How to deal with the early GWAS data when imputing and combining different arrays is necessary

Nature·Dec 21

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Researchers are exploring the use of genome-wide association studies (GWAS) to analyze various conditions and traits, including depression, autism, alzheimer's, and plant development. The studies involve examining genetic data from different groups and ages to identify potential genetic architectures and risk factors. The findings may have implications for understanding the underlying biology of these conditions and traits, although the specific outcomes and applications of the research are not yet clear.

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Genome-wide association analyses identify distinct genetic architectures for early-onset and late-onset depression

Nature·Nov 13

Polygenic and developmental profiles of autism differ by age at diagnosis

Nature·Oct 1

Novel early-onset Alzheimer-associated genes influence risk through dysregulation of glutamate, immune activation, and intracellular signaling pathways

Wiley & Sons·Jun 24

Longitudinal genome-wide association study reveals early QTL that predict biomass accumulation under cold stress in sorghum

Frontiers·May 14

Twenty years of genome-wide association studies: Health translation challenges and AI opportunities

Nature·Oct 14

Genome-wide association meta-analysis of age at onset of walking in over 70,000 infants of European ancestry

Nature·May 7

A framework for conducting GWAS using repeated measures data with an application to childhood BMI

Nature·Nov 20

Genome-wide association study (GWAS) analyses of early anatomical changes in rose adventitious root formation

Nature·Oct 23

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