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Igor Rudan
University of Edinburgh
686Publications
103H-index
59.1kCitations
Publications 698
Newest
#1Robin G Walters (University of Oxford)H-Index: 3
#2David W. Clark (Edin.: University of Edinburgh)H-Index: 6
Last.James F. Wilson (Edin.: University of Edinburgh)H-Index: 107
view all 436 authors...
In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (FROH) for >1.4 million individuals, we show that FROH is significantly associated (p < 0.0005) with apparently deleterious changes in 32...
1 CitationsSource
#1Peige Song (Edin.: University of Edinburgh)H-Index: 6
#2Yan Zhang ('KCL': King's College London)H-Index: 1
Last.Igor Rudan (Edin.: University of Edinburgh)H-Index: 103
view all 7 authors...
Importance Reliable estimates of the prevalence of childhood hypertension serve as the basis for adequate prevention and treatment. However, the prevalence of childhood hypertension has rarely been synthesized at the global level. Objective To conduct a systematic review and meta-analysis to assess the prevalence of hypertension in the general pediatric population. Data Sources PubMed, MEDLINE, Embase, Global Health, and Global Health Library were searched from inception until June 2018, using s...
1 CitationsSource
#1Gail Davies (Edin.: University of Edinburgh)H-Index: 52
#2Max LamH-Index: 10
Last.Ian J. Deary (Edin.: University of Edinburgh)H-Index: 128
view all 222 authors...
Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.
1 CitationsSource
#1Tuomas O. Kilpelaeinen (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 33
#2Amy R. Bentley (NIH: National Institutes of Health)H-Index: 16
Last.Ruth Loos (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 111
view all 237 authors...
Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We f...
6 CitationsSource
#1Kit Yee ChanH-Index: 26
#2Davies AdeloyeH-Index: 16
Last.Craig W. RitchieH-Index: 31
view all 27 authors...
1 CitationsSource
#1Kerri WaznyH-Index: 9
#2Narendra K. AroraH-Index: 17
Last.Soumya SwaminathanH-Index: 53
view all 16 authors...
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#1Gabriel Cuellar Partida (UQ: University of Queensland)H-Index: 3
#2Joyce Y. TungH-Index: 35
Last.Sarah E. Medland (QIMR: QIMR Berghofer Medical Research Institute)H-Index: 77
view all 118 authors...
Handedness, a consistent asymmetry in skill or use of the hands, has been studied extensively because of its relationship with language and the over-representation of left-handers in some neurodevelopmental disorders. Using data from the UK Biobank, 23andMe and 32 studies from the International Handedness Consortium, we conducted the world9s largest genome-wide association study of handedness (1,534,836 right-handed, 194,198 (11.0%) left-handed and 37,637 (2.1%) ambidextrous individuals). We fou...
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#1Elisa Benedetti (Cornell University)H-Index: 3
Last.Jan Krumsiek (Cornell University)H-Index: 27
view all 17 authors...
Glycomics measurements, like all other high-throughput technologies, are subject to technical variation due to fluctuations in the experimental conditions. The removal of this non-biological signal from the data is referred to as normalization. Contrary to other omics data types, a systematic evaluation of normalization options for glycomics data has not been published so far. In this paper, we assess the quality of different normalization strategies for glycomics data with an innovative approac...
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#1Natasha Ng (Agency for Science, Technology and Research)
#2Sara M. Willems (University of Cambridge)H-Index: 28
Last.Xueling Sim (UM: University of Michigan)H-Index: 44
view all 262 authors...
Metabolic dysregulation in multiple tissues alters glucose homeostasis and influences risk for type 2 diabetes (T2D). To identify pathways and tissues influencing T2D-relevant glycemic traits (fasting glucose [FG], fasting insulin [FI], two-hour glucose [2hGlu] and glycated hemoglobin [HbA1c]), we investigated associations of exome-array variants in up to 144,060 individuals without diabetes of multiple ancestries. Single-variant analyses identified novel associations at 21 coding variants in 18...
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#1Elisa Benedetti (Cornell University)H-Index: 3
Last.Jan Krumsiek (Cornell University)H-Index: 27
view all 15 authors...
Correlation networks are commonly used to statistically extract biological interactions between omics markers. Network edge selection is typically based on the significance of the underlying correlation coefficients. A statistical cutoff, however, is not guaranteed to capture biological reality, and heavily depends on dataset properties such as sample size. We here propose an alternative, innovative approach to address the problem of network reconstruction. Specifically, we developed a cutoff se...
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