Sara Carioscia (@saracarioscia) 's Twitter Profile
Sara Carioscia

@saracarioscia

Genomics, evolution, bikes | PhD candidate @HopkinsCMDB w/ @RajivMcCoy

ID: 308428661

linkhttps://scarioscia.github.io/ calendar_today31-05-2011 11:54:49

1,1K Tweet

609 Followers

799 Following

Rajiv McCoy (@rajivmccoy) 's Twitter Profile Photo

Our latest study presents open access RNA-seq data from cell lines from 731 people from 26 globally diverse populations, addressing a persistent ancestry bias in our field. We hope this resource enables more equitable advances in personalized medicine. nature.com/articles/s4158…

Our latest study presents open access RNA-seq data from cell lines from 731 people from 26 globally diverse populations, addressing a persistent ancestry bias in our field. We hope this resource enables more equitable advances in personalized medicine. nature.com/articles/s4158…
Sara Carioscia (@saracarioscia) 's Twitter Profile Photo

Ok I love the idea of "issues" on GitHub. Got a problem with something? submit an issue. Wish it worked better? issue. Someone's standing on the left side of the escalator? issue. seminar question that's more of a comment? issue.

Sara Carioscia (@saracarioscia) 's Twitter Profile Photo

Re-upping the thread QT'd here as it's #NSF #GRFP season! Read other people's reviews! Send your letter writers info to put in your letter! Have your mentors/colleagues/friends read your essays! What else??

Sara Carioscia (@saracarioscia) 's Twitter Profile Photo

Had a great time at our dept retreat last week! Grateful for the chance to present my thesis work and to hang with my lab and colleagues!

Had a great time at our dept retreat last week! Grateful for the chance to present my thesis work and to hang with my lab and colleagues!
Rajiv McCoy (@rajivmccoy) 's Twitter Profile Photo

Looking forward to ASHG this week! I will be presenting work led by @aabiddanda and Sara Carioscia using data from >100,000 IVF embryos to discover genetic variants influencing meiotic recombination and aneuploidy at the opening session on Tuesday evening. #ASHG24 🧬🏔️

Matthew Neville (@mdc_neville) 's Twitter Profile Photo

Excited to share our new preprint in which we address: (1) Accurate sequencing of sperm at scale (2) Positive selection of spermatogenesis driver mutations across the exome (3) Offspring disease risks from male reproductive aging [1/15] medrxiv.org/content/10.110…

Sara Carioscia (@saracarioscia) 's Twitter Profile Photo

Excited for Rajiv to share our work this evening on aneuploidy and recombination in human IVF embryos! If you're at #ASHG24 check it out!!

Michael Hoffman @michaelhoffman.bsky.social (@michaelhoffman) 's Twitter Profile Photo

Liveposting on Bluesky: Rajiv McCoy: Genetic architecture of meiotic recombination across 90,431 in vitro fertilized embryos #ASHG24 bsky.app/profile/michae…

Claudia Gonzaga-Jauregui (@cgonzagaj) 's Twitter Profile Photo

Next Rajiv McCoy presents on the genetic architecture of meiotic recombination across >90k in vitro fertilized embryos. Strong selection at blastocyst stage w/ ~66% being euploid, however remaining embryos had aneuploidies and complex chromosomal rearrangements. #ASHG24 #ASHG2024

Alex Cagan (@atjcagan) 's Twitter Profile Photo

Talk by Rajiv McCoy on the genetic architecture of meiotic recombination from over 100,000 in vitro fertilised embryos #ASHG24

Talk by Rajiv McCoy on the genetic architecture of meiotic recombination from over 100,000 in vitro fertilised embryos #ASHG24
Harsh Sheth (@professor_gene) 's Twitter Profile Photo

A tour de force talk by Rajiv McCoy showing common variants in certain genes driving crossover rates and aneuploidy risk. Specifically common variants in cohesin complex. Mechanism driving both disease risk and evolution. #ASHG2024

A tour de force talk by <a href="/rajivmccoy/">Rajiv McCoy</a>  showing common variants in certain genes driving crossover rates and aneuploidy risk. Specifically common variants in cohesin complex. Mechanism driving both disease risk and evolution. #ASHG2024
Rajiv McCoy (@rajivmccoy) 's Twitter Profile Photo

Aneuploidy is the leading cause of pregnancy loss. In our study (biorxiv.org/content/10.110…) led by undergrad Angela Yang, we used a simulation framework to infer rates of meiotic (39-43%) and mitotic errors (1-3% per division) that best explain data from human IVF embryo biopsies.

Aneuploidy is the leading cause of pregnancy loss. In our study (biorxiv.org/content/10.110…) led by undergrad Angela Yang, we used a simulation framework to infer rates of meiotic (39-43%) and mitotic errors (1-3% per division) that best explain data from human IVF embryo biopsies.