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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease

Fig. 1

Illustration of rare variant association analysis using Bin-KAT for neuroimaging genomics. First, rare variants were binned/collapsed based on biological knowledge, such as exon, gene, pathway, protein family, evolutionary conversed regions (ECR) or regulatory region, using BioBin. Then, statistical tests including a burden test and a dispersion test (SKAT), were incorporated into BioBin, called Bin-KAT [19]. Bin-KAT provides an option of performing unified rare variant association analysis methods in one tool to identify biologically-informed bins significantly associated with imaging endophenotypes of interest. VCF, variant call format

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