JOB

Publications

The results on this website are from the following studies:

Statistically and functionally fine-mapped blood e/pQTLs from 1,405 humans reveal their distinct regulation patterns and disease relevance.
Wang, Q.S., et al, Nat. Genet.(2024) Download
The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force.
Wang, Q.S., et al, Nat. Commun.(2022) Download
Leveraging supervised learning for functionally informed fine-mapping of cis-eQTLs identifies an additional 20,913 putative causal eQTLs.
Wang, Q.S., et al, Nat. Commun.(2021) Download
A cross-population atlas of genetic associations for 220 human phenotypes.
Sakaue, S. & Kanai, M., et al, Nat. Genet.(2021)
Insights from complex trait fine-mapping across diverse populations.
Kanai, M., et al, medRxiv (2021) Download
A systematic evaluation of the design and context dependencies of massively parallel reporter assays.
Klein, J.C., Agarwal, V., Inoue, F., et al, Nat. Methods.(2020)

The massively parallel reporter assay (MPRA) results from 'Statistically and functionally fine-mapped blood eQTLs and pQTLs from 1,405 humans reveal distinct regulation patterns and disease relevance' (Wang et al 2024) are available here .

The summary statistics of eQTL analysis, as well as the RNA-seq expression matrix described in Wang, Q.S., et al. (2022) are available at the National Bioscience Database Center (NBDC) Human Database with the accession number of hum0343.

BioBank Japan Fine-mapping results described in Sakaue, S. & Kanai, M., et al. (2021) can be found here .

UKBB fine-mapping results described in Kanai, M., et al. (2021) are available at the Finucane Lab website .