Results 1 to 10 of about 430,562 (119)

Genome-Wide Association Study on Longitudinal Change in Fasting Plasma Glucose in Korean Population [PDF]

open access: yesDiabetes & Metabolism Journal, 2023
Background Genome-wide association studies (GWAS) on type 2 diabetes mellitus (T2DM) have identified more than 400 distinct genetic loci associated with diabetes and nearly 120 loci for fasting plasma glucose (FPG) and fasting insulin level to date ...
Heejin Jin   +6 more
doaj   +1 more source

Genome-Wide Association Study Identifies Loci Associated with Sensitive Skin

open access: yesCosmetics, 2020
Individuals suffering from sensitive skin often have other skin conditions and/or diseases, such as fair skin, freckles, rosacea, or atopic dermatitis. Genome-wide association studies (GWAS) have been performed for some of these conditions, but not for ...
Miranda A. Farage   +4 more
doaj   +1 more source

Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative

open access: yesGenome Medicine, 2022
Background Large medical centers in urban areas, like Los Angeles, care for a diverse patient population and offer the potential to study the interplay between genetic ancestry and social determinants of health.
Ruth Johnson   +25 more
doaj   +1 more source

H3AGWAS: a portable workflow for genome wide association studies

open access: yesBMC Bioinformatics, 2022
Background Genome-wide association studies (GWAS) are a powerful method to detect associations between variants and phenotypes. A GWAS requires several complex computations with large data sets, and many steps may need to be repeated with varying ...
Jean-Tristan Brandenburg   +6 more
doaj   +1 more source

A concise history of genome-wide association studies

open access: yesSaudi Journal of Medicine and Medical Sciences, 2013
Genome-wide association studies (GWASs) have had a tremendous impact on the pace of genomic research of common diseases. The number of identified genetic variants associated has grown exponentially. For some diseases, such as coronary heart disease (CHD),
Bobby P. C. Koeleman   +3 more
doaj   +1 more source

Pathway Analysis of Metabolic Syndrome Using a Genome-Wide Association Study of Korea Associated Resource (KARE) Cohorts [PDF]

open access: yesGenomics & Informatics, 2014
Metabolic syndrome (MetS) is a complex disorder related to insulin resistance, obesity, and inflammation. Genetic and environmental factors also contribute to the development of MetS, and through genome-wide association studies (GWASs), important ...
Unjin Shim   +3 more
doaj   +1 more source

Performance of epistasis detection methods in semi-simulated GWAS

open access: yesBMC Bioinformatics, 2018
Background Part of the missing heritability in Genome Wide Association Studies (GWAS) is expected to be explained by interactions between genetic variants, also called epistasis. Various statistical methods have been developed to detect epistasis in case-
Clément Chatelain   +3 more
doaj   +1 more source

An Analysis Pipeline for Genome-wide Association Studies

open access: yesCancer Informatics, 2008
We developed an efficient pipeline to analyze genome-wide association study single nucleotide polymorphism scan results. Perl scripts were used to convert genotypes called using the BRLMM algorithm into a modified PB format.
Stefan Stefanov   +2 more
doaj   +2 more sources

Genome-Wide Association Studies of Asthma

open access: yesAllergology International, 2011
Bronchial asthma is a common inflammatory disease caused by a combination of genetic and environmental factors. To discover the genes and cellular pathways underlying asthma, a large number of genetic studies have been conducted.
Mayumi Tamari   +2 more
doaj   +1 more source

Robust Gene-Gene Interaction Analysis in Genome Wide Association Studies. [PDF]

open access: yesPLoS ONE, 2015
Genome-wide association studies (GWAS) have successfully discovered hundreds of associations between genetic variants and complex traits. Most GWAS have focused on the identification of single variants.
Yongkang Kim, Taesung Park
doaj   +1 more source

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