Results 11 to 20 of about 241,345 (301)
BTOB: Extending the Biased GWAS to Bivariate GWAS [PDF]
Frontiers in Genetics, 2021 In recent years, a number of literatures published large-scale genome-wide association studies (GWASs) for human diseases or traits while adjusting for other heritable covariate. However, it is known that these GWASs are biased, which may lead to biased genetic estimates or even false positives.
Zhu, Junxian +4 more
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Clinical Journal of the American Society of Nephrology, 2022 Background and objectives Glomerular hematuria has varied causes but can have a genetic basis, including Alport syndrome and IgA nephropathy. Design, setting, participants, & measurements We used summary statistics to identify genetic variants associated with hematuria in White ...
Sarah A. Gagliano Taliun +6 more
openaire +2 more sources
Reducing GWAS Complexity [PDF]
Cell Cycle, 2016 Genome-wide association studies (GWAS) have revealed numerous genomic 'hits' associated with complex phenotypes. In most cases these hits, along with surrogate genetic variation as measure by numerous single nucleotide polymorphisms (SNPs) that are in linkage disequilibrium, are not in coding genes making assignment of functionality or causality ...
Dennis J, Hazelett +8 more
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HAPPI GWAS: Holistic Analysis with Pre and Post Integration GWAS [PDF]
Bioinformatics, 2020 AbstractMotivationAdvanced publicly available sequencing data from large populations have enabled in-formative genome-wide association studies (GWAS) that associate SNPs with phenotypic traits of interest. Many publicly available tools able to perform GWAS have been developed in response to increased demand.
Marianne L Slaten +4 more
openaire +2 more sources
Beyond the coding genome: non-coding mutations and cancer
Frontiers in Bioscience-Landmark, 2020 Latest advancements in genomics involving individuals from different races and geographical locations has led to the identification of thousands of common as well as rare genetic variants and copy number variations (CNVs). These studies have surprisingly
Kaivalya Walavalkar, Dimple Notani
doaj +1 more source
G3: Genes, Genomes, Genetics, 2020 Bayesian regression methods that incorporate different mixture priors for marker effects are used in multi-trait genomic prediction. These methods can also be extended to genome-wide association studies (GWAS).
Zigui Wang +3 more
doaj +1 more source
Genome-Wide Association Analysis of Plant Height Using the Maize F1 Population
Plants, 2019 Drastic changes in plant height (PH) are observed when maize adapt to a higher plant density. Most importantly, PH is an important factor affecting maize yield.
Yong Zhang +4 more
doaj +1 more source
G3: Genes, Genomes, Genetics, 2019 One of the main pathogens affecting rainbow trout (Oncorhynchus mykiss) farming is the facultative intracellular bacteria Piscirickettsia salmonis. Current treatments, such as antibiotics and vaccines, have not had the expected effectiveness in field ...
Agustin Barria +6 more
doaj +1 more source
Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation. [PDF]
, 2019 Accumulating evidence from genome wide association studies (GWAS) suggests an abundance of shared genetic influences among complex human traits and disorders, such as mental disorders.
Andreassen, Ole A +11 more
core +3 more sources
Multiparental mapping of plant height and flowering time QTL in partially isogenic sorghum families. [PDF]
, 2014 Sorghum varieties suitable for grain production at temperate latitudes show dwarfism and photoperiod insensitivity, both of which are controlled by a small number of loci with large effects.
Assaranurak, I +3 more
core +1 more source