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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

Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants.

  • Reka Nagy‎ et al.
  • Genome medicine‎
  • 2017‎

The Generation Scotland: Scottish Family Health Study (GS:SFHS) is a family-based population cohort with DNA, biological samples, socio-demographic, psychological and clinical data from approximately 24,000 adult volunteers across Scotland. Although data collection was cross-sectional, GS:SFHS became a prospective cohort due to of the ability to link to routine Electronic Health Record (EHR) data. Over 20,000 participants were selected for genotyping using a large genome-wide array.


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.


Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles.

  • Rosie M Walker‎ et al.
  • Genome medicine‎
  • 2021‎

The apolipoprotein E (APOE) ε4 allele is the strongest genetic risk factor for late onset Alzheimer's disease, whilst the ε2 allele confers protection. Previous studies report differential DNA methylation of APOE between ε4 and ε2 carriers, but associations with epigenome-wide methylation have not previously been characterised.


Refining epigenetic prediction of chronological and biological age.

  • Elena Bernabeu‎ et al.
  • Genome medicine‎
  • 2023‎

Epigenetic clocks can track both chronological age (cAge) and biological age (bAge). The latter is typically defined by physiological biomarkers and risk of adverse health outcomes, including all-cause mortality. As cohort sample sizes increase, estimates of cAge and bAge become more precise. Here, we aim to develop accurate epigenetic predictors of cAge and bAge, whilst improving our understanding of their epigenomic architecture.


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