Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism.
Publication
, Journal Article
Huizinga, TWJ; Pisetsky, DS; Kimberly, RP
Published in: Arthritis Rheum
July 2004
Duke Scholars
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Published In
Arthritis Rheum
DOI
ISSN
0004-3591
Publication Date
July 2004
Volume
50
Issue
7
Start / End Page
2066 / 2071
Location
United States
Related Subject Headings
- Rheumatic Diseases
- Research Design
- Reproducibility of Results
- Publishing
- Phenotype
- Periodicals as Topic
- Patient Selection
- Models, Genetic
- Humans
- Haplotypes
Citation
APA
Chicago
ICMJE
MLA
NLM
Huizinga, T. W. J., Pisetsky, D. S., & Kimberly, R. P. (2004). Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism. Arthritis Rheum, 50(7), 2066–2071. https://doi.org/10.1002/art.20360
Huizinga, Tom W. J., David S. Pisetsky, and Robert P. Kimberly. “Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism.” Arthritis Rheum 50, no. 7 (July 2004): 2066–71. https://doi.org/10.1002/art.20360.
Huizinga TWJ, Pisetsky DS, Kimberly RP. Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism. Arthritis Rheum. 2004 Jul;50(7):2066–71.
Huizinga, Tom W. J., et al. “Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism.” Arthritis Rheum, vol. 50, no. 7, July 2004, pp. 2066–71. Pubmed, doi:10.1002/art.20360.
Huizinga TWJ, Pisetsky DS, Kimberly RP. Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism. Arthritis Rheum. 2004 Jul;50(7):2066–2071.
Published In
Arthritis Rheum
DOI
ISSN
0004-3591
Publication Date
July 2004
Volume
50
Issue
7
Start / End Page
2066 / 2071
Location
United States
Related Subject Headings
- Rheumatic Diseases
- Research Design
- Reproducibility of Results
- Publishing
- Phenotype
- Periodicals as Topic
- Patient Selection
- Models, Genetic
- Humans
- Haplotypes