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Article

Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses.

Bioinformatics (Oxford, England) - 15 Jun 2015

Park Danny S, Brown Brielin, Eng Celeste, Huntsman Scott, Hu Donglei, Torgerson Dara G, Burchard Esteban G, Zaitlen Noah

Abstract excerpt

MOTIVATION: Approaches to identifying new risk loci, training risk prediction models, imputing untyped variants and fine-mapping causal variants from summary statistics of genome-wide association studies are playing an increasingly important role in the human genetics community. Current summary statistics-based methods rely on global 'best guess' reference panels to model the genetic correlation structure of the...

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Identifiers

PMID: 26072481
DOI: 10.1093/bioinformatics/btv230
PMCID: PMC4553832

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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