Depends on the algorithm used. If you follow the traditional p-value thresholding approach, then clumping is necessary to avoid bias by LD as suggested by you. However, if they are using more sophisticated models that already accounts for LD e.g. LDpred, lassosum, PRS-CS etc, then they don't need to perform clumping as these methods already accounted for the whole LD structures.