Damian Goodridge
Hoffmann-La Roche
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Featured researches published by Damian Goodridge.
Tissue Antigens | 2009
Gordon Bentley; Russell Higuchi; Bryan Hoglund; Damian Goodridge; D. Sayer; Elizabeth Trachtenberg; Henry A. Erlich
The human leukocyte antigen (HLA) class I and class II loci are the most polymorphic genes in the human genome. Hematopoietic stem cell transplantation requires allele-level HLA typing at multiple loci to select the best matched unrelated donors for recipient patients. In current methods for HLA typing, both alleles of a heterozygote are amplified and typed or sequenced simultaneously, often making it difficult to unambiguously determine the sequence of the two alleles. Next-generation sequencing methods clonally propagate in parallel millions of single DNA molecules, which are then also sequenced in parallel. Recently, the read lengths obtainable by one such next-generation sequencing method (454 Life Sciences, Inc.) have increased to >250 nucleotides. These clonal read lengths make possible setting the phase of the linked polymorphisms within an exon and thus the unambiguous determination of the sequence of each HLA allele. Here we demonstrate this capacity as well as show that the throughput of the system is sufficiently high to enable a complete, 7-locus HLA class I and II typing for 24 or 48 individual DNAs in a single GS FLX sequencing run. Highly multiplexed amplicon sequencing is facilitated by the use of sample-specific internal sequence tags (multiplex identification tags or MIDs) in the primers that allow pooling of samples yet maintain the ability to assign sequences to specific individuals. We have incorporated an HLA typing software application developed by Conexio Genomics (Freemantle, Australia) that assigns HLA genotypes for these 7 loci (HLA-A, -B, -C, DRB1, DQA1, DQB1, DPB1), as well as for DRB3, DRB4, and DRB5 from 454 sequence data. The potential of this HLA sequencing system to analyze chimeric mixtures is demonstrated here by the detection of a rare HLA-B allele in a mixture of two homozygous cell lines (1/100), as well as by the detection of the rare nontransmitted maternal allele present in the blood of a severe combined immunodeficiency disease syndrome (SCIDS) patient.
Tissue Antigens | 2011
Cherie Holcomb; Bryan Hoglund; Matthew W. Anderson; Lisbeth A. Blake; I. Böhme; Michael Egholm; Deborah Ferriola; Christian Gabriel; S. E. Gelber; Damian Goodridge; S. Hawbecker; R. Klein; Martha Ladner; Curt Lind; Dimitri Monos; Marcelo J. Pando; Johannes Pröll; D. Sayer; Gudrun G. Schmitz-Agheguian; Birgitte B. Simen; B. Thiele; Elizabeth Trachtenberg; Dolly B. Tyan; R. Wassmuth; S. White; Henry A. Erlich
The high degree of polymorphism at human leukocyte antigen (HLA) class I and class II loci makes high-resolution HLA typing challenging. Current typing methods, including Sanger sequencing, yield ambiguous typing results because of incomplete genomic coverage and inability to set phase for HLA allele determination. The 454 Life Sciences Genome Sequencer (GS FLX) next generation sequencing system coupled with conexio atf software can provide very high-resolution HLA genotyping. High-throughput genotyping can be achieved by use of primers with multiplex identifier (MID) tags to allow pooling of the amplicons generated from different individuals prior to sequencing. We have conducted a double-blind study in which eight laboratory sites performed amplicon sequencing using GS FLX standard chemistry and genotyped the same 20 samples for HLA-A, -B, -C, DPB1, DQA1, DQB1, DRB1, DRB3, DRB4, and DRB5 (DRB3/4/5) in a single sequencing run. The average sequence read length was 250 base pairs and the average number of sequence reads per amplicon was 672, providing confidence in the allele assignments. Of the 1280 genotypes considered, assignment was possible in 95% of the cases. Failure to assign genotypes was the result of researcher procedural error or the presence of a novel allele rather than a failure of sequencing technology. Concordance with known genotypes, in cases where assignment was possible, ranged from 95.3% to 99.4% for the eight sites, with overall concordance of 97.2%. We conclude that clonal pyrosequencing using the GS FLX platform and CONEXIO ATF software allows reliable identification of HLA genotypes at high resolution.
Tissue Antigens | 2012
Christine F. Skibola; Nicholas K. Akers; Lucia Conde; Martha Ladner; Sharon K. Hawbecker; Franziska Cohen; Fernanda Ribas; Henry A. Erlich; Damian Goodridge; Elizabeth Trachtenberg; Martyn T. Smith; Paige M. Bracci
Follicular lymphoma (FL) is an indolent, sometimes, fatal disease characterized by recurrence at progressively shorter intervals and is frequently refractive to therapy. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) in the human leukocyte antigen (HLA) region on chromosome 6p21.32-33 that are statistically significantly associated with FL risk. Low to medium resolution typing of single or multiple HLA genes has provided an incomplete picture of the total genetic risk imparted by this highly variable region. To gain further insight into the role of HLA alleles in lymphomagenesis and to investigate the independence of validated SNPs and HLA alleles with FL risk, high-resolution HLA typing was conducted using next-generation sequencing in 222 non-Hispanic White FL cases and 220 matched controls from a larger San Francisco Bay Area population-based case-control study of lymphoma. A novel protective association was found between the DPB1*03:01 allele and FL risk [odds ratio (OR) = 0.39, 95% confidence interval (CI) = 0.21-0.68]. Extended haplotypes DRB1*01:01-DQA1*01:01-DQB1*05:01 (OR = 2.01, 95% CI = 1.22-3.38) and DRB1*15-DQA1*01-DQB1*06 (OR = 0.55, 95% CI = 0.36-0.82) also influenced FL risk. Moreover, DRB1*15-DQA1*01-DQB1*06 was highly correlated with an established FL risk locus, rs2647012. These results provide further insight into the critical roles of HLA alleles and SNPs in FL pathogenesis that involve multi-locus effects across the HLA region.
Human Immunology | 2015
Fumiko Yamamoto; Bryan Hoglund; Marcelo Fernandez-Vina; Dolly B. Tyan; Melinda Rastrou; T. Williams; Priscilla Moonsamy; Damian Goodridge; Matthew W. Anderson; Henry A. Erlich; Cherie Holcomb
Compared to Sanger sequencing, next-generation sequencing offers advantages for high resolution HLA genotyping including increased throughput, lower cost, and reduced genotype ambiguity. Here we describe an enhancement of the Roche 454 GS GType HLA genotyping assay to provide very high resolution (VHR) typing, by the addition of 8 primer pairs to the original 14, to genotype 11 HLA loci. These additional amplicons help resolve common and well-documented alleles and exclude commonly found null alleles in genotype ambiguity strings. Simplification of workflow to reduce the initial preparation effort using early pooling of amplicons or the Fluidigm Access Array™ is also described. Performance of the VHR assay was evaluated on 28 well characterized cell lines using Conexio Assign MPS software which uses genomic, rather than cDNA, reference sequence. Concordance was 98.4%; 1.6% had no genotype assignment. Of concordant calls, 53% were unambiguous. To further assess the assay, 59 clinical samples were genotyped and results compared to unambiguous allele assignments obtained by prior sequence-based typing supplemented with SSO and/or SSP. Concordance was 98.7% with 58.2% as unambiguous calls; 1.3% could not be assigned. Our results show that the amplicon-based VHR assay is robust and can replace current Sanger methodology. Together with software enhancements, it has the potential to provide even higher resolution HLA typing.
Human Immunology | 2012
Emma Stone; Damian Goodridge; D. Sayer
Aim To develop a sequence analysis software package for genetic typing labs performing DNA sequencing for practically any application. Methods DNA sequencing is now widely used for the identification of inherited genetic sequence variants known to result in disease. Many molecular pathology and other laboratories, including laboratories sequencing HLA genes now sequence in excess of 100 different genes. Assign-ATF v1.5 has been built on the foundations of the widely used Assign-SBT suite of sequence analysis software. However ATF 1.5 has been designed specifically to assist laboratories identify genetic variants and can be used for practically any Sanger sequencing application. Results Proven diverse applications of Assign-ATF v1.5 include viral genotyping, including HIV drug resistance genotyping, Hepatitis C genotyping and the detection of tumour associated mutations. Assign-ATF v1.5 contains all the base calling, sequence alignment, quality control and high-throughput features of Assign-SBT but has the additional features required for a molecular pathology laboratory that frequently adds new genes to its sequencing repertoire. Reference sequences can be simply created and will include all the relevant genetic information from GenBank entries enabling a lab to set up for analysis in a matter of minutes and produce meaningful reports. Reports include nucleotide and predicted amino acid differences from the reference sequence. Heterozygous wildtype/inserted or deleted base variants can also be interpreted. By annotating specific sites of interest the user can check and report only the annotated sites of interest if required. This approach provides flexibility and speed enabling high throughput. Conclusions Assign-ATF v1.5 is a high throughput, simple to use variant detection sequence analysis software appropriate for a variety of applications in most labs performing DNA sequencing.
Tissue Antigens | 2013
Steven J. Mack; Pedro Cano; Jill A. Hollenbach; Jun He; Carolyn Katovich Hurley; Derek Middleton; Maria Elisa Moraes; Shalini Pereira; Jane Kempenich; Elaine F. Reed; Michelle Setterholm; Anajane G. Smith; Marcel G.J. Tilanus; Margareth Torres; Michael D. Varney; Christien Voorter; Gottfried Fischer; Katharina Fleischhauer; Damian Goodridge; William Klitz; Ann-Margaret Little; Martin Maiers; Steven G.E. Marsh; Carlheinz Müller; Harriet Noreen; Erik H. Rozemuller; Alicia Sanchez-Mazas; David Senitzer; Elizabeth Trachtenberg; Marcelo Fernandez-Vina
Tissue Antigens | 2013
Priscilla Moonsamy; Timothy Williams; Persia Bonella; Cherie Holcomb; Bryan Hoglund; Grantland Hillman; Damian Goodridge; Gregory S. Turenchalk; Lisbeth A. Blake; Derek Daigle; Birgitte B. Simen; Amy Hamilton; Andrew May; Henry A. Erlich
Tissue Antigens | 2014
Cherie Holcomb; Melinda Rastrou; Timothy Williams; Damian Goodridge; A. M. Lazaro; Marcel G.J. Tilanus; Henry A. Erlich
Tissue Antigens | 2013
Steven J. Mack; Pedro Cano; Jill A. Hollenbach; J. He; Carolyn Katovich Hurley; Derek Middleton; Maria Elisa Moraes; Shalini Pereira; Jane Kempenich; Elaine F. Reed; Michelle Setterholm; Anajane G. Smith; Marcel G.J. Tilanus; Margareth Torres; Michael D. Varney; Christina E.M. Voorter; Gottfried Fischer; Katharina Fleischhauer; Damian Goodridge; William Klitz; Ann-Margaret Little; Martin Maiers; Steven G.E. Marsh; Carlheinz Müller; Harriet Noreen; Erik H. Rozemuller; Alicia Sanchez-Mazas; David Senitzer; Elizabeth Trachtenberg; Marcelo Fernandez-Vina
Archive | 2005
D. Sayer; Damian Goodridge