with undiagnosed rare diseases after usual care and the alignment of this research with health care implementation in the U.K. National Health Service. Other parts of this project focus on patients with cancer and infection. METHODS: We conducted a pilot study involving 4660 participants from 2183 families, among whom 161 disorders covering a broad spectrum of rare diseases were present. We collected data on clinical features with the use of Human Phenotype Ontology terms, undertook genome sequencing, applied automated variant prioritization on the basis of applied virtual gene panels and phenotypes, and identified novel pathogenic variants through research analysis. RESULTS: Diagnostic yields varied among family structures and were highest in family trios (both parents and a proband) and families with larger pedigrees. Diagnostic yields were much higher for disorders likely to have a monogenic cause (35%) than for disorders likely to have a complex cause (11%). Diagnostic yields for intellectual disability, hearing disorders, and vision disorders ranged from 40 to 55%. We made genetic diagnoses in 25% of the probands. A total of 14% of the diagnoses were made by means of the combination of research and automated approaches, which was critical for cases in which we found etiologic noncoding, structural, and mitochondrial genome variants and coding variants poorly covered by exome sequencing. Cohortwide burden testing across 57,000 genomes enabled the discovery of three new disease genes and 19 new associations. Of the genetic diagnoses that we made, 25% had immediate ramifications for clinical decision making for the patients or their relatives. CONCLUSIONS: Our pilot study of genome sequencing in a national health care system showed an increase in diagnostic yield across a range of rare diseases. (Funded by the National Institute for Health Research and others.).


Asunto(s)
Genoma Humano , Enfermedades Raras/genética , Adolescente , Adulto , Niño , Preescolar , Composición Familiar , Femenino , Variación Genética , Humanos , Masculino , Persona de Mediana Edad , Proyectos Piloto , Reacción en Cadena de la Polimerasa , Enfermedades Raras/diagnóstico , Sensibilidad y Especificidad , Medicina Estatal , Reino Unido , Secuenciación Completa del Genoma , Adulto Joven
3.
Genome Med ; 10(1): 95, 2018 12 07.
Artículo en Inglés | MEDLINE | ID: mdl-30526634

RESUMEN

BACKGROUND: Studies have shown that complex structural variants (cxSVs) contribute to human genomic variation and can cause Mendelian disease. We aimed to identify cxSVs relevant to Mendelian disease using short-read whole-genome sequencing (WGS), resolve the precise variant configuration and investigate possible mechanisms of cxSV formation. METHODS: We performed short-read WGS and analysis of breakpoint junctions to identify cxSVs in a cohort of 1324 undiagnosed rare disease patients. Long-read WGS and gene expression analysis were used to resolve one case. RESULTS: We identified three pathogenic cxSVs: a de novo duplication-inversion-inversion-deletion affecting ARID1B, a de novo deletion-inversion-duplication affecting HNRNPU and a homozygous deletion-inversion-deletion affecting CEP78. Additionally, a de novo duplication-inversion-duplication overlapping CDKL5 was resolved by long-read WGS demonstrating the presence of both a disrupted and an intact copy of CDKL5 on the same allele, and gene expression analysis showed both parental alleles of CDKL5 were expressed. Breakpoint analysis in all the cxSVs revealed both microhomology and longer repetitive elements. CONCLUSIONS: Our results corroborate that cxSVs cause Mendelian disease, and we recommend their consideration during clinical investigations. We show that resolution of breakpoints can be critical to interpret pathogenicity and present evidence of replication-based mechanisms in cxSV formation.


Asunto(s)
Genoma Humano , Variación Estructural del Genoma , Proteínas de Ciclo Celular/genética , Proteínas de Unión al ADN/genética , Femenino , Predisposición Genética a la Enfermedad , Ribonucleoproteína Heterogénea-Nuclear Grupo U/genética , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Masculino , Mutación , Proteínas Serina-Treonina Quinasas/genética , Análisis de Secuencia de ADN , Factores de Transcripción/genética
4.
Am J Hum Genet ; 100(1): 75-90, 2017 01 05.
Artículo en Inglés | MEDLINE | ID: mdl-28041643

RESUMEN

Inherited retinal disease is a common cause of visual impairment and represents a highly heterogeneous group of conditions. Here, we present findings from a cohort of 722 individuals with inherited retinal disease, who have had whole-genome sequencing (n = 605), whole-exome sequencing (n = 72), or both (n = 45) performed, as part of the NIHR-BioResource Rare Diseases research study. We identified pathogenic variants (single-nucleotide variants, indels, or structural variants) for 404/722 (56%) individuals. Whole-genome sequencing gives unprecedented power to detect three categories of pathogenic variants in particular: structural variants, variants in GC-rich regions, which have significantly improved coverage compared to whole-exome sequencing, and variants in non-coding regulatory regions. In addition to previously reported pathogenic regulatory variants, we have identified a previously unreported pathogenic intronic variant in CHM in two males with choroideremia. We have also identified 19 genes not previously known to be associated with inherited retinal disease, which harbor biallelic predicted protein-truncating variants in unsolved cases. Whole-genome sequencing is an increasingly important comprehensive method with which to investigate the genetic causes of inherited retinal disease.


Asunto(s)
Análisis Mutacional de ADN , Variación Genética/genética , Genoma Humano/genética , Enfermedades de la Retina/genética , Proteínas Adaptadoras Transductoras de Señales/genética , Alelos , Secuencia de Bases , Coroideremia/genética , Etnicidad/genética , Exoma/genética , Femenino , Genes Recesivos/genética , Humanos , Intrones/genética , Masculino , Mutación , Enfermedades Raras/genética
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