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Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts.
De R, Verma SS, Holzinger E, Hall M, Burt A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Lange LA, Lanktree MB, Larson EB, North KE, Reiner AP, Tragante V, Tromp G, Wilson JG, Asselbergs FW, Drenos F, Moore JH, Ritchie MD, Keating B, Gilbert-Diamond D. De R, et al. Hum Genet. 2017 Feb;136(2):165-178. doi: 10.1007/s00439-016-1738-7. Epub 2016 Nov 15. Hum Genet. 2017. PMID: 27848076
Using the genetic data from five NHLBI cohorts of 24,837 individuals, we combined the use of the quantitative multifactor dimensionality reduction (QMDR) algorithm with two SNP-filtering methods to exhaustively search for SNP-SNP interactions
Using the genetic data from five NHLBI cohorts of 24,837 individuals, we combined the use of the quantitative multifactor d
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR).
De R, Verma SS, Drenos F, Holzinger ER, Holmes MV, Hall MA, Crosslin DR, Carrell DS, Hakonarson H, Jarvik G, Larson E, Pacheco JA, Rasmussen-Torvik LJ, Moore CB, Asselbergs FW, Moore JH, Ritchie MD, Keating BJ, Gilbert-Diamond D. De R, et al. BioData Min. 2015 Dec 14;8:41. doi: 10.1186/s13040-015-0074-0. eCollection 2015. BioData Min. 2015. PMID: 26674805 Free PMC article.
BACKGROUND: Despite heritability estimates of 40-70 % for obesity, less than 2 % of its variation is explained by Body Mass Index (BMI) associated loci that have been identified so far. ...Filtered SNPs were specifically analyzed for interact
BACKGROUND: Despite heritability estimates of 40-70 % for obesity, less than 2 % of its variation is explained by Body Mass