ABCC2 p.Lys430Arg
Predicted by SNAP2: | A: D (63%), C: N (53%), D: D (80%), E: D (71%), F: D (75%), G: D (66%), H: N (57%), I: D (63%), L: D (66%), M: D (53%), N: D (53%), P: D (80%), Q: N (57%), R: N (93%), S: D (53%), T: D (59%), V: D (71%), W: D (80%), Y: D (71%), |
Predicted by PROVEAN: | A: D, C: D, D: D, E: N, F: D, G: D, H: N, I: D, L: D, M: D, N: N, P: D, Q: N, R: N, S: D, T: D, V: D, W: D, Y: D, |
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[hide] Pharmacogenomics of MRP transporters (ABCC1-5) and... Drug Metab Rev. 2008;40(2):317-54. Gradhand U, Kim RB
Pharmacogenomics of MRP transporters (ABCC1-5) and BCRP (ABCG2).
Drug Metab Rev. 2008;40(2):317-54., [PMID:18464048]
Abstract [show]
Elucidation of the key mechanisms that confer interindividual differences in drug response remains an important focus of drug disposition and clinical pharmacology research. We now know both environmental and host genetic factors contribute to the apparent variability in drug efficacy or in some cases, toxicity. In addition to the widely studied and recognized genes involved in the metabolism of drugs in clinical use today, we now recognize that membrane-bound proteins, broadly referred to as transporters, may be equally as important to the disposition of a substrate drug, and that genetic variation in drug transporter genes may be a major contributor of the apparent intersubject variation in drug response, both in terms of attained plasma and tissue drug level at target sites of action. Of particular relevance to drug disposition are members of the ATP Binding Cassette (ABC) superfamily of efflux transporters. In this review a comprehensive assessment and annotation of recent findings in relation to genetic variation in the Multidrug Resistance Proteins 1-5 (ABCC1-5) and Breast Cancer Resistance Protein (ABCG2) are described, with particular emphasis on the impact of such transporter genetic variation to drug disposition or efficacy.
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101 Several molecular defects in MRP2 have been suggested to result in DJS including those which produce deficient protein maturation (Hashimoto et al., 2002; Keitel et al., 2003), proteasomal degradation (Keitel, 2003), impaired membrane sorting (Hashimoto et al., 2002; Mor-Cohen et al., 2001), loss in transport activity (Mor-Cohen et al., 2001), Figure 2 Predicted membrance topology of MRP2 (ABCC2) based on hydrophobicity analysis. Locations of the non-synonymous polymorphisms are indicated with arrows. See Table 2 for allele frequencies and description of funtional consequences. NH2 COOH NBD NBD in out Membrane Pro19Leu Phe39Tyr Arg100* Arg100Gln Ser281Asn Ser325* Asp333Gly Arg353His Arg412Gly Val417Ile Lys430Arg Thr486Ile Gly676Arg Trp709Arg Asn718Ser Ser789Phe Arg768Trp Asp833Asn Glu893Gln Leu927Arg Lys961Arg Tyr967* Phe981Leu Gln1019His Arg1066* Arg1150His Arg1100Cys Arg1100His Ile1137Phe Ile1173Phe Val1188Glu Arg1174His Arg1181Leu Asn1244Lys Thr1273Ala Pro1291Leu Lys1299Gln Arg1310* Ser1367Cys Gln1382Arg Arg1392del Met1393del Ala1450Thr Thr1476Met Cys1515Tyr MRP2 (ABCC2) NBD NBD Asp833Asn Glu893Gln Leu927Arg Lys961Arg Tyr967* NBD NBDNBD Asp833Asn Glu893Gln Leu927Arg Lys961Arg Tyr967* 325 Table2MRP2(ABCC2)singlenucleotidepolymorphisms.Location,allelefrequencyandfunctionaleffects. Positionin codingsequence Amino acidexchangeLocation Allelefrequency EffectNCBIIDReferenceAfCaJpothers 56C>TPro19LeuExon2--1[1]b -- 116T>APhe39TyrExon2--0[2]--rs927344 298C>TArg100*Exon3--[3]-DJS[3] 299G>AArg100GlnExon3--1[1]b -- 842G>ASer281AsnExon7-0[4]1[1]b -- 974C>GSer325*Exon8---Malayan[5]DJS[5] 998A>GAsp333GlyExon8--0[2]--rs17222674 1058G>AArg353HisExon9--0[2]--rs7080681 1271A>GArg412GlyExon10-[6]0[2]-DJS;Decreaseinmethotrexateelimination[6] 1249G>AVal417IleExon10-22[7]13[9]-lowermRNAand(protein)expressioninpreterm placenta[11] rs2273697 26[8]16[4]noeffectonRNAandproteinininduodenum[12] 19[10]noeffectonproteininliver[8] noeffectonconjugatedbilirubinlevelinserum[13] changesinlocalizationinneuroepithelialtumors[14] possibleassociationwithtenofovir-inducedrenal proximaltubulopathy[15] 1289A>GLys430ArgExon10-4[16]0[2]-- 1457C>TThr486IleExon10-0[4]3[1]b -- 2026G>CGly676Arg--0[2]-DJS[17] 2125T>CTrp709Arg--0[2]-DJS[17] 2153A>GAsn718SerExon17-0[4]0[2]--rs3740072 2302C>TArg768TrpExon18-0[18]1[9]-DJS;deficientmaturationandimpairedsorting[19] 2366C>TSer789PheExon18-0[18]1[9]-lowerexpressionandmembranelocalization[20] noeffectonconjugatedbilirubinlevelinserum[13]/ heterozygous 2647G>AAsp883AsnExon20--1[1]b -- 2677G>CGlu893GlnExon20--0[2]--rs3740071 2780T>GLeu927ArgExon21-1[10]0[2]-- (Continued) Table2(Continued) Positionin codingsequence Aminoacid exchangeLocation Allelefrequency EffectNCBIIDReferenceAfCaJpothers 2882A>GLys961ArgExon21--1[1]b --- 2901C>ATyr967*Exon22--0[2]--rs17222547 2943C>GPhe981LeuExon22-2[21]0[2]-Noinfluenceonpravastatinkinetics[21] 3057G>TGln1019HisExon22--1[1]b -- 3196C>TArg1066*Exon23-[22]0[2]-DJS;truncatedprotein[22][23] 3298C>TArg1100CysExon24-1[10]0[2]-- 3299G>AArg1100HisExon24-1[10]0[2]-- 3449G>AArg1150HisExon25--0[2]Israeli[24]DJS;impairedtransportactivityintransfectedcells althoughnormalexpressionandlocalization[24] 3517A>TIle1173PheExon25--0[2]Israeli[24]DJS;impairedproteinmaturationandproteasomal degradation[25] lowexpression,mislocation,andimpairedtransport activityintransfectedcells[24] 3521G>AArg1174HisExon25-0[4]1[1]b -- 3542G>TArg1181LeuExon25-0[4]0[2]--rs8187692 3563T>AVal1188GluExon25-7[4]1[1]b -noeffectonnelfinaviraccumulationinPBMC[4],rs17222723 4[16]associatedwithanthracycline-induced cardiotoxicity[26] 6[8] 3732C>TAsn1244LysExon26--0[1]b -- 0[2] 3817A>GThr1273AlaExon27--0[2]--rs8187699 3872C>TPro1291LeuExon28--0[2]--rs17216317 3897A>CLys1299GlnExon28--0[2]--rs4148400 3928C>TArg1310*Exon28--0[2]-DJS[17,27] 4100C>GSer1367CysExon29--1[1]b -- 4145A>GGln1382ArgExon29--[28]-DJS;noeffectonmaturationorsorting,impaired substrate-inducedATPhydrolysis[19] 4175-80delArg1392delExon30--0[2]-DJS;deficientMRP2maturationandimpaired sortingtoapicalmembraneintransfectedcells[29] 327 4348G>AAla11450ThrExon31-0[18]1[9]-lowerexperssionandmembracelocalizationin transfectedcells[20] 4461C>TThr1476MetExon31-[30]1[2]-- 4544G>ACys1515TyrExon32-9[4]1[1]b -noeffectonnelfinaviraccumulationinPBMC[4]rs8187710 5[10]associatedwithanthracycline-induced cardiotoxicity[26] 4[16] 6[8] ReferencewithoutfrequencymeansthatSNPwasdetectedbutnofrequencydetermined.
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ABCC2 p.Lys430Arg 18464048:101:712
status: NEW[hide] Pharmacokinetics of mycophenolate mofetil and its ... Pharmacogenomics. 2008 Jul;9(7):869-79. Levesque E, Benoit-Biancamano MO, Delage R, Couture F, Guillemette C
Pharmacokinetics of mycophenolate mofetil and its glucuronide metabolites in healthy volunteers.
Pharmacogenomics. 2008 Jul;9(7):869-79., [PMID:18597651]
Abstract [show]
We previously reported that polymorphisms in the UGT2B7 and UGT1A9 genes are associated with significant alteration in the disposition of mycophenolic acid (MPA) in healthy volunteers. AIM: This study further evaluates the impact of genetic polymorphisms at the UGT1A1, UGT1A7 and ABCC2 loci. METHODS: Genetic analyses of five UGT candidate genes and ABCC2 were completed on 47 healthy subjects who received a single dose of 1.5 g mycophenolate mofetil and completed a 12-h pharmacokinetic profile. RESULTS: Multivariate analyses indicate that the ABCC2 -24T promoter polymorphism is associated with a 25% increase in acyl mycophenolic acid phenolic glucuronide level. Subjects with combined ABCC2 -24T and UGT1A9*3 genotypes present a 169% increased exposure to AcMPAG. Homozygosity for UGT1A7 387G/391A (129Lys/131Lys) is associated with a modest but significant 7% reduction in MPA level. When these additional genetic factors are considered in the model, the effects of previously described UGT1A9 and UGT2B7 variations remain significant. No significant effect is observed for UGT1A1*28, UGT1A7 622T/C (Trp208Arg), UGT1A9 -440TC/-331CT, UGT1A9 -118 TA(9/10) and seven other ABCC2 SNPs. CONCLUSION: We demonstrate that MPA disposition is a multigenic process, and that additional studies are required to ascertain the relationship between UGT, ABCC2 genotypes and MPA pharmacokinetics in transplant recipients.
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No. Sentence Comment
102 Nucleotide position Polymorphism Amino acid Reported impact Present study Ref. Observed frequency PK effect* Promoter -24C>T ↓ mRNA expression 0.24 25% ↑ AcMPAG [28] Exon 10 1219C>T Leu407Leu ‡ 0.01 - 1234A>G Arg412Gly ↓ Activity 0 - [33] 1249G>A Val417Ile ↓ or = expression 0.21 NS [29,30] 1289A>G Lys430Arg Unknown 0 - [32] 1446C>G Thr482Thr ↑ mRNA expression 0.01 - [32] Exons 25/32 3563T>A/ 4544G>A Val1188Glu/ Cys1515Tyr ↑ Expression 0.04 NS [31] Exon 28 3972C>T Ile1324Ile Altered mRNA stability 0.43 NS [34] *Multivariate analysis ‡In-vitro functional impact not evaluated The PK parameters of the ABCC2 codon 482 variant are presented in Figure 1C.
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ABCC2 p.Lys430Arg 18597651:102:334
status: NEW[hide] Association of genetic polymorphism in ABCC2 with ... Pharmacogenet Genomics. 2006 Nov;16(11):801-8. Niemi M, Arnold KA, Backman JT, Pasanen MK, Godtel-Armbrust U, Wojnowski L, Zanger UM, Neuvonen PJ, Eichelbaum M, Kivisto KT, Lang T
Association of genetic polymorphism in ABCC2 with hepatic multidrug resistance-associated protein 2 expression and pravastatin pharmacokinetics.
Pharmacogenet Genomics. 2006 Nov;16(11):801-8., [PMID:17047488]
Abstract [show]
OBJECTIVE: Our aim was to investigate possible effects of sequence variations in ABCC2, encoding the multidrug resistance-associated protein 2 (MRP2), on the pharmacokinetics of the MRP2 substrate pravastatin. METHODS: Deoxyribonucleic acid samples of 41 healthy volunteers, in whom SLCO1B1 single nucleotide polymorphisms (SNPs) and haplotypes had previously been found to be associated with increased plasma pravastatin concentrations, were investigated. Each study participant had ingested a single 40-mg dose of pravastatin followed by blood sampling for pharmacokinetic characterization in standardized conditions. The exons, exon-intron boundaries, promoter region and 3'-untranslated region of the ABCC2 gene of six individuals with the highest and six individuals with the lowest pravastatin area under the plasma concentration-time curve (AUC) values were sequenced. RESULTS: Of the 26 sequence variations found, the synonymous c.1446C>G SNP was observed heterozygously in three (50%) of the six individuals with a low pravastatin AUC and in none (0%) of the six individuals with a high AUC (P=0.06 for allele frequency). The remaining 29 participants were then also genotyped for c.1446C>G, but none of them carried the SNP. In addition, the effect of c.1446C>G on MRP2 mRNA expression was investigated in 93 human liver samples. A multiple linear regression analysis in the 41 participants with pravastatin pharmacokinetic data indicated that the ABCC2 c.1446C>G SNP and the previously identified SLCO1B1 haplotype *17 were independent predictors of the AUC0-12 and Cmax of pravastatin (r=32 and 29%, respectively) (P<0.01). In the participants heterozygous for the ABCC2 c.1446C>G SNP (n=3), who were not carriers of the SLCO1B1*17 haplotype, the AUC0-12 and Cmax of pravastatin were 67 and 68% lower than in those carrying neither the SLCO1B1*17 haplotype nor the ABCC2 c.1446C>G SNP (n=35) (P<0.05). MRP2 mRNA expression was 95% higher in livers with the c.1446CG genotype (n=7) than in those with the c.1446CC genotype (n=86) (P<0.05). CONCLUSIONS: These results support the idea that the ABCC2 c.1446C>G SNP is associated with reduced systemic exposure to pravastatin as a consequence of increased MRP2 expression. The underlying mechanism may involve either a modulating effect of the SNP on mRNA stability or linkage to other polymorphism(s) acting at the transcriptional level.
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No. Sentence Comment
127 In the present study, we identified one new nonsynonymous SNP (c.1289A> G, p.Lys430Arg) in ABCC2, found in one participant only.
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ABCC2 p.Lys430Arg 17047488:127:77
status: NEW