Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity.
Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity.
复制标题
DOI:
10.1001/jamanetworkopen.2020.18109
复制
发表时间:
2020-09-01
影响因子:
13.8
通讯作者:
Hayeems RZ
中科院分区:
文献类型:
--
作者:
Costain G;Walker S;Marano M;Veenma D;Snell M;Curtis M;Luca S;Buera J;Arje D;Reuter MS;Thiruvahindrapuram B;Trost B;Sung WWL;Yuen RKC;Chitayat D;Mendoza-Londono R;Stavropoulos DJ;Scherer SW;Marshall CR;Cohn RD;Cohen E;Orkin J;Meyn MS;Hayeems RZ
What is the diagnostic yield of genome sequencing in children with unexplained medical complexity and prior negative results of genetic testing? In this cohort study that included 138 individuals from 49 families, genome sequencing detected all genomic variation previously identified by conventional genetic testing and resulted in a new diagnosis for 31% of patients. This study suggests that, because of its high yield, comprehensive nature, and increasingly competitive costs, genome sequencing is a potentially first-tier genetic test for children with unexplained medical complexity. Children with medical complexity (CMC) represent a growing population in the pediatric health care system, with high resource use and associated health care costs. A genetic diagnosis can inform prognosis, anticipatory care, management, and reproductive planning. Conventional genetic testing strategies for CMC are often costly, time consuming, and ultimately unsuccessful. To evaluate the analytical and clinical validity of genome sequencing as a comprehensive diagnostic genetic test for CMC. In this cohort study of the prospective use of genome sequencing and comparison with standard-of-care genetic testing, CMC were recruited from May 1, 2017, to November 30, 2018, from a structured complex care program based at a tertiary care pediatric hospital in Toronto, Canada. Recruited CMC had at least 1 chronic condition, technology dependence (child is dependent at least part of each day on mechanical ventilators, and/or child requires prolonged intravenous administration of nutritional substances or drugs, and/or child is expected to have prolonged dependence on other device-based support), multiple subspecialist involvement, and substantial health care use. Review of the care plans for 545 CMC identified 143 suspected of having an undiagnosed genetic condition. Fifty-four families met inclusion criteria and were interested in participating, and 49 completed the study. Probands, similarly affected siblings, and biological parents were eligible for genome sequencing. Genome sequencing was performed using blood-derived DNA from probands and family members using established methods and a bioinformatics pipeline for clinical genome annotation. The primary study outcome was the diagnostic yield of genome sequencing (proportion of CMC for whom the test result yielded a new diagnosis). Genome sequencing was performed for 138 individuals from 49 families of CMC (29 male and 20 female probands; mean [SD] age, 7.0 [4.5] years). Genome sequencing detected all genomic variation previously identified by conventional genetic testing. A total of 15 probands (30.6%; 95% CI 19.5%-44.6%) received a new primary molecular genetic diagnosis after genome sequencing. Three individuals had novel diseases and an additional 9 had either ultrarare genetic conditions or rare genetic conditions with atypical features. At least 11 families received diagnostic information that had clinical management implications beyond genetic and reproductive counseling. This study suggests that genome sequencing has high analytical and clinical validity and can result in new diagnoses in CMC even in the setting of extensive prior investigations. This clinical population may be enriched for ultrarare and novel genetic disorders. Genome sequencing is a potentially first-tier genetic test for CMC. This cohort study evaluates the analytical and clinical validity of genome sequencing as a comprehensive diagnostic genetic test for children with medical complexity.
登录
查看更多内容
影响因子:
17.1
作者:
Cummings BB;Marshall JL;Tukiainen T;Lek M;Donkervoort S;Foley AR;Bolduc V;Waddell LB;Sandaradura SA;O'Grady GL;Estrella E;Reddy HM;Zhao F;Weisburd B;Karczewski KJ;O'Donnell-Luria AH;Birnbaum D;Sarkozy A;Hu Y;Gonorazky H;Claeys K;Joshi H;Bournazos A;Oates EC;Ghaoui R;Davis MR;Laing NG;Topf A;Genotype-Tissue Expression Consortium;Kang PB;Beggs AH;North KN;Straub V;Dowling JJ;Muntoni F;Clarke NF;Cooper ST;Bönnemann CG;MacArthur DG
通讯作者:
MacArthur DG
影响因子:
82.9
作者:
Fresard, Laure;Smail, Craig;Dyment, David
通讯作者:
Dyment, David
影响因子:
5.3
作者:
Clark, Michelle M.;Starke, Zornitza;Kingsmore, Stephen F.
通讯作者:
Kingsmore, Stephen F.
影响因子:
--
作者:
Burke, Wylie
通讯作者:
Burke, Wylie
影响因子:
8
作者:
Cohen, Eyal;Berry, Jay G.;Guttmann, Astrid
通讯作者:
Guttmann, Astrid