Results 31 to 40 of about 2,467,569 (240)

Design efficiency in genetic association studies [PDF]

open access: yesStatistics in Medicine, 2020
Selecting the best design for genetic association studies requires careful deliberation; different study designs can be used to scan for different genetic effects, and each design has its own set of strengths and limitations. A variety of family and unrelated control configurations are amenable to genetic association analyses, including the case ...
Miriam Gjerdevik   +6 more
openaire   +6 more sources

Myopia genetics in genome-wide association and post-genome-wide association study era [PDF]

open access: yesInternational Journal of Ophthalmology, 2019
Genome-wide association studies (GWAS) of myopia and refractive error have generated exciting results and identified novel risk-associated loci. However, the interpretation of the findings of GWAS of complex diseases is not straightforward and has ...
Xuan Liao, Qing-Qing Tan, Chang-Jun Lan
doaj   +1 more source

Identification of potential key variants in mandibular premolar hypodontia through whole-exome sequencing

open access: yesFrontiers in Genetics, 2023
Determining genotype–phenotype correlations in patients with hypodontia is important for understanding disease pathogenesis, although only a few studies have elucidated it.
Shinyeop Lee   +6 more
doaj   +1 more source

Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium [PDF]

open access: yes, 2009
Under complete linkage disequilibrium (LD), robust tests often have greater power than Pearson's chi-square test and trend tests for the analysis of case-control genetic association studies.
Geller, Nancy   +4 more
core   +1 more source

AssocTests: An R Package for Genetic Association Studies

open access: yesJournal of Statistical Software, 2020
The R package AssocTests provides some procedures which are commonly used in genetic association studies. These procedures are population stratification correction through eigenvectors, principal coordinates of clusterings, Tracy-Widom test, distance ...
Lin Wang, Wei Zhang, Qizhai Li
doaj   +1 more source

Prospective genetic screening decreases the incidence of Abacavir hypersensitivity reactions in the Western Australian HIV cohort study [PDF]

open access: yes, 2005
Abacavir therapy is associated with significant drug hypersensitivity in ∼8% of recipients, with retrospective studies indicating a strong genetic association with the HLA-B*5701 allelle.
Almeida, C.   +5 more
core   +2 more sources

Validation in Genetic Association Studies [PDF]

open access: yesBriefings in Bioinformatics, 2011
Validation of genetic associations is understood to be a cornerstone for the scientific credibility of the results. To approach this topic, the general concept of genetic association studies is introduced briefly, followed by how the term 'validation' is used in the context of genetic association studies.
openaire   +2 more sources

Random Forests for Genetic Association Studies [PDF]

open access: yesStatistical Applications in Genetics and Molecular Biology, 2011
The Random Forests (RF) algorithm has become a commonly used machine learning algorithm for genetic association studies. It is well suited for genetic applications since it is both computationally efficient and models genetic causal mechanisms well. With its growing ubiquity, there has been inconsistent and less than optimal use of RF in the literature.
Benjamin A, Goldstein   +2 more
openaire   +2 more sources

Efficient inference for genetic association studies with multiple outcomes

open access: yes, 2017
Combined inference for heterogeneous high-dimensional data is critical in modern biology, where clinical and various kinds of molecular data may be available from a single study.
Davison, Anthony C.   +3 more
core   +1 more source

Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers [PDF]

open access: yes, 2007
Metabolomic profiling and the integration of whole-genome genetic association data has proven to be a powerful tool to comprehensively explore gene regulatory networks and to investigate the effects of genetic variation at the molecular level.
Mittelstrass, Kirstin   +17 more
core   +2 more sources

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