ABCA4 p.Gly172Ser
ClinVar: |
c.514G>A
,
p.Gly172Ser
?
, not provided
|
Predicted by SNAP2: | A: D (59%), C: D (66%), D: D (63%), E: D (63%), F: D (80%), H: D (53%), I: D (75%), K: D (63%), L: D (75%), M: D (75%), N: N (57%), P: D (66%), Q: D (53%), R: D (63%), S: N (93%), T: N (53%), V: D (71%), W: D (85%), Y: D (71%), |
Predicted by PROVEAN: | A: N, C: D, D: N, E: N, F: D, H: N, I: D, K: N, L: N, M: N, N: N, P: N, Q: N, R: N, S: N, T: N, V: N, W: D, Y: D, |
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[hide] Stargardt macular dystrophy: common ABCA4 mutation... Mol Vis. 2012;18:280-9. Epub 2012 Feb 1. Roberts LJ, Nossek CA, Greenberg LJ, Ramesar RS
Stargardt macular dystrophy: common ABCA4 mutations in South Africa--establishment of a rapid genetic test and relating risk to patients.
Mol Vis. 2012;18:280-9. Epub 2012 Feb 1., [PMID:22328824]
Abstract [show]
PURPOSE: Based on the previous indications of founder ATP-binding cassette sub-family A member 4 gene (ABCA4) mutations in a South African subpopulation, the purpose was to devise a mechanism for identifying common disease-causing mutations in subjects with ABCA4-associated retinopathies (AARs). Facilitating patient access to this data and determining the frequencies of the mutations in the South African population would enhance the current molecular diagnostic service offered. METHODS: The majority of subjects in this study were of Caucasian ancestry and affected with Stargardt macular dystrophy. The initial cohort consisted of DNA samples from 181 patients, and was screened using the ABCR400 chip. An assay was then designed to screen a secondary cohort of 72 patients for seven of the most commonly occurring ABCA4 mutations in this population. A total of 269 control individuals were also screened for the seven ABCA4 mutations. RESULTS: Microarray screening results from a cohort of 181 patients affected with AARs revealed that seven ABCA4 mutations (p.Arg152*, c.768G>T, p.Arg602Trp, p.Gly863Ala, p.Cys1490Tyr, c.5461-10T>C, and p.Leu2027Phe) occurred at a relatively high frequency. The newly designed genetic assay identified two of the seven disease-associated mutations in 28/72 patients in a secondary patient cohort. In the control cohort, 12/269 individuals were found to be heterozygotes, resulting in an estimated background frequency of these mutations in this particular population of 4.46 per 100 individuals. CONCLUSIONS: The relatively high detection rate of seven ABCA4 mutations in the primary patient cohort led to the design and subsequent utility of a multiplex assay. This assay can be used as a viable screening tool and to reduce costs and laboratory time. The estimated background frequency of the seven ABCA4 mutations, together with the improved diagnostic service, could be used by counselors to facilitate clinical and genetic management of South African families with AARs.
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139 of alleles detected Frequency p.Cys54Tyr c. 161 G>A 2 0.55% p.Arg152* c. 454 C>T 12 3.31% p.Arg152Gln c. 455 G>A 3 0.83% p.Gly172Ser c. 514 G>A 1 0.28% p.Arg212Cys c. 634 C>T 1 0.28% p.Lys223Gln c. 667 A>C 1 0.28% p.V256V (Splice) c. 768 G>T 18 4.97% p.Pro291Leu c. 872 C>T 1 0.28% p.Trp439* c. 1317 G>A 1 0.28% p.Ala538Asp c. 1613 C>A 1 0.28% p.Leu541Pro c. 1622 T>C 1 0.28% p.Arg602Trp c. 1885C>T 30 8.29% p.Val643Met c. 1927 G>A 1 0.28% p.Arg653Cys c. 1957 C>T 1 0.28% p.Arg681* c. 2041 C>T 3 0.83% p.Val767Asp c. 2300 T>A 1 0.28% p.Trp855* c.2564_2571delGGTACCTT 2 0.55% p.Gly863Ala c. 2588 G>C 11 3.04% p.Val931Met c. 2791 G>A 1 0.28% p.Asn965Ser c. 2894 A>G 4 1.10% p.Val989Ala c. 2966 T>C 1 0.28% p.Gly991Arg c. 2971 G>C 1 0.28% p.Thr1019Met c. 3056 C>T 1 0.28% p.Ala1038Val c. 3113 C>T 3 0.83% p.Glu1087Lys c. 3259 G>A 1 0.28% p.Arg1108Cys c. 3322 C>T 2 0.55% p.Leu1201Arg c. 3602 T>G 4 1.10% p.Arg1300Gln c. 3899 G>A 4 1.10% p.Pro1380Leu c. 4139 C>T 3 0.83% p.Trp1408Arg c. 4222 T>C 1 0.28% - c. 4253+5G>A 1 0.28% p.Phe1440Ser c. 4319 T>C 1 0.28% p.Arg1443His c. 4328 G>A 1 0.28% p.Cys1490Tyr c.4469 G>A 54 14.92% p.Gln1513Pro fs*42 c. 4535 insC 1 0.28% p.Ala1598Asp c. 4793C>A 1 0.28% p.Arg1640Trp c. 4918 C>T 2 0.55% p.Ser1642Arg c. 4926 C>G 1 0.28% p.V1681_C1685del c. 5041 del15 1 0.28% - c. 5461-10T>C 24 6.63% - c. 5714+5 G>A 2 0.55% p.Pro1948Leu c. 5843 C>T 1 0.28% p.Gly1961Glu c. 5882 G>A 4 1.10% p.Leu2027Phe c.6079 C>T 30 8.29% p.Arg2030* c. 6088 C>T 1 0.28% p.Arg2030Gln c. 6089 G>A 3 0.83% p.Arg2038Trp c. 6112 C>T 1 0.28% p.Arg2107His c. 6320 G>A 2 0.55% p.Arg2118Glu fs*27 c. 6352 delA 1 0.28% p.Cys2150Tyr c. 6449 G>A 1 0.28% p.Gln2220* c. 6658 C>T 1 0.28% p.Gly863Ala mutation, which appears to have a founder effect in the Netherlands [13,15], the results obtained from the current study are in agreement with September et al.`s conclusions [9].
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ABCA4 p.Gly172Ser 22328824:139:123
status: NEW[hide] Novel mutations in of the ABCR gene in Italian pat... Eye (Lond). 2010 Jan;24(1):158-64. Epub 2009 Mar 6. Passerini I, Sodi A, Giambene B, Mariottini A, Menchini U, Torricelli F
Novel mutations in of the ABCR gene in Italian patients with Stargardt disease.
Eye (Lond). 2010 Jan;24(1):158-64. Epub 2009 Mar 6., [PMID:19265867]
Abstract [show]
PURPOSE: Stargardt disease (STGD) is the most prevalent juvenile macular dystrophy, and it has been associated with mutations in the ABCR gene, encoding a photoreceptor-specific transport protein. In this study, we determined the mutation spectrum in the ABCR gene in a group of Italian STGD patients. METHODS: The DNA samples of 71 Italian patients (from 62 independent pedigrees), affected with autosomal recessive STGD, were analysed for mutations in all 50 exons of the ABCR gene by the DHPLC approach (with optimization of the DHPLC conditions for mutation analysis) and direct sequencing techniques. RESULTS: In our group of STGD patients, 71 mutations were identified in 68 patients with a detection rate of 95.7%. Forty-three mutations had been already reported in the literature, whereas 28 mutations had not been previously described and were not detected in 150 unaffected control individuals of Italian origin. Missense mutations represented the most frequent finding (59.2%); G1961E was the most common mutation and it was associated with phenotypes in various degrees of severity. CONCLUSIONS: Some novel mutations in the ABCR gene were reported in a group of Italian STGD patients confirming the extensive allelic heterogeneity of this gene-probably related to the vast number of exons that favours rearrangements in the DNA sequence.
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57 Table 2 Summary of the mutations identified in the ABCR gene in our series of STGD Italian patients Patient Allele 1 mutation Allele 2 mutation S 1 R212C T1019M S 8 V1433I V1433I S 21 A1598D A1598D S 33 N96K G978D S 56 A1598D G1961E S 70 R212C T1019M S 71 W700X WT S 74 6750delA V767D S 77 G1961E WT S 82 Q21X G1961E S 106 C1177X G1961E S 107 C1177X G1961E S 114 T970P-F1015E - S 115 T970P-F1015E - S 120 N415K G1961E S 162 324-327insT 324-327insT S 181 W1408X G1961E S 190 C1177X A1598D S 201 G1961E WT S 202 Q21X T970P-F1015E S 213 M840R G1961E S 231 WT WT S 236 C1177X G1961E S 237 WT WT S 241 V256 splice WT S 246 IVS6-1g4t R1108C S 260 L2221P 5109delG-I156V S 321 IVS9 þ 1G4C S1099X S 328 IVS42 þ 4delG IVS35 þ 2t4c S 346 E2096K WT S 347 IVS28 þ 5g4a WT S 353 P1484S-G1961E P68L S 354 P1484S-G1961E P68L S 355 P1484S-G1961E P68L S 360 G1961E 5961delGGAC S 364 IVS35 þ 2t4c G1961E S 365 L541P/A1038V G1961E S 377 IVS42 þ 4delG IVS35 þ 2t4c S 380 R653C WT S 413 R212C T1019M S 414 A1598D G1961E S 417 G1078E G1961E S 438 R1055W WT S 440 4021ins24bp T1526M-G1961E S 449 W1479X L2140Q S 450 W1479X L2140Q S 474 W1461X G 1977S S 486 WT WT S 492 R1098C/L1970F 6548insTGAA S 528 T977P IVS40 þ 5g4a S 531 G690V Q1332X S 532 R572X L1473M-4733delGTTT S 535 IVS40 þ 5g4a 5917delG S 550 IVS40 þ 5g4a 6750delA S 555 250insCAAA WT S 556 250insCAAA WT S 575 N96H G1961E S 590 W821R IVS40 þ 5g4a S 592 V931M R1108C S 593 V767D R2030X Table 2 (Continued ) Patient Allele 1 mutation Allele 2 mutation S 594 G172S G1961E S 602 P1380L G1961E S 607 E616K L1580S-K2172R S 640 250insCAAA S1696N S 694 IVS35 þ 2t4c G1961E S 725 IVS13 þ 1g4a Q1376 splice S 731 L541P-A1038V G1961E S 755 N965S IVS40 þ 5g4a S 789 E1087K G1977S S 968 T1019M G1961E S 992 R212C G1961E Bold values indicate novel mutations.
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ABCA4 p.Gly172Ser 19265867:57:1538
status: NEWX
ABCA4 p.Gly172Ser 19265867:57:1549
status: NEW[hide] Genotyping microarray (gene chip) for the ABCR (AB... Hum Mutat. 2003 Nov;22(5):395-403. Jaakson K, Zernant J, Kulm M, Hutchinson A, Tonisson N, Glavac D, Ravnik-Glavac M, Hawlina M, Meltzer MR, Caruso RC, Testa F, Maugeri A, Hoyng CB, Gouras P, Simonelli F, Lewis RA, Lupski JR, Cremers FP, Allikmets R
Genotyping microarray (gene chip) for the ABCR (ABCA4) gene.
Hum Mutat. 2003 Nov;22(5):395-403., [PMID:14517951]
Abstract [show]
Genetic variation in the ABCR (ABCA4) gene has been associated with five distinct retinal phenotypes, including Stargardt disease/fundus flavimaculatus (STGD/FFM), cone-rod dystrophy (CRD), and age-related macular degeneration (AMD). Comparative genetic analyses of ABCR variation and diagnostics have been complicated by substantial allelic heterogeneity and by differences in screening methods. To overcome these limitations, we designed a genotyping microarray (gene chip) for ABCR that includes all approximately 400 disease-associated and other variants currently described, enabling simultaneous detection of all known ABCR variants. The ABCR genotyping microarray (the ABCR400 chip) was constructed by the arrayed primer extension (APEX) technology. Each sequence change in ABCR was included on the chip by synthesis and application of sequence-specific oligonucleotides. We validated the chip by screening 136 confirmed STGD patients and 96 healthy controls, each of whom we had analyzed previously by single strand conformation polymorphism (SSCP) technology and/or heteroduplex analysis. The microarray was >98% effective in determining the existing genetic variation and was comparable to direct sequencing in that it yielded many sequence changes undetected by SSCP. In STGD patient cohorts, the efficiency of the array to detect disease-associated alleles was between 54% and 78%, depending on the ethnic composition and degree of clinical and molecular characterization of a cohort. In addition, chip analysis suggested a high carrier frequency (up to 1:10) of ABCR variants in the general population. The ABCR genotyping microarray is a robust, cost-effective, and comprehensive screening tool for variation in one gene in which mutations are responsible for a substantial fraction of retinal disease. The ABCR chip is a prototype for the next generation of screening and diagnostic tools in ophthalmic genetics, bridging clinical and scientific research.
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115 Mutations Detected in theTwoTest Populations by the ABCR400 Array,That Had Not Been Found by SSCP Number Nucleotide change Protein e¡ect Number of cases 1 161G4A C54Y 3 2 194G4A G65E 1 3 428C4T P143L 1 4 455G4A R152Q 1 5 514G4A G172S 1 6 635G4A R212H 1 7 656G4C R219T 1 8 768G4Ta Splice/V256V 3 9 1007C4G S336C 2 10 1268A4G H423R 4 11 1411G4A E471K 2 12 1622T4Ca L541P 8 13 1933G4A D645N 1 14 2041C4T R681X 5 15 2090G4A W697X 1 16 2471T4C I824T 1 17 2588G4Ca Splice/G863A 5 18 2828G4A R943Q 1 19 2966T4C V989A 1 20 2971G4C G991R 1 21 4139C4T P1380L 8 22 4195G4A E1399K 1 23 4328G4A R1443H 1 24 4457C4T P1486L 1 25 4462T4Ca C1488R 1 26 4469G4Aa C1490Y 1 27 4918C4Ta R1640W 2 28 IVS40+5G4A Splice 2 29 5537T4C I1846T 2 30 5882G4A G1961E 5 31 6089G4A R2030Q 1 32 6104T4C L2035P 1 33 6449G4A C2150Y 1 Mutation numbering is based on the cDNA sequence (GenBank NM_000350).
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ABCA4 p.Gly172Ser 14517951:115:233
status: NEW