Multiple hypothesis testing in genomics

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Only closed testing procedures are admissible for controlling false discovery proportions (2019, background): “This requirement relates closely to the “subsetting property” of Goeman and Solari (2014) and the monotonicity property of various FWER control procedures (e.g. Bretz et al., 2009; Goeman and Solari, 2010).”
Permutation-based simultaneous confidence bounds for the false discovery proportion (2018, methodology): “The parametric methods among these (i.e. methods which rely on distributional assumptions rather than permutations to derive the null distribution) are conservative for many dependence structures of the p -values (Goeman and Solari, 2014).”
When to adjust alpha during multiple testing: a consideration of disjunction, conjunction, and individual testing (2021, methodology): “In their discussion of multiple testing in genomics, Goeman and Solari (2014) proposed that the individual testing of multiple individual hypotheses does not necessitate a multiple testing correction, because “without multiple testing correction the probability of a type I error in each individual…”
Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing (2016, methodology): “Closed testing with Simes local tests is the basis of the well-known FWER-controlling procedures of Hommel (1988) and Hochberg (1988), procedures that are strictly more powerful than Bonferroni-Holm, but not by a large margin (Goeman and Solari, 2014).”