Results 81 to 90 of about 654,837 (328)

SZDB: A Database for Schizophrenia Genetic Research [PDF]

open access: yesSchizophrenia Bulletin, 2016
Schizophrenia (SZ) is a debilitating brain disorder with a complex genetic architecture. Genetic studies, especially recent genome-wide association studies (GWAS), have identified multiple variants (loci) conferring risk to SZ. However, how to efficiently extract meaningful biological information from bulk genetic findings of SZ remains a major ...
Xiong-Jian Luo   +3 more
openaire   +3 more sources

Cellular liquid biopsy provides unique chances for disease monitoring, preclinical model generation and therapy adjustment in rare salivary gland cancer patients

open access: yesMolecular Oncology, EarlyView.
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić   +31 more
wiley   +1 more source

Computer Security Risks of Distant Relative Matching in Consumer Genetic Databases [PDF]

open access: yesarXiv, 2018
Consumer genetic testing has become immensely popular in recent years and has lead to the creation of large scale genetic databases containing millions of dense autosomal genotype profiles. One of the most used features offered by genetic databases is the ability to find distant relatives using a technique called relative matching (or DNA matching ...
arxiv  

The role of the genetic counsellor: a systematic review of research evidence [PDF]

open access: yes
In Europe, genetic counsellors are employed in specialist genetic centres or other specialist units. According to the European Board of Medical Genetics, the genetic counsellor must fulfil a range of roles, including provision of information and ...
B Meiser   +27 more
core   +1 more source

The promise of human genetic databases [PDF]

open access: yesBMJ, 2001
Genetic databases are now helping elucidate gene function, estimate the prevalence of genes in populations, differentiate among subtypes of diseases, trace how genes may predispose to or protect against illnesses, and improve medical intervention. They achieve this by bringing together several streams of data about individuals: molecular genetic data ...
openaire   +2 more sources

Is it time for a universal genetic forensic database? [PDF]

open access: yesScience, 2018
Bias and privacy concerns cloud police use of ...
Bradley A. Malin   +6 more
openaire   +3 more sources

Combined spatially resolved metabolomics and spatial transcriptomics reveal the mechanism of RACK1‐mediated fatty acid synthesis

open access: yesMolecular Oncology, EarlyView.
The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu   +3 more
wiley   +1 more source

Genotator: A disease-agnostic tool for genetic annotation of disease

open access: yesBMC Medical Genomics, 2010
Background Disease-specific genetic information has been increasing at rapid rates as a consequence of recent improvements and massive cost reductions in sequencing technologies.
Jung Jae-Yoon   +6 more
doaj   +1 more source

Driving mosaicism: somatic variants in reference population databases and effect on variant interpretation in rare genetic disease

open access: yesHuman Genomics, 2021
Background Genetic variation databases provide invaluable information on the presence and frequency of genetic variants in the ‘untargeted’ human population, aggregated with the primary goal to facilitate the interpretation of clinically important ...
Vladimir Avramović   +3 more
doaj   +1 more source

Improving the Evolutionary Coding for Machine Learning Tasks [PDF]

open access: yes, 2002
The most influential factors in the quality of the solutions found by an evolutionary algorithm are a correct coding of the search space and an appropriate evaluation function of the potential solutions.
Aguilar Ruiz, Jesús Salvador   +2 more
core  

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