Estimating genetic correlation jointly using individual-level and summary-level GWAS data.

Zhang Y, Jiang W, Shen J, Cheng Y, Ye Y, Lu Q, Zhao H

Open source

DOI
10.1038/s41467-026-76693-z
Published
2026 Aug 15
Container
Nature communications
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 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:10.1038/s41467-026-76693-z,
  title = {Estimating genetic correlation jointly using individual-level and summary-level GWAS data.},
  author = {Zhang Y and Jiang W and Shen J and Cheng Y and Ye Y and Lu Q and Zhao H},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-76693-z},
  url = {https://doi.org/10.1038/s41467-026-76693-z}
}

RIS

TY  - JOUR
TI  - Estimating genetic correlation jointly using individual-level and summary-level GWAS data.
AU  - Zhang Y
AU  - Jiang W
AU  - Shen J
AU  - Cheng Y
AU  - Ye Y
AU  - Lu Q
AU  - Zhao H
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-76693-z
UR  - https://doi.org/10.1038/s41467-026-76693-z
ER  - 

APA

Y, Z., W, J., J, S., Y, C., Y, Y., Q, L., & H, Z. (2026). Estimating genetic correlation jointly using individual-level and summary-level GWAS data.. Nature communications. https://doi.org/10.1038/s41467-026-76693-z

Source records