% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Blechter:305046,
      author       = {B. Blechter and X. Wang and J. Dai and C. Karsonaki and J.
                      Shi and K. Shiraishi and J. Choi and K. Matsuo and T.-Y.
                      Chen and R. J. Hung and K. Chen and X.-O. Shu and Y. T. Kim
                      and P. P. Choudhury and J. Williams and M. T. Landi and D.
                      Lin and W. Zheng and Z. Yin and B. Zhou and J. Wang and W.
                      J. Seow and L. Song and I.-S. Chang and W. Hu and L.-H.
                      Chien and Q. Cai and Y.-C. Hong and H. N. Kim and Y.-L. Wu
                      and M. P. Wong and B. D. Richardson and S. Li and T. Zhang
                      and C. Breeze and Z. Wang and B. A. Bassig and J. H. Kim and
                      D. Albanes and J. Y. Wong Sm and M.-H. Shin and L. P. Chung
                      and Y. Yang and H. Zheng and H. Dai and Y. Yatabe and X.-C.
                      Zhang and Y.-C. Kim and N. E. Caporaso and J. Chang and J.
                      C. M. Ho and Y. Daigo and Y. Momozawa and Y. Kamatani and M.
                      Kobayashi and K. Okubo and T. Honda and H. D. Hosgood and H.
                      Kunitoh and S.-I. Watanabe and Y. Miyagi and S. Matsumoto
                      and H. Horinouchi and M. Tsuboi and R. Hamamoto and K. Goto
                      and A. Takahashi and A. Goto and Y. Minamiya and M. Hara and
                      Y. Nishida and K. Takeuchi and K. Wakai and K. Matsuda and
                      Y. Murakami and K. Shimizu and H. Suzuki and M. Saito and Y.
                      Ohtaki and K. Tanaka and T. Wu and F. Wei and M. J. Machiela
                      and Y. H. Kim and I.-J. Oh and V. H. F. Lee and G.-C. Chang
                      and K.-Y. Chen and W.-C. Su and Y.-M. Chen and A. Seow and
                      J. Y. Park and S.-S. Kweon and Y.-T. Gao and J. Liu and A.
                      G. Schwartz and R. Houlston and I. P. Gorlov and X. Wu and
                      P. Yang and S. Lam and A. Tardon and C. Chen and S. E.
                      Bojesen and M. Johansson and A. Risch$^*$ and H.
                      Bickeböller and B.-T. Ji and H.-E. Wichmann and D. C.
                      Christiani and G. Rennert and S. M. Arnold and P. Brennan
                      and J. McKay and J. K. Field and M. P. A. Davies and S. S.
                      Shete and L. Le Marchand and G. Liu and A. S. Andrew and L.
                      A. Kiemeney and S. Zienolddiny-Narui and K. Grankvist and A.
                      Cox and F. Taylor and J.-M. Yuan and P. Lazarus and M. B.
                      Schabath and M. C. Aldrich and H.-S. Jeon and S. S. Jiang
                      and C.-H. Chen and C.-F. Hsiao and Z. Hu and L. Burdett and
                      M. Yeager and A. Hutchinson and B. Hicks and J. Liu and S.
                      I. Berndt and W. Wu and J. Wang and Y. Li and J. E. Choi and
                      K. H. Park and S. W. Sung and C. H. Kang and W.-C. Wang and
                      J. Xu and P. Guan and W. Tan and C.-J. Yu and G. Yang and A.
                      D. L. Sihoe and Y. Y. Choi and I. K. Park and H.-H. Hung and
                      R. C. H. Vermeulen and I. Cheng and J. Wu and F.-Y. Tsai and
                      J. K. C. Chan and J. Li and H.-C. Lin and J. Liu and B. Song
                      and N. Sawada and T. Yamaji and K. Wyatt and H. Ma and M.
                      Zhu and Y. Wang and T. Qi and X. Li and Y. Ren and A. Chao
                      and M. Iwasaki and J. Zhu and G. Wu and C.-Y. Chen and C. C.
                      ScD and P.-C. Yang and V. L. Stevens and J. F. Fraumeni and
                      K. Lin and R. G. Walters and Z. Chen and N. Chatterjee and
                      O. Y. Gorlova and C. I. Amos and H. Shen and C. A. Hsiung
                      and S. J. Chanock and N. Rothman and T. Kohno and Q. Lan and
                      H. Zhang},
      title        = {{S}tratifying lung adenocarcinoma risk with multi-ancestry
                      polygenic risk scores in {E}ast {A}sian never-smokers.},
      journal      = {Journal of the National Cancer Institute},
      volume       = {nn},
      issn         = {0027-8874},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {DKFZ-2025-02022},
      pages        = {nn},
      year         = {2025},
      note         = {ISSN 1460-2105 / epub},
      abstract     = {Lung adenocarcinoma (LUAD) in never-smokers is a major
                      public health burden, especially among East Asian women.
                      Polygenic risk scores (PRSs) are promising for risk
                      stratification but are primarily developed in
                      European-ancestry populations. We aimed to develop and
                      validate single- and multi-ancestry PRSs for East Asian
                      never-smokers to improve LUAD risk prediction.PRSs were
                      developed using genome-wide association study summary
                      statistics from East Asian (8,002 cases; 20,782 controls)
                      and European (2,058 cases; 5,575 controls) populations.
                      Single-ancestry models included PRS-25, PRS-CT, and LDpred2;
                      multi-ancestry models included LDpred2+PRS-EUR128, PRS-CSx,
                      and CT-SLEB. Performance was evaluated in independent East
                      Asian data from the Female Lung Cancer Consortium (FLCCA)
                      and externally validated in the Nanjing Lung Cancer Cohort
                      (NJLCC). We assessed predictive accuracy via AUC, with
                      10-year and (age 30-80) absolute risks estimates.The best
                      multi-ancestry PRS, using East Asian and European data via
                      CT-SLEB (clumping and thresholding, super learning,
                      empirical Bayes), outperformed the best East Asian-only PRS
                      (LDpred2; AUC = 0.629, $95\%$ CI:0.618,0.641), achieving an
                      AUC of 0.640 $(95\%$ CI : 0.629,0.653) and odds ratio of
                      1.71 $(95\%$ CI : 1.61,1.82) per SD increase. NJLCC
                      Validation confirmed robust performance (AUC =0.649, $95\%$
                      CI: 0.623, 0.676). The top $20\%$ PRS group had a 3.92-fold
                      higher LUAD risk than the bottom $20\%.$ Further, the top
                      $5\%$ PRS group reached a $6.69\%$ lifetime absolute risk.
                      Notably, this group reached the average population 10-year
                      LUAD risk at age 50 $(0.42\%)$ by age 41, nine years
                      earlier.Multi-ancestry PRS approaches enhance LUAD risk
                      stratification in East Asian never-smokers, with consistent
                      external validation, suggesting future clinical utility.},
      keywords     = {East Asian never smokers (Other) / Genome-wide association
                      studies (Other) / Lifetime absolute risk (Other) / Lung
                      adenocarcinoma (Other) / Polygenic risk scores (Other)},
      cin          = {B370},
      ddc          = {610},
      cid          = {I:(DE-He78)B370-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41032288},
      doi          = {10.1093/jnci/djaf272},
      url          = {https://inrepo02.dkfz.de/record/305046},
}