RFPHEN2GEN: A MACHINE LEARNING BASED ASSOCIATION STUDY OF BRAIN IMAGING PHENOTYPES TO GENOTYPES

@article{Malik2022RFPHEN2GENAM,
  title={RFPHEN2GEN: A MACHINE LEARNING BASED ASSOCIATION STUDY OF BRAIN IMAGING PHENOTYPES TO GENOTYPES},
  author={Muhammad Ammar Malik and Alexander Selvikv{\aa}g Lundervold and Tom Michoel},
  journal={European Neuropsychopharmacology},
  year={2022},
  volume={63},
  pages={e141-e142}
}
Imaging genetic studies aim to find associations between genetic variants and imaging quantitative traits. Traditional genome-wide association studies (GWAS) are based on univariate statistical tests, but when multiple traits are analyzed together they suffer from a multiple-testing problem and from not taking into account correlations among the traits. An alternative approach to multi-trait GWAS is to reverse the functional relation between genotypes and traits, by fitting a multivariate… 

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