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Chunk #21 — Results — Application to GWAS of body mass index

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Functional mapping and annotation of genetic associations with FUMA.
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have shared biological functions with the 55 previously known candidate genes such as “metabolism of carbohydrate”, “metabolism of lipid and lipoprotein”, “immune system”, and “calcium signaling” (Supplementary Data 5). In addition, FUMA results showed that, although several genomic loci for BMI included multiple prioritized genes, a single gene was prioritized in 22 out of 43 loci which contain at least one prioritized gene (Supplementary Fig. 2), suggesting that these 22 genes have a high probability of being the causal gene in that region. The 22 “highly likely causal genes” include several well-known genes for BMI such as NEGR1, TOMM40, and TMEM18. The strongest GWAS association signal for BMI was on 16q.12.2 where three genes were prioritized; FTO, RBL2, and IRX3 (Fig. 3). These three genes were only prioritized by eQTL mapping as the positional mapping showed no deleterious coding SNPs located in these genes. The original study43 only mentioned FTO, because the associated SNPs were located in this gene, however none of the associated SNPs have a potential direct affect such as coding SNPs on FTO. Two of the genes prioritized by FUMA (RBL2 and IRX3) are physically located outside the genomic locus and are missed when using conventional approaches