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This service exclusively searches for literature that cites resources. Please be aware that the total number of searchable documents is limited to those containing RRIDs and does not include all open-access literature.

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On page 1 showing 1 ~ 4 papers out of 4 papers

Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1.

  • Restuadi Restuadi‎ et al.
  • Genome medicine‎
  • 2022‎

Amyotrophic lateral sclerosis (ALS) is a complex, late-onset, neurodegenerative disease with a genetic contribution to disease liability. Genome-wide association studies (GWAS) have identified ten risk loci to date, including the TNIP1/GPX3 locus on chromosome five. Given association analysis data alone cannot determine the most plausible risk gene for this locus, we undertook a comprehensive suite of in silico, in vivo and in vitro studies to address this.


An epigenome-wide association study of sex-specific chronological ageing.

  • Daniel L McCartney‎ et al.
  • Genome medicine‎
  • 2019‎

Advanced age is associated with cognitive and physical decline and is a major risk factor for a multitude of disorders. There is also a gap in life expectancy between males and females. DNA methylation differences have been shown to be associated with both age and sex. Here, we investigate age-by-sex differences in blood-based DNA methylation in an unrelated cohort of 2586 individuals between the ages of 18 and 87 years, with replication in a further 4450 individuals between the ages of 18 and 93 years.


Genotype effects contribute to variation in longitudinal methylome patterns in older people.

  • Qian Zhang‎ et al.
  • Genome medicine‎
  • 2018‎

DNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals.


Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults.

  • Robert F Hillary‎ et al.
  • Genome medicine‎
  • 2020‎

The molecular factors which control circulating levels of inflammatory proteins are not well understood. Furthermore, association studies between molecular probes and human traits are often performed by linear model-based methods which may fail to account for complex structure and interrelationships within molecular datasets.


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