PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups.

Levi H, Wang Q, Bolla MK, Dennis J, Andrulis IL, Antonenkova N, Au CH, Augustinsson A, Beane Freeman LE, Behrens S, Bermisheva M, Bodelon C, Bogdanova NV, Bojesen SE, Brenner H, Brock IW, Brüning T, Byers H, Camp NJ, Castelao JE, Choi JY, Chung WK, NBCS Collaborators, Colonna SV, Couch FJ, Czene K, Daly MB, Devilee P, Dörk T, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Faw K, Gago-Dominguez M, García-Closas M, Haiman CA, Hamann U, Hartman M, Ho V, Ho PJ, Hooning MJ, Hoppe R, Howell SJ, ABCTB Investigators, SGBCC Investigators, Ito H, Iwasaki M, Jakubowska A, Jernström H, Joseph V, Kaaks R, Kang D, Khusnutdinova EK, Kiprijanovska S, Koutros S, Kristensen VN, Kurian AW, Kwong A, Lambrechts D, Larson NL, Marchand LL, Li S, Li J, Lophatananon A, Mannermaa A, Matsuo K, Maxwell W, Muir K, Nevelsteen I, Obi N, O'Brien KM, Offit K, Ottewell PD, Patel AV, Peterlongo P, Plaseska-Karanfilska D, Prajzendanc K, Radice P, Ramachandran D, Rashid MU, Romero A, Saloustros E, Sandler DP, Schöttker B, Simard J, Southey MC, Stone J, Sugier PE, Taylor JA, Teras LR, Truong T, Weinberg CR, Yadav S, Yamaji T, Zheng W, Dunning AM, Mavaddat N, Easton DF, Michailidou K, Elkon R, Shamir R

Open source

DOI
10.64898/2026.07.12.26357860
Published
2026 Jul 15
Container
medRxiv : the preprint server for health sciences
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.64898/2026.07.12.26357860,
  title = {PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups.},
  author = {Levi H and Wang Q and Bolla MK and Dennis J and Andrulis IL and Antonenkova N and Au CH and Augustinsson A and Beane Freeman LE and Behrens S and Bermisheva M and Bodelon C and Bogdanova NV and Bojesen SE and Brenner H and Brock IW and Brüning T and Byers H and Camp NJ and Castelao JE and Choi JY and Chung WK and NBCS Collaborators and Colonna SV and Couch FJ and Czene K and Daly MB and Devilee P and Dörk T and Eliassen AH and Eriksson M and Evans DG and Fasching PA and Faw K and Gago-Dominguez M and García-Closas M and Haiman CA and Hamann U and Hartman M and Ho V and Ho PJ and Hooning MJ and Hoppe R and Howell SJ and ABCTB Investigators and SGBCC Investigators and Ito H and Iwasaki M and Jakubowska A and Jernström H and Joseph V and Kaaks R and Kang D and Khusnutdinova EK and Kiprijanovska S and Koutros S and Kristensen VN and Kurian AW and Kwong A and Lambrechts D and Larson NL and Marchand LL and Li S and Li J and Lophatananon A and Mannermaa A and Matsuo K and Maxwell W and Muir K and Nevelsteen I and Obi N and O'Brien KM and Offit K and Ottewell PD and Patel AV and Peterlongo P and Plaseska-Karanfilska D and Prajzendanc K and Radice P and Ramachandran D and Rashid MU and Romero A and Saloustros E and Sandler DP and Schöttker B and Simard J and Southey MC and Stone J and Sugier PE and Taylor JA and Teras LR and Truong T and Weinberg CR and Yadav S and Yamaji T and Zheng W and Dunning AM and Mavaddat N and Easton DF and Michailidou K and Elkon R and Shamir R},
  year = {2026},
  journal = {medRxiv : the preprint server for health sciences},
  doi = {10.64898/2026.07.12.26357860},
  url = {https://doi.org/10.64898/2026.07.12.26357860}
}

RIS

TY  - JOUR
TI  - PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups.
AU  - Levi H
AU  - Wang Q
AU  - Bolla MK
AU  - Dennis J
AU  - Andrulis IL
AU  - Antonenkova N
AU  - Au CH
AU  - Augustinsson A
AU  - Beane Freeman LE
AU  - Behrens S
AU  - Bermisheva M
AU  - Bodelon C
AU  - Bogdanova NV
AU  - Bojesen SE
AU  - Brenner H
AU  - Brock IW
AU  - Brüning T
AU  - Byers H
AU  - Camp NJ
AU  - Castelao JE
AU  - Choi JY
AU  - Chung WK
AU  - NBCS Collaborators
AU  - Colonna SV
AU  - Couch FJ
AU  - Czene K
AU  - Daly MB
AU  - Devilee P
AU  - Dörk T
AU  - Eliassen AH
AU  - Eriksson M
AU  - Evans DG
AU  - Fasching PA
AU  - Faw K
AU  - Gago-Dominguez M
AU  - García-Closas M
AU  - Haiman CA
AU  - Hamann U
AU  - Hartman M
AU  - Ho V
AU  - Ho PJ
AU  - Hooning MJ
AU  - Hoppe R
AU  - Howell SJ
AU  - ABCTB Investigators
AU  - SGBCC Investigators
AU  - Ito H
AU  - Iwasaki M
AU  - Jakubowska A
AU  - Jernström H
AU  - Joseph V
AU  - Kaaks R
AU  - Kang D
AU  - Khusnutdinova EK
AU  - Kiprijanovska S
AU  - Koutros S
AU  - Kristensen VN
AU  - Kurian AW
AU  - Kwong A
AU  - Lambrechts D
AU  - Larson NL
AU  - Marchand LL
AU  - Li S
AU  - Li J
AU  - Lophatananon A
AU  - Mannermaa A
AU  - Matsuo K
AU  - Maxwell W
AU  - Muir K
AU  - Nevelsteen I
AU  - Obi N
AU  - O'Brien KM
AU  - Offit K
AU  - Ottewell PD
AU  - Patel AV
AU  - Peterlongo P
AU  - Plaseska-Karanfilska D
AU  - Prajzendanc K
AU  - Radice P
AU  - Ramachandran D
AU  - Rashid MU
AU  - Romero A
AU  - Saloustros E
AU  - Sandler DP
AU  - Schöttker B
AU  - Simard J
AU  - Southey MC
AU  - Stone J
AU  - Sugier PE
AU  - Taylor JA
AU  - Teras LR
AU  - Truong T
AU  - Weinberg CR
AU  - Yadav S
AU  - Yamaji T
AU  - Zheng W
AU  - Dunning AM
AU  - Mavaddat N
AU  - Easton DF
AU  - Michailidou K
AU  - Elkon R
AU  - Shamir R
PY  - 2026
JO  - medRxiv : the preprint server for health sciences
DO  - 10.64898/2026.07.12.26357860
UR  - https://doi.org/10.64898/2026.07.12.26357860
ER  - 

APA

H, L., Q, W., MK, B., J, D., IL, A., N, A., CH, A., A, A., LE, B. F., S, B., M, B., C, B., NV, B., SE, B., H, B., IW, B., T, B., H, B., NJ, C., JE, C., JY, C., WK, C., Collaborators, N., SV, C., FJ, C., K, C., MB, D., P, D., T, D., AH, E., M, E., DG, E., PA, F., K, F., M, G., M, G., CA, H., U, H., M, H., V, H., PJ, H., MJ, H., R, H., SJ, H., Investigators, A., Investigators, S., H, I., M, I., A, J., H, J., V, J., R, K., D, K., EK, K., S, K., S, K., VN, K., AW, K., A, K., D, L., NL, L., LL, M., S, L., J, L., A, L., A, M., K, M., W, M., K, M., I, N., N, O., KM, O., K, O., PD, O., AV, P., P, P., D, P., K, P., P, R., D, R., MU, R., A, R., E, S., DP, S., B, S., J, S., MC, S., J, S., PE, S., JA, T., LR, T., T, T., CR, W., S, Y., T, Y., W, Z., AM, D., N, M., DF, E., K, M., R, E., & R, S. (2026). PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.07.12.26357860

Source records