Introducing REGENIE v3.0 https://t.co/nhRBuhz91L that adds another set of cool new features! Joint work with @covariani and @marchini at @RegeneronDNA 1/n

Exciting news from the RGC team! Our latest paper in Nature Genetics introduces REMETA – a new tool for large-scale genetic meta-analysis. Check out the full paper: https://t.co/ayiWt5Xo9L

JOB ADVERT If you work in statistical genetics/machine learning/imaging and want to join the amazing RGC team @RegeneronDN working on some of the largest and most ancestrally diverse genetic datasets in the world, then check out this role

Check out the release for more details and to obtain pre-compiled binaries. We appreciate all user feedback to improve the tool! https://t.co/ygbNLfUVGS

Finally, we add an option to disable dosage compensation on chrX (`--skip-dosage-comp`) when testing for variants in non-PAR regions of chrX, another feature also requested by users.

You can now specify custom weights to be used for gene-based tests through the annotation input file using options `--weights-col`. After many requests, we are happy to make it available and looking forward to user feedback 🙂.

We introduce a new output format for summary statistics (`--htp`) which is compatible with our recently released tool REMETA. It provides more information such as genotype counts, and confidence intervals compared to the native REGENIE output format. https://t.co/PKrDvOMVRI

This update brings improvement in association testing with hard-call genotype data (e.g. WES/WGS).

REGENIE v4.1 now live! https://t.co/ygbNLfUVGS

Introducing a new method called REMETA from the Regeneron Genetics Center (RGC) @RegeneronDNA for meta-analysis of gene-based tests using summary statistics https://t.co/Bv3pqMB1iy This is great work from Tyler Joseph. Pre-print is here​ https://t.co/CffQXSZPv2

Great work from my colleagues @zou_yuxin and @marchini! If you are at #ASHG2024, please check Yuxin's poster on REGENIE-COX later today 2:30-4PM (Poster #4113T)

Documentation is also live on the website with directions on how to use REGENIE-COX today! https://t.co/7aOQ2tBsPU

We introduce a fast approximate Firth test leveraging the same strategy for binary traits with many covariates. This enables REGENIE-COX to be robust to inflation due to low event rates (i.e. case-control imbalance with few observed events).

Using REGENIE's whole genome regression framework combined with cox proportional hazard regression, we carry out association tests that are robust to population structure/relatedness and lead to improved power performance compared to binary trait analyses under certain settings.

REGENIE v4.0 is live!🎉 You can now analyze time-to-event phenotypes, leveraging power gains with case-control phenotypes where time-to-event information is available. https://t.co/UTp3RGrNof

We’re excited to introduce a method for genetic testing in exome-wide association studies: the Sparse Burden Association Test (SBAT). This innovative gene-based approach combines information across different burden tests to boost power and select the most important tests.

😮‍💨Phew - it only took 2 years but our #GWAS of influenza (40k cases, 1.31M controls) is finally out in @NatureGenet. https://t.co/sRFiqgpyLY

Today, RGC has published an important paper in @Nature today, describing an analysis of close to a million human exomes (n=983,578) as a single variant call set (!). This is the largest and most diverse rare variant database created so far. This impressive feat is accomplished by

One of the most prestigious conference in quantitative genetics is happening in Vienna this summer with a superstar-packed invited speaker lineup: https://t.co/jAKfXm5VX3

This #WHM24, we’re celebrating the impactful contributions of women scientists both throughout history, and today. Watch to learn more about the women in STEM who inspire our colleagues, @cristenw, Mona Nafde and Alison Fenney, with their brilliant minds, courage and tenacity.

SISG registrations are heating up - just a dozen scholarship slots remain - be sure to get in early to avoid fees. We're particularly interested in applications for the introductory courses on statistics, genetics, and programming. @GTBiology @GeorgiaTech @genomestake