Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing.
Improved structural variant interpretation for hereditary cancer susceptibility using long-read sequencing.
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DOI:
10.1038/s41436-020-0880-8
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发表时间:
2020-11
期刊:
影响因子:
--
通讯作者:
Jones SJM
中科院分区:
文献类型:
--
作者:
Thibodeau ML;O'Neill K;Dixon K;Reisle C;Mungall KL;Krzywinski M;Shen Y;Lim HJ;Cheng D;Tse K;Wong T;Chuah E;Fok A;Sun S;Renouf D;Schaeffer DF;Cremin C;Chia S;Young S;Pandoh P;Pleasance S;Pleasance E;Mungall AJ;Moore R;Yip S;Karsan A;Laskin J;Marra MA;Schrader KA;Jones SJM
Structural variants (SVs) may be an underestimated cause of hereditary cancer syndromes given the current limitations of short-read next-generation sequencing. Here we investigated the utility of long-read sequencing in resolving germline SVs in cancer susceptibility genes detected through short-read genome sequencing. Known or suspected deleterious germline SVs were identified using Illumina genome sequencing across a cohort of 669 advanced cancer patients with paired tumor genome and transcriptome sequencing. Candidate SVs were subsequently assessed by Oxford Nanopore long-read sequencing. Nanopore sequencing confirmed eight simple pathogenic or likely pathogenic SVs, resolving three additional variants whose impact could not be fully elucidated through short-read sequencing. A recurrent sequencing artifact on chromosome 16p13 and one complex rearrangement on chromosome 5q35 were subsequently classified as likely benign, obviating the need for further clinical assessment. Variant configuration was further resolved in one case with a complex pathogenic rearrangement affecting TSC2. Our findings demonstrate that long-read sequencing can improve the validation, resolution, and classification of germline SVs. This has important implications for return of results, cascade carrier testing, cancer screening, and prophylactic interventions.
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影响因子:
11.5
作者:
Zhao, Eric Y.;Shen, Yaoqing;Jones, Steven J. M.
通讯作者:
Jones, Steven J. M.
影响因子:
64.8
作者:
Sudmant PH;Rausch T;Gardner EJ;Handsaker RE;Abyzov A;Huddleston J;Zhang Y;Ye K;Jun G;Fritz MH;Konkel MK;Malhotra A;Stütz AM;Shi X;Casale FP;Chen J;Hormozdiari F;Dayama G;Chen K;Malig M;Chaisson MJP;Walter K;Meiers S;Kashin S;Garrison E;Auton A;Lam HYK;Mu XJ;Alkan C;Antaki D;Bae T;Cerveira E;Chines P;Chong Z;Clarke L;Dal E;Ding L;Emery S;Fan X;Gujral M;Kahveci F;Kidd JM;Kong Y;Lameijer EW;McCarthy S;Flicek P;Gibbs RA;Marth G;Mason CE;Menelaou A;Muzny DM;Nelson BJ;Noor A;Parrish NF;Pendleton M;Quitadamo A;Raeder B;Schadt EE;Romanovitch M;Schlattl A;Sebra R;Shabalin AA;Untergasser A;Walker JA;Wang M;Yu F;Zhang C;Zhang J;Zheng-Bradley X;Zhou W;Zichner T;Sebat J;Batzer MA;McCarroll SA;1000 Genomes Project Consortium;Mills RE;Gerstein MB;Bashir A;Stegle O;Devine SE;Lee C;Eichler EE;Korbel JO
通讯作者:
Korbel JO
影响因子:
48
作者:
Sedlazeck FJ;Rescheneder P;Smolka M;Fang H;Nattestad M;von Haeseler A;Schatz MC
通讯作者:
Schatz MC
影响因子:
1.8
作者:
Wong HL;Yang KC;Shen Y;Zhao EY;Loree JM;Kennecke HF;Kalloger SE;Karasinska JM;Lim HJ;Mungall AJ;Feng X;Davies JM;Schrader K;Zhou C;Karsan A;Jones SJM;Laskin J;Marra MA;Schaeffer DF;Gorski SM;Renouf DJ
通讯作者:
Renouf DJ
影响因子:
2.7
作者:
Cheng DT;Prasad M;Chekaluk Y;Benayed R;Sadowska J;Zehir A;Syed A;Wang YE;Somar J;Li Y;Yelskaya Z;Wong D;Robson ME;Offit K;Berger MF;Nafa K;Ladanyi M;Zhang L
通讯作者:
Zhang L