Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries
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- 10.1101/2025.07.21.25331778
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- 2025-07-23
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BibTeX
@article{allodium:10.1101/2025.07.21.25331778,
title = {Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries},
author = {Huerta-Chagoya A and Kim J and Mandla R and Lu Y and Suzuki K and Petty LE and Ng HK and Choi J and Lee S and Rout M and Lin K and Adair LS and Adeyemo A and Ahsan H and Akiyama M and An P and Anand SS and Becker DM and Bertoni AG and Bian Z and Bielak LF and Blangero J and Boehnke M and Bottinger EP and Bowden DW and Bragg F and Brody JA and Buchanan TA and Cade BE and Chai J and Chambers JC and Chandak GR and Chang L and Chang K and Chee M and Chen C and Chen Y and Chen Z and Chen YI and Chen J and Chen G and Chen S and Chen W and Cheng C and Cho YS and Choi HS and Chuang L and Cruz M and Cushman M and Das SK and DeFronzo RA and deSilva HJ and Dimitrov L and Doumatey AP and Du S and Duan Q and Duggirala R and Emery LS and Engert JC and Evans DS and Evans MK and Finer S and Florez JC and Floyd JS and Fornage M and Frankel EG and Freedman BI and García-García L and Genter P and Gerstein HC and Goodarzi MO and Gordon-Larsen P and Graff M and Gross M and Guo Y and Guo X and Hai Y and Hanis CL and Hayes M and Horikoshi M and Howard A and Hsu S and Hsueh W and Huang W and Huang M and Hung Y and Hwang MY and Hwu C and Ichihara S and Igase M and Ipp E and Islam MT and Isono M and Jang H and Jasmine F and Jonas JB and Joo YY and Kabagambe E and Kadowaki T and Kamatani Y and Kandeel FR and Kardia SL and Karlson EW and Kasturiratne A and Kato N and Katsuya T and Kaur V and Kawaguchi T and Keaton JM and Kho AN and Khor C and Kibriya M and Kim B and Koh W and Kohara K and Kooner JS and Kooperberg C and Kreienkamp RJ and Lamri A and Lange LA and Lee NR and Lee M and Lee J and Lehman DM and Li L and Li Y and Lim VJ and Liu J and Liu Y and Liu S and Long J and Louie T and Luo X and Lv J and Lynch JA and Maeda S and Mahajan A and Maruthur NM and Matsuda F and McCarthy MI and McKean-Cowdin R and Meigs JB and Millwood IY and Mohlke KL and Motala AA and Nadkarni GN and Nadler JL and Nakatochi M and Nalls MA and Nayak U and Nicolas A and North KE and Nousome D and Okada Y and Pan I and Pankow JS and Paré G and Park J and Park KS and Parra EJ and Patel SR and Pereira MA and Peyser PA and Pirie FJ and Preuss M and Province MA and Psaty BM and Raffel LJ and Raffield LM and Rasmussen-Torvik LJ and Redline S and Reiner AP and Rich SS and Rohde R and Roll K and Roshani R and Rotimi CN and Sabanayagam C and Saleheen D and Sandow K and Schurmann C and Shahriar M and Shaw DM and Sheu WH and Shi J and Shu X and Shuey MM and Siddiqui MK and Smith JA and Sofer T and Spracklen CN and Stilp AM and Sun M and Tabara Y and Tai E and Tajuddin SM and Takahashi A and Takeuchi F and Tan J and Taylor KD and Taylor K and Thameem F and Tong L and Tsai F and Tsao PS and Udler MS and Valladares-Salgado A and van Heel DA and vanDam RM and Varma R and Vora M and Wacher-Rodarte N and Wang Y and Wheeler E and Whitsel EA and Wickremasinghe AR and Wojcik GL and Wong TY and Wu J and Xiang Y and Xiang AH and Yajnik CS and Yamamoto K and Yamauchi T and Yanek LR and Yao J and Yokota M and Yu C and Yuan J and Yusuf S and Zeggini E and Zhang L and Zhang W and Zheng W and Zonderman AB and ENSA Genomics Consortium and Genes \& Health Research Team and VA Million Veteran Program and Aguilar-Salinas CA and González-Villalpando C and Haiman CA and Kim YJ and He S.},
year = {2025},
doi = {10.1101/2025.07.21.25331778},
url = {https://doi.org/10.1101/2025.07.21.25331778}
}RIS
TY - JOUR TI - Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries AU - Huerta-Chagoya A AU - Kim J AU - Mandla R AU - Lu Y AU - Suzuki K AU - Petty LE AU - Ng HK AU - Choi J AU - Lee S AU - Rout M AU - Lin K AU - Adair LS AU - Adeyemo A AU - Ahsan H AU - Akiyama M AU - An P AU - Anand SS AU - Becker DM AU - Bertoni AG AU - Bian Z AU - Bielak LF AU - Blangero J AU - Boehnke M AU - Bottinger EP AU - Bowden DW AU - Bragg F AU - Brody JA AU - Buchanan TA AU - Cade BE AU - Chai J AU - Chambers JC AU - Chandak GR AU - Chang L AU - Chang K AU - Chee M AU - Chen C AU - Chen Y AU - Chen Z AU - Chen YI AU - Chen J AU - Chen G AU - Chen S AU - Chen W AU - Cheng C AU - Cho YS AU - Choi HS AU - Chuang L AU - Cruz M AU - Cushman M AU - Das SK AU - DeFronzo RA AU - deSilva HJ AU - Dimitrov L AU - Doumatey AP AU - Du S AU - Duan Q AU - Duggirala R AU - Emery LS AU - Engert JC AU - Evans DS AU - Evans MK AU - Finer S AU - Florez JC AU - Floyd JS AU - Fornage M AU - Frankel EG AU - Freedman BI AU - García-García L AU - Genter P AU - Gerstein HC AU - Goodarzi MO AU - Gordon-Larsen P AU - Graff M AU - Gross M AU - Guo Y AU - Guo X AU - Hai Y AU - Hanis CL AU - Hayes M AU - Horikoshi M AU - Howard A AU - Hsu S AU - Hsueh W AU - Huang W AU - Huang M AU - Hung Y AU - Hwang MY AU - Hwu C AU - Ichihara S AU - Igase M AU - Ipp E AU - Islam MT AU - Isono M AU - Jang H AU - Jasmine F AU - Jonas JB AU - Joo YY AU - Kabagambe E AU - Kadowaki T AU - Kamatani Y AU - Kandeel FR AU - Kardia SL AU - Karlson EW AU - Kasturiratne A AU - Kato N AU - Katsuya T AU - Kaur V AU - Kawaguchi T AU - Keaton JM AU - Kho AN AU - Khor C AU - Kibriya M AU - Kim B AU - Koh W AU - Kohara K AU - Kooner JS AU - Kooperberg C AU - Kreienkamp RJ AU - Lamri A AU - Lange LA AU - Lee NR AU - Lee M AU - Lee J AU - Lehman DM AU - Li L AU - Li Y AU - Lim VJ AU - Liu J AU - Liu Y AU - Liu S AU - Long J AU - Louie T AU - Luo X AU - Lv J AU - Lynch JA AU - Maeda S AU - Mahajan A AU - Maruthur NM AU - Matsuda F AU - McCarthy MI AU - McKean-Cowdin R AU - Meigs JB AU - Millwood IY AU - Mohlke KL AU - Motala AA AU - Nadkarni GN AU - Nadler JL AU - Nakatochi M AU - Nalls MA AU - Nayak U AU - Nicolas A AU - North KE AU - Nousome D AU - Okada Y AU - Pan I AU - Pankow JS AU - Paré G AU - Park J AU - Park KS AU - Parra EJ AU - Patel SR AU - Pereira MA AU - Peyser PA AU - Pirie FJ AU - Preuss M AU - Province MA AU - Psaty BM AU - Raffel LJ AU - Raffield LM AU - Rasmussen-Torvik LJ AU - Redline S AU - Reiner AP AU - Rich SS AU - Rohde R AU - Roll K AU - Roshani R AU - Rotimi CN AU - Sabanayagam C AU - Saleheen D AU - Sandow K AU - Schurmann C AU - Shahriar M AU - Shaw DM AU - Sheu WH AU - Shi J AU - Shu X AU - Shuey MM AU - Siddiqui MK AU - Smith JA AU - Sofer T AU - Spracklen CN AU - Stilp AM AU - Sun M AU - Tabara Y AU - Tai E AU - Tajuddin SM AU - Takahashi A AU - Takeuchi F AU - Tan J AU - Taylor KD AU - Taylor K AU - Thameem F AU - Tong L AU - Tsai F AU - Tsao PS AU - Udler MS AU - Valladares-Salgado A AU - van Heel DA AU - vanDam RM AU - Varma R AU - Vora M AU - Wacher-Rodarte N AU - Wang Y AU - Wheeler E AU - Whitsel EA AU - Wickremasinghe AR AU - Wojcik GL AU - Wong TY AU - Wu J AU - Xiang Y AU - Xiang AH AU - Yajnik CS AU - Yamamoto K AU - Yamauchi T AU - Yanek LR AU - Yao J AU - Yokota M AU - Yu C AU - Yuan J AU - Yusuf S AU - Zeggini E AU - Zhang L AU - Zhang W AU - Zheng W AU - Zonderman AB AU - ENSA Genomics Consortium AU - Genes & Health Research Team AU - VA Million Veteran Program AU - Aguilar-Salinas CA AU - González-Villalpando C AU - Haiman CA AU - Kim YJ AU - He S. PY - 2025 DO - 10.1101/2025.07.21.25331778 UR - https://doi.org/10.1101/2025.07.21.25331778 ER -
APA
A, H., J, K., R, M., Y, L., K, S., LE, P., HK, N., J, C., S, L., M, R., K, L., LS, A., A, A., H, A., M, A., P, A., SS, A., DM, B., AG, B., Z, B., LF, B., J, B., M, B., EP, B., DW, B., F, B., JA, B., TA, B., BE, C., J, C., JC, C., GR, C., L, C., K, C., M, C., C, C., Y, C., Z, C., YI, C., J, C., G, C., S, C., W, C., C, C., YS, C., HS, C., L, C., M, C., M, C., SK, D., RA, D., HJ, D., L, D., AP, D., S, D., Q, D., R, D., LS, E., JC, E., DS, E., MK, E., S, F., JC, F., JS, F., M, F., EG, F., BI, F., L, G., P, G., HC, G., MO, G., P, G., M, G., M, G., Y, G., X, G., Y, H., CL, H., M, H., M, H., A, H., S, H., W, H., W, H., M, H., Y, H., MY, H., C, H., S, I., M, I., E, I., MT, I., M, I., H, J., F, J., JB, J., YY, J., E, K., T, K., Y, K., FR, K., SL, K., EW, K., A, K., N, K., T, K., V, K., T, K., JM, K., AN, K., C, K., M, K., B, K., W, K., K, K., JS, K., C, K., RJ, K., A, L., LA, L., NR, L., M, L., J, L., DM, L., L, L., Y, L., VJ, L., J, L., Y, L., S, L., J, L., T, L., X, L., J, L., JA, L., S, M., A, M., NM, M., F, M., MI, M., R, M., JB, M., IY, M., KL, M., AA, M., GN, N., JL, N., M, N., MA, N., U, N., A, N., KE, N., D, N., Y, O., I, P., JS, P., G, P., J, P., KS, P., EJ, P., SR, P., MA, P., PA, P., FJ, P., M, P., MA, P., BM, P., LJ, R., LM, R., LJ, R., S, R., AP, R., SS, R., R, R., K, R., R, R., CN, R., C, S., D, S., K, S., C, S., M, S., DM, S., WH, S., J, S., X, S., MM, S., MK, S., JA, S., T, S., CN, S., AM, S., M, S., Y, T., E, T., SM, T., A, T., F, T., J, T., KD, T., K, T., F, T., L, T., F, T., PS, T., MS, U., A, V., DA, V. H., RM, V., R, V., M, V., N, W., Y, W., E, W., EA, W., AR, W., GL, W., TY, W., J, W., Y, X., AH, X., CS, Y., K, Y., T, Y., LR, Y., J, Y., M, Y., C, Y., J, Y., S, Y., E, Z., L, Z., W, Z., W, Z., AB, Z., Consortium, E. G., Team, G. &. H. R., Program, V. M. V., CA, A., C, G., CA, H., YJ, K., & S., H. (2025). Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries. https://doi.org/10.1101/2025.07.21.25331778
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- europe-pmc · retrieved 2026-09-27T02:19:37.590Z