Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions

dc.contributor.authorHan, Y.
dc.contributor.authorHazelett, D.J.
dc.contributor.authorWiklund, F.
dc.contributor.authorSchumacher, F.R.
dc.contributor.authorStram, D.O.
dc.contributor.authorBerndt, S.I.
dc.contributor.authorWang, Z.
dc.contributor.authorRand, K.A.
dc.contributor.authorHoover, R.N.
dc.contributor.authorMachiela, M.J.
dc.contributor.authorYeager, M.
dc.contributor.authorBurdette, L.
dc.contributor.authorChung, C.C.
dc.contributor.authorHutchinson, A.
dc.contributor.authorYu, K.
dc.contributor.authorXu, J.
dc.contributor.authorTravis, R.C.
dc.contributor.authorKey, T.J.
dc.contributor.authorSiddiq, A.
dc.contributor.authorCanzian, F.
dc.contributor.authorTakahashi, A.
dc.contributor.authorKubo, M.
dc.contributor.authorStanford, J.L.
dc.contributor.authorKolb, S.
dc.contributor.authorGapstur, S.M.
dc.contributor.authorRyan Diver, W.
dc.contributor.authorStevens, V.L.
dc.contributor.authorStrom, S.S.
dc.contributor.authorPettaway, C.A.
dc.contributor.authorAl Olama, A.A.
dc.date.accessioned2018-11-19T10:37:37Z
dc.date.available2018-11-19T10:37:37Z
dc.date.issued2015-07
dc.description.abstractInterpretation of biological mechanisms underlying genetic risk associations for prostate cancer is complicated by the relatively large number of risk variants (n = 100) and the thousands of surrogate SNPs in linkage disequilibrium. Here, we combined three distinct approaches: multiethnic fine-mapping, putative functional annotation (based upon epigenetic data and genomeencoded features), and expression quantitative trait loci (eQTL) analyses, in an attempt to reduce this complexity. We examined 67 risk regions using genotyping and imputation-based fine-mapping in populations of European (cases/controls: 8600/6946), African (cases/controls: 5327/5136), Japanese (cases/controls: 2563/4391) and Latino (cases/controls: 1034/1046) ancestry. Markers at 55 regions passed a region-specific significance threshold (P-value cutoff range: 3.9 × 10-4-5.6 × 10-3) and in 30 regions we identified markers thatwere more significantly associated with risk than the previously reported variants in the multiethnic sample. Novel secondary signals (P < 5.0 × 10-6) were also detected in two regions (rs13062436/3q21 and rs17181170/3p12). Among 666 variants in the 55 regions with P-values within one order of magnitude of the most-associated marker, 193 variants (29%) in 48 regions overlapped with epigenetic or other putative functional marks. In 11 of the 55 regions, cis-eQTLs were detected with nearby genes. For 12 of the 55 regions (22%), the most significant region-specific, prostate-cancer associated variant represented the strongest candidate functional variant based on our annotations; the number of regions increased to 20 (36%) and 27 (49%) when examining the 2 and 3 most significantly associated variants in each region, respectively. These results have prioritized subsets of candidate variants for downstream functional evaluation. © The Author 2015. Published by Oxford University Press. All rights reserved.en_US
dc.identifier.otherhttps://doi.org/10.1093/hmg/ddv269
dc.identifier.otherVolume 24, Issue 19, Pages 5603–5618
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/25574
dc.language.isoenen_US
dc.publisherHuman Molecular Geneticsen_US
dc.subjectgenesen_US
dc.subjectgenomeen_US
dc.subjecthispanics or latinosen_US
dc.subjectsingle nucleotide polymorphismen_US
dc.subjectprostate canceren_US
dc.subjectepigeneticsen_US
dc.subjectgenotype determinationen_US
dc.subjectjapaneseen_US
dc.subjectimputationen_US
dc.titleIntegration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regionsen_US
dc.typeArticleen_US

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.6 KB
Format:
Item-specific license agreed upon to submission
Description: