Current opportunities and challenges: genome-wide association studies on pigmentation and skin cancer

Pigment Cell & Melanoma Research ◽

10.1111/j.1755-148x.2012.01023.x ◽

2012 ◽

Vol 25 (5) ◽

pp. 612-617 ◽

Author(s):

Shasha Meng ◽

Mingfeng Zhang ◽

Liming Liang ◽

Jiali Han

Keyword(s):

Skin Cancer ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Genome‐wide association studies and polygenic risk scores for skin cancer: clinically useful yet?

British Journal of Dermatology ◽

10.1111/bjd.17917 ◽

2019 ◽

Vol 181 (6) ◽

pp. 1146-1155 ◽

Author(s):

M.R. Roberts ◽

M.M. Asgari ◽

A.E. Toland

Keyword(s):

Skin Cancer ◽

Association Studies ◽

Genome Wide Association ◽

Risk Scores ◽

Genome Wide Association Studies ◽

Polygenic Risk ◽

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Genome-wide association studies identify several new loci associated with pigmentation traits and skin cancer risk in European Americans

Human Molecular Genetics ◽

10.1093/hmg/ddt142 ◽

2013 ◽

Vol 22 (14) ◽

pp. 2948-2959 ◽

Author(s):

Mingfeng Zhang ◽

Fengju Song ◽

Liming Liang ◽

Hongmei Nan ◽

Jiangwen Zhang ◽

...

Keyword(s):

Skin Cancer ◽

Cancer Risk ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Skin Cancer Risk ◽

European Americans ◽

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Abstract 4719: Genome-wide association studies of pigmentation and skin cancer: A meta-analysis

10.1158/1538-7445.am10-4719 ◽

2010 ◽

Author(s):

Meg R. Gerstenblith ◽

Jianxin Shi ◽

Maria Teresa Landi

Keyword(s):

Skin Cancer ◽

Association Studies ◽

Meta Analysis ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Genome-wide association studies of pigmentation and skin cancer: a review and meta-analysis

Pigment Cell & Melanoma Research ◽

10.1111/j.1755-148x.2010.00730.x ◽

2010 ◽

Vol 23 (5) ◽

pp. 587-606 ◽

Author(s):

Meg R. Gerstenblith ◽

Jianxin Shi ◽

Maria Teresa Landi

Keyword(s):

Skin Cancer ◽

Association Studies ◽

Meta Analysis ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Faculty Opinions recommendation of Evaluating coverage of genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1043112.493030 ◽

2006 ◽

Author(s):

Pui-Yan Kwok

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Faculty Opinions recommendation of Optimal designs for two-stage genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1087330.540352 ◽

2007 ◽

Author(s):

Jurg Ott

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Optimal Designs ◽

Genome Wide Association Studies ◽

Two Stage ◽

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Faculty Opinions recommendation of Powerful SNP-set analysis for case-control genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.4390968.4221068 ◽

2010 ◽

Author(s):

Daniel Weeks

Keyword(s):

Association Studies ◽

Case Control ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Faculty Opinions recommendation of Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717953700.793460100 ◽

2012 ◽

Author(s):

Gregory Hawkins ◽

Rebecca Slager

Keyword(s):

Association Studies ◽

Airflow Obstruction ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Faculty Opinions recommendation of Extremely low-coverage sequencing and imputation increases power for genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717960893.793463835 ◽

2012 ◽

Author(s):

Nicola Mulder

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

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Faculty Opinions recommendation of Genome-wide association studies of obesity and metabolic syndrome.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718250061.793491050 ◽

2014 ◽

Author(s):

Anke Hinney ◽

Anna-Lena Volckmar

Keyword(s):

Metabolic Syndrome ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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