✦ LIBER ✦

Candidate gene approach in genetic epidemiological studies of osteoarthritis-related pain

✍ Scribed by Bratus, Anna; Aeschlimann, Andre; Russo, Giancarlo; Sprott, Haiko

Book ID: 122898384
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 190 KB
Volume: 155
Category: Article
ISSN: 0304-3959
DOI: 10.1016/j.pain.2013.07.031

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Association study of the candidate gene

Association study of the candidate gene for knee osteoarthritis in Koreans

✍ Sung-Ji Lee, Mun-Ju Kim, Seung-Jung Kee, Sang-Kook Song… 📂 Article 📅 2011 🏛 Springer 🌐 English ⚖ 154 KB

Assessing the function of genetic varian

Assessing the function of genetic variants in candidate gene association studies

✍ Rebbeck, Timothy R.; Spitz, Margaret; Wu, Xifeng 📂 Article 📅 2004 🏛 Nature Publishing Group 🌐 English ⚖ 185 KB

Genetic linkage studies in autosomal dom

Genetic linkage studies in autosomal dominant parkinsonism: Evaluation of seven candidate genes

✍ Dr. T. Gasser; Z. K. Wszolek; J. Trofatter; L. Ozelius; R. J. Uitti; C. S. Lee; 📂 Article 📅 1994 🏛 John Wiley and Sons 🌐 English ⚖ 879 KB

Systems genetics approach reveals candid

Systems genetics approach reveals candidate genes for parasite resistance from quantitative trait loci studies in agricultural species

✍ B. L. Sayre; G. C. Harris 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 116 KB

83 ANALYSIS OF CANDIDATE OSTEOARTHRITIS

83 ANALYSIS OF CANDIDATE OSTEOARTHRITIS GENES IN A META-ANALYSIS OF 8 GENOME-WIDE ASSOCIATION STUDIES

✍ C. Rodriguez-Fontela; E. Evangelou; A. Valdes; M. Calaza; N.K. Arden; S. Bos; A. 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 381 KB

Comparison of approaches for machine-lea

Comparison of approaches for machine-learning optimization of neural networks for detecting gene-gene interactions in genetic epidemiology

✍ Alison A. Motsinger-Reif; Scott M. Dudek; Lance W. Hahn; Marylyn D. Ritchie 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 384 KB 👁 1 views

## Abstract The detection of genotypes that predict common, complex disease is a challenge for human geneticists. The phenomenon of epistasis, or gene‐gene interactions, is particularly problematic for traditional statistical techniques. Additionally, the explosion of genetic information makes exha