Results 81 to 90 of about 6,310 (247)

Toward “Obesityomics”: Domain‐Specific Omics in Precision Obesity Medicine with a Brief AI Perspective

Obesity Reviews, EarlyView.
ABSTRACT Background Obesity's global rise has outpaced the effectiveness of “one‐size‐fits‐all” prevention and treatment strategies. The promise of precision medicine lies in addressing the etiological and biological diversity of obesity and transforming it into actionable endotypes.
Nadia Abu Samra, Sara G. I. Suliman, Mohammed Al‐Hadad, Dorret I. Boomsma, Fadwa Alhantoobi, Maithah Alsamahi, Haneen Abufarajallah, Alia Al Tikriti, Zeyar Aung, Selena Richards, Abdulrahim Sajini, Mira Mousa, Fatima Sulaiman, Wael Osman   +13 more
wiley   +1 more source

A Compendium of Age-Related PheWAS and GWAS Traits for Human Genetic Association Studies, Their Networks and Genetic Correlations

Frontiers in Genetics, 2021
The rich data from the genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS) offer an unprecedented opportunity to identify the biological underpinnings of age-related disease (ARD) risk and multimorbidity.
Seungsoo Kim, Adam D. Hudgins, Brenda Gonzalez, S. Milman, N. Barzilai, J. Vijg, Z. Tu, Y. Suh   +7 more
semanticscholar   +1 more source

QQ plots of PHESANT MR-pheWAS results.

, 2019
Green dashed: Bonferroni corrected threshold; Red dash-dotted: 5% false discovery rate (FDR) threshold; Blue dotted: Expected = Actual; Purple points: results of tests performed: a) P-values of tests of interaction in GxE MR-pheWAS, and b) P-values of ...
Marcus R. Munafò (7610042), George Davey Smith (7180727), Louise A. C. Millard (6288416), Robyn E. Wootton (6400316), Kate Tilling (213507)   +4 more
core   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Examining genotype-phenotype associations of GRAM domain proteins using GWAS, PheWAS and literature review in cattle, human, pig, mouse and chicken

Scientific Reports
The GRAMD genes are involved in maintaining cholesterol homeostasis, apoptosis, cancer and production traits in livestock. A lipid-binding GRAM domain is implicated in lipid transport and metabolism.
T. Kunej, M. Šimon, B. Luštrek, S. Horvat, K. Potočnik   +4 more
semanticscholar   +1 more source

"B2_ALL" PRS PheWAS Meta-Analysis Results for EUR Ancestry, Unadjusted for BMI.

, 2023
"B2_ALL" PRS PheWAS Meta-Analysis Results for EUR Ancestry, Unadjusted for BMI.
Ritoban Kundu (10937289), Stephen Burgess (3368630), Bhramar Mukherjee (90346), Maxwell Salvatore (6836702), Xu Shi (216330), Seunggeun Lee (741906), Lars G. Fritsche (9046596), Kisung Nam (17675388), Jiacong Du (12035845)   +8 more
core   +1 more source

NETMAGE: a humaN-disEase phenoType MAp GEnerator for the Visualization of PheWAS [PDF]

, 2020
Abstract Summary Given genetic associations from a PheWAS, a disease-disease network can be constructed where nodes represent phenotypes and edges represent shared genetic associations between phenotypes. To improve the accessibility of the visualization of shared genetic components across phenotypes,
Vivek Sriram, Manu Shivakumar, Sang-Hyuk Jung, Lisa Bang, Anurag Verma, Seunggeun Lee, Eun Kyung Choe, Dokyoon Kim   +7 more
openaire   +1 more source

PTGES2 and RNASET2 identified as novel potential biomarkers and therapeutic targets for basal cell carcinoma: insights from proteome-wide mendelian randomization, colocalization, and MR-PheWAS analyses

Frontiers in Pharmacology
Introduction Basal cell carcinoma (BCC) is the most common skin cancer, lacking reliable biomarkers or therapeutic targets for effective treatment. Genome-wide association studies (GWAS) can aid in identifying drug targets, repurposing existing drugs ...
Qiu-Ju Han, Yi-Pan Zhu, Jing Sun, Xin-Yu Ding, Xiu-Jie Wang, Qiang-Zhe Zhang   +5 more
semanticscholar   +1 more source

PHEWAS LD SNPs

, 2019
<p>List of SNPs associated with multiple phenotypes in PHEWAS catalog in strong LD (r^2 > 0.8) with <em>Prakriti d</em>ifferentiating SNPs in North and Vadu cohorts </p ...
Debasis Dash (118203), Mitali Mukerji, Tahseen Abbas (7335149), Mitali Mukerji (389361), Bhavana Prasher (3465059), Tahseen Abbas, Debasis Dash, Bhavana Prasher   +7 more
core   +1 more source

"B1_ALL" PRS PheWAS Meta-Analysis Results for EUR Ancestry, Adjusted for BMI.

, 2023
"B1_ALL" PRS PheWAS Meta-Analysis Results for EUR Ancestry, Adjusted for BMI.
Ritoban Kundu (10937289), Stephen Burgess (3368630), Bhramar Mukherjee (90346), Maxwell Salvatore (6836702), Xu Shi (216330), Seunggeun Lee (741906), Lars G. Fritsche (9046596), Kisung Nam (17675388), Jiacong Du (12035845)   +8 more
core   +1 more source