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Genetic variants at multiple loci of chr5p15.33 have been associated with susceptibility to numerous cancers. Here the authors show that the association of one of these loci may be explained by a variant, rs36115365, influencing telomerase reverse transcriptase (TERT) expression via ZNF148.

Christine Skibola and colleagues identify variants at 6p21.32 associated with risk of follicular lymphoma, providing further support that variation in the MHC region influences risk of this disease. They also replicate previously reported risk variants for chronic lymphocytic leukemia.

Five genome-wide association studies of the timing of menarche and menopause have now taken us beyond the range of candidate gene and linkage studies. The list of new genetic associations identified for these two traits should shed light on the mechanisms of ovarian aging, as well as breast cancer and other diseases associated with reproductive lifespan.

Genetic variants associated with susceptibility to pancreatic cancer have been identified using genome wide association studies (GWAS). Here, the authors combine data from over 9000 patients and perform a meta-analysis to identify five novel loci linked to pancreatic cancer.

Luis Pérez-Jurado, Stephen Chanock and colleagues detect clonal chromosomal abnormalities in peripheral blood or buccal samples from individuals in the general population. They show that the frequency of such events increases with age and is associated with elevated risk of developing subsequent hematological cancers.

Chronic lymphocytic leukemia is a highly inheritable cancer. Here the authors conduct a metaanalysis of four genome-wide association studies and identify three novel loci located near EOMES, SERPINB6 and LPPassociated with risk of this disease.

Marginal zone lymphoma (MZL) is a common subtype of B-cell non-Hodgkin lymphoma. Here the authors carry out a two-stage genome-wide association study in over 8,000 Europeans and identify two new MZL risk loci at chromosome 6p, implicating the major histocompatibility complex in the disease for the first time.

Stephen Chanock and colleagues report a genome-wide association study of pancreatic cancer. They identify common variants at the ABO blood group locus associated with susceptibility to pancreatic cancer, consistent with previous epidemiological evidence suggesting that individuals with A or B blood types have greater risk of this cancer than individuals with blood type O.

Rachael Stolzenberg-Solomon, Laufey Amundadottir and colleagues report a genome-wide association study of pancreatic cancer. They identify four new susceptibility loci.

Stephen Chanock and colleagues identify three new susceptibility loci for pancreatic cancer on chromosomes 13q22.1, 1q32.1 and 5p15.33. The association signal at 13q22.1 maps to a large nongenic region, whereas the signals at 1q32.1 and 5p15.33 map near the NR5A2 gene and CPTM1L-TERT region, respectively.

Susan Slager and colleagues report a meta-analysis of genome-wide association studies for chronic lymphocytic leukemia (CLL). They identify nine loci newly associated with CLL.

Networks of investigators have begun sharing best practices, tools and methods for analysis of associations between genetic variation and common diseases. A Network of Investigator Networks has been set up to drive the process, sponsored by the Human Genome Epidemiology Network. A workshop is planned to develop consensus guidelines for reporting results of genetic association studies. Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks. Systematic reviews will be expanded to include more meta-analyses of individual-level data and prospective meta-analyses. Field synopses will offer regularly updated overviews.

James Cerhan and colleagues report genome-wide association and meta-analysis studies to identify genetic susceptibility loci for diffuse large B cell lymphoma. They identify four loci that influence genetic susceptibility to this B cell malignancy.

Nilanjan Chatterjee and colleagues report a theoretical framework to assess the predictive performance of polygenic models for risk prediction, based on analysis of genome-wide association study data sets. Across a range of common diseases and quantitative traits, they examine how predictive performance depends on the sample size, the total heritability and the underlying effect-size distributions.