Results 91 to 100 of about 41,823,825 (180)

Proteome-wide Mendelian randomization identifies therapeutic targets for ankylosing spondylitis

open access: yesFrontiers in Immunology
BackgroundAnkylosing Spondylitis (AS) is a chronic inflammatory disorder which can lead to considerable pain and disability. Mendelian randomization (MR) has been extensively applied for repurposing licensed drugs and uncovering new therapeutic targets ...
Wenlong Zhao   +9 more
doaj   +1 more source

Philosophy of phenomic prediction and its incompatibility with causal inference

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann   +2 more
wiley   +1 more source

Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative

open access: yes, 2017
Health systems are stewards of patient electronic health record (EHR) data with extraordinarily rich depth and breadth, reflecting thousands of diagnoses and exposures.
Gonçalo R. Abecasis   +10 more
core   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia   +17 more
wiley   +1 more source

Phenome-wide association study using research participants' self-reported data provides insight into the Th17 and IL-17 pathway. [PDF]

open access: yes, 2017
A phenome-wide association study of variants in genes in the Th17 and IL-17 pathway was performed using self-reported phenotypes and genetic data from 521,000 research participants of 23andMe.
Mathias N. Chiano   +43 more
core   +2 more sources

Genomic characterization of plant height and lodging in spring oat (Avena sativa L.) using time‐series aerial sensor data

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant height is one of the key economic traits in spring oat (Avena sativa L.) and a major determinant of lodging, and consequently, yield potential. Understanding the genetic basis of the variation in plant height can significantly benefit plant improvement efforts.
Afrina Rahman   +6 more
wiley   +1 more source

Phenomic landscape and pharmacogenomic implications for HLA region in a Taiwan Han Chinese population

open access: yesBiomarker Research
Background The human leukocyte antigen (HLA) genes, exhibiting significant genetic diversity, are associated with susceptibility to various clinical diseases and diverse in drug responses.
Wan-Hsuan Chou   +5 more
doaj   +1 more source

Harvest Time Influences Inulin and Phenolic Accumulation of Globe Artichoke (Cynara cardunculus L.)

open access: yesFood Science &Nutrition, Volume 14, Issue 11, November 2026.
Globe artichoke heart fructans were positively correlated with solar radiation exposure while phenolics were negatively correlated. Browning was positively correlated with phenolics, especially dicaffeoylquinic acid isomer. Artichoke hearts with high phenolic contents had higher CIE b* values (yellowness).
Andrew Tilley   +8 more
wiley   +1 more source

Intersection of rare pathogenic variants from TCGA in the All of Us Research Program v6

open access: yesHGG Advances
Summary: Using rare cancer predisposition alleles derived from The Cancer Genome Atlas (TCGA) and high cancer prevalence (14% of participants) in All of Us (version 6), we assessed the impact of these rare alleles on cancer occurrence in six broad groups
Blaine A. Bates   +7 more
doaj   +1 more source

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