Seiya Imoto

Sep 27, 2024 | nature.com | Qingbo Wang |Ho Namkoong |Ryunosuke Saiki |Kyuto Sonehara |Shuhei Azekawa |Yugo Takahashi | +12 more

Correction to: Nature Genetics https://doi.org/10.1038/s41588-024-01896-3, published online 24 September 2024. In the version of the article initially published, there was an error in the x-axis label of Fig. 1a, where in the text now reading “pQTL –log10(P) ≥ x” it originally read “… ≤ x.” In the keys to both graphs in Fig. 7b, the blue dot was listed as “β > 0” and has now been amended to “β < 0.” The symbols are corrected in the HTML and PDF versions of the article.

Sep 24, 2024 | nature.com | Qingbo Wang |Ho Namkoong |Ryunosuke Saiki |Kyuto Sonehara |Shuhei Azekawa |Saori Sakaue | +12 more

AbstractStudying the genetic regulation of protein expression (through protein quantitative trait loci (pQTLs)) offers a deeper understanding of regulatory variants uncharacterized by mRNA expression regulation (expression QTLs (eQTLs)) studies. Here we report cis-eQTL and cis-pQTL statistical fine-mapping from 1,405 genotyped samples with blood mRNA and 2,932 plasma samples of protein expression, as part of the Japan COVID-19 Task Force (JCTF).

Sep 2, 2024 | biorxiv.org | Dawei Shen |Yao-zhong Zhang |Seiya Imoto

AbstractWhole Slide Images (WSIs) are high-resolution digital scans of entire microscope slides, extensively used in pathology to enable detailed examination of tissue samples. WSI tumor classification is a classic application of Multiple Instance Learning (MIL). In this process, a WSI is first divided into image tiles, and each tile is encoded into an embedding vector using a pretrained vision encoder. A lightweight MIL model then aggregates all the embeddings in a WSI for classification.