AIMC Topic: Genetic Predisposition to Disease

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Predicting cancer risk using machine learning on lifestyle and genetic data.

Scientific reports
Cancer remains one of the leading causes of mortality worldwide, where early detection significantly improves patient outcomes and reduces treatment burden. This study investigates the application of Machine Learning (ML) techniques to predict cancer...

Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.

Nature communications
A substantial portion of lung cancer-associated genetic elements in East Asian populations remains unidentified, underscoring the need for large-scale genome-wide studies, particularly on non-coding regulation. We conducted a whole genome sequencing ...

Genetic analyses of eight complex diseases using predicted continuous representations of disease.

Cell reports methods
We evaluated whether predicted continuous disease representations could enhance genetic discovery beyond case-control genome-wide association study (GWAS) phenotypes across eight complex diseases in up to 485,448 UK Biobank participants. Predicted ph...

Machine learning in Alzheimer's disease genetics.

Nature communications
Traditional statistical approaches have advanced our understanding of the genetics of complex diseases, yet are limited to linear additive models. Here we applied machine learning (ML) to genome-wide data from 41,686 individuals in the largest Europe...

Decoding the molecular and cellular aspects of multiple sclerosis: From diagnosis to therapeutic strategies.

Brain research
Multiple sclerosis (MS) is a multifaceted, chronic neuroinflammatory condition of the central nervous system (CNS) marked by demyelination, gliosis, and axonal degradation. Despite the comprehensive investigation, the exact etiology remains unclear, ...

Identification of key genes as diagnostic biomarkers for IBD using bioinformatics and machine learning.

Journal of translational medicine
BACKGROUND: The pathogenesis of inflammatory bowel disease (IBD) involves complex molecular mechanisms, and achieving clinical remission remains challenging. This study aims to identify IBD-potential biomarkers, analyze their correlation with immune ...

Mitochondrial haplogroup A2 is associated with increased COVID-19 mortality in an admixed Brazilian population.

Scientific reports
Mitochondria play a crucial role in cellular respiration and immune responses. Mitochondrial DNA (mtDNA) haplogroups and variants have been associated with various diseases, including COVID-19. This study analyzed complete mtDNA sequences from 467 Br...

Exploration of shared pathogenic factors and causative genes in early-stage endometrial cancer and osteoarthritis.

Scientific reports
Osteoarthritis (OA) has been implicated in the development and progression of early-stage endometrial cancer (EC), suggesting shared pathogenic factors between the two diseases. This study aimed to investigate the causal relationship between OA and E...

Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases.

BMC endocrine disorders
The role of genetic susceptibility in early warning and precise treatment of diabetic kidney disease (DKD) requires further investigation. A case-control study was conducted to evaluate the predictive effect of GSK3B genetic polymorphisms on the susc...