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Investigating the shared genetic architecture between attention-deficit/hyperactivity disorder and risk taking behavior: A large-scale genomewide cross-trait analysis.
Chen Y, Liu P, Yi S, Fan C, Zhao W, Liu J. Chen Y, et al. J Affect Disord. 2024 Jul 1;356:22-31. doi: 10.1016/j.jad.2024.03.107. Epub 2024 Mar 31. J Affect Disord. 2024. PMID: 38565336
The same situation can also be observed near the FOXP2 gene on chromosome 7 (rs8180817, pmeta = 5.72E-21). We found CCDC171 gene and other genes played a significant role in ADHD and risk behavior in mRNA level. ...
The same situation can also be observed near the FOXP2 gene on chromosome 7 (rs8180817, pmeta = 5.72E-21). We found CCDC171 gene and …
Identification and functional validation of genetic variants in potential miRNA target sites of established BMI genes.
Kumar P, Traurig M, Baier LJ. Kumar P, et al. Int J Obes (Lond). 2020 May;44(5):1191-1195. doi: 10.1038/s41366-019-0488-8. Epub 2019 Nov 19. Int J Obes (Lond). 2020. PMID: 31745258
These ten variants mapped to nine genes, FAIM2, CCDC171, ADPGK, ZNF654, MLXIP, NT5C2, SHISA4, SLC25A22, and CTNNB1. RESULTS: In vitro functional analyses showed that five of these target site variants, rs7132908 (FAIM2), rs4963153 (SLC25A22), rs9460 (ADPGK), rs11191548 (NT …
These ten variants mapped to nine genes, FAIM2, CCDC171, ADPGK, ZNF654, MLXIP, NT5C2, SHISA4, SLC25A22, and CTNNB1. RESULTS: In vitro …
Gene-diet interaction effects on BMI levels in the Singapore Chinese population.
Chang X, Dorajoo R, Sun Y, Han Y, Wang L, Khor CC, Sim X, Tai ES, Liu J, Yuan JM, Koh WP, van Dam RM, Friedlander Y, Heng CK. Chang X, et al. Nutr J. 2018 Feb 24;17(1):31. doi: 10.1186/s12937-018-0340-3. Nutr J. 2018. PMID: 29477148 Free PMC article.
When interaction analyses were repeated using individual SNPs, a significant association between cholesterol intake and rs4740619 (CCDC171) was identified (beta = 0.077, adjP(interaction) = 0.043). CONCLUSIONS: The CCDC171 gene locus may interact with cholesterol in …
When interaction analyses were repeated using individual SNPs, a significant association between cholesterol intake and rs4740619 (CCDC17 …
Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease.
Romanova Y, Laikov A, Markelova M, Khadiullina R, Makseev A, Hasanova M, Rizvanov A, Khaiboullina S, Salafutdinov I. Romanova Y, et al. Biomolecules. 2020 Feb 7;10(2):257. doi: 10.3390/biom10020257. Biomolecules. 2020. PMID: 32046176 Free PMC article.
The multiple reaction monitoring (MRM) quantification method revealed that levels of HSP90B2, AAT, IGSF22, CUL5, PKCE, APOA4, APOE, APOA1, CCDC171, CCDC43, VIL1, Antigen KI-67, NKRF, APPBP2, CAPRI and most complement system proteins were increased in serum of CKD patients …
The multiple reaction monitoring (MRM) quantification method revealed that levels of HSP90B2, AAT, IGSF22, CUL5, PKCE, APOA4, APOE, APOA1, …
Germline polymorphisms in an enhancer of PSIP1 are associated with progression-free survival in epithelial ovarian cancer.
French JD, Johnatty SE, Lu Y, Beesley J, Gao B, Kalimutho M, Henderson MJ, Russell AJ, Kar S, Chen X, Hillman KM, Kaufmann S, Sivakumaran H, O'Reilly M, Wang C, Korbie DJ; Australian Ovarian Cancer Study Group; Australian Ovarian Cancer Study; Lambrechts D, Despierre E, Van Nieuwenhuysen E, Lambrechts S, Vergote I, Karlan B, Lester J, Orsulic S, Walsh C, Fasching PA, Beckmann MW, Ekici AB, Hein A, Matsuo K, Hosono S, Pisterer J, Hillemanns P, Nakanishi T, Yatabe Y, Goodman MT, Lurie G, Matsuno RK, Thompson PJ, Pejovic T, Bean Y, Heitz F, Harter P, du Bois A, Schwaab I, Hogdall E, Kjaer SK, Jensen A, Hogdall C, Lundvall L, Engelholm SA, Brown B, Flanagan JM, Metcalf MD, Siddiqui N, Sellers T, Fridley B, Cunningham J, Schildkraut JM, Iversen E, Weber RP, Brennan D, Berchuck A, Pharoah P, Harnett P, Norris MD, Haber M, Goode EL, Lee JS, Khanna KK, Meyer KB, Chenevix-Trench G, deFazio A, Edwards SL, MacGregor S; Ovarian Cancer Association Consortium. French JD, et al. Oncotarget. 2016 Feb 9;7(6):6353-68. doi: 10.18632/oncotarget.7047. Oncotarget. 2016. PMID: 26840454 Free PMC article.
Functional analyses show that both SNPs lie in a putative regulatory element (PRE) that physically interacts with the promoters of PSIP1, CCDC171 and an alternative promoter of TTC39B. The C allele of rs7874043 is associated with poor PFS and showed increased binding of th …
Functional analyses show that both SNPs lie in a putative regulatory element (PRE) that physically interacts with the promoters of PSIP1, …