نتایج جستجو برای: wide association study

تعداد نتایج: 4492963  

Journal: :Statistics and its interface 2011
Jichun Xie T Tony Cai John Maris Hongzhe Li

This paper considers the problem of optimal false discovery rate control when the test statistics are dependent. An optimal joint oracle procedure, which minimizes the false non-discovery rate subject to a constraint on the false discovery rate is developed. A data-driven marginal plug-in procedure is then proposed to approximate the optimal joint procedure for multivariate normal data. It is s...

2014
Ian Johnston Luis E Carvalho

The primary goal of genome-wide association studies is to determine which genetic markers are associated with genetic traits, most commonly human diseases. As a result of the "large p, small n" nature of genome-wide association study data sets, and especially because of the collinearity due to linkage disequilibrium, multivariate regression results in an ill-posed problem. To overcome these obs...

2011
Marilyn C. Cornelis Keri L. Monda Kai Yu Nina Paynter Elizabeth M. Azzato Siiri N. Bennett Sonja I. Berndt Eric Boerwinkle Stephen Chanock Nilanjan Chatterjee David Couper Gary Curhan Gerardo Heiss Frank B. Hu David J. Hunter Kevin Jacobs Majken K. Jensen Peter Kraft Maria Teresa Landi Jennifer A. Nettleton Mark P. Purdue Preetha Rajaraman Eric B. Rimm Lynda M. Rose Nathaniel Rothman Debra Silverman Rachael Stolzenberg-Solomon Amy Subar Meredith Yeager Daniel I. Chasman Rob M. van Dam Neil E. Caporaso

We report the first genome-wide association study of habitual caffeine intake. We included 47,341 individuals of European descent based on five population-based studies within the United States. In a meta-analysis adjusted for age, sex, smoking, and eigenvectors of population variation, two loci achieved genome-wide significance: 7p21 (P = 2.4 × 10(-19)), near AHR, and 15q24 (P = 5.2 × 10(-14))...

Journal: :Journal of the American Statistical Association 2014
Yuan Jiang Ni Li Heping Zhang

Identifying replicable genetic variants for addiction has been extremely challenging. Besides the common difficulties with genome-wide association studies (GWAS), environmental factors are known to be critical to addiction, and comorbidity is widely observed. Despite the importance of environmental factors and comorbidity for addiction study, few GWAS analyses adequately considered them due to ...

2010
Hans-Hilger Ropers

In the early 1990s, when the second 5-year plan for the Human Genome Project-which requested more money than any previous research project in biology-was written, common disorders were presented as the future target of genome research. This was a clever move to ensure continued public support for this endeavor, which had been justified previously by the prospect that it would lead to the diagno...

2014
Andrzej Brodziak Piotr Z. Brewczyński

We are probably only at the beginning of the road leading to explanation of how some genetic variants can cause chronic disease. It seemed that the so-called “genome-wide association studies” (GWAS) would clarify this issue. Takahiro Yoshikawa et al., however, at the outset of their recent paper wrote that “most of these studies have only managed to explain a small additional percentage of here...

Journal: :British journal of haematology 2013
Stephan Menzel Chad Garner Helen Rooks Tim D Spector Swee Lay Thein

Using a genome-wide association study, we found that common inter-individual differences in haemoglobin A(2) (HbA(2) , α(2) δ(2) ) levels are largely governed by genetic factors (42% of variability). The influence of age (1%) and sex (4%) was small. HbA(2) levels were influenced by two loci: the HBS1L-MYB locus on chromosome 6q, which has been shown to have pleiotropic effects on other haemat...

2016
Mackenzie J. Lind Philip R. Gehrman

This review summarizes current research on the genetics of insomnia, as genetic contributions are thought to be important for insomnia etiology. We begin by providing an overview of genetic methods (both quantitative and measured gene), followed by a discussion of the insomnia genetics literature with regard to each of the following common methodologies: twin and family studies, candidate gene ...

Journal: :PLoS biology 2018
Greg Gibson

This primer provides some background to help non-specialists understand a new theoretical evolutionary genetics study that helps explain why thousands of variants of small effect contribute to complex traits.

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