Takafumi Ojima
@TakaOjimaAssistant Professor, Dep. Genome Informatics in @UTokyo_News_en, PhD @osaka_univ_e, MD @tohoku_univ_med , Interested in WGS🧬 & PGS🎯
🧬Our PRS paper is out on @NatureGenet 🎯 We evaluated the impact of sample stratification👫 by trait on polygenic prediction🧬🎯 using #BMI and #diabetes ‼️ Huge thanks to all contributors and biobank participants. nature.com/articles/s4158…
Grad to see our latest work about the impact of ancient hunter-gatherer Jomon in the present-day Japanese populations is out in @NatureComms ! nature.com/articles/s4146… Thanks again for the great collaboration with @okada_yukinori, @shige_nakagome, and BBJ.
Genetic & phenotypic impact of ancient hunter-gatherer "Jomon" on modern Japanese🧬. Geographical diversity of Jomon genome proportion across Japanese islands🗾🏝️& link with obesity⚖️. Work with @go_kenbo & @shige_nakagome using BBJ !! Now @NatureComms ㊗️ nature.com/articles/s4146…
Thrilled for #ASHG24. Please check out our latest work about the impact of ancient hunter-gatherer on modern Japanese.
Please check our platform talk at #ASHG2024🎉 1. Deciphering genetic contribution of ancient hunter-gatherer Jomon in Japanese Populations, @go_kenbo, Session 16. 2. Enhancing regulatory variant prioritization via long-range DNA seq and multi-task learning, @qbw_128, Session 73.
日本人参照ゲノム配列JG1をアップデートしたJG2の論文がbioRxivに掲載されました！JG2は3名からフェーズドアセンブリを行って6セットのゲノム配列を構築し、これらの多数決を行うことで、日本人の代表的なアリルをより多くのサイトで搭載しています。
JG2: an updated version of the Japanese population-specific reference genome biorxiv.org/cgi/content/sh… #biorxiv_genomic
Grad to see our Comment about inconsistent embryo selection across PRS methods is out in @NatureHumBehav! nature.com/articles/s4156… Thanks again to the great collab with specialists for genetics/ELSI @akiyama_mst, @kazutokato6, @ogishima, @qsonehara, @go_kenbo, @okada_yukinori
New challenge of Biobank Japan (BBJ) toward mutimodal human brain omics - Brain Biobank Atlas Japan (BBAJ) project🧠🧬🇯🇵 - is featured at @Nature (as advertizement) !! nature.com/articles/d4247…
Here we go! In Tokyo/Osaka Univ, we performed statistical fine-mapping of plasma protein expression QTLs (cis-pQTLs) in >1,000 Japanese individuals, for nearly 3,000 plasma protein expressions as measured by Olink. nature.com/articles/s4158… Seven highlights:
Should we just focus preventive interventions on high-PRS groups in genetic precision medicine? To answer this, we applied Causal Forest to map heterogenous env.-dis. associations across PRS in our paper co-led by @ki_endoepi, published @CommsMedicine! doi.org/10.1038/s43856…
Type 2 diabetes clustering using RF does not require for insulin testing and is scalable to large biobank studies such as our previous study‼️ doi.org/10.1038/s41588… I'm proud to contribute to this great research. Congratulations Dr.Tanabe, @go_over_Neumann & @mshimabukuro38 🎉
In this study, @mshimabukuro38 and colleagues have developed a machine learning-based model that can reproducibly predict subtypes of type 2 diabetes #T2D #MedTwitter tinyurl.com/6t4nbzvs 🔓
Our image is featured as @CellGenomics cover!!! 🎉🎉🎉 cell.com/cell-genomics/… The cover art illustrates gene expression from the inactivated X chromosome as leaky lights emanating from the chromosome! 💡🧬💡 A huge thank you to Anna Tsukasaki for her brilliant design!
Last chance to register for our PRS Workshop in Tokyo!! See details here -> sg.med.osaka-u.ac.jp/school_2024.ht… Please RT 🙏
～今年の遺伝統計学・夏の学校は「応用編」～ We have "onsite" Summer School⛱️🏫of Statistical Genetics🧬at Univ Tokyo (Aug 31-Sep 1). Advanced English course on Polygenic Risk Score (PRS) analysis with @paul_f_oreilly at @IcahnMountSinai #gwas #PRS #omics sg.med.osaka-u.ac.jp/school_2024.ht…
Quantification of escape from X chromosome inactivation with single-cell omics data reveals heterogeneity across cell types and tissues dlvr.it/TBGLX6
We are happy to announce that scLinaX paper is finally published in @CellGenomics 🐧!! If you are interested in escape from X chromosome inactivation, a mechanism contributing to sex difference of transcriptome, please check our paper! cell.com/cell-genomics/… Tweetorial↓
We are happy to announce that our new preprint regarding the scLinaX, software to quantify escape from X chromosome inactivation from 10X scRNA-seq data, was released from bioRxiv 🎉🎉🎉!! biorxiv.org/content/10.110… (1/N)
Our #GWAS🧬 paper on unexplained recurrent pregnancy loss comes out in @NatureComms! We analyzed 1,728 cases and 24,315 female controls, implicating the HLA and cadherin-11 gene with its unexplained etiology. I appreciate all the study participants. nature.com/articles/s4146…
congrats🎉🤰 @qsonehara
GWAS of unexplained recurrent pregnancy loss in 1,728 cases and 24,315 female controls of Japanese ancestry. In addition to MHC locus, the authors find a rare CNV deleting CDH11 (cadherin 11) increases the risk of pregnancy loss by >3-fold compared to non-carriers. Sonehara,…
Excited to share our latest work on genetic risk estimation for primary open-angle glaucoma, now published in Ophthalmology (@AAOjournal ). aaojournal.org/article/S0161-…
～今年の遺伝統計学・夏の学校は「応用編」～ We have "onsite" Summer School⛱️🏫of Statistical Genetics🧬at Univ Tokyo (Aug 31-Sep 1). Advanced English course on Polygenic Risk Score (PRS) analysis with @paul_f_oreilly at @IcahnMountSinai #gwas #PRS #omics sg.med.osaka-u.ac.jp/school_2024.ht…
Tip to improve cross-population polygenic risk score (PRS)🧬transferability of type 2 diabetes (T2D): obesity-based patient stratification⚖️. Now @NatureGenet led by @TakaOjima & collabo with Biobank Japan Project (BBJ) and Tohoku Medical Megabank (ToMMo). nature.com/articles/s4158…
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