| scholarly article | Q13442814 |
| P356 | DOI | 10.1016/J.JID.2018.05.023 |
| P953 | full work available at URL | http://eprints.whiterose.ac.uk/131554/ |
| P932 | PMC publication ID | 6249137 |
| P698 | PubMed publication ID | 29890168 |
| P50 | author | Maria Teresa Landi | Q28606990 |
| Graham Giles | Q30524411 | ||
| Julia A Newton Bishop | Q47973102 | ||
| Matthew H Law | Q56420235 | ||
| Florence Demenais | Q56420237 | ||
| John Hopper | Q56726496 | ||
| Anne E Cust | Q56923556 | ||
| Joanne F Aitken | Q63682319 | ||
| Bruce Armstrong | Q63705546 | ||
| Peter A Kanetsky | Q90377577 | ||
| Alisa M. Goldstein | Q91400899 | ||
| Helen Schmid | Q100317427 | ||
| Mark Harland | Q114374689 | ||
| Kairen Kukalizch | Q117284426 | ||
| Mark Jenkins | Q42412309 | ||
| Juliette Randerson-Moor | Q42440839 | ||
| Stuart Macgregor | Q42711014 | ||
| P2093 | author name string | John Davies | |
| Paul King | |||
| Clive Hoggart | |||
| Minh Bui | |||
| May Chan | |||
| Myriam Brossard | |||
| Birute Karpavicius | |||
| Paul Affleck | |||
| Sue Haynes | |||
| Susan Leake | |||
| Linda Whittaker | |||
| Jane Harrison | |||
| D. Timothy Bishop | |||
| Jennifer H. Barrett | |||
| John C. Taylor | |||
| Graham J. Mann | |||
| Richard F. Kefford | |||
| Kevin M. Brown | |||
| Martin Drummond | |||
| Elizabeth Holland | |||
| Yvonne Taylor | |||
| Mark M. Iles | |||
| Tricia Mack | |||
| P2860 | cites work | Risk determination and prevention of breast cancer | Q26991921 |
| Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement | Q28082297 | ||
| Vitamin D receptor gene polymorphisms, serum 25-hydroxyvitamin D levels, and melanoma: UK case-control comparisons and a meta-analysis of published VDR data | Q33483893 | ||
| Population-based, case-control-family design to investigate genetic and environmental influences on melanoma risk: Australian Melanoma Family Study | Q33566677 | ||
| Does MC1R genotype convey information about melanoma risk beyond risk phenotypes? | Q33828881 | ||
| Development of a melanoma risk prediction model incorporating MC1R genotype and indoor tanning exposure: impact of mole phenotype on model performance | Q33863654 | ||
| Pitfalls of predicting complex traits from SNPs | Q33896815 | ||
| Sunbed use during adolescence and early adulthood is associated with increased risk of early-onset melanoma | Q34128569 | ||
| How much melanoma is caused by sun exposure? | Q34339719 | ||
| Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure | Q34553701 | ||
| Marshalling the translational potential of MC1R for precision risk assessment of melanoma | Q47301159 | ||
| Melanoma risk prediction using a multilocus genetic risk score in the Women's Health Initiative cohort. | Q53273260 | ||
| The melanoma genomics managing your risk study: A protocol for a randomized controlled trial evaluating the impact of personal genomic risk information on skin cancer prevention behaviors | Q56889714 | ||
| Early-life sun exposure and risk of melanoma before age 40 years | Q57265659 | ||
| Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways | Q59137307 | ||
| Clinical whole-body skin examination reduces the incidence of thick melanomas | Q59235106 | ||
| Strengthening the reporting of genetic risk prediction studies: the GRIPS statement | Q59379512 | ||
| Site-specific protective effect of broad-spectrum sunscreen on nevus development among white schoolchildren in a randomized trial | Q81695097 | ||
| Replication and predictive value of SNPs associated with melanoma and pigmentation traits in a Southern European case-control study | Q34581022 | ||
| Relationship between sun exposure and melanoma risk for tumours in different body sites in a large case-control study in a temperate climate. | Q34615791 | ||
| Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer | Q34736112 | ||
| Most common 'sporadic' cancers have a significant germline genetic component | Q34736858 | ||
| MC1R genotype as a predictor of early-onset melanoma, compared with self-reported and physician-measured traditional risk factors: an Australian case-control-family study | Q35019782 | ||
| Effects of tailored risk communications for skin cancer prevention and detection: the PennSCAPE randomized trial | Q35071198 | ||
| Joint effect of multiple common SNPs predicts melanoma susceptibility | Q35083167 | ||
| MC1R genotypes and risk of melanoma before age 40 years: a population-based case-control-family study | Q35088518 | ||
| MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: a pooled-analysis from the M-SKIP project | Q35230315 | ||
| A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma | Q35699278 | ||
| Risk Prediction Models for Colorectal Cancer: A Systematic Review. | Q35805652 | ||
| Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers | Q35927436 | ||
| Meta-analysis of risk factors for cutaneous melanoma: I. Common and atypical naevi | Q35993051 | ||
| Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma | Q36019187 | ||
| Prediction of breast cancer risk based on profiling with common genetic variants | Q36583004 | ||
| Odds per adjusted standard deviation: comparing strengths of associations for risk factors measured on different scales and across diseases and populations | Q36591738 | ||
| Familial melanoma: a meta-analysis and estimates of attributable fraction. | Q37670479 | ||
| Estimating the attributable fraction for cancer: A meta-analysis of nevi and melanoma | Q37677944 | ||
| MITF E318K's effect on melanoma risk independent of, but modified by, other risk factors | Q37705148 | ||
| Identification of seven loci affecting mean telomere length and their association with disease | Q37735420 | ||
| Net reclassification improvement: computation, interpretation, and controversies: a literature review and clinician's guide | Q38193133 | ||
| Screening for Skin Cancer: US Preventive Services Task Force Recommendation Statement | Q38908757 | ||
| A common intronic variant of PARP1 confers melanoma risk and mediates melanocyte growth via regulation of MITF. | Q40101469 | ||
| Genetics of risk factors for melanoma: an adult twin study of nevi and freckles. | Q40773879 | ||
| Prediction of Melanoma Risk in a Southern European Population Based on a Weighted Genetic Risk Score | Q40833067 | ||
| Prediction of individual genetic risk to prostate cancer using a polygenic score | Q41584352 | ||
| Systematic skin cancer screening in Northern Germany | Q44369592 | ||
| P433 | issue | 12 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | cell biology | Q7141 |
| molecular biology | Q7202 | ||
| dermatology | Q171171 | ||
| P304 | page(s) | 2617-2624 | |
| P577 | publication date | 2018-06-01 | |
| P1433 | published in | Journal of Investigative Dermatology | Q3186921 |
| P1476 | title | Assessing the Incremental Contribution of Common Genomic Variants to Melanoma Risk Prediction in Two Population-Based Studies | |
| P478 | volume | 138 |
| Q90104212 | A risk prediction model for the development of subsequent primary melanoma in a population-based cohort |
| Q92544513 | Fibroblast Growth Factor Receptor Signaling in Skin Cancers |
| Q94461679 | MC1R variants and associations with pigmentation characteristics and genetic ancestry in a Hispanic, predominately Puerto Rican, population |
| Q92993050 | Systematic evaluation of cancer-specific genetic risk score for 11 types of cancer in The Cancer Genome Atlas and Electronic Medical Records and Genomics cohorts |
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