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Chunk #2 — Introduction

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Integrating functional data to prioritize causal variants in statistical fine-mapping studies.
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account the correlation structure among variants, thus requiring individual level data [12] as well. Recent works [5], [8], [9] have proposed to estimate posterior probabilities and credible sets for variants to be causal under the simplifying assumption of single causal variant per locus. A key advantage of such approaches is that they only require marginal association statistics which are readily available for large-scale data sets.