Fine-mapping resources:
    Published fine-mapping results by large studies:
        FinnGen: https://finngen.gitbook.io/documentation/methods/finemapping
        UK Biobank: https://www.finucanelab.org/data
        PGC: https://www.nature.com/articles/s41586-022-04434-5#Sec33
    LD matrices:
        UK Biobank (PolyFun published LD): https://registry.opendata.aws/ukbb-ld/
        Pan UK Biobank (Hail format): https://pan.ukbb.broadinstitute.org/docs/hail-format/index.html
    Fine-mapping pipelines:
        FinnGen pipeline: https://github.com/FINNGEN/finemapping-pipeline
        UK Biobank pipeline: https://github.com/mkanai/finemapping-pipeline

Use caution when applying fine-mapping:
    When using reference LD, follow Weissbrod et al. 2020 NG guidelines
    Meta-analysis fine-mapping is tricky, see Kanai et al. 2022 Cell Genomics.
    Use covariate-adjusted LD when the cohort has more complex population structure, e.g. admixture. See Pan-UKBB LD documents: https://pan.ukbb.broadinstitute.org/blog/2020/10/29/ld-release/index.html
    Keep in mind that model misspecifications and missing causal variants exist in real data applications. Use caution when interpreting fine-mapping results.
    Run different methods if you can.



Colocalization resources:
    Published fine-mapping results by large studies:
        GTEx portal: https://gtexportal.org/home
        GTEx fine-mapping results: https://www.finucanelab.org/data
        TWAS hub: twas_hub.org
    Visualization tool:
        Locuscomparer: https://github.com/boxiangliu/locuscomparer