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- W2899162278 endingPage "1840026" @default.
- W2899162278 startingPage "1840026" @default.
- W2899162278 abstract "Although genome-wide association studies (GWAS) have successfully identified thousands of single nucleotide polymorphisms (SNPs) associated with common diseases, these observations are limited for fully explaining missing heritability. Determining gene-gene interactions (GGI) are one possible avenue for addressing the missing heritability problem. While many statistical approaches have been proposed to detect GGI, most of these focus primarily on SNP-to-SNP interactions. While there are many advantages of gene-based GGI analyses, such as reducing the burden of multiple-testing correction, and increasing power by aggregating multiple causal signals across SNPs in specific genes, only a few methods are available. In this study, we proposed a new statistical approach for gene-based GGI analysis, Hierarchical structural CoMponent analysis of Gene-Gene Interactions (HisCoM-GGI). HisCoM-GGI is based on generalized structured component analysis, and can consider hierarchical structural relationships between genes and SNPs. For a pair of genes, HisCoM-GGI first effectively summarizes all possible pairwise SNP-SNP interactions into a latent variable, from which it then performs GGI analysis. HisCoM-GGI can evaluate both gene-level and SNP-level interactions. Through simulation studies, HisCoM-GGI demonstrated higher statistical power than existing gene-based GGI methods, in analyzing a GWAS of a Korean population for identifying GGI associated with body mass index. Resultantly, HisCoM-GGI successfully identified 14 potential GGI, two of which, (NCOR2 × SPOCK1) and (LINGO2 × ZNF385D) were successfully replicated in independent datasets. We conclude that HisCoM-GGI method may be a valuable tool for genome to identify GGI in missing heritability, allowing us to better understand the biological genetic mechanisms of complex traits. We conclude that HisCoM-GGI method may be a valuable tool for genome to identify GGI in missing heritability, allowing us to better understand biological genetic mechanisms of complex traits. An implementation of HisCoM-GGI can be downloaded from the website ( http://statgen.snu.ac.kr/software/hiscom-ggi )." @default.
- W2899162278 created "2018-11-09" @default.
- W2899162278 creator A5015487584 @default.
- W2899162278 creator A5021812132 @default.
- W2899162278 creator A5028780443 @default.
- W2899162278 creator A5076575654 @default.
- W2899162278 creator A5090214669 @default.
- W2899162278 date "2018-12-01" @default.
- W2899162278 modified "2023-10-16" @default.
- W2899162278 title "HisCoM-GGI: Hierarchical structural component analysis of gene–gene interactions" @default.
- W2899162278 cites W1822695366 @default.
- W2899162278 cites W1899480706 @default.
- W2899162278 cites W1948816136 @default.
- W2899162278 cites W1965599716 @default.
- W2899162278 cites W1967395566 @default.
- W2899162278 cites W1971299565 @default.
- W2899162278 cites W1976634586 @default.
- W2899162278 cites W1980175560 @default.
- W2899162278 cites W1980991473 @default.
- W2899162278 cites W1986092722 @default.
- W2899162278 cites W1993856301 @default.
- W2899162278 cites W1995180256 @default.
- W2899162278 cites W2003283154 @default.
- W2899162278 cites W2007362372 @default.
- W2899162278 cites W2015980849 @default.
- W2899162278 cites W2018749246 @default.
- W2899162278 cites W2030705868 @default.
- W2899162278 cites W2040583055 @default.
- W2899162278 cites W2041170649 @default.
- W2899162278 cites W2041467022 @default.
- W2899162278 cites W2042514552 @default.
- W2899162278 cites W2043601400 @default.
- W2899162278 cites W2054881132 @default.
- W2899162278 cites W2058112220 @default.
- W2899162278 cites W2064083281 @default.
- W2899162278 cites W2072554440 @default.
- W2899162278 cites W2073116379 @default.
- W2899162278 cites W2074682976 @default.
- W2899162278 cites W2079341301 @default.
- W2899162278 cites W2079591220 @default.
- W2899162278 cites W2079715337 @default.
- W2899162278 cites W2079951177 @default.
- W2899162278 cites W2080712240 @default.
- W2899162278 cites W2084974619 @default.
- W2899162278 cites W2085037019 @default.
- W2899162278 cites W2085739707 @default.
- W2899162278 cites W2091901410 @default.
- W2899162278 cites W2094189284 @default.
- W2899162278 cites W2094680524 @default.
- W2899162278 cites W2101181377 @default.
- W2899162278 cites W2103408452 @default.
- W2899162278 cites W2105673666 @default.
- W2899162278 cites W2107511522 @default.
- W2899162278 cites W2107755054 @default.
- W2899162278 cites W2112382531 @default.
- W2899162278 cites W2113082345 @default.
- W2899162278 cites W2113654464 @default.
- W2899162278 cites W2114731689 @default.
- W2899162278 cites W2116868464 @default.
- W2899162278 cites W2118813583 @default.
- W2899162278 cites W2122825543 @default.
- W2899162278 cites W2127767112 @default.
- W2899162278 cites W2129586493 @default.
- W2899162278 cites W2138345444 @default.
- W2899162278 cites W2139400673 @default.
- W2899162278 cites W2140609764 @default.
- W2899162278 cites W2144981536 @default.
- W2899162278 cites W2145709261 @default.
- W2899162278 cites W2148074336 @default.
- W2899162278 cites W2150088795 @default.
- W2899162278 cites W2154572047 @default.
- W2899162278 cites W2155781289 @default.
- W2899162278 cites W2159675211 @default.
- W2899162278 cites W2161633633 @default.
- W2899162278 cites W2162530578 @default.
- W2899162278 cites W2164715716 @default.
- W2899162278 cites W2167263050 @default.
- W2899162278 cites W2167638767 @default.
- W2899162278 cites W2168704508 @default.
- W2899162278 cites W2168755415 @default.
- W2899162278 cites W2169189827 @default.
- W2899162278 cites W2170609318 @default.
- W2899162278 cites W2171800571 @default.
- W2899162278 cites W2232721574 @default.
- W2899162278 cites W2269695812 @default.
- W2899162278 cites W2319197375 @default.
- W2899162278 cites W2460235243 @default.
- W2899162278 cites W2515980744 @default.
- W2899162278 cites W2517459249 @default.
- W2899162278 cites W2526579808 @default.
- W2899162278 cites W2554978929 @default.
- W2899162278 cites W2582720251 @default.
- W2899162278 cites W2600767115 @default.
- W2899162278 cites W2609876203 @default.
- W2899162278 cites W3101248422 @default.
- W2899162278 cites W2001203449 @default.
- W2899162278 doi "https://doi.org/10.1142/s0219720018400267" @default.
- W2899162278 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30567476" @default.