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2.
Hum Mol Genet ; 27(24): 4194-4203, 2018 12 15.
Article in English | MEDLINE | ID: mdl-30169630

ABSTRACT

Great strides in gene discovery have been made using a multitude of methods to associate phenotypes with genetic variants, but there still remains a substantial gap between observed symptoms and identified genetic defects. Herein, we use the convergence of various genetic and genomic techniques to investigate the underpinnings of a constellation of phenotypes that include prostate cancer (PCa) and sensorineural hearing loss (SNHL) in a human subject. Through interrogation of the subject's de novo, germline, balanced chromosomal translocation, we first identify a correlation between his disorders and a poorly annotated gene known as lipid droplet associated hydrolase (LDAH). Using data repositories of both germline and somatic variants, we identify convergent genomic evidence that substantiates a correlation between loss of LDAH and PCa. This correlation is validated through both in vitro and in vivo models that show loss of LDAH results in increased risk of PCa and, to a lesser extent, SNHL. By leveraging convergent evidence in emerging genomic data, we hypothesize that loss of LDAH is involved in PCa and other phenotypes observed in support of a genotype-phenotype association in an n-of-one human subject.


Subject(s)
Hearing Loss, Sensorineural/genetics , Prostatic Neoplasms/genetics , Serine Proteases/genetics , Translocation, Genetic/genetics , Adult , Aged , Animals , Genome-Wide Association Study , Germ Cells/pathology , Hearing Loss, Sensorineural/pathology , Humans , Male , Mice , Mice, Knockout , Phenotype , Prostatic Neoplasms/pathology
3.
Proc Natl Acad Sci U S A ; 109(2): 529-34, 2012 Jan 10.
Article in English | MEDLINE | ID: mdl-22203992

ABSTRACT

Copy number variants (CNVs) represent a substantial source of genomic variation in vertebrates and have been associated with numerous human diseases. Despite this, the extent of CNVs in the zebrafish, an important model for human disease, remains unknown. Using 80 zebrafish genomes, representing three commonly used laboratory strains and one native population, we constructed a genome-wide, high-resolution CNV map for the zebrafish comprising 6,080 CNV elements and encompassing 14.6% of the zebrafish reference genome. This amount of copy number variation is four times that previously observed in other vertebrates, including humans. Moreover, 69% of the CNV elements exhibited strain specificity, with the highest number observed for Tubingen. This variation likely arose, in part, from Tubingen's large founding size and composite population origin. Additional population genetic studies also provided important insight into the origins and substructure of these commonly used laboratory strains. This extensive variation among and within zebrafish strains may have functional effects that impact phenotype and, if not properly addressed, such extensive levels of germ-line variation and population substructure in this commonly used model organism can potentially confound studies intended for translation to human diseases.


Subject(s)
DNA Copy Number Variations/genetics , Genetic Variation , Genomics/methods , Zebrafish/genetics , Animals , Comparative Genomic Hybridization , DNA Primers/genetics , Genetics, Population , Species Specificity , Zebrafish/classification
4.
Eur J Clin Invest ; 39(4): 247-66, 2009 Apr.
Article in English | MEDLINE | ID: mdl-19297801

ABSTRACT

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed, but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct or analysis.


Subject(s)
Disease/genetics , Genetic Research , Genome-Wide Association Study/methods , Guidelines as Topic , Publishing/standards , Genetic Predisposition to Disease , Humans , Research Design
5.
Genet Epidemiol ; 33(7): 581-98, 2009 Nov.
Article in English | MEDLINE | ID: mdl-19278015

ABSTRACT

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.


Subject(s)
Genome-Wide Association Study/methods , Molecular Epidemiology/standards , Research Design , Data Interpretation, Statistical , Genetic Techniques , Genome, Human , Genotype , Guidelines as Topic , Haplotypes , Humans , Models, Genetic , Models, Statistical , Public Health , Quantitative Trait Loci
6.
Ann Intern Med ; 150(3): 206-15, 2009 Feb 03.
Article in English | MEDLINE | ID: mdl-19189911

ABSTRACT

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information into the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and issues of data volume that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.


Subject(s)
Genetic Research , Guidelines as Topic , Publishing/standards , Research Design
7.
J Clin Epidemiol ; 62(6): 597-608.e4, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19217256

ABSTRACT

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence, the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association (STREGA) studies initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed, but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.


Subject(s)
Epidemiology/standards , Genetic Research , Genomics/statistics & numerical data , Guidelines as Topic , Bias , Genetics, Population/methods , Genome-Wide Association Study , Humans , Publishing/standards , Research/standards
8.
PLoS Med ; 6(2): e22, 2009 Feb 03.
Article in English | MEDLINE | ID: mdl-19192942

ABSTRACT

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.


Subject(s)
Disease/genetics , Genetic Predisposition to Disease , Genomics , Guidelines as Topic , Periodicals as Topic/standards , Humans
9.
Hum Genet ; 125(2): 131-51, 2009 Mar.
Article in English | MEDLINE | ID: mdl-19184668

ABSTRACT

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.


Subject(s)
Genetics, Population , Genome-Wide Association Study/methods , Genomics/methods , Models, Genetic , Research Design , Humans
10.
Eur J Epidemiol ; 24(1): 37-55, 2009.
Article in English | MEDLINE | ID: mdl-19189221

ABSTRACT

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.


Subject(s)
Epidemiologic Methods , Genetic Research , Evidence-Based Medicine/methods , Evidence-Based Medicine/standards , Genetic Phenomena , Genetic Predisposition to Disease , Genomics/methods , Genomics/standards , Humans
11.
Am J Hum Genet ; 82(3): 712-22, 2008 Mar.
Article in English | MEDLINE | ID: mdl-18319076

ABSTRACT

Apparently balanced chromosomal rearrangements in individuals with major congenital anomalies represent natural experiments of gene disruption and dysregulation. These individuals can be studied to identify novel genes critical in human development and to annotate further the function of known genes. Identification and characterization of these genes is the goal of the Developmental Genome Anatomy Project (DGAP). DGAP is a multidisciplinary effort that leverages the recent advances resulting from the Human Genome Project to increase our understanding of birth defects and the process of human development. Clinically significant phenotypes of individuals enrolled in DGAP are varied and, in most cases, involve multiple organ systems. Study of these individuals' chromosomal rearrangements has resulted in the mapping of 77 breakpoints from 40 chromosomal rearrangements by FISH with BACs and fosmids, array CGH, Southern-blot hybridization, MLPA, RT-PCR, and suppression PCR. Eighteen chromosomal breakpoints have been cloned and sequenced. Unsuspected genomic imbalances and cryptic rearrangements were detected, but less frequently than has been reported previously. Chromosomal rearrangements, both balanced and unbalanced, in individuals with multiple congenital anomalies continue to be a valuable resource for gene discovery and annotation.


Subject(s)
Chromosome Breakage , Congenital Abnormalities/genetics , Genome, Human/genetics , Human Development , Chromosome Mapping , Human Genome Project , Humans
12.
Hear Res ; 237(1-2): 57-65, 2008 Mar.
Article in English | MEDLINE | ID: mdl-18243607

ABSTRACT

Genes involved in the hearing process have been identified through both positional cloning efforts following genetic linkage studies of families with heritable deafness and by candidate gene approaches based on known functional properties or inner ear expression. The latter method of gene discovery may employ a tissue- or organ-specific approach. Through characterization of a human fetal cochlear cDNA library, we have identified transcripts that are preferentially and/or highly expressed in the cochlea. High expression in the cochlea may be suggestive of a fundamental role for a transcript in the auditory system. Herein we report the identification and characterization of a transcript from the cochlear cDNA library with abundant cochlear expression and unknown function that was subsequently determined to represent osteoglycin (OGN). Ogn-deficient mice, when analyzed by auditory brainstem response and distortion product otoacoustic emissions, have normal hearing thresholds.


Subject(s)
Cochlea/physiology , Hearing Loss/physiopathology , Hearing/physiology , Intercellular Signaling Peptides and Proteins/genetics , Animals , Auditory Threshold , Evoked Potentials, Auditory, Brain Stem , Gene Expression , Gene Library , Hearing Loss/genetics , Humans , Mice , Mice, Inbred C57BL , Mice, Inbred CBA , Mice, Mutant Strains , Oligonucleotide Array Sequence Analysis , Otoacoustic Emissions, Spontaneous , Phenotype
13.
Am J Med Genet A ; 143A(14): 1630-9, 2007 Jul 15.
Article in English | MEDLINE | ID: mdl-17534888

ABSTRACT

Genes with a role in the auditory system have been mapped by genetic linkage analysis of families with heritable deafness and then cloned through positional candidate gene approaches. Another positional method for gene discovery is to ascertain deaf individuals with balanced chromosomal translocations and identify disrupted or disregulated genes at the site(s) of rearrangement. We report herein the use of fluorescence in situ hybridization (FISH) to map the breakpoint regions on each derivative chromosome of a de novo apparently balanced translocation, t(8;9)(q12.1;p21.3)dn, in a deaf individual. Chromosomal breakpoints were assigned initially by GTG-banding of metaphase chromosomes and then BAC probes chosen to map precisely the breakpoints by FISH experiments. To facilitate cloning of the breakpoint sequences, further refinement of the breakpoints was performed by FISH experiments using PCR products and by Southern blot analysis. The chromosome 9 breakpoint disrupts methylthioadenosine phosphorylase (MTAP); no known or predicted genes are present at the chromosome 8 breakpoint. Disruption of MTAP is hypothesized to lead to deafness due to the role of MTAP in metabolizing an inhibitor of polyamine synthesis. Drosophila deficient for the MTAP ortholog, CG4,802, were created and their hearing assessed; no hearing loss phenotype was observed. A knockout mouse model for MTAP deficiency was also created and no significant hearing loss was detected in heterozygotes for Mtap. Homozygous Mtap-deficient mice were embryonic lethal.


Subject(s)
Disease Models, Animal , Hearing Loss/genetics , Mutation , Purine-Nucleoside Phosphorylase/genetics , Translocation, Genetic , Animals , Base Sequence , Child, Preschool , Chromosomes, Human, Pair 9/genetics , Drosophila melanogaster , Embryo, Nonmammalian/enzymology , Embryo, Nonmammalian/metabolism , Female , Gene Expression Regulation, Enzymologic , Genes, Lethal , Hearing Loss/enzymology , Hearing Loss/pathology , Humans , Immunohistochemistry , In Situ Hybridization , In Situ Hybridization, Fluorescence , Male , Mice , Mice, Inbred C57BL , Mice, Inbred Strains , Mice, Knockout , Molecular Sequence Data , Purine-Nucleoside Phosphorylase/metabolism , Reverse Transcriptase Polymerase Chain Reaction
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