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Institution

Wellcome Trust Centre for Human Genetics

FacilityOxford, United Kingdom
About: Wellcome Trust Centre for Human Genetics is a facility organization based out in Oxford, United Kingdom. It is known for research contribution in the topics: Population & Genome-wide association study. The organization has 2122 authors who have published 4269 publications receiving 433899 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the role of 23 candidate genes in the control of bone mineral density (BMD) by linkage studies in families of probands with osteoporosis (lumbar spine [LS] or femoral neck [FN] BMD T score < -2.5) and low BMD relative to an age and gender-matched cohort (Z score < 2.0).
Abstract: We have investigated the role of 23 candidate genes in the control of bone mineral density (BMD) by linkage studies in families of probands with osteoporosis (lumbar spine [LS] or femoral neck [FN] BMD T score < -2.5) and low BMD relative to an age- and gender-matched cohort (Z score < -2.0). One hundred and fifteen probands (35 male, 80 female) and 499 of their first- or second-degree relatives (223 males and 276 females) were recruited for the study. BMD was measured at the LS and FN using dual-energy X-ray absorptiometry and expressed as age- and gender-matched Z scores corrected for body mass index. The candidate genes studied were the androgen receptor, type I collagen A1 (COLIA1), COLIA2, COLIIA1, vitamin D receptor (VDR), colony-stimulating factor 1, calcium-sensing receptor, epidermal growth factor (EGF), estrogen receptor 1 (ESR1), fibrillin type 1, insulin-like growth factor 1, interleukin-1 alpha (IL-1α), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-11 (IL-11), osteopontin, parathyroid hormone (PTH), PTH-related peptide, PTH receptor type 1 (PTHR1), transforming growth factor-beta 1, and tumor necrosis factors alpha and beta. Sixty-four microsatellites lying close to or within these genes were investigated for linkage with BMD. Using the program MapMaker/Sibs there was suggestive evidence of linkage between BMD and PTHR1 (maximum LOD score obtained [MLS] 2.7-3.5). Moderate evidence of linkage was also observed with EGF (MLS 1.8), COLIA1 (MLS 1.7), COLIIA1/VDR (MLS 1.7), ESR1 (MLS 1.4), IL-1α (MLS 1.4), IL-4 (MLS 1.2), and IL-6 (MLS 1.2). Variance components analysis using the program ACT, correcting for proband-wise ascertainment, also showed evidence of linkage (p ≤0.05) at markers close to or within the candidate genes IL- 1α, PTHR1, IL-6, and COLIIA1/VDR. Further studies will be required to confirm these findings, to refine the location of gene responsible for the observed linkage, and to screen the candidate genes targeted at these loci for mutations.

137 citations

Journal ArticleDOI
TL;DR: The analysis of reelin (RELN), a gene located under the authors' peak of linkage, suggests that it probably does not play a major role in autism aetiology, although further analysis of several missense mutations is warranted in additional affected individuals.
Abstract: Genetic studies indicate that chromosome 7q is likely to contain an autism susceptibility locus (AUTS1). We have followed a positional candidate gene approach to identify relevant gene(s) and report here the analysis of reelin (RELN), a gene located under our peak of linkage. Screening RELN for DNA changes identified novel missense variants absent in a large control group; however, the low frequency of these mutations does not explain the relatively strong linkage results on 7q. Furthermore, analysis of a previously reported triplet repeat polymorphism and intragenic single nucleotide polymorphisms, using the transmission disequilibrium test, provided no evidence for association with autism in IMGSAC and German singleton families. The analysis of RELN suggests that it probably does not play a major role in autism aetiology, although further analysis of several missense mutations is warranted in additional affected individuals.

137 citations

Journal ArticleDOI
TL;DR: A role of the KIAA0319 gene in the development of dyslexia is supported and the data implicate the three-SNP haplotype and its tagging SNP rs2143340 as genetic risk factors for poor reading performance.
Abstract: Objective: The authors previously identified a haplotype on chromosome 6p22 defined by three single-nucleotide polymorphisms (SNPs) that was associated with dyslexia (reading disability) in two independent samples of families that included at least one sibling with severe reading impairment. The authors also showed that this haplotype is associated with a reduction in expression of the KIAA0319 gene. In addition, a completely independent study detected an association between KIAA0319 markers and reading disability. In the current study, the authors tested whether the KIAA0319 gene influences reading skills in the general population, rather than having an effect restricted to reading disability. Method: The authors genotyped four SNPs that previously showed association with reading disability in the population of 7–9-year-old children in the Avon Longitudinal Study of Parents and Children (ALSPAC), a large longitudinal cohort for which reading-related phenotypes were available for more than 6,000 individua...

136 citations

Journal ArticleDOI
TL;DR: The approach, implemented in the R package treespace, combines tree metrics and multivariate analysis to provide low‐dimensional representations of the topological variability in a set of trees, which can be used for identifying clusters of similar trees and group‐specific consensus phylogenies.
Abstract: The increasing availability of large genomic data sets as well as the advent of Bayesian phylogenetics facilitates the investigation of phylogenetic incongruence, which can result in the impossibility of representing phylogenetic relationships using a single tree. While sometimes considered as a nuisance, phylogenetic incongruence can also reflect meaningful biological processes as well as relevant statistical uncertainty, both of which can yield valuable insights in evolutionary studies. We introduce a new tool for investigating phylogenetic incongruence through the exploration of phylogenetic tree landscapes. Our approach, implemented in the R package treespace, combines tree metrics and multivariate analysis to provide low-dimensional representations of the topological variability in a set of trees, which can be used for identifying clusters of similar trees and group-specific consensus phylogenies. treespace also provides a user-friendly web interface for interactive data analysis and is integrated alongside existing standards for phylogenetics. It fills a gap in the current phylogenetics toolbox in R and will facilitate the investigation of phylogenetic results.

136 citations

Journal ArticleDOI
TL;DR: The most prominent structural traits that characterize PTPs and their complexes with ligands are compiled and discussed to discuss how the data can be used to design further functional experiments and as a basis for drug design given that many P TPs are now considered strategic therapeutic targets for human diseases such as diabetes and cancer.
Abstract: Structural analysis of protein tyrosine phosphatases (PTPs) has expanded considerably in the last several years, producing more than 200 structures in this class of enzymes (from 35 different proteins and their complexes with ligands) The small-medium size of the catalytic domain of approximately 280 residues plus a very compact fold makes it amenable to cloning and overexpression in bacterial systems thus facilitating crystallographic analysis The low molecular weight PTPs being even smaller, approximately 150 residues, are also perfect targets for NMR analysis The availability of different structures and complexes of PTPs with substrates and inhibitors has provided a wealth of information with profound effects in the way we understand their biological functions Developments in mammalian expression technology recently led to the first crystal structure of a receptor-like PTP extracellular region Altogether, the PTP structural work significantly advanced our knowledge regarding the architecture, regulation and substrate specificity of these enzymes In this review, we compile the most prominent structural traits that characterize PTPs and their complexes with ligands We discuss how the data can be used to design further functional experiments and as a basis for drug design given that many PTPs are now considered strategic therapeutic targets for human diseases such as diabetes and cancer

136 citations


Authors

Showing all 2127 results

NameH-indexPapersCitations
Mark I. McCarthy2001028187898
John P. A. Ioannidis1851311193612
Gonçalo R. Abecasis179595230323
Simon I. Hay165557153307
Robert Plomin151110488588
Ashok Kumar1515654164086
Julian Parkhill149759104736
James F. Wilson146677101883
Jeremy K. Nicholson14177380275
Hugh Watkins12852491317
Erik Ingelsson12453885407
Claudia Langenberg12445267326
Adrian V. S. Hill12258964613
John A. Todd12151567413
Elaine Holmes11956058975
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202221
202183
202074
2019134
2018182
2017323