AIMC Topic: Quantitative Trait Loci

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Multi-omics Mendelian randomization and machine learning identify candidate therapeutic targets for Alzheimer's and Parkinson's diseases.

Mammalian genome : official journal of the International Mammalian Genome Society
Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), are major public health challenges lacking effective therapies. To identify potential drug targets, we integrated large-scale genome-wide association ...

ML-MAGES enables multivariate genetic association analyses with genes and effect size shrinkage.

Genome research
A fundamental goal of genetics is to identify which and how genetic variants are associated with a trait, often using the regression results from genome-wide association (GWA) studies. Important methodological challenges account for inflation in GWA ...

DNALONGBENCH: a benchmark suite for long-range DNA prediction tasks.

Nature communications
Modeling long-range DNA dependencies is crucial for understanding genome structure and function across diverse biological contexts. However, effectively capturing these dependencies, which may span millions of base pairs in tasks such as three-dimens...

Multiomic insights into sucrose accumulation in sugarcane.

Plant molecular biology
Sugarcane holds significant economic importance in sugar and biofuel production. Despite extensive research, understanding highly quantitative traits remains challenging due to its complex genomic landscape. We conducted a multiomic investigation to ...

Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age.

Proceedings of the National Academy of Sciences of the United States of America
Histological images offer a wealth of data. Mining these data holds significant potential for enhancing disease diagnosis and prognosis, though challenges remain, especially in noncancer contexts. In this study, we developed a statistical framework t...

Exploring the role of cytochrome P450 family 1 subfamily B member 1 and quercetin in modulating neuropathic pain after spinal cord injury.

Molecular medicine reports
Spinal cord injury (SCI) represents a notable global health challenge, with neuropathic pain (NP) being a common complication that intensifies patient suffering. Existing research tends to overlook the temporal aspects of NP and fails to offer target...

Single-cell RNA sequencing and Mendelian randomization, revealing molecular mechanisms and causal correlation of immune-related genes in periodontitis.

Scientific reports
The immune system has been linked to periodontitis risk in oral inflammation and systemic consequences. Specifically, this study investigated whether hub genes were associated with immune cells via integrating single-cell RNA sequencing (scRNA-seq) a...

Next-generation translational genomics for developing future crops.

Functional & integrative genomics
Advancements in translational genomics have revolutionized crop breeding, driving us from traditional breeding methods towards next-generation strategies that integrate genomic, transcriptomic, and phenotypic data to expedite crop improvement. There ...

Recent advances in breeding systems and their improvement in forage crops.

Molecular biology reports
Fodder crops are crops which are mainly grown as feed for livestocks and it consist of a variety of crops ranging from annual to perennial crops. Even with many crops involved, advance crop improvement practices are done less in these crops. With the...