# FastMAP or meta-analysing fine-mapping statistics

**URL:** <https://isgw-forum.colorado.edu/t/fastmap-or-meta-analysing-fine-mapping-statistics/920>\
**Category:** Day 8\
**Created:** [June 12, 2026, 2:15pm UTC](https://isgw-forum.colorado.edu/t/fastmap-or-meta-analysing-fine-mapping-statistics/920 "2026-06-12T14:15:26Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Kristien\_vdWalt](https://isgw-forum.colorado.edu/user_avatar/isgw-forum.colorado.edu/kristien_vdwalt/32/625_2.png) [@Kristien\_vdWalt](https://isgw-forum.colorado.edu/u/Kristien_vdWalt)\
**Post date:** [June 12, 2026, 2:15pm UTC](https://isgw-forum.colorado.edu/t/fastmap-or-meta-analysing-fine-mapping-statistics/920/1 "2026-06-12T14:15:26Z")

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Hi,

Thank you for the very helpful fine-mapping lectures!! I am interested in applying the FastMAP tool to combine cohort-specific fine-mapping results, but I was unable to find the tool/publication on a quick google search, could I please request a link to this or similar tools? For context, I am working on fine-mapping GWAS loci across several African ancestry populations (Uganda, South Africa, Ethiopia and Kenya). I have access to in-cohort LD for each sample, and am exploring different ways to combine the data. Pretty noisy results from Susie-X unfortunately…considering blended LD matrix but the idea of fine-mapping in each pop and then combining or somehow meta-analysing those results sounds even better? Would appreciate ay thoughts or advice.

Thanks,

Kristien