✦ LIBER ✦

Meta-analysis of two genome-wide association studies of bipolar disorder reveals important points of agreement

✍ Scribed by Baum, A E; Hamshere, M; Green, E; Cichon, S; Rietschel, M; Noethen, M M; Craddock, N; McMahon, F J

Book ID: 109889853
Publisher: Nature Publishing Group
Year: 2008
Tongue: English
Weight: 66 KB
Volume: 13
Category: Article
ISSN: 1359-4184
DOI: 10.1038/mp.2008.16

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Meta-analysis of genome-wide association

Meta-analysis of genome-wide association data of bipolar disorder and major depressive disorder

✍ Liu, Y; Blackwood, D H; Caesar, S; de Geus, E J C; Farmer, A; Ferreira, M A R; F 📂 Article 📅 2010 🏛 Nature Publishing Group 🌐 English ⚖ 214 KB

Imputation aware meta-analysis of genome

Imputation aware meta-analysis of genome-wide association studies

✍ Noah Zaitlen; Eleazar Eskin 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 280 KB 👁 2 views

## Abstract Genome‐wide association studies have recently identified many new loci associated with human complex diseases. These newly discovered variants typically have weak effects requiring studies with large numbers of individuals to achieve the statistical power necessary to identify them. Lik

Meta-analysis of sex-specific genome-wid

Meta-analysis of sex-specific genome-wide association studies

✍ Reedik Magi; Cecilia M. Lindgren; Andrew P. Morris 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 212 KB 👁 2 views

Despite the success of genome-wide association studies, much of the genetic contribution to complex human traits is still unexplained. One potential source of genetic variation that may contribute to this “missing heritability” is that which differs in magnitude and/or direction between males and fe

Meta-analysis of genome-wide association

Meta-analysis of genome-wide association studies for personality

✍ de Moor, M H M; Costa, P T; Terracciano, A; Krueger, R F; de Geus, E J C; Toshik 📂 Article 📅 2010 🏛 Nature Publishing Group 🌐 English ⚖ 577 KB

Optimal methods for meta-analysis of gen

Optimal methods for meta-analysis of genome-wide association studies

✍ Baiyu Zhou; Jianxin Shi; Alice S. Whittemore 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 168 KB 👁 2 views

Meta-analysis of genome-wide association studies involves testing single nucleotide polymorphisms (SNPs) using summary statistics that are weighted sums of site-specific score or Wald statistics. This approach avoids having to pool individual-level data. We describe the weights that maximize the pow

Meta-analysis of new genome-wide associa

Meta-analysis of new genome-wide association studies of colorectal cancer risk

✍ Ulrike Peters; Carolyn M. Hutter; Li Hsu; Fredrick R. Schumacher; David V. Conti 📂 Article 📅 2011 🏛 Springer 🌐 English ⚖ 421 KB