Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks.
Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks.
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DOI：
10.1038/s41467-022-32885-x
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发表时间：
2022-09-16
影响因子：
16.6
通讯作者：
Lin, Xihong
中科院分区：
文献类型：
--
作者：
Dey, Rounak;Zhou, Wei;Kiiskinen, Tuomo;Havulinna, Aki;Elliott, Amanda;Karjalainen, Juha;Kurki, Mitja;Qin, Ashley;Lee, Seunggeun;Palotie, Aarno;Neale, Benjamin;Daly, Mark;Lin, Xihong
随着数十年的电子健康记录与遗传数据相关联，大型生物库为系统地了解复杂疾病自然史的遗传学提供了前所未有的机会。全基因组生存关联分析可以识别与发病年龄、疾病进展和寿命相关的遗传变异。我们提出了一个有效和准确的脆弱性模型的方法，全基因组生存关联分析的删失时间事件（TTE）表型占人口结构和相关性。我们的方法利用国家的最先进的优化策略，以减少计算成本。鞍点近似用于分析严重删失的表型（>90%）和低频变异（低至次要等位基因计数20）。我们通过对五种TTE表型（包括寿命）的广泛模拟研究和分析来证明我们方法的性能，其中对具有白色英国血统的约40万名英国生物银行参与者和FinnGen中的约18万人进行了大量删失率（90.9%至99.8%）。我们进一步分析了英国生物库中的871个TTE表型，并使用PheWeb浏览器呈现了全基因组范围的表型关联结果。大型生物库的激增需要设计用于生物库数据遗传分析的统计方法。在这里，作者开发了一种基于脆弱性模型的方法，用于大型生物库中事件发生时间表型的GWAS分析，该方法考虑了样本中的相关性和表型的删失。
With decades of electronic health records linked to genetic data, large biobanks provide unprecedented opportunities for systematically understanding the genetics of the natural history of complex diseases. Genome-wide survival association analysis can identify genetic variants associated with ages of onset, disease progression and lifespan. We propose an efficient and accurate frailty model approach for genome-wide survival association analysis of censored time-to-event (TTE) phenotypes by accounting for both population structure and relatedness. Our method utilizes state-of-the-art optimization strategies to reduce the computational cost. The saddlepoint approximation is used to allow for analysis of heavily censored phenotypes (>90%) and low frequency variants (down to minor allele count 20). We demonstrate the performance of our method through extensive simulation studies and analysis of five TTE phenotypes, including lifespan, with heavy censoring rates (90.9% to 99.8%) on ~400,000 UK Biobank participants with white British ancestry and ~180,000 individuals in FinnGen. We further analyzed 871 TTE phenotypes in the UK Biobank and presented the genome-wide scale phenome-wide association results with the PheWeb browser. The proliferation of large biobanks necessitates statistical methods designed for genetic analysis on biobank data. Here, the authors have developed a frailty model-based method for GWAS analysis of time-to-event phenotypes in large biobanks that accounts for relatedness in samples and censoring of phenotypes.
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影响因子：
30.8
作者：
Dunning AM;Michailidou K;Kuchenbaecker KB;Thompson D;French JD;Beesley J;Healey CS;Kar S;Pooley KA;Lopez-Knowles E;Dicks E;Barrowdale D;Sinnott-Armstrong NA;Sallari RC;Hillman KM;Kaufmann S;Sivakumaran H;Moradi Marjaneh M;Lee JS;Hills M;Jarosz M;Drury S;Canisius S;Bolla MK;Dennis J;Wang Q;Hopper JL;Southey MC;Broeks A;Schmidt MK;Lophatananon A;Muir K;Beckmann MW;Fasching PA;Dos-Santos-Silva I;Peto J;Sawyer EJ;Tomlinson I;Burwinkel B;Marme F;Guénel P;Truong T;Bojesen SE;Flyger H;González-Neira A;Perez JI;Anton-Culver H;Eunjung L;Arndt V;Brenner H;Meindl A;Schmutzler RK;Brauch H;Hamann U;Aittomäki K;Blomqvist C;Ito H;Matsuo K;Bogdanova N;Dörk T;Lindblom A;Margolin S;Kosma VM;Mannermaa A;Tseng CC;Wu AH;Lambrechts D;Wildiers H;Chang-Claude J;Rudolph A;Peterlongo P;Radice P;Olson JE;Giles GG;Milne RL;Haiman CA;Henderson BE;Goldberg MS;Teo SH;Yip CH;Nord S;Borresen-Dale AL;Kristensen V;Long J;Zheng W;Pylkäs K;Winqvist R;Andrulis IL;Knight JA;Devilee P;Seynaeve C;Figueroa J;Sherman ME;Czene K;Darabi H;Hollestelle A;van den Ouweland AM;Humphreys K;Gao YT;Shu XO;Cox A;Cross SS;Blot W;Cai Q;Ghoussaini M;Perkins BJ;Shah M;Choi JY;Kang D;Lee SC;Hartman M;Kabisch M;Torres D;Jakubowska A;Lubinski J;Brennan P;Sangrajrang S;Ambrosone CB;Toland AE;Shen CY;Wu PE;Orr N;Swerdlow A;McGuffog L;Healey S;Lee A;Kapuscinski M;John EM;Terry MB;Daly MB;Goldgar DE;Buys SS;Janavicius R;Tihomirova L;Tung N;Dorfling CM;van Rensburg EJ;Neuhausen SL;Ejlertsen B;Hansen TV;Osorio A;Benitez J;Rando R;Weitzel JN;Bonanni B;Peissel B;Manoukian S;Papi L;Ottini L;Konstantopoulou I;Apostolou P;Garber J;Rashid MU;Frost D;EMBRACE;Izatt L;Ellis S;Godwin AK;Arnold N;Niederacher D;Rhiem K;Bogdanova-Markov N;Sagne C;Stoppa-Lyonnet D;Damiola F;GEMO Study Collaborators;Sinilnikova OM;Mazoyer S;Isaacs C;Claes KB;De Leeneer K;de la Hoya M;Caldes T;Nevanlinna H;Khan S;Mensenkamp AR;HEBON;Hooning MJ;Rookus MA;Kwong A;Olah E;Diez O;Brunet J;Pujana MA;Gronwald J;Huzarski T;Barkardottir RB;Laframboise R;Soucy P;Montagna M;Agata S;Teixeira MR;kConFab Investigators;Park SK;Lindor N;Couch FJ;Tischkowitz M;Foretova L;Vijai J;Offit K;Singer CF;Rappaport C;Phelan CM;Greene MH;Mai PL;Rennert G;Imyanitov EN;Hulick PJ;Phillips KA;Piedmonte M;Mulligan AM;Glendon G;Bojesen A;Thomassen M;Caligo MA;Yoon SY;Friedman E;Laitman Y;Borg A;von Wachenfeldt A;Ehrencrona H;Rantala J;Olopade OI;Ganz PA;Nussbaum RL;Gayther SA;Nathanson KL;Domchek SM;Arun BK;Mitchell G;Karlan BY;Lester J;Maskarinec G;Woolcott C;Scott C;Stone J;Apicella C;Tamimi R;Luben R;Khaw KT;Helland Å;Haakensen V;Dowsett M;Pharoah PD;Simard J;Hall P;García-Closas M;Vachon C;Chenevix-Trench G;Antoniou AC;Easton DF;Edwards SL
通讯作者：
Edwards SL
影响因子：
64.8
作者：
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者：
Marchini J
影响因子：
46.9
作者：
通讯作者：
--
影响因子：
30.8
作者：
Deloukas, Panos;Kanoni, Stavroula;Willenborg, Christina;Farrall, Martin;Assimes, Themistocles L.;Thompson, John R.;Ingelsson, Erik;Saleheen, Danish;Erdmann, Jeanette;Goldstein, Benjamin A.;Stirrups, Kathleen;Koenig, Inke R.;Cazier, Jean-Baptiste;Johansson, Asa;Hall, Alistair S.;Lee, Jong-Young;Willer, Cristen J.;Chambers, John C.;Esko, Tonu;Folkersen, Lasse;Goel, Anuj;Grundberg, Elin;Havulinna, Aki S.;Ho, Weang K.;Hopewell, Jemma C.;Eriksson, Niclas;Kleber, Marcus E.;Kristiansson, Kati;Lundmark, Per;Lyytikainen, Leo-Pekka;Rafelt, Suzanne;Shungin, Dmitry;Strawbridge, Rona J.;Thorleifsson, Gudmar;Tikkanen, Emmi;Van Zuydam, Natalie;Voight, Benjamin F.;Waite, Lindsay L.;Zhang, Weihua;Ziegler, Andreas;Absher, Devin;Altshuler, David;Balmforth, Anthony J.;Barroso, Ines;Braund, Peter S.;Burgdorf, Christof;Claudi-Boehm, Simone;Cox, David;Dimitriou, Maria;Do, Ron;Doney, Alex S. F.;El Mokhtari, NourEddine;Eriksson, Per;Fischer, Krista;Fontanillas, Pierre;Franco-Cereceda, Anders;Gigante, Bruna;Groop, Leif;Gustafsson, Stefan;Hager, Joerg;Hallmans, Goran;Han, Bok-Ghee;Hunt, Sarah E.;Kang, Hyun M.;Illig, Thomas;Kessler, Thorsten;Knowles, Joshua W.;Kolovou, Genovefa;Kuusisto, Johanna;Langenberg, Claudia;Langford, Cordelia;Leander, Karin;Lokki, Marja-Liisa;Lundmark, Anders;McCarthy, Mark I.;Meisinger, Christa;Melander, Olle;Mihailov, Evelin;Maouche, Seraya;Morris, Andrew D.;Mueller-Nurasyid, Martina;Nikus, Kjell;Peden, John F.;Rayner, N. William;Rasheed, Asif;Rosinger, Silke;Rubin, Diana;Rumpf, Moritz P.;Schaefer, Arne;Sivananthan, Mohan;Song, Ci;Stewart, Alexandre F. R.;Tan, Sian-Tsung;Thorgeirsson, Gudmundur;van der Schoot, C. Ellen;Wagner, Peter J.;Wells, George A.;Wild, Philipp S.;Yang, Tsun-Po;Amouyel, Philippe;Arveiler, Dominique;Basart, Hanneke;Boehnke, Michael;Boerwinkle, Eric;Brambilla, Paolo;Cambien, Francois;Cupples, Adrienne L.;de Faire, Ulf;Dehghan, Abbas;Diemert, Patrick;Epstein, Stephen E.;Evans, Alun;Ferrario, Marco M.;Ferrieres, Jean;Gauguier, Dominique;Go, Alan S.;Goodall, Alison H.;Gudnason, Villi;Hazen, Stanley L.;Holm, Hilma;Iribarren, Carlos;Jang, Yangsoo;Kahonen, Mika;Kee, Frank;Kim, Hyo-Soo;Klopp, Norman;Koenig, Wolfgang;Kratzer, Wolfgang;Kuulasmaa, Kari;Laakso, Markku;Laaksonen, Reijo;Lee, Ji-Young;Lind, Lars;Ouwehand, Willem H.;Parish, Sarah;Park, Jeong E.;Pedersen, Nancy L.;Peters, Annette;Quertermous, Thomas;Rader, Daniel J.;Salomaa, Veikko;Schadt, Eric;Shah, Svati H.;Sinisalo, Juha;Stark, Klaus;Stefansson, Kari;Tregouet, David-Alexandre;Virtamo, Jarmo;Wallentin, Lars;Wareham, Nicholas;Zimmermann, Martina E.;Nieminen, Markku S.;Hengstenberg, Christian;Sandhu, Manjinder S.;Pastinen, Tomi;Syvanen, Ann-Christine;Hovingh, G. Kees;Dedoussis, George;Franks, Paul W.;Lehtimaki, Terho;Metspalu, Andres;Zalloua, Pierre A.;Siegbahn, Agneta;Schreiber, Stefan;Ripatti, Samuli;Blankenberg, Stefan S.;Perola, Markus;Clarke, Robert;Boehm, Bernhard O.;O'Donnell, Christopher;Reilly, Muredach P.;Maerz, Winfried;Collins, Rory;Kathiresan, Sekar;Hamsten, Anders;Kooner, Jaspal S.;Thorsteinsdottir, Unnur;Danesh, John;Palmer, Colin N. A.;Roberts, Robert;Watkins, Hugh;Schunkert, Heribert;Samani, Nilesh J.
通讯作者：
Samani, Nilesh J.
影响因子：
30.8
作者：
Abecasis, GR;Cherny, SS;Cardon, LR
通讯作者：
Cardon, LR