Paul Baird

Paul Baird


Research Focus & Metrics

Academic Career Length

39Years (1988-Present)

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

Representative Publications

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17 December 2020 in Nature Reviews Disease Primers
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Paul BairdPaul Baird
Paul Baird
SSSeang-Mei Saw
Seang-Mei Saw
CLCarla Lanca
Carla Lanca
JGJeremy A. Guggenheim
Jeremy A. Guggenheim
EIEarl L. Smith Iii
Earl L. Smith Iii
MHMingguang He
Mingguang He

10 February 2013 in Nature Genetics
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VVVirginie J M Verhoeven
Virginie J M Verhoeven
PHPirro G Hysi
Pirro G Hysi
RWRobert Wojciechowski
Robert Wojciechowski
QFQiao Fan
Qiao Fan
JGJeremy A Guggenheim
Jeremy A Guggenheim
CHChristopher J Hammond
Christopher J Hammond

28 May 2018 in Nature Genetics
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MTMilly S. Tedja
Milly S. Tedja
RWRobert Wojciechowski
Robert Wojciechowski
PHPirro G. Hysi
Pirro G. Hysi
NENicholas Eriksson
Nicholas Eriksson
NFNicholas A. Furlotte
Nicholas A. Furlotte
CKCaroline Klaver
Caroline Klaver
Refractive errors, including myopia, are the most frequent eye disorders worldwide and an increasingly common cause of blindness. This genome-wide association meta-analysis in 160,420 participants and replication in 95,505 participants increased the number of established independent signals from 37 to 161 and showed high genetic correlation between Europeans and Asians (>0.78). Expression experiments and comprehensive in silico analyses identified retinal cell physiology and light processing as prominent mechanisms, and also identified functional contributions to refractive-error development in all cell types of the neurosensory retina, retinal pigment epithelium, vascular endothelium and extracellular matrix. Newly identified genes implicate novel mechanisms such as rod-and-cone bipolar synaptic neurotransmission, anterior-segment morphology and angiogenesis. Thirty-one loci resided in or near regions transcribing small RNAs, thus suggesting a role for post-transcriptional regulation. Our results support the notion that refractive errors are caused by a light-dependent retina-to-sclera signaling cascade and delineate potential pathobiological molecular drivers.

10 June 2011 in Human Molecular Genetics
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YYYi Yu
Yi Yu
TBTushar R. Bhangale
Tushar R. Bhangale
JFJesen Fagerness
Jesen Fagerness
SRStephan Ripke
Stephan Ripke
GTGudmar Thorleifsson
Gudmar Thorleifsson
JSJohanna M. Seddon
Johanna M. Seddon
Despite significant progress in the identification of genetic loci for age-related macular degeneration (AMD), not all of the heritability has been explained. To identify variants which contribute to the remaining genetic susceptibility, we performed the largest meta-analysis of genome-wide association studies to date for advanced AMD. We imputed 6 036 699 single-nucleotide polymorphisms with the 1000 Genomes Project reference genotypes on 2594 cases and 4134 controls with follow-up replication of top signals in 5640 cases and 52 174 controls. We identified two new common susceptibility alleles, rs1999930 on 6q21-q22.3 near FRK/COL10A1 [odds ratio (OR) 0.87; P = 1.1 × 10−8] and rs4711751 on 6p12 near VEGFA (OR 1.15; P = 8.7 × 10−9). In addition to the two novel loci, 10 previously reported loci in ARMS2/HTRA1 (rs10490924), CFH (rs1061170, and rs1410996), CFB (rs641153), C3 (rs2230199), C2 (rs9332739), CFI (rs10033900), LIPC (rs10468017), TIMP3 (rs9621532) and CETP (rs3764261) were confirmed with genome-wide significant signals in this large study. Loci in the recently reported genes ABCA1 and COL8A1 were also detected with suggestive evidence of association with advanced AMD. The novel variants identified in this study suggest that angiogenesis (VEGFA) and extracellular collagen matrix (FRK/COL10A1) pathways contribute to the development of advanced AMD.

2 June 2011 in PLOS Genetics
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ITIan P. M. Tomlinson
Ian P. M. Tomlinson
LCLuis G. Carvajal-Carmona
Luis G. Carvajal-Carmona
SDSara E. Dobbins
Sara E. Dobbins
ATAlbert Tenesa
Albert Tenesa
AJAngela M. Jones
Angela M. Jones
MDMalcolm G. Dunlop
Malcolm G. Dunlop
Genome-wide association studies (GWAS) have identified 14 tagging single nucleotide polymorphisms (tagSNPs) that are associated with the risk of colorectal cancer (CRC), and several of these tagSNPs are near bone morphogenetic protein (BMP) pathway loci. The penalty of multiple testing implicit in GWAS increases the attraction of complementary approaches for disease gene discovery, including candidate gene- or pathway-based analyses. The strongest candidate loci for additional predisposition SNPs are arguably those already known both to have functional relevance and to be involved in disease risk. To investigate this proposition, we searched for novel CRC susceptibility variants close to the BMP pathway genes GREM1 (15q13.3), BMP4 (14q22.2), and BMP2 (20p12.3) using sample sets totalling 24,910 CRC cases and 26,275 controls. We identified new, independent CRC predisposition SNPs close to BMP4 (rs1957636, P = 3.93×10−10) and BMP2 (rs4813802, P = 4.65×10−11). Near GREM1, we found using fine-mapping that the previously-identified association between tagSNP rs4779584 and CRC actually resulted from two independent signals represented by rs16969681 (P = 5.33×10−8) and rs11632715 (P = 2.30×10−10). As low-penetrance predisposition variants become harder to identify—owing to small effect sizes and/or low risk allele frequencies—approaches based on informed candidate gene selection may become increasingly attractive. Our data emphasise that genetic fine-mapping studies can deconvolute associations that have arisen owing to independent correlation of a tagSNP with more than one functional SNP, thus explaining some of the apparently missing heritability of common diseases. Genome-wide association studies (GWAS) have identified several colorectal cancer (CRC) susceptibility polymorphisms near genes that encode proteins in the bone morphogenetic protein (BMP) pathway. However, most of the inherited susceptibility to CRC remains unexplained. We investigated three of the best candidate BMP genes (GREM1, BMP4, and BMP2) for additional polymorphisms associated with CRC. By extensive validation of polymorphisms with only modest evidence of association in the initial phases of the GWAS, we identified new, independent CRC predisposition polymorphisms close to BMP4 (rs1957636) and BMP2 (rs4813802). Near GREM1, we used additional genotyping around the GWAS-identified polymorphism rs4779584 to demonstrate two independent signals represented by rs16969681 and rs11632715. Common genes with modest effects on disease risk are becoming harder to identify, and approaches based on informed candidate gene selection may become increasingly attractive. In addition, genetic fine mapping around polymorphisms identified in GWAS can deconvolute associations which have arisen owing to two independent functional variants. These types of study can identify some of the apparently missing heritability of common disease.

1 August 2013 in The American Journal of Human Genetics
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Journal Article
Closed access
CCChing-Yu Cheng
Ching-Yu Cheng
MSMaria Schache
Maria Schache
MIM. Kamran Ikram
M. Kamran Ikram
TYTerri L. Young
Terri L. Young
JGJeremy A. Guggenheim
Jeremy A. Guggenheim
Paul BairdPaul Baird
Paul Baird