Literature DB >> 21459759

Genetic architecture of cancer and other complex diseases: lessons learned and future directions.

Lucia A Hindorff1, Elizabeth M Gillanders, Teri A Manolio.   

Abstract

Genome-wide association studies have broadened our understanding of the genetic architecture of cancer to include common variants, in addition to the rare variants previously identified by linkage analysis. We review current knowledge on the genetic architecture of four cancers--breast, lung, prostate and colorectal--for which the balance of common and rare alleles identified ranges from fewer common alleles (lung cancer) to more common alleles (prostate cancer). Although most variants are cancer specific, pleiotropy has been observed for several variants, for example, variants at the 8q24 locus and breast, ovarian and prostate cancers or variants in KITLG in relation to hair color and testicular cancer. Although few studies have been adequately powered to investigate heterogeneity among ancestry groups, effect sizes associated with common variants have been reported to be fairly homogenous among ethnic groups. Some associations appear to be ancestry specific, such as HNF1B, which is associated with prostate cancer in European Americans and Latinos but not in African-Americans. Studies of cancer and other complex diseases suggest that a simple dichotomy between rare and common allelic architectures may be too simplistic and that future research is needed to characterize a fuller spectrum of allele frequency (common (>5%), uncommon (1-5%) and rare (<<1%) alleles) and effect size. In addition, a broadening of the concept of genetic architecture to encompass both population architecture, which reflects differences in exposures, genetic factors and population level risk among diverse groups of people, and genomic architecture, which includes structural, epigenomic and somatic variation, is envisioned.

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Mesh:

Year:  2011        PMID: 21459759      PMCID: PMC3140138          DOI: 10.1093/carcin/bgr056

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  83 in total

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Authors: 
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9.  The Next PAGE in understanding complex traits: design for the analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study.

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Journal:  PLoS Genet       Date:  2009-04-03       Impact factor: 5.917

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  49 in total

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Review 3.  Dihydrotestosterone: Biochemistry, Physiology, and Clinical Implications of Elevated Blood Levels.

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Journal:  Endocr Rev       Date:  2017-06-01       Impact factor: 19.871

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Journal:  Cytokine       Date:  2012-05-18       Impact factor: 3.861

Review 5.  High-throughput gene expression and mutation profiling: current methods and future perspectives.

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Review 6.  Children's Oncology Group's 2013 blueprint for research: epidemiology.

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Review 7.  Biomarkers of genome instability and cancer epigenetics.

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Review 8.  Precision medicine in diabetes: an opportunity for clinical translation.

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Review 9.  Genotype to phenotype via network analysis.

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10.  GWAS meets TCGA to illuminate mechanisms of cancer predisposition.

Authors:  Hyun Seok Kim; John D Minna; Michael A White
Journal:  Cell       Date:  2013-01-31       Impact factor: 41.582

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