A5056766520- Fibromyalgia and Chronic Fatigue Syndrome Research
- Genetic Neurodegenerative Diseases
- Medicinal Plants and Bioactive Compounds
- Genomics and Rare Diseases
- Mitochondrial Function and Pathology
- Genetic and Environmental Crop Studies
- Plant and animal studies
- Health, Environment, Cognitive Aging
- Endoplasmic Reticulum Stress and Disease
- Genetic diversity and population structure
- Biotechnology and Related Fields
- Viral Infections and Immunology Research
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological diseases and metabolism
Long COVID is a debilitating chronic condition that has affected over 100 million people globally. It characterized by diverse array of symptoms, including fatigue, cognitive dysfunction and respiratory problems. Studies have so far largely failed to identify genetic associations, the mechanisms behind disease, or any common pathophysiology with other conditions such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) present similar symptoms.We used combinatorial analysis...
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease that lacks known pathogenesis, distinctive diagnostic criteria, and effective treatment options. Understanding the genetic (and other) risk factors associated with would begin to help alleviate some of these issues for patients.
Abstract Background Long COVID is a major public health burden causing diverse array of debilitating symptoms in tens millions patients globally. In spite this overwhelming disease prevalence and staggering cost, its severe impact on patients’ lives intense global research efforts, study the has proved challenging due to complexity. Genome-wide association studies (GWAS) have identified only four loci potentially associated with disease, although these results did not statistically replicate...
We present a novel method for routinely identifying disease resilience associations that offers powerful insights the discovery of new class protective targets. show how this can be used to identify mechanisms in background normal cellular biology work slow or stop progression complex, chronic diseases. Actively combinatorial analysis identifies combinations features contribute reducing risk individuals who remain healthy even though their genomic profile suggests they have high developing...
Secondary contact between closely related taxa represents a “moment of truth” for speciation—an opportunity to test the efficacy reproductive isolation that evolved in allopatry and identify genetic, behavioral, and/or ecological barriers separate species sympatry. Sex chromosomes are known rapidly accumulate differences species, an effect may be exacerbated neo-sex transitioning from autosomal sex-specific inheritance. Here we report that, Solomon Islands, two bird honeyeater family—...
Abstract Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease that lacks known pathogenesis, distinctive diagnostic criteria, and effective treatment options. Understanding the genetic (and other) risk factors associated with would begin to help alleviate some of these issues for patients. Methods We applied both GWAS PrecisionLife combinatorial analytics platform analyze ME/CFS cohorts from UK Biobank, including Pain Questionnaire cohort,...
Abstract Background Long COVID is a debilitating chronic condition that has affected over 100 million people globally. It characterized by diverse array of symptoms, including fatigue, cognitive dysfunction and respiratory problems. Studies have so far largely failed to identify genetic associations, the mechanisms behind disease, or any common pathophysiology with other conditions such as ME/CFS present similar symptoms. Methods We used combinatorial analysis approach combinations variants...
Abstract Background Long COVID is a debilitating chronic condition that has affected over 100 million people globally. It characterized by diverse array of symptoms, including fatigue, cognitive dysfunction and respiratory problems. Studies have so far largely failed to identify genetic associations, the mechanisms behind disease, or any common pathophysiology with other conditions such as ME/CFS present similar symptoms. Methods We used combinatorial analysis approach combinations variants...
Abstract Secondary contact between closely related taxa represents a “moment of truth” for speciation. Removal geographic barriers allows us to test the strength reproductive isolation that evolved in allopatry and identify genetic, behavioral, and/or ecological separate species sympatry. Sex chromosomes are known rapidly accumulate differences species, an effect may be exacerbated neo-sex because they regions genome have recently become linked sex transitioning from autosomal sex-specific...
Abstract Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease that lacks known pathogenesis, distinctive diagnostic criteria, and effective treatment options. Understanding the genetic (and other) risk factors associated with would begin to help alleviate some of these issues for patients. Methods: We applied both GWAS PrecisionLife combinatorial analytics platform analyze ME/CFS cohorts from UK Biobank, including Pain Questionnaire...