Faisal I Rezwan

Dr. Faisal I Rezwan

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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6 September 2021 in Nature Genetics
Verified
Journal Article
Closed access
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JMJosine L. Min
Josine L. Min
GHGibran Hemani
Gibran Hemani
EHEilis Hannon
Eilis Hannon
KDKoen F. Dekkers
Koen F. Dekkers
JCJuan Castillo-Fernandez
Juan Castillo-Fernandez
CRCaroline L. Relton
Caroline L. Relton

1 January 2009 in Nucleic Acids Research
Verified
Journal Article
Open access
HPH. Parkinson
H. Parkinson
MKM. Kapushesky
M. Kapushesky
NKN. Kolesnikov
N. Kolesnikov
GRG. Rustici
G. Rustici
MSM. Shojatalab
M. Shojatalab
ABA. Brazma
A. Brazma
ArrayExpress http://www.ebi.ac.uk/arrayexpress consists of three components: the ArrayExpress Repository--a public archive of functional genomics experiments and supporting data, the ArrayExpress Warehouse--a database of gene expression profiles and other bio-measurements and the ArrayExpress Atlas--a new summary database and meta-analytical tool of ranked gene expression across multiple experiments and different biological conditions. The Repository contains data from over 6000 experiments comprising approximately 200,000 assays, and the database doubles in size every 15 months. The majority of the data are array based, but other data types are included, most recently-ultra high-throughput sequencing transcriptomics and epigenetic data. The Warehouse and Atlas allow users to query for differentially expressed genes by gene names and properties, experimental conditions and sample properties, or a combination of both. In this update, we describe the ArrayExpress developments over the last two years.

21 July 2017 in Human Molecular Genetics
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Journal Article
Open access
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GSGemma C Sharp
Gemma C Sharp
LSLucas A Salas
Lucas A Salas
CMClaire Monnereau
Claire Monnereau
CACatherine Allard
Catherine Allard
PYPaul Yousefi
Paul Yousefi
CRCaroline L Relton
Caroline L Relton
Pre-pregnancy maternal obesity is associated with adverse offspring outcomes at birth and later in life. Individual studies have shown that epigenetic modifications such as DNA methylation could contribute. Within the Pregnancy and Childhood Epigenetics (PACE) Consortium, we meta-analysed the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs). We attempted to infer causality by comparing the effects of maternal versus paternal BMI and incorporating genetic variation. In four additional cohorts (1,817 mother-child pairs), we meta-analysed the association between maternal BMI at the start of pregnancy and blood methylation in adolescents. In newborns, maternal BMI was associated with small (<0.2% per BMI unit (1 kg/m2), P < 1.06 × 10−7) methylation variation at 9,044 sites throughout the genome. Adjustment for estimated cell proportions greatly attenuated the number of significant CpGs to 104, including 86 sites common to the unadjusted model. At 72/86 sites, the direction of the association was the same in newborns and adolescents, suggesting persistence of signals. However, we found evidence for acausal intrauterine effect of maternal BMI on newborn methylation at just 8/86 sites. In conclusion, this well-powered analysis identified robust associations between maternal adiposity and variations in newborn blood DNA methylation, but these small effects may be better explained by genetic or lifestyle factors than a causal intrauterine mechanism. This highlights the need for large-scale collaborative approaches and the application of causal inference techniques in epigenetic epidemiology.

1 June 2019 in Journal of Allergy and Clinical Immunology
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Journal Article
Open access
SRSarah E. Reese
Sarah E. Reese
CXCheng-Jian Xu
Cheng-Jian Xu
HDHerman T. Den Dekker
Herman T. Den Dekker
MLMi Kyeong Lee
Mi Kyeong Lee
SSSinjini Sikdar
Sinjini Sikdar
SLStephanie London
Stephanie London
Epigenetic mechanisms, including methylation, can contribute to childhood asthma. Identifying DNA methylation profiles in asthmatic patients can inform disease pathogenesis. We sought to identify differential DNA methylation in newborns and children related to childhood asthma. Within the Pregnancy And Childhood Epigenetics consortium, we performed epigenome-wide meta-analyses of school-age asthma in relation to CpG methylation (Illumina450K) in blood measured either in newborns, in prospective analyses, or cross-sectionally in school-aged children. We also identified differentially methylated regions. In newborns (8 cohorts, 668 cases), 9 CpGs (and 35 regions) were differentially methylated (epigenome-wide significance, false discovery rate < 0.05) in relation to asthma development. In a cross-sectional meta-analysis of asthma and methylation in children (9 cohorts, 631 cases), we identified 179 CpGs (false discovery rate < 0.05) and 36 differentially methylated regions. In replication studies of methylation in other tissues, most of the 179 CpGs discovered in blood replicated, despite smaller sample sizes, in studies of nasal respiratory epithelium or eosinophils. Pathway analyses highlighted enrichment for asthma-relevant immune processes and overlap in pathways enriched both in newborns and children. Gene expression correlated with methylation at most loci. Functional annotation supports a regulatory effect on gene expression at many asthma-associated CpGs. Several implicated genes are targets for approved or experimental drugs, including IL5RA and KCNH2. Novel loci differentially methylated in newborns represent potential biomarkers of risk of asthma by school age. Cross-sectional associations in children can reflect both risk for and effects of disease. Asthma-related differential methylation in blood in children was substantially replicated in eosinophils and respiratory epithelium.

23 April 2019 in Nature Communications
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Journal Article
Open access
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LKLeanne K. Küpers
Leanne K. Küpers
CMClaire Monnereau
Claire Monnereau
GSGemma C Sharp
Gemma C Sharp
PYPaul Yousefi
Paul Yousefi
LSLucas A Salas
Lucas A Salas
JFJanine F. Felix
Janine F. Felix
Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from −183 to 178 grams per 10% increase in methylation (PBonferroni < 1.06 x 10−7). In additional analyses in 7,278 participants, <1.3% of birthweight-associated differential methylation is also observed in childhood and adolescence, but not adulthood. Birthweight-related CpGs overlap with some Bonferroni-significant CpGs that were previously reported to be related to maternal smoking (55/914,p = 6.12 x 10−74) and BMI in pregnancy (3/914,p= 1.13x10−3), but not with those related to folate levels in pregnancy. Whether the associations that we observe are causal or explained by confounding or fetal growth influencing DNA methylation (i.e. reverse causality) requires further research.

1 September 2015 in Nature Communications
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Journal Article
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LDLouise E. Docherty
Louise E. Docherty
FRFaisal I Rezwan
Faisal I Rezwan
RPRebecca L. Poole
Rebecca L. Poole
CTClaire L. S. Turner
Claire L. S. Turner
EKEmma Kivuva
Emma Kivuva
DMDeborah J. G. Mackay
Deborah J. G. Mackay
Human-imprinting disorders are congenital disorders of growth, development and metabolism, associated with disturbance of parent of origin-specific DNA methylation at imprinted loci across the genome. Some imprinting disorders have higher than expected prevalence of monozygotic twinning, of assisted reproductive technology among parents, and of disturbance of multiple imprinted loci, for which few causative trans-acting mutations have been found. Here we report mutations in NLRP5 in five mothers of individuals affected by multilocus imprinting disturbance. Maternal-effect mutations of other human NLRP genes, NLRP7 and NLRP2, cause familial biparental hydatidiform mole and multilocus imprinting disturbance, respectively. Offspring of mothers with NLRP5 mutations have heterogenous clinical and epigenetic features, but cases include a discordant monozygotic twin pair, individuals with idiopathic developmental delay and autism, and families affected by infertility and reproductive wastage. NLRP5 mutations suggest connections between maternal reproductive fitness, early zygotic development and genomic imprinting.