Evonne McArthur Profile picture
Aug 6, 2021 14 tweets 8 min read Read on X
As promised, here is my #tweetorial for our @capra_lab @NatureComms paper! Interested in complex trait #genetics, #heritability, #Evolution , or #Neanderthals ? 🧬

Paper: nature.com/articles/s4146…
"Behind the paper" article: natureecoevocommunity.nature.com/posts/uncoveri…

1/
We have examples of how Neanderthals gave Eurasians individual genetic variants that contribute to traits; however, most medically/evolutionarily relevant traits are complex, with contributions from thousands of parts of the genome. We wanted something more comprehensive...

2/
We use partitioned heritability to investigate the relationship between introgression and diverse traits. First, we show that genomic regions with Neanderthal ancestry are depleted of heritability for all traits considered, except those related to skin and hair.

3/ Image
This expands upon previous findings showing that regions with Neanderthal ancestry are depleted for background selection and functional annotations. Not only are these regions depleted for functional annotations, but they are depleted for association with most human traits!

4/
Then, for the introgressed variants specifically, we ask: how do they contribute to the genetics/heritability of 400+ traits? (thanks @uk_biobank!)

*Enriched for contribution to skin/bone/WBC/respiratory traits
*Depleted for contribution to cognition/procreation

5/ Image
Partitioned heritability quantifies the overall contribution to variation in traits, but does not consider the direction of effect.

(Think: Do Neanderthal variants contribute to height? VERSUS Are Neanderthal variants more likely to make me taller or shorter?)

6/
We used two approaches to test for directionality but, overall:

For some traits, Neanderthal variants contribute a directional effect (balding risk, younger menopause, larger FVC, morningness, sunburn risk). 🧑‍🦲🫁🌞

For other traits, we observed no/little directional bias.

7/ Image
To contextualize these results, we propose a model that links these above results:

1. observed patterns of heritability and
2. direction of effect

to hypotheses about the history of selective pressures on introgressed haplotypes.

8/ Image
I think I best describe the intuition behind these scenarios with examples in this post: natureecoevocommunity.nature.com/posts/uncoveri…

For example, consider the differences in potential pressures on introgressed variants associated with sunburn(skin color) vs. diabetes(glucose homeostasis)

9/ Image
The relationship between complex trait heritability and evolution/selection is so complicated and interesting! I spent a lot of time trying to envision different scenarios. So for fun/learning, I built an interactive app: neanderthal-heritability.herokuapp.com with @plotlygraphs @heroku

10/
These models are an oversimplification of a lot of complex environmental/genetic/demographic factors. However, we hope our discussion/model provides useful context for our results and a framework for future work. Feedback and thoughts welcome!

11/
Notably, our work only quantifies contribution of common variants in European populations. We anticipate more genetic data from non-European populations, new statistical methods, and future simulations will continue to provide a window of understanding into our past! 🌏👩‍💻

12/
This work would not have been possible without an amazing community and some really thoughtful reviewers (check out new results since our @biorxivpreprint !) Shout out to:

@capra_lab
@DaRinker
@VUMCgenetics
@ACCREVandy
@VanderbiltMSTP
@UCSF_BCHSI
@UCSF_Epibiostat

13/13

• • •

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

Keep Current with Evonne McArthur

Evonne McArthur 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 @EvonneMcArthur

Oct 7, 2022
Reflecting on today's fantastic #iMED2022, I am thrilled to share an app I've been creating to create high-quality🤓, collaborative🗺️, & dynamic 📈diagnostic #MedEd schemas!

Schematify App Here: diagnostic-schema.herokuapp.com
Video:
Check it out: 1/
Medical learning is all about the organization of a HUGE amount of (growing) knowledge😅

I loved the concept of a logical framework...but my handwriting, spelling and ability to hold onto paper documents is👎🙈

Plus, I wanted to be able to collaborate dynamically with YOU!🤩 2/ Schemas can help provide an...
Current tools (handwritten, PowerPoint, chart apps) all had their limitations and were not designed for medical trainees!

So I used @ThePSF #python 🐍with @plotlygraphs Dash and @Graphviz to develop a web tool that leverages the collaboration capabilities of @googlesheets 3/
Read 6 tweets
Feb 9, 2022
Ever wonder what the #3Dgenome folding🔺of a Neanderthal looked like?! Could it hold any clues as to where and why we have DNA 🧬and trait differences?

Check out our @capra_lab, Pollard lab & @gfudenberg lab collaboration @biorxivpreprint biorxiv.org/content/10.110…

1/8
Sadly, bc of ancient👴sample degradation, we've never explored the role of the 3D genome in archaic hominins like Neanderthals/Denisovans.

But lucky for us, new deep learning models can infer 3D genome structure from DNA sequence alone (like @gfudenberg & @drklly's Akita).

2/8
Using these models, we predict 3D contact maps across Neanderthal, Denisovan, and diverse modern human genomes.

We identify 167 distinct regions with diverged 3D genome organization between archaics and modern humans across the genome!

3/8
Read 9 tweets
Feb 4, 2021
Excited to present my first @capra_lab PhD project in today's @GeneticsSociety's @AJHGNews!!

Interested in #3Dgenome structure, complex trait #heritability, and/or evolutionary constraint?

cell.com/ajhg/fulltext/…

1/n
By synthesizing topologically associating domain (TAD) maps across 37 diverse cell types with 41 genome-wide association studies (GWASs), we investigate the differences in disease association and evolutionary pressure on variation across the 3D genome landscape.

2/n Image
We know that TAD boundary disruption by SV can lead to developmental disease and cancers. (Thus, selection acts against these SVs). 

But what about the relationship between common human variation in TAD boundaries (eg. SNPs) and associations with complex traits?

3/n
Read 9 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!

:(