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Genome-wide association study of prostate cancer identifies a second risk locus at 8q24

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TLDR
Observations indicate the presence of at least two independent loci within 8q24 that contribute to prostate cancer in men of European ancestry, and it is estimated that the population attributable risk of the new locus, marked by rs6983267, is higher than the locus marked byrs1447295.
Abstract
Recently, common variants on human chromosome 8q24 were found to be associated with prostate cancer risk. While conducting a genome-wide association study in the Cancer Genetic Markers of Susceptibility project with 550,000 SNPs in a nested case-control study (1,172 cases and 1,157 controls of European origin), we identified a new association at 8q24 with an independent effect on prostate cancer susceptibility. The most significant signal is 70 kb centromeric to the previously reported SNP, rs1447295, but shows little evidence of linkage disequilibrium with it. A combined analysis with four additional studies (total: 4,296 cases and 4,299 controls) confirms association with prostate cancer for rs6983267 in the centromeric locus (P = 9.42 x 10(-13); heterozygote odds ratio (OR): 1.26, 95% confidence interval (c.i.): 1.13-1.41; homozygote OR: 1.58, 95% c.i.: 1.40-1.78). Each SNP remained significant in a joint analysis after adjusting for the other (rs1447295 P = 1.41 x 10(-11); rs6983267 P = 6.62 x 10(-10)). These observations, combined with compelling evidence for a recombination hotspot between the two markers, indicate the presence of at least two independent loci within 8q24 that contribute to prostate cancer in men of European ancestry. We estimate that the population attributable risk of the new locus, marked by rs6983267, is higher than the locus marked by rs1447295 (21% versus 9%).

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Citations
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Journal ArticleDOI

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

TL;DR: This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.
Journal ArticleDOI

Genome-wide association study identifies novel breast cancer susceptibility loci

Douglas F. Easton, +109 more
- 28 Jun 2007 - 
TL;DR: To identify further susceptibility alleles, a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls was conducted, followed by a third stage in which 30 single nucleotide polymorphisms were tested for confirmation.
References
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Journal ArticleDOI

A new statistical method for haplotype reconstruction from population data.

TL;DR: A new statistical method is presented, applicable to genotype data at linked loci from a population sample, that improves substantially on current algorithms and performs well in absolute terms, suggesting that reconstructing haplotypes experimentally or by genotyping additional family members may be an inefficient use of resources.
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A haplotype map of the human genome

John W. Belmont, +232 more
TL;DR: A public database of common variation in the human genome: more than one million single nucleotide polymorphisms for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted.
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Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation

TL;DR: For the autosomal data sets, the new approach clearly outperforms the best available methods, whereas its accuracy in inferring the X chromosome haplotypes is only slightly superior, which illustrates its robustness to population stratification.
Journal ArticleDOI

Estimating the population attributable risk for multiple risk factors using case-control data

TL;DR: A straightforward and unified approach is presented for the calculation of the population attributable risk per cent in the general multivariate setting, with emphasis on using data from case-control studies, so that risks need not be estimated separately in a large number of strata.
Journal ArticleDOI

A Fine-Scale Map of Recombination Rates and Hotspots Across the Human Genome

TL;DR: A high-resolution genetic map of the human genome is presented, based on statistical analyses of genetic variation data, and more than 25,000 recombination hotspots are identified, together with motifs and sequence contexts that play a role in hotspot activity.
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