Annotated PGx Gene Information for ABCB1

Citation: Very Important Pharmacogene summary: ABCB1 (MDR1, P-glycoprotein). Hodges LM, Markova SM, Chinn LW, Gow JM, Kroetz DL, Klein TE, Altman RB. Pharmacogenet Genomics. 2010 Mar 5. Epub ahead of print. [PMID: 20216335]

PharmGKB VIP Submitted by: Chinn LW, Gow JM (PMT)
PharmGKB VIP Updated by: Hodges LM (PharmGKB), Markova SM, Chinn LW, Gow JM, Kroetz DL (PMT)
PharmGKB Submission date: August 11, 2006
PharmGKB VIP Reviewed: February 5, 2010

Gene HGNC Name: ABCB1
Gene Common Name: MDR1
Introductory Information: ABCB1 Description
ABCB1 (MDR1) is one of many ubiquitous adenosine triphosphate (ATP)-binding cassette (ABC) genes present in all kingdoms of life that is responsible for cellular homeostasis [PMID: 15052411, 9099718, 7765321]. ABC genes encode transporter and channel proteins possessing multiple membrane-spanning domains that form a pore, and intracellular nucleotide-binding domains for ATP-dependent translocation of substrates or ions across the cell membrane [PMID: 15052411, 12045106, 10331089]. Although bacterial ABC proteins function as both importers and exporters [PMID: 14630327], all eukaryotic ABC proteins are efflux pumps [PMID: 15052411, 11907151]. ABCB1 is one of forty-nine putative members in the superfamily of human ABC transporters [PMID: 1869973, 18154452] within sub-family B (MDR/TAP), which is one of seven phylogenetically distinct sub-families [PMID: 12045106] with overlapping substrate specificity [PMID: 18668431] (see Wageningen University website: www.nutrigene.4t.com/humanabc.htm).

Molecular and protein structure
ABCB1 was first cloned by Riordan and colleagues in 1985 [PMID: 2863759]. The gene lies less than 25 kilobases (kb) from ABCB4 on chromosome 7q21.12 (UCSC Genome Browser, March 2006 Assembly (hg18)). Analysis of human cell lines, liver tissue, and lymphocytes consistently show ABCB1 to contain 29 exons in a genomic region spanning 209.6 kb [PMID: 16146331] (Entrez GeneID: 5243, GenBank accession NT_007933). The two most 5' exons are untranslated. Two primary transcriptional start regions exist: a proximal promoter in exon 1 and intron 1 for constitutive expression, and a cryptic distal promoter that is active in drug-selected cell lines and cancer patient samples for overexpression of the protein product. The ABCB1 promoter region contains a few low-frequency polymorphisms and is relatively invariant compared to other genes in the genome [PMID: 16608921].

The messenger RNA (mRNA) is 4872 base pairs in length, including the 5' untranslated region (UTR) (RefSeq accession NM_000927.3), which gives rise to a protein that is 1280 amino acids in length, named P-glycoprotein (P-gp) [PMID: 16146331]. The secondary structure of P-gp reveals two homologous halves to the protein, each containing six transmembrane domains and a nucleotide-binding domain (see image per Fung et al. [PMID: 19285158] as adapted from Ambudkar et al. [PMID: 10331089]). The existence and number of putative splice variants is undetermined [PMID: 16146331]. Alternative transcripts for ABCB1 have been predicted from sequence alignments with human complementary DNA (cDNA) (see ABCB1 in AceView), protein sequences, and expressed sequence tags [PMID: 16708052]. P-gp is post-translationally modified by phosphorylation and N-glycosylation. Differential phosphorylation of P-gp by kinases have been shown to influence P-gp activity [PMID: 10790147, 16309179].

A number of mechanistic observations have been made from low-resolution crystal structures for P-gp in bacteria [PMID: 12777401] and Chinese hamster ovary cells [PMID: 9099718], and from a high-resolution structure of the mouse homolog with 87% sequence identity to humans (see Protein Data Bank accession 3G60, 3G5U, and 3G61) [PMID: 19325113]. The twelve transmembrane helices form a toroidal protein with an aqueous pore (see image from Higgins et al. [PMID: 9099718]). Two nucleotide-binding domains for the protein lie in the cytoplasm. The pore is lined with hydrophobic and aromatic amino acids at the extracellular-facing half of the pore, while the cytosolic-facing portion of the pore contains polar, charged residues [PMID: 19325113]. Structural analysis reveals two openings in the protein that open into the lipid bilayer and permit extraction of substrates directly from the membrane upon the passive diffusion of substrates into the cell (see image from Aller et al. [PMID: 19325113]) [PMID: 9099718, 12777401]. Several highly conserved residues within the pore are able to recognize a diverse range of substrates. The protein exhibits high conformational flexibility to allow for structural rearrangements in binding and effluxing substrates [PMID: 19325113]. Substrate-bound images reveal the capacity to distinguish stereoisomers and simultaneously bind multiple substrates at overlapping binding sites. The ability to bind substrates in close proximity to one another provides a mechanistic rationale for observed functional interactions between co-administered substrates (e.g. allosteric, competitive and non-competitive inhibition, and cooperativity) [PMID: 9300798, 18668431, 19325102].

Tissue distribution and function
P-gp is expressed in a polarized manner in the plasma membrane of cells in barrier and elimination organs, where it has protective and excretory function [PMID: 11913728]. It plays an important role in the first-pass elimination of orally administered drugs to limit their bioavailability by effluxing them at the lumen-facing epithelia of the small intestine and colon, and the bile-facing canaliculi of the liver. It eliminates substrates from the systemic circulation at the urine-facing side of the brush border membrane of proximal tubules in the kidney, and again via biliary excretion. It restricts permeability of drugs into 'sanctuary' organs from the apical or serosal side of blood-tissue barriers (e.g. blood-brain, blood-cerebral spinal fluid, blood-placenta, blood-testis barriers) [PMID: 15276711]. P-gp expression in the adrenal cortex is thought to play a role in hormone transport and homeostasis, and glucorcorticoid resistance [PMID: 12844331, 10331089]. In lymphocytes and other immunological and blood components P-gp putatively plays a role in viral resistance and in trafficking cytokines and enveloped viruses [PMID: 10331089, 8765502, 10698966]. P-gp is also thought to be important for steroid partitioning and lipid homeostasis in the periphery and central nervous system [PMID: 12379510, 19285054, 12844331]. Intracellular P-gp has been detected in the endoplasmic reticulum, vesicles, and the nuclear envelope, and has been associated with cell trafficking machinery with unknown function [PMID: 18560012]. Relevant to the clinical challenge of multi-drug resistance, P-gp is overexpressed in numerous tissues transformed by cancer.

Physiological role
P-gp was discovered in 1970 by Biedler and colleagues who observed the phenomenon of multi-drug resistance (MDR) conferred by a cell surface protein in mammalian cell lines. This membrane protein conferred up to a 2500-fold increase in drug resistance to actinomycin D and cross-resistance to a single exposure of mithramycin, vinblastine, vincristine, puromycin, daunomycin, demecolcine, and mitomycin C [PMID: 5533992]. The 170 kilo Dalton (kD) phospho-glycoprotein, or 'permeability' glycoprotein, was identified as the cause for reduced cellular drug exposure [PMID: 990323] by its active extrusion of drugs from the cell [PMID: 1203765, 2900833]. The physiological impact of this multi-drug efflux pump was appreciated in 1994 by Schinkel and colleagues who observed a 100-fold increase in the brain penetration of antiparasitic medication, ivermectin, in genetically engineered mice lacking abcb1 [PMID: 7910522]. Animals naturally deficient for abcb1 were also found to exhibit neurological and fetal drug toxicity due to a breach in the blood-brain and blood-placenta barriers where P-gp is normally active [PMID: 9299600, 19171022]. A 4-base pair deletion (ABCB1-1 Delta) was subsequently identified as the cause of the non-functioning allele in dogs [PMID: 19171022], which led to proposed dosing changes in veterinary medicine [PMID: 9934933, 19411645]. In humans, spontaneous deletion of ABCB1 has not been described, but a nonfunctional variant was found in two heterozygous individuals in which a single nucleotide polymorphism (SNP), T3587G, results in an isoleucine to serine change at residue 1196 in the second ATP-binding domain of P-gp [PMID: 16648557]. However, in one heterozygous subject tested, the SNP was not shown to affect the clearance of the P-gp substrate, SN-38, after parenteral irinotecan administration [PMID: 16648557, 14646693]. The frequency of the 3587 G allele was 1:300 in a Japanese population, thus homozygotes with two copies of the non-functioning 1196Ser allele would be very rare (1:100,000).

Numerous common coding variants in ABCB1 have been studied for their potential influence on P-gp expression, function, and disease risk. Genetic associations with molecular or clinical phenotypes have largely been inconsistent [PMID: 12406646, 14749689, 16969364]. As a result, no adjustments in drug dosing have been recommended for individuals carrying sequence variants of ABCB1 in humans, and replication studies are needed to understand the influence of ABCB1 genetics on disease susceptibility. Current clinical considerations for P-gp are therefore related to its important role in (1) multi-drug resistance, and (2) drug-drug interactions, derived primarily from its broad substrate specificity and variable intrinsic and drug-induced expression [PMID: 17933685].

Compounds that interact with P-gp
P-gp recognizes and effluxes a multitude of structurally and biochemically unrelated substrates (cyclic, linear, basic, uncharged, zwitterionic, negatively charged, hydrophobic, aromatic, non-aromatic, amphipathic), from 250 to 4,000 molecular weight [ISBN: 9780123695208, PMID: 18560012, 15072439], sufficiently indeterminate to predict in drug design [PMID: 11907151]. Substrates include xenobiotics, endogenous compounds (e.g. peptides (including beta-amyloids), steroid hormones, lipids, phospholipids, cholesterol, and cytokines) [PMID: 9300798], pharmaceuticals [PMID: 16454744], neutraceuticals (e.g. St. John's wort), dietary compounds (e.g. grapefruit juice, green tea) [ISBN: 9781588293138, PMID: 15072439] , and other compounds, which may also modulate P-gp activity [PMID: 19545213] (see Drugs/Substrates). P-gp compounds can act as substrates, inhibitors, inducers, and repressors; and citations refer to P-gp compounds as being in more than one category, depending upon the circumstance [PMID: 18668431]. Modulation of ABCB1 gene expression and/or P-gp activity by various mechanisms consequently influences P-gp-mediated drug disposition.

Repressors of P-gp, including certain antineoplastic agents that act at nuclear receptors [PMID: 17048260], or endotoxin [PMID: 14709616], cobalamin (1, 2) [PMID: 17982279], and atorvastatin [PMID: 18156365, 19543298], potentiate the action of substrates; while rifampin (rifampicin) [PMID: 10411543] and cell stress signals induce P-gp-mediated drug resistance [PMID: 17982279, 18156365, 18560012]. Another mechanism for P-gp-related pharmacoresistance to cytotoxic agents is hypothesized to relate to the cell stress signals they induce [PMID: 18699730, 19638996]. Upregulation of ABCB1 gene expression can occur at gene promoter sequences via transactivation [PMID: 15072439, 18668431, 19460946], for example, by the pregnane X receptor (NR1I2, PXR) gene in response to substrates that may have overlapping specificity for P-gp [PMID: 18560012]; or induction can occur independent of nuclear receptors [PMID: 15258100]. Alternatively, epigenetic inactivation of P-gp can occur by DNA methylation at specific nucleotide sequences within the promoter sequence, called CpG islands, as has been observed in some cancer tissues [PMID: 15326379]; or downregulation of P-gp can also occur by mechanisms other than by DNA methylation, for example, in response to cobalamin (1, 2), a vitamin B-12 derivative [PMID: 17982279].

Drug interactions
Many studies have characterized the interactions between P-gp compounds, since concomitant administration can substantially alter the pharmacokinetics of the compounds involved [PMID: 17933685]. Research has focused on both the deleterious and beneficial effects of interactions between P-gp compounds: (1) interactions that potentially affect drug safety and efficacy [PMID: 9300798], and (2) interactions exploited to optimize drug delivery (see Multi-drug resistance).

Drug safety and efficacy are major health concerns, particulary for drugs with a narrow therapeutic index and/or large clinical effect [PMID: 17168768]. A number of drug interactions of clinical relevance are cited as warnings in the drug labels. For example, the drug label for the contraceptive, Trinessa (1, 2) (Watson Pharma, Inc.), warns against potential drug inefficacy when coadministered with compounds that induce P-gp (e.g. rifampin, St. John's wort, protease inhibitors, carbamazepine, and barbiturates). The drug label for the antidiarrheal, loperamide (Imodium, McNeil Consumer Healthcare), warns against neurotoxic side effects when coadministered with P-gp inhibitors (e.g. quinidine, ritonavir) since this gut-targeted optiate relies upon P-gp to prohibit intestinal absorption and entry into the central nervous system [PMID: 19372478].

Interactions between compounds are substrate-specific, concentration-dependent [PMID: 9300798], and tissue-specific [PMID: 16537797]. For example, unlike the drug-potentiating interaction between quinine [PMID: 11014404, 14583678] or ritonavir [PMID: 16304151] on loperamide, the potent P-gp inhibitor, tariquidar, does not produce the same analgesic effects, despite its efficient inhibition of P-gp in lymphocytes. This is presumably due to tissue-specific factors [PMID: 16537797]. Concentration is another important determinant of drug interactions. For example, at the therapeutic concentration for the beta blocker and P-gp substrate, propranolol (Innopran Xl, Reliant Pharmaceuticals, Inc.), propranolol disposition is not affected by modulation of P-gp by other compounds. Other influences include key pharmacokinetic genes that affect the disposition of substrates for P-gp. For example, P-gp and cytochrome P450 3A4 metabolizing enzyme (CYP3A4) overlap in tissue distribution and specificity for a substantial number of substrates, inducers, and inhibitors [PMID: 7619215, 15276711]. Furthermore, genes responsible for the disposition of a drug can act synergistically [PMID: 16435171]. Marchetti et al. cite clinically relevant drug interactions influenced by the interplay of ABCB1 with other genes in the disposition of P-gp compounds, such as paclitaxel and cyclosporine A (CsA) (via CYP3A4 inhibition), digoxin and rifampin (via CYP3A4 induction), and topotecan and elacridar (via ABCG2 inhibition) [PMID: 17766652].

Multi-drug resistance
Drug resistance by multiple mechanisms [PMID: 2892943, 12712010, 15641020, 16454744, 18699730] accounts for more than 90% treatment failure in metastatic cancer [PMID: 15641020, 18286284]. Multi-drug resistance from intrinsic (drug-naive) and acquired (drug-induced) over-expression of P-gp [PMID: 2892943] is a notable impediment to brain-targeted therapies (e.g. antiepileptics, neuro-antiretrovirals) and chemotherapies [ISBN: 9781402059636, PMID: 16011870, 11907151, 17048260, 18627414]. P-gp expression predicts between 30 to 40% of treatment failure in epilepsy [PMID: 10331089, 15072439, 18199522] and is correlated with drug non-response in acute myeloid leukemia [PMID: 18056183], childhood neuroblastoma [PMID: 1682809] and sarcoma [PMID: 1968964], and other cancers [PMID: 8504063]. The relationship between P-gp expression with non-response to chemotherapy and drug-induced upregulation of P-gp according to tumor type is nicely reviewed by Takara et al. [PMID: 16454744].

Known interactions between substrates and modulators of P-gp have been exploited in drug development and treatment protocols to overcome low drug delivery. Inhibitors of P-gp, such as formulary excipients (e.g. tocopherol (vitamin E preparation, TPGS 1000) and Cremophor EL) [PMID: 8118035, 9520143, 17367162] and approved drugs, are clinically used to enhance the delivery of P-gp substrates. Verapamil and cyclosporine A (CsA) are examples of the first-generation of 'P-gp reversal agents' [PMID: 16454744] used in combination with antineoplastic agents, such as doxorubicin, vincristine, and paclitaxel to enhance bioavailability [PMID: 1676918, 8725386, 12454106, 16969354, 18510173]. However, dose-limiting toxicity of early reversal agents and formulary excipients has led to the development of second-generation antagonists of P-gp, such as valspodar (PSC833), with ten-fold greater potency for P-gp and less side effects [PMID: 19949935, 1346494, 12712010].

Substrate interactions with other pharmacokinetic genes affecting the absorption, distribution, metabolism, elimination (ADME) of drugs play a significant role in the effectiveness of P-gp reversal agents. Substrate specificity for multiple ADME genes can be advantageous or disadvantageous in adjunct therapy. For example, the mechanism by which both cyclosporine A and valspodar enhance the bioavailability of paclitaxel is owed in part to their inhibition of CYP3A4 [PMID: 9698296, 10589748], ABCC2 [PMID: 17062689], and other elimination-pathway genes (e.g. CYP2J2) [PMID: 19923256] for paclitaxel. On the other hand, non-specific inhibition of multiple elimination-pathway genes involved in drug clearance can lead to side effects associated with the prolonged half life of the primary drug. As more is known about the gene expression profile of specific pathological conditions, P-gp reversal agent use can be optimized. For example, where redundant drug resistance mechanisms are operant, as with ABCB1, ABCC1 (MRP1), and ABCG2 (BCRP) in acute myeloid leukemia [PMID: 14617793, 18699730], inhibition of multiple drug resistance genes can be beneficial. Characterization of the genes responsible for pharmacoresistance in a particular disease or disease stage is used to inform drug treatment (see P-gp-guided therapy). Also, third-generation P-gp reversal agents (e.g. tariquidar (XR9576), zosuquidar (LY335979), laniquidar (R101933), and OC144-093 (ONT093)) with greater specificity for P-gp and less affinity for other ADME genes, have been developed [PMID: 10975553, 12712010]. A number of the newer-generation P-gp reversal agents (e.g. tariquidar, valspodar (PSC833), zosuquidar, OC144-093, elacridar (GF120918, GG918), and CBT-1) have shown promise in in vitro and early trials for treatment of epilepsy and cancer [PMID: 12712010, 18234154, 15565444, 18234154, 18627414].

P-gp-guided therapy
Techniques to characterize the mechanisms of drug resistance that are operant in individual patients inform treatment with P-gp antagonists as adjuncts in the appropriate case. Single photon emission computed tomography (SPECT) analysis of the P-gp substrate, Tc-99m sestamibi, is used to probe P-gp-positive cells as a way to predict pharmacoresistance to antiepileptics [PMID: 18627414] and antitumor drugs [PMID: 9815718, 19390941]. This technique is shown to be a cost-effective method for pre-selecting responders to lung cancer treatment [PMID: 19223414]. Tc-99m sestamibi is also used to monitor the efficacy of P-gp reversal agents in sensitizing pharmacoresistant cells to P-gp substrates [PMID: 15269145]. A phase I clinical trial using vinblastine plus valspodar reversal agent, and Tc-99m sestamibi imaging to monitor the sensitization of P-gp-positive cells, showed increased Tc-99m sestamibi retention in tumor cells of metastatic renal carcinoma patients (and thus presumably, cytotoxic agent, vinblastine) [PMID: 9815718]. Tariquidar/taxane/anthracycline polytherapy guided by serial Tc-99m sestamibi tumor scans was tried in a phase II clinical trial for breast cancer with acquired pharmacoresistance (Clinical trial ID: NCT00048633 at http://clinicaltrials.gov

). Results to date show that cancers exhibiting de novo pharmacoresistance (drug naive), such as leukemias, myeloma, lymphomas, and breast and ovarian cancers, are the most amenable to P-gp modulation with reversal agents as adjunct therapy.

Genetic associations
Disease-causing mutations in fourteen of the ABC superfamily members have been described, as in CFTR (ABCC7) for cystic fibrosis, ABCA4 for macular degeneration, ABCC2 and ABCB11 for biliary dysfunction, and ABCA1, ABCG5, ABCG8, and ABCD1 for fatty acid/lipid disorders [PMID: 12045106]. A large corpus of literature about sequence variations for ABCB1 exists, however there is no clear consensus regarding the contribution of ABCB1 variation to disease risk [PMID: 16969364, 17661727, 18370231]; and despite evidence for inter-individual variability in ABCB1 expression and P-gp function [PMID: 7473127, 14965248, 19285158], the genetic contribution is unclear [PMID: 16969364]. A great number of studies has been carried out to establish the role of ABCB1 genetics in various phenotypes such as P-gp expression, function, drug response, and disease susceptibility with little consensus. Most genotype-phenotype associations are not substantiated by study replication, meaningful sample size, and appropriate multitesting correction. See helpful reviews [PMID: 12505329, 12406646, 14749689, 15212152], including a detailed summary by Leschziner et al. of the discordant literature regarding genetic association of ABCB1 SNPs and haplotypes with P-gp expression, activity, drug response, and disease risk [PMID: 16969364].

Despite much work to ascertain the genetic contribution of ABCB1 on drug disposition and disease susceptibility, the accumulation of studies to date are unclear. Until data is amassed to form a consensus about the role of genetics in P-gp-related phenotypes, the primary clinical focus on P-gp relates to its role in (1) multi-drug resistance, and (2) drug-drug interactions [PMID: 17933685].

ABCB1 variants
As of April 30, 2009 for build 130 of the Single Nucleotide Polymorphism database (dbSNP), there are 1279 SNPs in the ABCB1 gene region, 62 of which are coding (22 synonymous, 41 non-synonymous, and 1 in the start codon). The number and frequency of SNPs observed varies by ethnicity. Excluding SNPs below 5% allele frequency, there are approximately 124 SNPs observed in Caucasians, 134 in African Americans, 153 in Chinese, and 166 in Japanese (see ABCB1 in HapMap at www.hapmap.org). Additional information is available at the University of California, San Francisco Pharmacogenetics of Membrane Transporters Database (see ABCB1 at http://pharmacogenetics.ucsf.edu).

About 2.6 times fewer (n = 4) SNPs occur in the transmembrane domains compared to the intracellular and extracellular regions of the protein. None of the three prime untranslated region (3'UTR) SNPs are reported to alter mRNA stability [PMID: 19285158]. The three most common SNPs in the protein coding region are rs1128503 (1236T>C, Gly412Gly), rs2032582 (2677T>G/A, Ser893Ala/Thr), and rs1045642 (3435T>C, Ile1145Ile) [PMID: 16141795], according to build 130 of (dbSNP). These three SNPs have been the focus of many pharmacokinetic and disease association studies with controversial results [PMID: 16969364] (see Important Variants). Other less frequent variants include -129C>T (5'-UTR), 61A>G (Asn21Asp), and 1199G>A (Ser400Asn), which have been studied in vivo and in vitro. (See coding SNP locations on the secondary structure of P-gp per Fung et al. [PMID: 19285158] as adapted from Ambudkar et al. [PMID: 10331089].)

ABCB1 haplotypes
Closely positioned sequence variants tend not to segregate independently with each generation due to linkage disequilibrium (LD). As a result, multiple variant alleles are inherited together on the same physical chromatid in a particular pattern. That is to say that for linked variant alleles, the occurance of one variant allele informs the valence other alleles with a certain level of predictability. For example, alleles from the three most common coding SNPs at nucleotides 1236, 2677, and 3435, are in high LD [PMID: 16708052] and are observed most frequently as the 893Ala-containing CGC haplotype and 893Ser-containing TTT haplotype in most ethnic groups [PMID: 11503014, 12172212, 12893986, 14976162]. Other observed haplotypes extend beyond the exonic region of ABCB1 [PMID: 16255080]. Leschziner et al. observed LD extending 75 kilobases, linking 3' variant alleles of ABCB1 to coding variant alleles of the adjacent ABC transporter gene, ABCB4 [PMID: 16708052].

Haplotype structure relates to the location of recombination hot spots and ancestry-specific patterns of LD [PMID: 16255080, 18288195]. Tang et al. observed ethnic-specific LD blocks at the ABCB1 locus that are 80, 60, and 40 kilobase in length and distinguish Chinese, Malay, and Indian populations, respectively [PMID: 12172212]. Similarly, comparison of the mutation rate between Beninese Africans (1 variant per 224 basepairs) and American Africans (1 variant per 172 bp) reflects admixture in the U.S. cohort that differentiates the ABCB1 haplotype structure in these populations [PMID: 15692830]. Accordingly, haplotype frequencies differ by ethnic group. For example, the 893Ser-containing TTT haplotype occurs relatively infrequently in African Americans compared to Caucasians [PMID: 11503014, 12893986] and Asians [PMID: 12172212].

A haplotype by definition is not bound by a gene region, but gene-specific haplotypes can acquire allelic designations in the literature. Sequence analysis of ABCB1 in different ethnic groups has been performed [PMID: 11503014, 12172212, 12893986, 14646693, 15692830, 16708052, 17187507] and led to the designation of "star alleles" [PMID: 14646693, 11503014, 12893986], as explained by Robarge et al. [PMID: 17700589] (see Important Haplotypes). Briefly, the designation of ABCB1 star alleles follows rules established by the Cytochrome P450 Allele Nomenclature Committee and others for naming haplotypes observed for cytochrome P450 (CYP450), uridinediphosphate-glucuronosyltransferase (UGT), N-acetyltransferase (NAT), and aldehyde dehydrogenase (ALDH) [PMID: 10862518, 17700589] genes. Star alleles are defined relative to an arbitrarily established reference sequence, denoted *1. ABCB1*1 contains 1236C, 2677G (893Ala), and 3435C. Many star allele designations for ABCB1 are currently not harmonization in the literature. To illustrate, ABCB1*2, as defined by Kim et al., harbors three coding variants, namely 1236T, 2677T (893Ser), and 3435T [PMID: 11503014]; while ABCB1*2, as defined by Kroetz et al., contains 3435T (and is reference for 1236C and 2677G (893Ala)) [PMID: 12893986]. ABCB1*13 per Kroetz et al. (1236T, 2677T (893Ser), 3435T, and 3 intronic SNPs) [PMID: 12893986] is most similar to ABCB1*2 defined by Kim et al. [PMID: 11503014] as they are indistinguishable in terms of the coding region and amino acid sequence.

To investigate the regulatory impact of promoter variants on functional phenotypes, haplotype analysis of the promoter region has also been performed [PMID: 15280437, 16907707, 16608921, 19072639]. Wang et al. observed a haplotype formed from eight low-frequency variants (<5% minor allele frequency) in the promoter region that accounted for 85% of all haplotypes observed in five ethnic groups [PMID: 16608921]. They functionally characterized promoter haplotypes observed in Chinese, Malays, Indians, European Americans, and African Americans using an in vitro reporter assay and found significant ethnic-specific differences in promoter activity, although activity differed by the cell line used in the assay (presumably due to cell-specific regulatory factors). Other work has been done to understand the relationship between regulatory and coding variants for ABCB1 and their potential association with endophenotypes. Takane et al. showed that variation in promoter haplotype activity was independent of variation at the synonymous 3435 SNP, and the methylation status of the proximal promoter did not correlate with ABCB1 mRNA expression [PMID: 15280437] (see Molecular and protein structure, and Compounds that interact with P-gp). Jiang et al. found an association between the promoter methylation status and variation in coding SNPs for ABCB1. They showed that lower promoter methylation was associated with the 3435 TT and 893Ala-containing 2677 genotypes, while the 893Ser-containing TTT (1236, 2677, 3435) haplotype was associated with higher methylation 19072639. More research is needed to elucidate the functional relevance of regulatory variants for ABCB1 and their potential value to predicting P-gp-related phenotypes.

Key PubMed IDs: [PMID: 12505329, 12406646, 14749689, 15212152, 10331089, 2863759, 7473127, 11503014, 12893986, 10716719]
Key Pathways: Antiplatelet Drug Clopidogrel Pathway (PK)
Citalopram (PK)
Codeine and Morphine Pathway (PK)
Doxorubicin Pathway
Erlotinib Pathway (PK)
Etoposide Pathway
Gefitinib Pathway (PK)
Imatinib
Irinotecan Pathway
Irinotecan Pathway (Cancer)
Methotrexate Pathway
Proton Pump Inhibitor (PK)
Statin Pathway (Atorvastatin, Lovastatin and Simvastatin PK)
Statin Pathway (PK)
Statin Pathway (Pravastatin PK)
Taxane Pathway
Vinca Alkaloids PK
Warfarin Pathway (PK)
Drugs/Substrates: P-gp substrates
Actinomycin D, Aldosterone, ALLM peptide, ALLN peptide, Amitriptyline, Amprenavir, Atorvastatin, Beta-amyloid, Bromperidol, Calcein acetoxymethylester (AM), Carbamazepine, Celiprolol, Chloropromazine, Clopidogrel (Plavix), Cimetidine, Citalopram, Colchicine, Corticosterone, Cortisol, Cyclosporine A, Daunorubicin, Dexamethasone, Digoxin, Diltiazem, Docetaxel, Domperidon, Doxorubicin, Doxycycline, Erythromycin, Etoposide, Fexofenadine, Grapefruit juice, Gramacidin D, Gramacidin S, Imatinib, Indinavir, Irinotecan, Itraconazole, Ivermectin, Ketoconazole, Lamotrigine, Lansoprazole, Levetiracetam, Levofloxacin, Loperamide, Losartan, Lovastatin, Melphalan, Methylprednisolone, Mitomycin C, Mitoxantrone, Morphine, Nelfinavir, Omeprazole, Ondansetron, Paclitaxel, Pantoprazole, Pentazocine, Phenobarbital, Phenothiazine (1, 2), Phenytoin, Pravastatin (Mevinolin), Propranolol, Quinidine, Ranitidine, Rifampin, Ritonavir, Saquinavir, short chain lipids, Simvastatin, Sirolimus, Sparfloxacin, Tacrolimus, Talinolol, Tc-99m sestamibi, Teniposide, Terfenadine, Tetracycline, Topotecan, Valspodar, Vecuronium, Verapamil, Vinblastine, Vincristine

P-gp Inhibitors
Amiodarone, Amitriptyline, Astemizole, Atorvastatin, Bepridil, Biricodar, Bromocriptine, Carotenoids, Carvedilol, Chlorpromazine, Clarithriomycin, Cobalamin (1, 2), Cortisol, Cremophor EL, Curcumin, Cyclosporine A, Desipramine, Dietary antioxidants, Diltiazem, Dipyridamole, Disulfiram, Elacridar, Erlotinib, Erythromycin, Felodipine, Fluoxetine, Flupenthixol, Fluphenazine, Gefitinib, Haloperidol, Indinavir, Itraconazole, Ketoconazole, Laniquidar (R101933), Lansoprazole, Leupeptin, Lonafarnib, Maprotiline, Mefloquine, Midazolam, Mifepristone, Natural diterpenes, Natural triterpenes, Nelfinavir, Nicardipine, Nitrendipine, OC144-093, Omeprazole, Pantoprazole, Paroxetine, Pentazocine, Progesterone, Propafenone, Quinidine, Quinine, Reserpine, Ritonavir, Saquinavir, Sertraline, Simvastatin, Sirolimus, Spironolactone, Tacrolimus, Tamoxifen, Tariquidar (XR9576), Tetrabenzine, Tocopherol, Valinomycin, Valspodar, Vanadate, Verapamil, Vinblastine, XR9051, Zosuquidar

P-gp Inducers/Stimulators
Amiodarone, Amprenavir, Bromocriptine, Chlorambucil (Phenylbutyrate), Cisplatin, Clotrimazole, Colchicine, Cyclosporine A, Daunorubicin, Dexamethasone, Diltiazem, Doxorubicin, Efavirenz, Erythromycin, Etoposide, FCME peptide, Flurouracil, GGCME peptide, Hydroxyurea, Insulin, Indinavir, Methotrexate, Midazolam, Mitoxantrone, Morphine, Nelfinavir, Nicardipine, Nifedipine, Phenytoin, Phenothiazine (1, 2), Prenylcysteines, Probenecid, Reserpine, Retinoid acid, Rifampin, Ritonavir, Saquinavir, St. John's wort, Tacrolimus, Tamoxifen, Verapamil, Vinblastine, Vincristine, Yohimbine

[PMIDs: 7765321, 8118035, 8898203, 9300798, 9520143, 10331089, 10408903, 10411543, 11770010, 12359865, 14749689, 14698041, 15497697, 16370938, 16651435, 17112805, 17367162, 17428165, 17982279, 18215618, 18668431, 18699730, 18824002, 18940259, 19106083, 19223414, 19234366, 19458058, 19447222]
Phenotypes/Diseases: Inconclusive [PMID: 16969364, F1000 Biology Reports 2009, 1: 23]
Important Variants: rs1128503, ABCB1:1236T>C, mRNA 1654T>C, Gly412Gly
rs2032582, ABCB1:2677T>G/A, mRNA 3095T>G/A, Ser893Ala/Thr
rs1045642, ABCB1:3435T>C, mRNA 3853T>C, Ile1145Ile
Important Haplotypes: ABCB1 haplotypes
The vast majority of haplotype studies for ABCB1 do not take into account all segregating sites that are used to distinguish ABCB1 star alleles, but interrogate a select few variants. The variant alleles of the three most common coding SNPs, at nucleotides 1236 (rs1128503), 2677 (rs2032582), and 3435 (rs1045642), are in high linkage disequilibrium [PMID: 16708052]. Genotyping these three common ABCB1 coding SNPs captures a large portion of observed population haplotypes [PMID: 11503014, 12893986, 19072639]. The linked variant alleles for 1236-2677-3435 are observed most frequently as the 893Ala-containing CGC haplotype and the 893Ser-containing TTT haplotype in most ethnic groups [PMID: 11503014, 12172212, 12893986].

ABCB1 star alleles
ABCB1 star allele designations are currently not harmonized in the literature, and thus are specific to the citation referenced.
ABCB1*1 contains 1236C, 2677G (893Ala), 3435C, as named by Kim et al. 2001 [PMID: 11503014]
ABCB1*2 contains 1236T, 2677T (893Ser), 3435T, as named by Kim et al. 2001 [PMID: 11503014]
ABCB1*2 contains 1236C, 2677G (893Ala), 3435T, as named by Kroetz et al. 2003 [PMID: 12893986]
ABCB1*13 contains 1236T, 2677T (893Ser), 3435T, and three intronic SNPs, as named by Kroetz et al. 2003 [PMID: 12893986]
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