國家衛生研究院 NHRI:Item 3990099045/9425
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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.nhri.org.tw/handle/3990099045/9425


    题名: Analysis of heritability and shared heritability based on genome-wide association studies for 13 cancer types
    作者: Sampson, JN;Wheeler, WA;Yeager, M;Panagiotou, O;Wang, Z;Berndt, SI;Lan, Q;Abnet, CC;Amundadottir, LT;Figueroa, JD;Landi, MT;Mirabello, L;Savage, SA;Taylor, PR;Vivo, ID;McGlynn, KA;Purdue, MP;Rajaraman, P;Adami, HO;Ahlbom, A;Albanes, D;Amary, MF;An, SJ;Andersson, U;Andriole, G, Jr.;Andrulis, IL;Angelucci, E;Ansell, SM;Arici, C;Armstrong, BK;Arslan, AA;Austin, MA;Baris, D;Barkauskas, DA;Bassig, BA;Becker, N;Benavente, Y;Benhamou, S;Berg, C;Van Den Berg, D;Bernstein, L;Bertrand, KA;Birmann, BM;Black, A;Boeing, H;Boffetta, P;Boutron-Ruault, MC;Bracci, PM;Brinton, L;Brooks-Wilson, AR;Bueno-de-Mesquita, HB;Burdett, L;Buring, J;Butler, MA;Cai, Q;Cancel-Tassin, G;Canzian, F;Carrato, A;Carreon, T;Carta, A;Chan, JK;Chang, ET;Chang, GC;Chang, IS;Chang, J;Chang-Claude, J;Chen, CJ;Chen, CY;Chen, C;Chen, CH;Chen, C;Chen, H;Chen, K;Chen, KY;Chen, KC;Chen, Y;Chen, YH;Chen, YS;Chen, YM;Chien, LH;Chirlaque, MD;Choi, JE;Choi, YY;Chow, WH;Chung, CC;Clavel, J;Clavel-Chapelon, F;Cocco, P;Colt, JS;Comperat, E;Conde, L;Connors, JM;Conti, D;Cortessis, VK;Cotterchio, M;Cozen, W;Crouch, S;Crous-Bou, M;Cussenot, O;Davis, FG, .;et al.
    贡献者: National Institute of Cancer Research;Division of Clinical Trial Statistics;Division of Biostatistics and Bioinformatics
    摘要: BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites. METHODS: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers. RESULTS: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (rho = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (rho = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (rho = 0.51, SE =0.18), and bladder and lung (rho = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures. CONCLUSION: Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
    日期: 2015-12
    關聯: Journal of the National Cancer Institute. 2015 Dec;107(12):Article number djv279.
    Link to: http://dx.doi.org/10.1093/jnci/djv279
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0027-8874&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000366970900015
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84981719326
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