Anna Murray

Dr. Anna Murray


Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 October 2015 in Nature Communications
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MPMarjolein J. Peters
Marjolein J. Peters
RJRoby Joehanes
Roby Joehanes
LPLuke Pilling
Luke Pilling
CSClaudia Schurmann
Claudia Schurmann
KCKaren N. Conneely
Karen N. Conneely
AJAndrew D. Johnson
Andrew D. Johnson
Disease incidences increase with age, but the molecular characteristics of ageing that lead to increased disease susceptibility remain inadequately understood. Here we perform a whole-blood gene expression meta-analysis in 14,983 individuals of European ancestry (including replication) and identify 1,497 genes that are differentially expressed with chronological age. The age-associated genes do not harbor more age-associated CpG-methylation sites than other genes, but are instead enriched for the presence of potentially functional CpG-methylation sites in enhancer and insulator regions that associate with both chronological age and gene expression levels. We further used the gene expression profiles to calculate the ‘transcriptomic age’ of an individual, and show that differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index. The transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models, and can be used by others to calculate transcriptomic age in external cohorts.

29 January 2019 in Nature Communications
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SJSamuel E. Jones
Samuel E. Jones
JLJacqueline M. Lane
Jacqueline M. Lane
AWAndrew R. Wood
Andrew R. Wood
VHVincent Van Hees
Vincent Van Hees
JTJessica Tyrrell
Jessica Tyrrell
MWMichael N. Weedon
Michael N. Weedon
Being a morning person is a behavioural indicator of a person’s underlying circadian rhythm. Using genome-wide data from 697,828 UK Biobank and 23andMe participants we increase the number of genetic loci associated with being a morning person from 24 to 351. Using data from 85,760 individuals with activity-monitor derived measures of sleep timing we find that the chronotype loci associate with sleep timing: the mean sleep timing of the 5% of individuals carrying the most morningness alleles is 25 min earlier than the 5% carrying the fewest. The loci are enriched for genes involved in circadian regulation, cAMP, glutamate and insulin signalling pathways, and those expressed in the retina, hindbrain, hypothalamus, and pituitary. Using Mendelian Randomisation, we show that being a morning person is causally associated with better mental health but does not affect BMI or risk of Type 2 diabetes. This study offers insights into circadian biology and its links to disease in humans.

23 July 2014 in Nature
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ASAustralian Ovarian Cancer Study
Australian Ovarian Cancer Study
JPJohn R. B. Perry
John R. B. Perry
TNThe Genica Network
The Genica Network
KFk Con Fab
k Con Fab
TSThe LifeLines Cohort Study
The LifeLines Cohort Study
KOKen K. Ong
Ken K. Ong
Here 106 genomic loci associated with age at menarche, a marker of puberty timing in females, are identified; these loci show enrichment for genes involved in nuclear hormone receptor function, body mass index, and rare disorders of puberty, and for genes located in imprinted regions, with parent-of-origin specific effects at several loci. The age at which females first experience menstruation, called menarche, is a heritable trait associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and general mortality. This large-scale genome-wide association study identifies 123 signals at 106 genomic loci associated with age at menarche. New findings include parent-of-origin-specific allelic associations (both maternally and paternally driven) at three imprinted loci and the implication of retinoic acid and GABAB receptor II signalling and lysine-specific histone demethylation. These data bring new insights into the genetic architecture of puberty timing and suggest a model involving thousands of genetic variants. Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality1. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation2,3, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10−8) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.

1 May 2019 in Nature Genetics
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ECEGG Consortium
EGG Consortium
NWNicole M. Warrington
Nicole M. Warrington
RBRobin N. Beaumont
Robin N. Beaumont
MHMomoko Horikoshi
Momoko Horikoshi
FDFelix R. Day
Felix R. Day
RFRachel M. Freathy
Rachel M. Freathy

24 April 2017 in Nature Genetics
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Journal Article
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TSThe LifeLines Cohort Study
The LifeLines Cohort Study
FDFelix R Day
Felix R Day
TCThe InterAct Consortium
The InterAct Consortium
KIkConFab/AOCS Investigators
kConFab/AOCS Investigators
ECEndometrial Cancer Association Consortium
Endometrial Cancer Association Consortium
JPJohn R B Perry
John R B Perry

18 June 2015 in Scientific Reports
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Journal Article
Open access
FDFelix R Day
Felix R Day
CECathy E Elks
Cathy E Elks
AMAnna Murray
Anna Murray
KOKen Ong
Ken Ong
JPJohn R.B. Perry
John R.B. Perry
Early puberty timing is associated with higher risks for type 2 diabetes (T2D) and cardiovascular disease in women and therefore represents a potential target for early preventive interventions. We characterised the range of diseases and other adverse health outcomes associated with early or late puberty timing in men and women in the very large UK Biobank study. Recalled puberty timing and past/current diseases were self-reported by questionnaire. We limited analyses to individuals of White ethnicity (250,037 women; 197,714 men) and to disease outcomes with at least 500 cases (~0·2% prevalence) and we applied stringent correction for multiple testing (corrected threshold P < 7.48 × 10–5). In models adjusted for socioeconomic position and adiposity/body composition variables, both in women and men separately, earlier puberty timing was associated with higher risks for angina, hypertension and T2D. Furthermore, compared to the median/average group, earlier or later puberty timing in women or men was associated with higher risks for 48 adverse outcomes, across a range of cancers, cardio-metabolic, gynaecological/obstetric, gastrointestinal, musculoskeletal and neuro-cognitive categories. Notably, both early and late menarche were associated with higher risks for early natural menopause in women. Puberty timing in both men and women appears to have a profound impact on later health.