Fine-Mapping the Region Detects Common Variants Tagging a Rare Coding Allele: Evidence for Synthetic Association in Prostate Cancer
The HOXB13 gene has been implicated in prostate cancer (PrCa) susceptibility. We performed a high resolution fine-mapping analysis to comprehensively evaluate the association between common genetic variation across the HOXB genetic locus at 17q21 and PrCa risk. This involved genotyping 700 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of 3195 SNPs in 20,440 PrCa cases and 21,469 controls in The PRACTICAL consortium. We identified a cluster of highly correlated common variants situated within or closely upstream of HOXB13 that were significantly associated with PrCa risk, described by rs117576373 (OR 1.30, P = 2.62×10−14). Additional genotyping, conditional regression and haplotype analyses indicated that the newly identified common variants tag a rare, partially correlated coding variant in the HOXB13 gene (G84E, rs138213197), which has been identified recently as a moderate penetrance PrCa susceptibility allele. The potential for GWAS associations detected through common SNPs to be driven by rare causal variants with higher relative risks has long been proposed; however, to our knowledge this is the first experimental evidence for this phenomenon of synthetic association contributing to cancer susceptibility.
Vyšlo v časopise:
Fine-Mapping the Region Detects Common Variants Tagging a Rare Coding Allele: Evidence for Synthetic Association in Prostate Cancer. PLoS Genet 10(2): e32767. doi:10.1371/journal.pgen.1004129
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pgen.1004129
Souhrn
The HOXB13 gene has been implicated in prostate cancer (PrCa) susceptibility. We performed a high resolution fine-mapping analysis to comprehensively evaluate the association between common genetic variation across the HOXB genetic locus at 17q21 and PrCa risk. This involved genotyping 700 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of 3195 SNPs in 20,440 PrCa cases and 21,469 controls in The PRACTICAL consortium. We identified a cluster of highly correlated common variants situated within or closely upstream of HOXB13 that were significantly associated with PrCa risk, described by rs117576373 (OR 1.30, P = 2.62×10−14). Additional genotyping, conditional regression and haplotype analyses indicated that the newly identified common variants tag a rare, partially correlated coding variant in the HOXB13 gene (G84E, rs138213197), which has been identified recently as a moderate penetrance PrCa susceptibility allele. The potential for GWAS associations detected through common SNPs to be driven by rare causal variants with higher relative risks has long been proposed; however, to our knowledge this is the first experimental evidence for this phenomenon of synthetic association contributing to cancer susceptibility.
Zdroje
1. RuijterE, van de KaaC, MillerG, RuiterD, DebruyneF, et al. (1999) Molecular genetics and epidemiology of prostate carcinoma. Endocr Rev 20: 22–45.
2. DjulbegovicM, BeythRJ, NeubergerMM, StoffsTL, ViewegJ, et al. (2010) Screening for prostate cancer: systematic review and meta-analysis of randomised controlled trials. BMJ 341: c4543.
3. VickersAJ, RoobolMJ, LiljaH (2012) Screening for prostate cancer: early detection or overdetection? Annu Rev Med 63: 161–170.
4. LichtensteinP, HolmNV, VerkasaloPK, IliadouA, KaprioJ, et al. (2000) Environmental and heritable factors in the causation of cancer–analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med 343: 78–85.
5. HemminkiK, CzeneK (2002) Age specific and attributable risks of familial prostate carcinoma from the family-cancer database. Cancer 95: 1346–1353.
6. ZeegersMP, JellemaA, OstrerH (2003) Empiric risk of prostate carcinoma for relatives of patients with prostate carcinoma: a meta-analysis. Cancer 97: 1894–1903.
7. EelesRA, OlamaAA, BenllochS, SaundersEJ, LeongamornlertDA, et al. (2013) Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array. Nat Genet 45: 385–382, 385-391, 391e381-382.
8. GohCL, SchumacherFR, EastonD, MuirK, HendersonB, et al. (2012) Genetic variants associated with predisposition to prostate cancer and potential clinical implications. J Intern Med 271: 353–365.
9. EelesRA, Kote-JaraiZ, GilesGG, OlamaAA, GuyM, et al. (2008) Multiple newly identified loci associated with prostate cancer susceptibility. Nat Genet 40: 316–321.
10. ShahN, SukumarS (2010) The Hox genes and their roles in oncogenesis. Nat Rev Cancer 10: 361–371.
11. KimSD, ParkRY, KimYR, KimIJ, KangTW, et al. (2010) HOXB13 is co-localized with androgen receptor to suppress androgen-stimulated prostate-specific antigen expression. Anat Cell Biol 43: 284–293.
12. NorrisJD, ChangCY, WittmannBM, KunderRS, CuiH, et al. (2009) The homeodomain protein HOXB13 regulates the cellular response to androgens. Mol Cell 36: 405–416.
13. GillandersEM, XuJ, ChangBL, LangeEM, WiklundF, et al. (2004) Combined genome-wide scan for prostate cancer susceptibility genes. J Natl Cancer Inst 96: 1240–1247.
14. LangeEM, GillandersEM, DavisCC, BrownWM, CampbellJK, et al. (2003) Genome-wide scan for prostate cancer susceptibility genes using families from the University of Michigan prostate cancer genetics project finds evidence for linkage on chromosome 17 near BRCA1. Prostate 57: 326–334.
15. XuJ, DimitrovL, ChangBL, AdamsTS, TurnerAR, et al. (2005) A combined genomewide linkage scan of 1,233 families for prostate cancer-susceptibility genes conducted by the international consortium for prostate cancer genetics. Am J Hum Genet 77: 219–229.
16. ChengL, BostwickDG, LiG, WangQ, HuN, et al. (1999) Allelic imbalance in the clonal evolution of prostate carcinoma. Cancer 85: 2017–2022.
17. GaoX, ZacharekA, SalkowskiA, GrignonDJ, SakrW, et al. (1995) Loss of heterozygosity of the BRCA1 and other loci on chromosome 17q in human prostate cancer. Cancer Res 55: 1002–1005.
18. UchidaT, WangC, SatoT, GaoJ, TakashimaR, et al. (1999) BRCA1 gene mutation and loss of heterozygosity on chromosome 17q21 in primary prostate cancer. Int J Cancer 84: 19–23.
19. GoodeEL, Chenevix-TrenchG, SongH, RamusSJ, NotaridouM, et al. (2010) A genome-wide association study identifies susceptibility loci for ovarian cancer at 2q31 and 8q24. Nat Genet 42: 874–879.
20. EwingCM, RayAM, LangeEM, ZuhlkeKA, RobbinsCM, et al. (2012) Germline mutations in HOXB13 and prostate-cancer risk. N Engl J Med 366: 141–149.
21. KarlssonR, AlyM, ClementsM, ZhengL, AdolfssonJ, et al. (2012) A Population-based Assessment of Germline HOXB13 G84E Mutation and Prostate Cancer Risk. Eur Urol 65: 169–76.
22. ShangZ, ZhuS, ZhangH, LiL, NiuY (2013) Germline homeobox B13 (HOXB13) G84E mutation and prostate cancer risk in European descendants: a meta-analysis of 24,213 cases and 73, 631 controls. Eur Urol 64: 173–176.
23. WitteJS, MeffordJ, PlummerSJ, LiuJ, ChengI, et al. (2013) HOXB13 mutation and prostate cancer: studies of siblings and aggressive disease. Cancer Epidemiol Biomarkers Prev 22: 675–680.
24. XuJ, LangeEM, LuL, ZhengSL, WangZ, et al. (2013) HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG). Hum Genet 132: 5–14.
25. ChenZ, GreenwoodC, IsaacsWB, FoulkesWD, SunJ, et al. (2013) The G84E mutation of HOXB13 is associated with increased risk for prostate cancer: results from the REDUCE trial. Carcinogenesis 34: 1260–1264.
26. HaimanCA, ChenGK, BlotWJ, StromSS, BerndtSI, et al. (2011) Genome-wide association study of prostate cancer in men of African ancestry identifies a susceptibility locus at 17q21. Nat Genet 43: 570–573.
27. HuntKA, MistryV, BockettNA, AhmadT, BanM, et al. (2013) Negligible impact of rare autoimmune-locus coding-region variants on missing heritability. Nature 498: 232–235.
28. MarigortaUM, NavarroA (2013) High trans-ethnic replicability of GWAS results implies common causal variants. PLoS Genet 9: e1003566.
29. WhiffinN, DobbinsSE, HoskingFJ, PallesC, TenesaA, et al. (2013) Deciphering the genetic architecture of low-penetrance susceptibility to colorectal cancer. Hum Mol Genet 22: 507–82.
30. ChangD, KeinanA (2012) Predicting signatures of “synthetic associations” and “natural associations” from empirical patterns of human genetic variation. PLoS Comput Biol 8: e1002600.
31. DicksonSP, WangK, KrantzI, HakonarsonH, GoldsteinDB (2010) Rare variants create synthetic genome-wide associations. PLoS Biol 8: e1000294.
32. SunX, NamkungJ, ZhuX, ElstonRC (2011) Capability of common SNPs to tag rare variants. BMC Proc 5 Suppl 9: S88.
33. Kote-JaraiZ, LeongamornlertD, TymrakiewiczM, FieldH, GuyM, et al. (2010) Mutation analysis of the MSMB gene in familial prostate cancer. Br J Cancer 102: 414–418.
34. LouH, YeagerM, LiH, BosquetJG, HayesRB, et al. (2009) Fine mapping and functional analysis of a common variant in MSMB on chromosome 10q11.2 associated with prostate cancer susceptibility. Proc Natl Acad Sci U S A 106: 7933–7938.
35. Kote-JaraiZ, Amin Al OlamaA, LeongamornlertD, TymrakiewiczM, SaundersE, et al. (2011) Identification of a novel prostate cancer susceptibility variant in the KLK3 gene transcript. Hum Genet 129: 687–694.
36. Kote-JaraiZ, SaundersEJ, LeongamornlertDA, TymrakiewiczM, DadaevT, et al. (2013) Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression. Hum Mol Genet 22: 2520–2528.
37. AndersonCA, PetterssonFH, ClarkeGM, CardonLR, MorrisAP, et al. (2010) Data quality control in genetic case-control association studies. Nat Protoc 5: 1564–1573.
38. HowieB, MarchiniJ, StephensM (2011) Genotype imputation with thousands of genomes. G3 (Bethesda) 1: 457–470.
39. HowieBN, DonnellyP, MarchiniJ (2009) A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet 5: e1000529.
40. SampsonJN, JacobsK, WangZ, YeagerM, ChanockS, et al. (2012) A two-platform design for next generation genome-wide association studies. Genet Epidemiol 36: 400–408.
41. AulchenkoYS, RipkeS, IsaacsA, van DuijnCM (2007) GenABEL: an R library for genome-wide association analysis. Bioinformatics 23: 1294–1296.
42. PurcellS, NealeB, Todd-BrownK, ThomasL, FerreiraMA, et al. (2007) PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81: 559–575.
Štítky
Genetika Reprodukčná medicínaČlánok vyšiel v časopise
PLOS Genetics
2014 Číslo 2
- Je „freeze-all“ pro všechny? Odborníci na fertilitu diskutovali na virtuálním summitu
- Gynekologové a odborníci na reprodukční medicínu se sejdou na prvním virtuálním summitu
Najčítanejšie v tomto čísle
- Genome-Wide Association Study of Metabolic Traits Reveals Novel Gene-Metabolite-Disease Links
- A Cohesin-Independent Role for NIPBL at Promoters Provides Insights in CdLS
- Classic Selective Sweeps Revealed by Massive Sequencing in Cattle
- Arf4 Is Required for Mammalian Development but Dispensable for Ciliary Assembly