OBJECTIVE: To investigate the association between ten single nucleotide polymorphisms (SNPs) in the @entity5601 ( @entity5601 , b, y) with @entity3516 ( @entity1675 / @entity755 ) ratio and the additional role of a gene-gene interactions among the 10 SNPs. METHODS: @entity1 were recruited under the framework of the Prevention of @entity209 and @entity209 in Jiangsu Province (PMMJS) cohort population survey in the urban community of Jiangsu province of China.A total of 630 subjects were randomly selected and no individual was related.Ten SNPs ( @entity28710 , @entity28711 , @entity28712 , @entity28713 , @entity28714 , @entity28715 , @entity28716 , @entity28717 , @entity28718 and @entity28719 ) were selected from the HapMap database,which covered @entity5601 , @entity11589 and @entity6864 . A linear regression model was used to analyze the relations between ten SNPs in the PPARs and @entity1675 / @entity755 ratio level. Mean difference and 95% CI were calculated. Interactions were explored by using the method of Generalized Multifactor Dimensionality Reduction (GMDR). RESULTS: After adjusting for age, gender, smoking status, @entity285 consumption, occupational physical activity, high-fat diet as well as low-fiber diet, both @entity28712 and @entity28718 were significantly associated with a decreased level of @entity1675 / @entity755 ratio, mean difference (95% CI) values were -1.19 (-1.88 to -0.50) and -0.77 (-1.40 to -0.14). Whereas @entity28711 was significantly associated with an increased level of @entity1675 / @entity755 ratio, Mean difference (95% CI) values was 0.80 (0.08 to 1.52). GMDR analysis showed a significant gene-gene interaction among @entity28711 , @entity28712 of @entity5601 , @entity28714 , @entity28713 of @entity11589 and @entity28715 , @entity28718 , @entity28717 , @entity28716 of @entity6864 for eight-dimension models (P = 0.01), in which prediction accuracy was 0.624 and cross-validation consistency was 7/10. CONCLUSIONS: The @entity28712 of @entity5601 and @entity28718 of @entity6864 are significantly associated with a decreased level of @entity1675 / @entity755 ratio while @entity28711 of @entity5601 is associated with an increased level of @entity1675 / @entity755 ratio. There is a gene-gene interaction between multiple SNPs.

[Association between peroxisome proliferator-activated receptor and gene-gene interactions with the XXXX ratio].

@entity1 :: ('9606', 'Species') :: ['Participants'] @entity28715 :: ('rs10865710', 'SNP') :: ['rs10865710'] @entity28714 :: ('rs9794', 'SNP') :: ['rs9794'] @entity11589 :: ('5467', 'Gene') :: ['PPARb'] @entity28718 :: ('rs3856806', 'SNP') :: ['rs3856806'] @entity755 :: ('338', 'Gene') :: ['ApoB100'] @entity285 :: ('D000431', 'Chemical') :: ['alcohol'] @entity28712 :: ('rs1800206', 'SNP') :: ['rs1800206'] @entity28711 :: ('rs4253778', 'SNP') :: ['rs4253778'] @entity1675 :: ('335', 'Gene') :: ['ApoA I'] @entity28710 :: ('rs135539', 'SNP') :: ['rs135539'] @entity5601 :: ('5465', 'Gene') :: ['PPARa', 'peroxisome proliferator-activated receptors'] @entity209 :: ('MESH:D008659', 'Disease') :: ['Multiple Metabolic Disorders', 'Metabolic Syndrome'] @entity28716 :: ('rs1805192', 'SNP') :: ['rs1805192'] @entity28713 :: ('rs2016520', 'SNP') :: ['rs2016520'] @entity28719 :: ('rs4684847', 'SNP') :: ['rs4684847'] @entity28717 :: ('rs709158', 'SNP') :: ['rs709158'] @entity6864 :: ('5468', 'Gene') :: ['PPARy'] @entity3516 :: ('335;338', 'Gene') :: ['apolipoprotein A I/apolipoprotein B100']
@entity3516 :: (335;338,Gene) :: ['apolipoprotein A I/apolipoprotein B100']
