Results 101 to 110 of about 188,588 (300)
Advanced Science, EarlyView.We analyzed long‐read genomic sequencing data obtained from 40 inbred mouse strains to produce a large database of structural variants. This dataset captures the major types of structural variants, which includes deletions, insertions, duplications, and inversions.
Wenlong Ren +6 more
wiley +1 more source
Rice, 2019 Background Salinity-alkalinity stress is one of the major factors limiting rice production. The damage caused by alkaline salt stress to rice growth is more severe than that caused by neutral salt stress.
Ning Li +9 more
doaj +1 more source
Reply to “Comment on ‘De Novo Reconstruction of 3D Human Facial Images From DNA Sequence’”
Advanced Science, EarlyView.ABSTRACT This manuscript is a formal response to the Comment by Wagner et al. regarding our publication “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence.” We clarify the methodological rationale, analytical procedures, and scientific scope of our original study, and we address several misconceptions arising in the Comment. We further
Mingqi Jiao +4 more
wiley +1 more source
Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs
Advanced Science, EarlyView.Integrated multi‐omics across pig breeds and tissues reveals key principles of post‐transcriptional translational regulation and their contribution to trait formation. A gene network framework integrating transcriptomic and translatomic data is developed and applied to elucidate the genetic basis of meat production, offering new insights into mammalian
Chao Wang +13 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Genome-wide association study identifies _FUT8_ and _ESR2_ as co-regulators of a bi-antennary N-linked glycan A2 (GlcNAc~2~Man~3~GlcNAc~2~) in human plasma proteins [PDF]
, 2009 HPLC analysis of N-glycans quantified levels of the biantennary glycan (A2) in plasma proteins of 924 individuals. Subsequent genome-wide association study (GWAS) using 317,503 single nucleotide polymorphysms (SNP) identified two genetic loci influencing
Alan F. Wright +14 more
core +1 more source
American Journal of Botany, EarlyView.Abstract Interpretations of evolutionary outcomes are limited without incorporation of physiological ecology, and ecophysiological interpretations would benefit from incorporating evolutionary perspectives. Although there has been a rise of studies in the last 20 years between these fields, evolutionary studies that incorporate plant physiology have ...
Haley A. Branch
wiley +1 more source
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.ABSTRACT In Attention Deficit Hyperactivity Disorder (ADHD), methylphenidate is one of the most widely used drugs, in which patient response significantly impacts prognosis. This study aimed to characterize the molecular profile of 10 genes associated with methylphenidate therapy.
Aline Pasquini Santos +14 more
wiley +1 more source
Schizophrenia Genetics Modulates Clinical Depressive Features
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.ABSTRACT Schizophrenia (SCZ) genetic liability, quantified by polygenic scores (PGS), may influence clinical phenotypes in major depressive disorder (MDD). We investigated the effect of the SCZ‐PGS derived from the latest SCZ genome‐wide association study (GWAS) on MDD symptom severity, comorbidities, and treatment outcomes.
Alessandro Serretti +13 more
wiley +1 more source