Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries

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

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DOI
10.1101/2025.07.21.25331778
Published
2025-07-23
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@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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