Xin Wang
@XWang829
Statistical geneticist
Previous papers have shown that drug targets with supporting genetic evidence can have twice the success rate when reaching clinical trials. In our most recent paper (medrxiv.org/content/10.110…), we looked at how data from @23andMe can provide additional genetic evidence. 🧵1/8
Come join the webinar and hear about our latest update on how programs supported by genetic evidence from 23andMe improves clinical success!
Webinar: 90% of therapeutic programs in clinical trials fail. Join us Tues Aug 13 at 12pm ET to hear from Xin Wang, Ph.D. from @23andMe as she shares recent work on how the scale of genetic data and improved methods impact clinical success. Register here: bit.ly/3zWGI9y
In a preprint from the @23andMeResearch team, we used Mendelian randomization to explore the genetically-predicted causal effects of Lp(a) on a range (n=489) of human traits and diseases. medrxiv.org/content/10.110…
In the latest edition of "Huh, I didn't expect that to work", our latest paper shows that LLMs can outperform existing methods for identifying causal genes in genome-wide association studies. 🧵 medrxiv.org/content/10.110…
We have a new preprint out! This work shows the protective effects of LoFs in MAP3K15 in Type II diabetes risk (even on high risk PRS backgrounds), and importantly the "genetics driven recruitment" capabilities of the @23andMe database. medrxiv.org/content/10.110…
Come join a fantastic team at @23andMe. Apply at 23andme.com/careers/jobs/6… if you’re interested!
This looks incredible
Webinar: 90% of therapeutic programs in clinical trials fail. Join us Tues Aug 13 at 12pm ET to hear from Xin Wang, Ph.D. from @23andMe as she shares recent work on how the scale of genetic data and improved methods impact clinical success. Register here: bit.ly/3zWGI9y
1/Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence - which reflects the data they’re trained on - makes them more likely to mislead.
Want to work with one of the largest human genetics datasets in the world? I'm hiring a Statistical Geneticist Intern who will explore family-based tests! If you're currently pursuing a PhD and interested in getting industry experience, apply here: grnh.se/41808ff22us
nature.com/articles/s4158… This study quantifies the overall contributions of both common and rare variants to the phenotypic variation in a complex trait (height or BMI in this case),
Join our webinar tomorrow 9-10 am PST to learn more about how self-reported #raredisease data can be used to discover genetic associations for rare diseases!
Join us for a free webinar on our #RareDisease research Tuesday, Dec 7th from 9am - 10am PST Featuring Suyash Shringarpure PhD, Sr. Scientist II, Statistical Genetics & John Matthews, PhD, MRCP (UK), Sr. Clinical Development Fellow Register in advance: 23andme.zoom.us/webinar/regist…