| Literature DB >> 19806217 |
Jennyfer Zerbib1, Johanna M Seddon, Florence Richard, Robyn Reynolds, Nicolas Leveziel, Pascale Benlian, Patrick Borel, Josué Feingold, Arnold Munnich, Gisèle Soubrane, Josseline Kaplan, Jean-Michel Rozet, Eric H Souied.
Abstract
Major genetic factors for age-related macular degeneration (AMD) have recently been identified as susceptibility risk factors, including variants in the CFH gene and the ARMS2 LOC387715/HTRA1locus. Our purpose was to perform a case-control study in two populations among individuals who did not carry risk variants for CFHY402H and LOC387715 A69S (ARMS2), called "study" individuals, in order to identify new genetic risk factors. Based on a candidate gene approach, we analyzed SNP rs5888 of the SCARB1 gene, coding for SRBI, which is involved in the lipid and lutein pathways. This study was conducted in a French series of 1241 AMD patients and 297 controls, and in a North American series of 1257 patients with advanced AMD and 1732 controls. Among these individuals, we identified 61 French patients, 77 French controls, 85 North American patients and 338 North American controls who did not carry the CFH nor ARMS2 polymorphisms. An association between AMD and the SCARB1 gene was seen among the study subjects. The genotypic distribution of the rs5888 polymorphism was significantly different between cases and controls in the French population (p<0.006). Heterozygosity at the rs5888 SNP increased risk of AMD compared to the CC genotypes in the French study population (odds ratio (OR) = 3.5, CI95%: 1.4-8.9, p<0.01) and after pooling the 2 populations (OR = 2.9, 95% CI: 1.6-5.3, p<0.002). Subgroup analysis in exudative forms of AMD revealed a pooled OR of 3.6 for individuals heterozygous for rs5888 (95% CI: 1.7-7.6, p<0.0015). These results suggest the possible contribution of SCARB1, a new genetic factor in AMD, and implicate a role for cholesterol and antioxidant micronutrient (lutein and vitamin E) metabolism in AMD.Entities:
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Year: 2009 PMID: 19806217 PMCID: PMC2752725 DOI: 10.1371/journal.pone.0007341
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Non-genetic characteristics of the entire French and North American populations.
| French population | USA population | |||||
| Controls | Cases | Controls | Cases | p | ||
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| 110 (39.4%) | 415 (33.4%) | ≤0.06 | 543 (43.2%) | 750 (43.3%) | <0.96 |
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| 69.2 (7.4) | 78.8 (7.5) | <0.0001 | 75.0 (5.5) | 80.3 (6.5) | <0.0001 |
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| 89 (30.1%) | 106 (8.6%) | <0.0001 | 27 (4.6%) | 98 (7.9%) | <0.005 |
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| 163 (55.1%) | 770 (62.1%) | 251 (42.9%) | 455 (36.7%) | ||
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| 44 (14.8%) | 364 (29.3%) | 307 (52.5%) | 686 (55.4%) | ||
Genotype distributions among the entire French and North American populations.
| French population | USA population | |||||
| Controls | Cases | Controls | Cases | p | ||
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| 35 (11.8%) | 356 (28.7%) |
| 154 (12.3%) | 654 (37.8%) |
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| 146 (49.2%) | 628 (50.6%) | 562 (44.7%) | 815 (47.1%) | ||
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| 116 (39.0%) | 257 (20.7%) | 541 (43.0%) | 263 (15.2%) | ||
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| 195 (65.7%) | 397 (32.0%) |
| 799 (63.6%) | 542 (31.3%) |
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| 92 (31.0%) | 577 (46.5%) | 416 (33.1%) | 814 (47.0%) | ||
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| 10 (3.4%) | 267 (21.5%) | 42 (3.3%) | 376 (21.7%) | ||
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| 79 (26.6%) | 317 (25.5%) |
| 376 (29.9%) | 433 (25.0%) |
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| 151 (50.8%) | 629 (50.7%) | 585 (46.5%) | 903 (52.1%) | ||
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| 67 (22.6%) | 295 (24.8%) | 296 (23.6%) | 396 (22.9%) | ||
P values: global chi2 test with 2 degrees of freedom for comparison of genotype distribution between cases and controls.
Non-genetic characteristics of the French and North American populations with no risk alleles for CFH and ARMS2.
| French population | USA population | |||||
| Controls | Cases | Controls | Cases | p | ||
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| 23 (31.9%) | 16 (26.2%) |
| 144 (42.6%) | 39 (45.9%) |
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| 70.3 (7.2) | 77.9 (9.8) |
| 74.8 (5.6) | 79.0 (8.0) |
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| 19 (24.7%) | 10 (16.4%) |
| 8 (5.0%) | 8(14.3%) |
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| 46 (59.7%) | 41 (67.2%) | 72 (45.0%) | 20 (35.7%) | ||
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| 12 (15.6%) | 10 (16.4%) | 80 (50.0%) | 28 (50.0%) | ||
Adjusted Odds ratio for rs5888 of SCARB1 gene in patients with no risk alleles for CFH and ARMS2.
| CC | CT | TT | ||
| OR [CI95%] | OR [CI95%] | P | ||
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| 1 (ref) | 3.5 [1.4–8.9] | 1.0 [0.3–3.2] |
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| 1 (ref) | 2.5 [1.1–5.7] | 2.0 [0.8–5.2) |
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| 1 (ref) | 2.9 [1.6–5.3] | 1.6 [0.8–3.3] |
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| 1 (ref) | 4.3 [1.5–11.9] | 1.8 [0.5–6.3] |
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| 1 (ref) | 2.5 [1.2–5.5] | 1.7 [0.7–4.3] |
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| 1 (ref) | 3.6 [1.3–10.0] | 1.1 [0.3–4.0] |
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| 1 (ref) | 3.5 [1.1–10.5] | 2.2 [0.6–8.0] |
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| 1 (ref) | 3.6 [1.7–7.6] | 1.6 [0.7–4.0] |
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Adjustment for non genetic confounders: age, sex, and cigarette smoking.
For table 4, OR are estimated by genotype (CT vs CC and TT vs CT) but the p values are global p values (with 2 degrees of freedom) for estimates a global effect of genotype (is at least one of the genotypes (CT or TT) significantly associated with increased rik of AMD).
*Interaction with center; p<0.29, interaction with sex (in pooled population), p<0.48.
Sample size: France: 61 cases and 72 controls – USA: 56 cases and 160 controls.