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Iain Mathieson Profile
Iain Mathieson

@mathiesoniain

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Population genetics, ancient DNA, statistics.

Philadelphia, PA
Joined April 2012
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@mathiesoniain
Iain Mathieson
1 year
RT @ShaiCarmi: The Silicon Valley people interviewed seem almost apathetic to the realities of life of anyone outside their bubble. Their….
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@mathiesoniain
Iain Mathieson
1 year
". and what did that produce? The cuckoo clock.”.
@BallouxFrancois
Prof Francois Balloux
1 year
Many seem to believe that governments without a clear political majority lead to instability, chaos and economic doom . Switzerland .
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@mathiesoniain
Iain Mathieson
1 year
The market can stay irrational longer than you can stay solvent.
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@mathiesoniain
Iain Mathieson
1 year
Two incredible papers. Forget about ML. Coalescent HMMs are and always will be king.
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@mathiesoniain
Iain Mathieson
1 year
Very annoying that people are taking seriously the genetically inferred bottleneck that is almost certainly wrong.
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@mathiesoniain
Iain Mathieson
1 year
RT @sarakmathieson: Our paper "Interpreting GANs to infer natural selection from genetic data" is out in Genetics! Thank you @petrelharp as….
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@mathiesoniain
Iain Mathieson
1 year
Completely agree - I always find claims in papers about the number of "novel" variants to be silly. Every position in the genome is variable somewhere. Patterns of LD *are* population specific but of more limited interest.
@Graham_Coop
Graham Coop
1 year
The use of the phrase “ancestry-specific variant” is increasing, particularly to describe rare Single-nucleotide variants (SNVs). But these alleles are not ancestry-specific. They have not yet been found elsewhere, but they will be. 1/n.
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@mathiesoniain
Iain Mathieson
1 year
Couldn't agree more! Nothing wrong with PCA.
@jkpritch
Jonathan Pritchard
1 year
It's a pity that All of Us used UMAP to visualize ancestry variation in their new marker paper, out today in Nature. The UMAP algorithm, by design, exaggerates the distinctiveness of the most frequent ancestries, a message that can be misinterpreted by the public.
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@mathiesoniain
Iain Mathieson
1 year
Uh. missing genotypes "might appear" as 0 instead of .
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@ksamuk
Kieran Samuk
1 year
PSA, since I've now seen problems arising from this: As of Sept 2023, GATK no longer makes missing genotypes explicit in VCFs (i.e. "./." as in the VCF spec). Missing genotypes are instead coded as "0/0" with a DP=0 format field. See attached for examples.
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@mathiesoniain
Iain Mathieson
1 year
RT @pontus_skoglund: "Disease Evolution in the Human Past" - Join us March 21st 2024 @TheCrick for a half-day symposium in the Medicine at….
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@mathiesoniain
Iain Mathieson
2 years
Perhaps not only psychological traits!.
@WiringTheBrain
Kevin Mitchell
2 years
Developmental noise is an overlooked contributor to innate variation in psychological traits
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@mathiesoniain
Iain Mathieson
2 years
RT @yun_s_song: After lengthy anticipation, we finally got to compare PrimateAI-3D with our Cross-Protein Transfer (CPT) model https://t.co….
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@mathiesoniain
Iain Mathieson
2 years
Trying to access some data from EGA, but the access policy is blank and the link to the data access committee brings up a page saying "Oops. the server made a poo poo".
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@mathiesoniain
Iain Mathieson
2 years
Also does not have to be a single factor. Since most things will decay in the same way, the explanation can be a combination of many environmental (and, yes, maybe genetic) factors, but I don't think it's really possible to distinguish them.
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@mathiesoniain
Iain Mathieson
2 years
Anything that changes randomly every generation would decay exponentially. Imagine with probability p you adopt one of your parents' religions and w.p. 1-p the predominant religion. Then correlation of religion decays as genetic relatedness (+same assortative mating fudge factor).
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@mathiesoniain
Iain Mathieson
2 years
It does seem to show that that 1) A single explanatory factor must decay with relatedness in a certain way and 2) if the explanation is genetic then there must be a very high level of assortative mating or population structure.
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@mathiesoniain
Iain Mathieson
2 years
This is a good explanation. In my opinion this is the major limitation of the paper.
@vsbuffalo
Vince Buffalo
2 years
On the Clark paper: correlation functions often decay over various distances (genetic, environmental, spatial, etc). Observing a correlation that varies over genetic relatedness is not evidence that the cause is genetic, since many other processes create correlations that decay.
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@mathiesoniain
Iain Mathieson
2 years
"0.07-0.01% of variance"
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