Results 51 to 60 of about 40,064,637 (293)

Nuclear RNA sequencing of the mouse erythroid cell transcriptome [PDF]

open access: yes, 2012
Copyright @ 2012 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source ...
Umlauf David   +39 more
core   +2 more sources

Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study. [PDF]

open access: yes, 2011
The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA.
Keating, BJ   +999 more
core   +2 more sources

Additional file 3 of Transcriptome-wide association study identifies new susceptibility genes and pathways for spondyloarthritis

open access: yes, 2023
Additional file 3: Table S1 Top genes selected by transcriptome-wide association study (TWAS ...
Menghao Teng (16939097)   +4 more
core   +1 more source

Transcriptome-wide association studies accounting for colocalization using Egger regression [PDF]

open access: yesGenetic Epidemiology, 2017
Abstract Integrating genome-wide association (GWAS) and expression quantitative trait locus (eQTL) data into transcriptome-wide association studies (TWAS) based on predicted expression can boost power to detect novel disease loci or pinpoint the susceptibility gene at a known disease locus.
Richard Barfield   +6 more
openaire   +3 more sources

Transcriptome-wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels

open access: yes, 2021
Sweet corn is consistently one of the most highly consumed vegetables in the U.S., providing a valuable opportunity to increase nutrient intake through biofortification.
University of Georgia (17856095)
core  

A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium [PDF]

open access: yes, 2011
Genome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease.
Marsit CJ   +934 more
core   +2 more sources

From Gene Expression to Transcriptome-wide Association Study: Development and Comparison of Methodology

open access: yesXiehe Yixue Zazhi
Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study ...
FANG Kun   +8 more
doaj   +1 more source

Integrating Genome-Wide Association Studies and Gene Expression Profiles With Chemical-Genes Interaction Networks to Identify Chemicals Associated With Colorectal Cancer

open access: yesFrontiers in Genetics, 2020
Colorectal cancer (CRC) is the third most common cancer and has the second highest mortality rate in global cancer. Exploring the associations between chemicals and CRC has great significance in prophylaxis and therapy of tumor diseases.
Xinyue Tan   +8 more
doaj   +1 more source

Identification and validation of novel risk genes for intervertebral disc disorder by integrating large-scale multi-omics analyses and experimental studies

open access: yesFrontiers in Medicine
IntroductionAlthough genome-wide association studies (GWAS) have identified multiple genetic loci linked to intervertebral disc disorder (IDD), their functional characterization remains largely unelucidated.
Zhe Zhang   +9 more
doaj   +1 more source

A transcriptome-wide association study provides new insights into the etiology of osteoarthritis

open access: yesAnnals of Translational Medicine, 2022
Osteoarthritis (OA) is a common clinical disease caused by a variety of factors, including genetic variants. Although genome-wide association studies (GWAS) have been performed to elucidate the genetic basis of OA, some loci of risk located in noncoding regions of the genome have been neglected.
Wang, Weiwei   +4 more
openaire   +2 more sources

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