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Ishikawa Y, Bonna A, Gould DB, Farndale RW. Local Net Charge State of Collagen Triple Helix Is a Determinant of FKBP22 Binding to Collagen III. Int J Mol Sci 2023; 24:15156. [PMID: 37894834 PMCID: PMC10607241 DOI: 10.3390/ijms242015156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Mutations in the FKBP14 gene encoding the endoplasmic reticulum resident collagen-related proline isomerase FK506 binding protein 22 kDa (FKBP22) result in kyphoscoliotic Ehlers-Danlos Syndrome (EDS), which is characterized by a broad phenotypic outcome. A plausible explanation for this outcome is that FKBP22 participates in the biosynthesis of subsets of collagen types: FKBP22 selectively binds to collagens III, IV, VI, and X, but not to collagens I, II, V, and XI. However, these binding mechanisms have never been explored, and they may underpin EDS subtype heterogeneity. Here, we used collagen Toolkit peptide libraries to investigate binding specificity. We observed that FKBP22 binding was distributed along the collagen helix. Further, it (1) was higher on collagen III than collagen II peptides and it (2) was correlated with a positive peptide charge. These findings begin to elucidate the mechanism by which FKBP22 interacts with collagen.
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Affiliation(s)
- Yoshihiro Ishikawa
- Department of Ophthalmology, University of California San Francisco, School of Medicine, San Francisco, CA 941583, USA
| | - Arkadiusz Bonna
- Department of Biochemistry, Downing Site, Cambridge CB2 1QW, UK
| | - Douglas B. Gould
- Department of Ophthalmology, University of California San Francisco, School of Medicine, San Francisco, CA 941583, USA
- Department of Anatomy, University of California, San Francisco, CA 94143, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
- Bakar Aging Research Institute, University of California, San Francisco, CA 94143, USA
- Institute for Human Genetics, University of California, San Francisco, CA 94143, USA
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Belbin GM, Odgis J, Sorokin EP, Yee MC, Kohli S, Glicksberg BS, Gignoux CR, Wojcik GL, Van Vleck T, Jeff JM, Linderman M, Schurmann C, Ruderfer D, Cai X, Merkelson A, Justice AE, Young KL, Graff M, North KE, Peters U, James R, Hindorff L, Kornreich R, Edelmann L, Gottesman O, Stahl EE, Cho JH, Loos RJ, Bottinger EP, Nadkarni GN, Abul-Husn NS, Kenny EE. Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health system. eLife 2017; 6:25060. [PMID: 28895531 PMCID: PMC5595434 DOI: 10.7554/elife.25060] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 08/09/2017] [Indexed: 11/16/2022] Open
Abstract
Achieving confidence in the causality of a disease locus is a complex task that often requires supporting data from both statistical genetics and clinical genomics. Here we describe a combined approach to identify and characterize a genetic disorder that leverages distantly related patients in a health system and population-scale mapping. We utilize genomic data to uncover components of distant pedigrees, in the absence of recorded pedigree information, in the multi-ethnic BioMe biobank in New York City. By linking to medical records, we discover a locus associated with both elevated genetic relatedness and extreme short stature. We link the gene, COL27A1, with a little-known genetic disease, previously thought to be rare and recessive. We demonstrate that disease manifests in both heterozygotes and homozygotes, indicating a common collagen disorder impacting up to 2% of individuals of Puerto Rican ancestry, leading to a better understanding of the continuum of complex and Mendelian disease. Diseases often run in families. These disease are frequently linked to changes in DNA that are passed down through generations. Close family members may share these disease-causing mutations; so may distant relatives who inherited the same mutation from a common ancestor long ago. Geneticists use a method called linkage mapping to trace a disease found in multiple members of a family over generations to genetic changes in a shared ancestor. This allows scientists to pinpoint the exact place in the genome the disease-causing mutation occurred. Using computer algorithms, scientists can apply the same technique to identify mutations that distant relatives inherited from a common ancestor. Belbin et al. used this computational technique to identify a mutation that may cause unusually short stature or bone and joint problems in up to 2% of people of Puerto Rican descent. In the experiments, the genomes of about 32,000 New Yorkers who have volunteered to participate in the BioMe Biobank and their health records were used to search for genetic changes linked to extremely short stature. The search revealed that people who inherited two copies of this mutation from their parents were likely to be extremely short or to have bone and joint problems. People who inherited one copy had an increased likelihood of joint or bone problems. This mutation affects a gene responsible for making a form of protein called collagen that is important for bone growth. The analysis suggests the mutation first arose in a Native American ancestor living in Puerto Rico around the time that European colonization began. The mutation had previously been linked to a disorder called Steel syndrome that was thought to be rare. Belbin et al. showed this condition is actually fairly common in people whose ancestors recently came from Puerto Rico, but may often go undiagnosed by their physicians. The experiments emphasize the importance of including diverse populations in genetic studies, as studies of people of predominantly European descent would likely have missed the link between this disease and mutation.
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Affiliation(s)
- Gillian Morven Belbin
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Jacqueline Odgis
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Elena P Sorokin
- Department of Genetics, Stanford University School of Medicine, Stanford, United States
| | - Muh-Ching Yee
- Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
| | - Sumita Kohli
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Benjamin S Glicksberg
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States.,Harris Center for Precision Wellness, Icahn School of Medicine at Mt Sinai, New York, United States
| | - Christopher R Gignoux
- Department of Genetics, Stanford University School of Medicine, Stanford, United States
| | - Genevieve L Wojcik
- Department of Genetics, Stanford University School of Medicine, Stanford, United States
| | - Tielman Van Vleck
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Janina M Jeff
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Michael Linderman
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Douglas Ruderfer
- Broad Institute, Cambridge, United States.,Division of Psychiatric Genomics, Icahn School of Medicine at Mt Sinai, New York, United States.,Center for Statistical Genetics, Icahn School of Medicine at Mt Sinai, New York, United States
| | - Xiaoqiang Cai
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Amanda Merkelson
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Misa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States.,Department of Epidemiology, University of Washington School of Public Health, Seattle, United States
| | - Regina James
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, United States
| | - Lucia Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, United States
| | - Ruth Kornreich
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Lisa Edelmann
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Eli Ea Stahl
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States.,Harris Center for Precision Wellness, Icahn School of Medicine at Mt Sinai, New York, United States.,Broad Institute, Cambridge, United States
| | - Judy H Cho
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Ruth Jf Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Girish N Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Noura S Abul-Husn
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Eimear E Kenny
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States.,Center for Statistical Genetics, Icahn School of Medicine at Mt Sinai, New York, United States
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