Related Experiment Video
Updated: Feb 3, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Association between Phenotypic Characteristics and Melanoma in a Large Prospective Cohort Study
Catherine M Olsen1, Nirmala Pandeya1, Bridie S Thompson2
1Department of Population Health, QIMR Berghofer Medical Research Institute, Queensland, Australia; School of Public Health, University of Queensland, Queensland, Australia.
Abstract:
To delineate causal pathways for melanoma, it is essential to derive unbiased estimates of risk. Extant knowledge derives largely from case-control studies with potential for bias. In a population-based prospective study (QSkin, n = 38,854), we assessed melanoma risks associated with pigmentation characteristics and other phenotypes, and we explored additive interactions. We fitted Cox proportional hazards models to adjust for other factors to estimate the independent effects of each characteristic on melanoma risk. During a mean follow-up of 3.5 years, 642 (1.5%) participants developed melanoma (253 invasive, 389 in situ). The characteristics most strongly associated with invasive melanoma were self-reported nevus density at age 21 years (many vs. no moles hazard ratio [95% confidence interval] = 4.91 [2.81-8.55]), inability to tan (no tan vs. deep tan, hazard ratio [95% confidence interval] = 3.39 [1.85-6.20]), and red hair color (vs. black, hazard ratio [95% confidence interval] = 3.11 [1.50-6.43]). Propensity to sunburn was not associated with melanoma after tanning inability was adjusted for. People with both high nevus density and a history of multiple keratinocyte cancers had significantly higher melanoma risks than those with only one of those traits. We infer that melanoma risk is more strongly related to nevus density and inability to tan than susceptibility to sunburn.
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Characteristics of Life
Association Areas of the Cortex
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Associative Learning
Classical conditioning, also known...
Characteristics of Fluids
Characteristics of BJT
For input characteristics, the base-emitter voltage is varied, maintaining a constant collector-emitter voltage. This setup reveals a Shockley-type dependence of the collector current on...

