Jack Kosmicki Profile picture
Jun 24 8 tweets 3 min read Read on X
After 4 years, it's rather nice to finally present our work on genetic's model trait, height, in >1.4M WES/WGS samples led by @doc_locke, @Mar_ferreira17, & @gabecasis where we found 207 genes [amongst many other results].

A thread of findings below⬇️
medrxiv.org/content/10.648…Image
After conditioning on common variants, we found 207 genes (P<1.75e-9) via @marchini & @covariani's gene-P method to combine burden, SBAT, SKAT-O, & ACAT-V gene-based tests into 1 p-value. Burden tests find the majority of genes, but 28 (14%) are found only via SKAT-O/ACAT-V. Image
With burden tests, we observed the classic tradeoff between adding increasingly common variants to boost statistical power (via more allele counts) at the cost of weaker effect sizes.
Ex: We found 17 genes via singleton pLoFs (|β|=9cm) but 76 genes from <1% pLoFs (|β|=4cm). Image
The most surprising result for me (obvious in hindsight🤦‍♂️) was finding well-known large effect, constrained, developmental genes like CHD8 (#ASD) or ANKRD11 (neurodevelopmental delay) by studying height - they do a lot more than just affect ASD or NDD! Image
Often ignored by papers are individual rare variants. After conditioning on GWAS loci, we found 107 rare nonsynonymous variants (P<1.75e-9) including FGFR3 & PTPN11 GoF missense variants with effects larger than singleton pLoF burdens (causing Acondroplasia & Noonan syndrome).
I found the analysis of individual rare variants to be quite insightful (shoutout to @doc_locke for suggesting it). B/c some genes' have large variance in per-variant βs, the burden β can be misleading. KMT2B burden 20x smaller than its largest missense variant (0.4cm v 7.7cm)
Inspired by one of my favorite papers by @HHeyne & @dalygene on recessive associations in FinnGen, I sadly only found 1 recessive association missed by the additive test - CFTR's delta508 mutation (recessive P=5e-10; additive P=0.14).
rdcu.be/fqfiK
Lastly, my partner-in-crime, Liron Ganel, found an AMR-enriched missense variant in HHIP that lowers height by -4cm. This was even more interesting b/c it acts opposite to HHIP singleton pLoFs that increased height by +10cm.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Jack Kosmicki

Jack Kosmicki Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @jakphd

Oct 19, 2022
🤯 The black death killed 30-60% of Europe so it's reasonable to think it affected the allele frequency spectrum.

Absolutely incredible @Nature paper using ancient DNA pre-post the black death to show positive selection of immune genes due to the plague (Fig2d-g). Image
It's so impressive they got 206 ancient DNA samples pre-, during, and post- plague in not 1, but 2 cities (so they could replicate the findings). I'm honestly gobsmacked at how cool this paper is. Huge congrats to Jennifer Klunk, @TaurVil, @LB_Barreiro and co.🎉
One certainly has to imagine a similar situation happened with others:
Antonine Plague (165-180CE): 💀25-33% of Roman Pop
Justinian Plague (541-549CE): 💀25-60% of Byzantine Empire
Japanese smallpox epidemic (735-737CE): 💀33% of Japan
Read 4 tweets
Oct 20, 2021
Last in this #ASHG21 late breaking plenary session is Bailey Martin-Giacalone presenting on germline variants in cancer predisposition genes predict survival for children with rhabdomyosarcoma
#ASHG21 Martin-Giacalone: Want to look at germline (not somatic) variants associated with rhabdomyosarcoma (RMS ).

Exome-sequenced 615 RMS cases and 9963 adult controls.
#ASHG21 Martin-Giacalone: Examined 63 cancer predisposition genes. Found 7.3% RMS cases had variants (not sure what type??) compared to 1.5% of controls. TP53, NF1, HRAS had the largest excess.
Read 8 tweets
Oct 20, 2021
Next up in the #ASHG21 late breaking plenary session is Elisa De Franco (@Elisa_EDF) presenting loss of primate-specific gene ZNF808.
#ASHG21 @Elisa_EDF: studying mice can provide insights into human biology, but there are differences. Mice have 2 genes for insulin (Ins1, Ins2), humans have 1 (INS).
#ASHG21 @Elisa_EDF: looked at 2877 neonatal diabetes patients from 111 countries and want Identify genes with pancreatic genesis.
Read 9 tweets
Oct 20, 2021
Next up in the #ASHG21 plenary session is Jonathan Sebat (@sebatlab) covering WGS of #Autism combining common and rare variants.
#ASHG21 @sebatlab: Found more de novo variants in cases than controls, rare inherited variants overtransmitted to cases, polygenic scores overtransmitted to cases. As such, all 3 categories are associated with #Autism risk.
#ASHG21 @sebatlab: created rare variant and common variant risk scores and both were associated with #autism status.
Read 8 tweets
Oct 20, 2021
#ASHG21 first up in the late breaking plenary session is Wenhan Lu looking at pleiotropy in the UKB exomes available at genebass.org
#ASHG21 Lu: observe large-scale pleiotropy across individual variants and genes.
24 genes have >10 independent phenotypic associations
#ASHG21 Lu: Group 491 ICD diseases into 41 domains.
Example: LDLR and ADH1B each have multiple gene associations across different domains
Read 7 tweets
Oct 19, 2021
Really impressive talk on noncoding #constraint in #gnomAD genomes from Siwei Chen (@konradjk's lab).

#ASHG21
Chen: Calculated constraint on 1kb windows using Z scores.

How do known non-coding elements (like enhancers) look when viewed through the lens on constraint?

#ASHG21
Chen: When looking at largest constraint Z-scores (top Z-score was 4 on the figures)
- Super enhancers ~3x enriched
- ENCODE cCRE enhancers ~2.25x enriched
- FANTOM enhancers ~1.75x enriched

#ASHG21
Read 8 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(