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Hypothesis-driven science in large-scale studies: the case of GWAS

Read, James and Sharma, Sumana (2021) Hypothesis-driven science in large-scale studies: the case of GWAS. [Preprint]

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Abstract

It is now well-appreciated by philosophers that contemporary large-scale `-omics' studies in biology stand in non-trivial relationships to more orthodox hypothesis-driven approaches. These relationships have been clarified substantially by Ratti (2015); however, there remains much more to be said regarding how an important field of genomics cited in that work---`genome-wide association studies' (GWAS)---fits into this framework. In the present article, we propose a revision to Ratti's framework more suited to studies such as GWAS. In the process of doing so, we introduce to the philosophical literature novel exploratory experiments in (phospho)proteomics, and demonstrate how these experiments interplay with the above considerations.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Read, Jamesjames.read@philosophy.ox.ac.uk
Sharma, Sumanasumana.sharma@rdm.ox.ac.uk
Additional Information: Forthcoming in Biology & Philosophy.
Keywords: GWAS, systems biology, genomics, proteomics, machine learning
Subjects: Specific Sciences > Biology > Molecular Biology/Genetics
Depositing User: Dr. James Read
Date Deposited: 11 Sep 2021 15:32
Last Modified: 11 Sep 2021 15:32
Item ID: 19526
Subjects: Specific Sciences > Biology > Molecular Biology/Genetics
Date: 3 September 2021
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/19526

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