Dalton Conley

@daltonconley

Honky bio-sociologist desperately seeking (statistical) identification

New York, NY & Princeton, NJ
Vrijeme pridruživanja: ožujak 2009.

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  1. 2. pro 2019.

    A day after the 50th anniversary of the first Vietnam Era Draft Lottery, Tim Johnson's (), Chris Dawes' and my article on its role in social science came out in the Atlantic online:

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  2. 1. pro 2019.

    Worth remembering that today is the 50th anniversary of what might be considered the largest social science experiment in history: the Vietnam draft lotteries

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  3. proslijedio/la je Tweet
    8. svi 2019.

    Clearly, much more needs to be done to understand what is going on, and in particular the relative importance of the various factors being detected in standard GWAS, for a variety of traits.

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    8. svi 2019.

    We don’t view these results as answers to the questions of what does matter, but rather as adding to the conversation about polygenic scores.

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  5. proslijedio/la je Tweet
    8. svi 2019.

    On that basis, we argue that the question of where polygenic scores apply is broader than ancestry, and inextricably linked to questions about the importance of GxE on direct and indirect effects.

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    8. svi 2019.

    While these factors certainly matter, our results show they are not the only factors, and maybe not even the biggest factors, that influence the prediction accuracy of polygenic scores.

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    8. svi 2019.

    To date, most of the discussion about polygenic scores has focused on differences (allele frequencies, LD) driven by population structure and implicitly reduced the question of portability to a population genetics problem.

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    7. svi 2019.

    On the topic of PGS applications and the potential inequities that may arise, let me add a quick plug to that promotes extensions to the US Genetic Information Non-Discrimination Act

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    7. svi 2019.

    More generally, these considerations are all the more important as polygenic scores may soon be deployed in healthcare, policymaking and other contexts.

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    7. svi 2019.

    Our results imply that, as ancestry groups vary by many cultural and environmental factors, there is no reason to assume that the poor portability of polygenic scores among groups stems only or even predominantly from LD and allele frequency divergence.

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  11. proslijedio/la je Tweet
    7. svi 2019.

    These results highlight the complexities of interpreting polygenic scores and under-appreciated obstacles to their broad use.

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    7. svi 2019.

    For many traits, notably behavioral traits, the prediction accuracy of sib-GWAS is far lower. This suggests a large role of population structure and/or indirect effects to polygenic prediction of these traits.

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  13. proslijedio/la je Tweet
    7. svi 2019.

    But do these factors contribute substantially to GWAS signals in practice? To answer this question, we compare polygenic scores based on standard GWAS to sib-GWAS (which does not pick up these signals).

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  14. proslijedio/la je Tweet
    7. svi 2019.

    We also point out that what makes PGS predictive can also be their Achilles heel. GWAS estimates include direct but also indirect genetic effects, assortative mating and env. confounding. These factors are often culturally and env. mediated; so may not port across groups.

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  15. proslijedio/la je Tweet
    7. svi 2019.

    In work by , we checked whether polygenic scores can be assumed to be portable *within* an ancestry group. They cannot. [[thread]]

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  16. proslijedio/la je Tweet
    7. pro 2018.

    Here’s a remarkable fact: Dollar stores are now feeding more Americans than Whole Foods is – even though most dollar stores have no fresh food, only a limited selection of packaged items. 1/

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  17. 20. tra 2017.

    Polygenic scores continue to get more predictive. Congrats to Pat Turley on a nice piece of work!

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  18. 15. ožu 2017.
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  19. 7. stu 2016.

    Who's the real election loser? Erving Goffman and his concept of "backstage":

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  20. 4. sij 2016.
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