Scalable context-dependent single-cell eQTL mapping reveals disease-relevant regulatory variation beyond static models

Liu YC, Cuomo AS, Huang Y, Perez-Schindler J, Min B, Datta S, Nambrath N, Hu L, Nam K, Kanai M, Xue A, Xavier RJ, Daly MJ, MacArthur DG, Powell JE, Claussnitzer M, Neale BM, Zhou W.

Open source

DOI: 10.64898/2026.08.13.26360300
Published: 2026-08-14
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Cite this work

BibTeX

@article{allodium:10.64898/2026.08.13.26360300,
  title = {Scalable context-dependent single-cell eQTL mapping reveals disease-relevant regulatory variation beyond static models},
  author = {Liu YC and  Cuomo AS and  Huang Y and  Perez-Schindler J and  Min B and  Datta S and  Nambrath N and  Hu L and  Nam K and  Kanai M and  Xue A and  Xavier RJ and  Daly MJ and  MacArthur DG and  Powell JE and  Claussnitzer M and  Neale BM and  Zhou W.},
  year = {2026},
  doi = {10.64898/2026.08.13.26360300},
  url = {https://doi.org/10.64898/2026.08.13.26360300}
}

RIS

TY  - JOUR
TI  - Scalable context-dependent single-cell eQTL mapping reveals disease-relevant regulatory variation beyond static models
AU  - Liu YC
AU  -  Cuomo AS
AU  -  Huang Y
AU  -  Perez-Schindler J
AU  -  Min B
AU  -  Datta S
AU  -  Nambrath N
AU  -  Hu L
AU  -  Nam K
AU  -  Kanai M
AU  -  Xue A
AU  -  Xavier RJ
AU  -  Daly MJ
AU  -  MacArthur DG
AU  -  Powell JE
AU  -  Claussnitzer M
AU  -  Neale BM
AU  -  Zhou W.
PY  - 2026
DO  - 10.64898/2026.08.13.26360300
UR  - https://doi.org/10.64898/2026.08.13.26360300
ER  -

APA

YC, L., AS, C., Y, H., J, P., B, M., S, D., N, N., L, H., K, N., M, K., A, X., RJ, X., MJ, D., DG, M., JE, P., M, C., BM, N., & W., Z. (2026). Scalable context-dependent single-cell eQTL mapping reveals disease-relevant regulatory variation beyond static models. https://doi.org/10.64898/2026.08.13.26360300

Source records

europe-pmc · retrieved 2026-09-25T20:43:21.176Z