Literature DB >> 29026206

Genome-wide association studies of cancer: current insights and future perspectives.

Amit Sud1, Ben Kinnersley1, Richard S Houlston1,2.   

Abstract

Genome-wide association studies (GWAS) provide an agnostic approach for investigating the genetic basis of complex diseases. In oncology, GWAS of nearly all common malignancies have been performed, and over 450 genetic variants associated with increased risks have been identified. As well as revealing novel pathways important in carcinogenesis, these studies have shown that common genetic variation contributes substantially to the heritable risk of many common cancers. The clinical application of GWAS is starting to provide opportunities for drug discovery and repositioning as well as for cancer prevention. However, deciphering the functional and biological basis of associations is challenging and is in part a barrier to fully unlocking the potential of GWAS.

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Year:  2017        PMID: 29026206     DOI: 10.1038/nrc.2017.82

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  102 in total

Review 1.  Genetic cancer predisposition syndromes among older adults.

Authors:  Yanin Chavarri-Guerra; Thomas P Slavin; Ossian Longoria-Lozano; Jeffrey N Weitzel
Journal:  J Geriatr Oncol       Date:  2020-01-21       Impact factor: 3.599

2.  Familial risks of acute myeloid leukemia, myelodysplastic syndromes, and myeloproliferative neoplasms.

Authors:  Amit Sud; Subhayan Chattopadhyay; Hauke Thomsen; Kristina Sundquist; Jan Sundquist; Richard S Houlston; Kari Hemminki
Journal:  Blood       Date:  2018-07-10       Impact factor: 22.113

3.  Fine mapping of 2q35 high-risk neuroblastoma locus reveals independent functional risk variants and suggests full-length BARD1 as tumor-suppressor.

Authors:  Flora Cimmino; Marianna Avitabile; Sharon J Diskin; Zalman Vaksman; Piero Pignataro; Daniela Formicola; Antonella Cardinale; Alessandro Testori; Jan Koster; Carmen de Torres; Marcella Devoto; John M Maris; Achille Iolascon; Mario Capasso
Journal:  Int J Cancer       Date:  2018-10-04       Impact factor: 7.396

4.  Genome-wide association study across pediatric central nervous system tumors implicates shared predisposition and points to 1q25.2 (PAPPA2) and 11p12 (LRRC4C) as novel candidate susceptibility loci.

Authors:  Jon Foss-Skiftesvik; Christian Munch Hagen; René Mathiasen; Dea Adamsen; Marie Bækvad-Hansen; Anders D Børglum; Merete Nordentoft; Thomas Werge; Michael Christiansen; Kjeld Schmiegelow; Marianne Juhler; Preben Bo Mortensen; David Michael Hougaard; Jonas Bybjerg-Grauholm
Journal:  Childs Nerv Syst       Date:  2020-11-23       Impact factor: 1.475

5.  Impact of polymorphisms within genes involved in regulating DNA methylation in patients with metastatic colorectal cancer enrolled in three independent, randomised, open-label clinical trials: a meta-analysis from TRIBE, MAVERICC and FIRE-3.

Authors:  Alberto Puccini; Fotios Loupakis; Sebastian Stintzing; Shu Cao; Francesca Battaglin; Ryuma Togunaka; Madiha Naseem; Martin D Berger; Shivani Soni; Wu Zhang; Christoph Mancao; Bodour Salhia; Shannon M Mumenthaler; Daniel J Weisenberger; Gangning Liang; Chiara Cremolini; Volker Heinemann; Alfredo Falcone; Joshua Millstein; Heinz-Josef Lenz
Journal:  Eur J Cancer       Date:  2019-03-07       Impact factor: 9.162

6.  Leveraging Human Genetics to Guide Cancer Drug Development.

Authors:  Ben Kinnersley; Amit Sud; Elizabeth A Coker; Joseph E Tym; Patrizio Di Micco; Bissan Al-Lazikani; Richard S Houlston
Journal:  JCO Clin Cancer Inform       Date:  2018-12

Review 7.  A causal mechanism for childhood acute lymphoblastic leukaemia.

Authors:  Mel Greaves
Journal:  Nat Rev Cancer       Date:  2018-08       Impact factor: 60.716

8.  Analysis of 153 115 patients with hematological malignancies refines the spectrum of familial risk.

Authors:  Amit Sud; Subhayan Chattopadhyay; Hauke Thomsen; Kristina Sundquist; Jan Sundquist; Richard S Houlston; Kari Hemminki
Journal:  Blood       Date:  2019-08-08       Impact factor: 22.113

9.  Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia.

Authors:  Eleanor C Semmes; Jayaram Vijayakrishnan; Chenan Zhang; Jillian H Hurst; Richard S Houlston; Kyle M Walsh
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-05-28       Impact factor: 4.254

10.  Genetic variants in the folate metabolic pathway genes predict cutaneous melanoma-specific survival.

Authors:  W Dai; H Liu; Y Liu; X Xu; D Qian; S Luo; E Cho; D Zhu; C I Amos; S Fang; J E Lee; X Li; H Nan; C Li; Q Wei
Journal:  Br J Dermatol       Date:  2020-02-26       Impact factor: 9.302

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