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An inherited variant in the gene coding for vitamin D ‐binding protein and survival from cutaneous melanoma: a B io G eno MEL study
Author(s) -
Davies John R.,
Field Sinead,
RandersonMoor Juliette,
Harland Mark,
Kumar Rajiv,
Anic Gabriella M.,
Nagore Eduardo,
Hansson Johan,
Höiom Veronica,
Jönsson Göran,
Gruis Nelleke A.,
Park Jong Y.,
Guan Jian,
Sivaramakrishna Rachakonda P.,
Wendt Judith,
Pjanova Dace,
Puig Susana,
Schadendorf Dirk,
Okamoto Ichiro,
Olsson Håkan,
Affleck Paul,
GarcíaCasado Zaida,
PuigButille Joan Anton,
Stratigos Alexander J.,
Kodela Elizabeth,
Donina Simona,
Sucker Antje,
Hosen Ismail,
Egan Kathleen M.,
Barrett Jennifer H.,
Doorn Remco,
Bishop D. Timothy,
NewtonBishop Julia
Publication year - 2014
Publication title -
pigment cell and melanoma research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.618
H-Index - 105
eISSN - 1755-148X
pISSN - 1755-1471
DOI - 10.1111/pcmr.12193
Subject(s) - hazard ratio , confidence interval , medicine , allele , oncology , proportional hazards model , melanoma , vitamin , survival analysis , gene , genetics , biology , cancer research
Summary An association between low serum vitamin D levels and poorer melanoma survival has been reported. We have studied inheritance of a polymorphism of the GC gene, rs2282679, coding for the vitamin D ‐binding protein, which is associated with lower serum levels of vitamin D , in a meta‐analysis of 3137 melanoma patients. The aim was to investigate evidence for a causal relationship between vitamin D and outcome ( M endelian randomization). The variant was not associated with reduced overall survival (OS) in the UK cohort, per‐allele hazard ratio ( HR ) for death 1.23 (95% confidence interval (CI) 0.93, 1.64). In the smaller cohorts, HR in OS analysis was 1.07 (95% CI 0.88, 1.3) and for all cohorts combined, HR for OS was 1.09 (95% CI 0.93, 1.29). There was evidence of increased melanoma‐specific deaths in the seven cohorts for which these data were available. The lack of unequivocal findings despite the large sample size illustrates the difficulties of implementing M endelian randomization.