Results 91 to 100 of about 4,302,850 (309)

Bias in estimates of variance components in populations undergoing genomic selection: a simulation study

open access: yesBMC Genomics, 2019
Background After the extensive implementation of genomic selection (GS), the choice of the statistical model and data used to estimate variance components (VCs) remains unclear.
Hongding Gao   +5 more
doaj   +1 more source

Understanding the potential bias of variance components estimators when using genomic models

open access: yesGenetics Selection Evolution, 2018
Background Genomic models that link phenotypes to dense genotype information are increasingly being used for infering variance parameters in genetics studies.
Beatriz C. D. Cuyabano   +2 more
doaj   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

A Powerful New Quantitative Genetics Platform, Combining Caenorhabditis elegans High-Throughput Fitness Assays with a Large Collection of Recombinant Strains

open access: yesG3: Genes, Genomes, Genetics, 2015
The genetic variants underlying complex traits are often elusive even in powerful model organisms such as Caenorhabditis elegans with controlled genetic backgrounds and environmental conditions.
Erik C. Andersen   +7 more
semanticscholar   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

open access: yesMolecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts   +8 more
wiley   +1 more source

MAPPING GENES FOR QUANTITATIVE TRAITS USING SELECTED SAMPLES OF SIBLING PAIRS [PDF]

open access: yes, 2004
One of the most important research areas in human genetics is the effort to map genes associated with complex diseases such as cancer, heart disease, and diabetes.
Szatkiewicz, Jin Peng
core  

Quantitative Genetics of Migration-Related Traits in Rainbow and Steelhead Trout

open access: yesG3: Genes, Genomes, Genetics, 2015
Rainbow trout (Oncorhynchus mykiss) exhibit remarkable life history diversity throughout their native range, and among the most evident is variation in migratory propensity.
Benjamin C. Hecht   +3 more
semanticscholar   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira   +14 more
wiley   +1 more source

Natural selection. IV. The Price equation

open access: yes, 2012
The Price equation partitions total evolutionary change into two components. The first component provides an abstract expression of natural selection. The second component subsumes all other evolutionary processes, including changes during transmission ...
Frank, Steven A.
core   +1 more source

Emerging role of ARHGAP29 in melanoma cell phenotype switching

open access: yesMolecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy