✦ LIBER ✦

Genome-wide association studies in ADHD

✍ Scribed by Barbara Franke; Benjamin M. Neale; Stephen V. Faraone

Publisher: Springer
Year: 2009
Tongue: English
Weight: 463 KB
Volume: 126
Category: Article
ISSN: 0340-6717
DOI: 10.1007/s00439-009-0663-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Machine learning in genome-wide associat

Machine learning in genome-wide association studies

✍ Silke Szymczak; Joanna M. Biernacka; Heather J. Cordell; Oscar González-Recio; I 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 109 KB 👁 1 views

Recently, genome-wide association studies have substantially expanded our knowledge about genetic variants that influence the susceptibility to complex diseases. Although standard statistical tests for each single-nucleotide polymorphism (SNP) separately are able to capture main genetic effects, dif

X chromosome association testing in geno

X chromosome association testing in genome wide association studies

✍ Peter F. Hickey; Melanie Bahlo 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 195 KB

Genome wide association studies (GWAS) have revealed many fascinating insights into complex diseases even from simple, single-marker statistical tests. Most of these tests are designed for testing of associations between a phenotype and an autosomal genotype and are therefore not applicable to X chr

Estimating Effect Sizes in Genome-Wide A

Estimating Effect Sizes in Genome-Wide Association Studies

✍ József Bukszár; Edwin J. C. G. van den Oord 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 333 KB

Biostatistical Aspects of Genome-Wide As

Biostatistical Aspects of Genome-Wide Association Studies

✍ Andreas Ziegler; Inke R. König; John R. Thompson 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 294 KB 👁 2 views

Genome-wide association studies for disc

Genome-wide association studies for discrete traits

✍ Duncan C. Thomas 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 91 KB 👁 2 views

## Abstract Genome‐wide association studies of discrete traits generally use simple methods of analysis based on χ^2^ tests for contingency tables or logistic regression, at least for an initial scan of the entire genome. Nevertheless, more power might be obtained by using various methods that anal

Risk prediction using genome-wide associ

Risk prediction using genome-wide association studies

✍ Charles Kooperberg; Michael LeBlanc; Valerie Obenchain 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 299 KB 👁 1 views

## Abstract Over the last few years, many new genetic associations have been identified by genome‐wide association studies (GWAS). There are potentially many uses of these identified variants: a better understanding of disease etiology, personalized medicine, new leads for studying underlying biolo