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Sapozhnikov DM, Szyf M. Genetic confounds of transgenerational epigenetic inheritance in mice. Epigenetics 2024; 19:2318519. [PMID: 38369744 PMCID: PMC10878023 DOI: 10.1080/15592294.2024.2318519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 02/07/2024] [Indexed: 02/20/2024] Open
Abstract
Transgenerational epigenetic inheritance in mammals remains a controversial phenomenon. A recent study by Takahashi et al. provides evidence for this mode of inheritance in mice by using a CRISPR/Cas9-based epigenetic editing technique to modify DNA methylation levels at specific promoters and then demonstrating the inheritance of the gain in methylation in offspring. In this technical commentary, we argue that the method used in the original study inherently amplifies the likelihood of genetic changes that thereafter lead to the heritability of epigenetic changes. We provide evidence that genetic changes from multiple sources do indeed occur in these experiments and explore several avenues by which these changes could be causal to the apparent inheritance of epigenetic changes. We conclude a genetic basis of inheritance cannot be ruled out and thus transgenerational epigenetic inheritance has not been adequately established by the original study.
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Affiliation(s)
- Daniel M. Sapozhnikov
- Department of Pharmacology and Therapeutics, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
| | - Moshe Szyf
- Department of Pharmacology and Therapeutics, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
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2
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Khatib H, Townsend J, Konkel MA, Conidi G, Hasselkus JA. Calling the question: what is mammalian transgenerational epigenetic inheritance? Epigenetics 2024; 19:2333586. [PMID: 38525788 DOI: 10.1080/15592294.2024.2333586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 03/17/2024] [Indexed: 03/26/2024] Open
Abstract
While transgenerational epigenetic inheritance has been extensively documented in plants, nematodes, and fruit flies, its existence in mammals remains controversial. Several factors have contributed to this debate, including the lack of a clear distinction between intergenerational and transgenerational epigenetic inheritance (TEI), the inconsistency of some studies, the potential confounding effects of in-utero vs. epigenetic factors, and, most importantly, the biological challenge of epigenetic reprogramming. Two waves of epigenetic reprogramming occur: in the primordial germ cells and the developing embryo after fertilization, characterized by global erasure of DNA methylation and remodelling of histone modifications. Consequently, TEI can only occur if specific genetic regions evade this reprogramming and persist through embryonic development. These challenges have revived the long-standing debate about the possibility of inheriting acquired traits, which has been strongly contested since the Lamarckian and Darwinian eras. As a result, coupled with the absence of universally accepted criteria for transgenerational epigenetic studies, a vast body of literature has emerged claiming evidence of TEI. Therefore, the goal of this study is to advocate for establishing fundamental criteria that must be met for a study to qualify as evidence of TEI. We identified five criteria based on the consensus of studies that critically evaluated TEI. To assess whether published original research papers adhere to these criteria, we examined 80 studies that either claimed or were cited as supporting TEI. The findings of this analysis underscore the widespread confusion in this field and highlight the urgent need for a unified scientific consensus on TEI requirements.
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Affiliation(s)
- Hasan Khatib
- The Department of Animal and Dairy Sciences, The University of Wisconsin, Madison, WI, USA
| | - Jessica Townsend
- The Department of Animal and Dairy Sciences, The University of Wisconsin, Madison, WI, USA
| | - Melissa A Konkel
- The Department of Animal and Dairy Sciences, The University of Wisconsin, Madison, WI, USA
| | - Gabi Conidi
- The Department of Animal and Dairy Sciences, The University of Wisconsin, Madison, WI, USA
| | - Julia A Hasselkus
- The Department of Animal and Dairy Sciences, The University of Wisconsin, Madison, WI, USA
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Tinker RJ, Bastarache L, Ezell K, Neumann SM, Furuta Y, Morgan KA, Phillips JA. Data from electronic healthcare records expand our understanding of X-linked genetic diseases. Am J Med Genet A 2024; 194:e63527. [PMID: 38229216 DOI: 10.1002/ajmg.a.63527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 01/18/2024]
Abstract
Disease specific cohort studies have reported details on X linked (XL) disorders affecting females. We investigated the spectrum and penetrance of XL disorders seen in electronic health records (EHR). We generated a cohort of individuals diagnosed with XL disorders at Vanderbilt University Medical Center over 20 years. Our cohort included 477 males and 203 females diagnosed with 108 different XL genetic disorders. We found large differences between the female/male (F/M) ratios for various XL disorders regardless of their OMIM annotated mode of inheritance. We identified four XL recessive disorders affecting women previously only described in men. Biomarkers for XL disease had unique gender-specific patterns differing between modes of inheritance. EHRs provide large cohorts of XL genetic disorders that give new insights compared to the literature. Differences in the F/M ratios and biomarkers of XL disorders observed likely result from disease specific and sex dependent penetrance. We conclude that observed gender ratios associated with specific XL disorders may be more useful than those predicted by Mendelian genetics provided by OMIM. Our findings of a gender specific penetrance and severity for XL disorders show unexpected differences from Mendelian predictions. Further work is required to validate our findings in larger combined EHR cohorts.
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Affiliation(s)
- Rory J Tinker
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly Ezell
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Serena M Neumann
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yutaka Furuta
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Karee A Morgan
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John A Phillips
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Soliman AA, Ibrahim MA, Mousa MI, Mansour E, He Y, Yu H. Genetic potential and inheritance pattern of agronomic traits in faba bean under free and infested Orobanche soil conditions. BMC Plant Biol 2024; 24:301. [PMID: 38637775 PMCID: PMC11027393 DOI: 10.1186/s12870-024-05017-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/12/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Orobanche is an obligate parasite on faba bean in the Mediterranean region, causes considerable yield losses. Breeding tolerant faba bean genotypes to Orobanche is pivotal to sustain production and ensuring global food security, particularly considering the challenges posed by population growth. In the present study, seven faba bean lines and four testers were used in a line×tester mating design during 2020-2021 and 2021-2022 growing seasons. The eleven parents and their 28 F1 crosses were evaluated under Orobanche free and naturally infested soils. RESULTS The results demonstrated considerable variations among the evaluated genotypes, wide diversity among the parental materials, and heterotic effects for all studied agronomic traits under Orobanche-free and infested soils. Orbanche infestation displayed a significant adverse impact on all the studied agronomic traits. The genotypes Line1, Line2, Line3, and Line5 displayed superior performance under Orobanche-infested conditions and recorded the highest values of all studied agronomic traits. Additionally, Line1, Line2, Line3, Line5, and Line7 exhibited desirable significant GCA for most evaluated traits under the two infestation conditions. The obtained crosses displayed significant negative or positive heterosis for studied agronomic characters such as plant height, number of branches per plant, number of pods per plant, number of seeds per plant, and seed weight per plant were observed. Furthermore, specific cross combinations such as Line2×Sakha3, Line3×Nubaria5, Line7 × Nubaria5, Line6×Nubaria1, Line5×Sakha3, Line1×Sakha3, and Line1 × Nubaria5 exhibited superior performance in seed yield and contributing traits under Orobanche-infested conditions. Moreover, these specific crosses showed superior efficacy in reducing dry weight of Orobanche spikes. The results obtained from GGE biplot analysis closely aligned with those from the line×tester procedure, affirming the significance of GGE biplot as a valuable statistical tool for assessing genotype combining ability in line× tester data. Both additive and non-additive gene actions were reported to be predominantly involved in the inheritance of the studied agronomic traits in faba bean. CONCLUSIONS The detected genetic diversity within the evaluated faba bean genotypes and their developed crosses exhibits substantial potential for improving faba bean productivity under Orobanche-infested conditions. The parental genotypes, Line1, Line2, Line3, Line5, and Line7, were identified as effective and promising combiners. Moreover, the developed crosses Line2×Sakha3, Line3×Nubaria5, Line7×Nubaria5, Line6×Nubaria1, Line5×Sakha3, Line1×Sakha3, and Line1×Nubaria5 could be considered valuable candidates for developing high-yielding and tolerant faba bean genotypes to Orobanche.
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Affiliation(s)
- Alaa A Soliman
- Food Legumes Research Department, Agricultural Research Center, Field Crops Research Institute, Giza, 12619, Egypt
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Mohamed A Ibrahim
- Food Legumes Research Department, Agricultural Research Center, Field Crops Research Institute, Giza, 12619, Egypt
| | - Manar I Mousa
- Food Legumes Research Department, Agricultural Research Center, Field Crops Research Institute, Giza, 12619, Egypt
| | - Elsayed Mansour
- Department of Crop Science, Faculty of Agriculture, Zagazig University, Zagazig, 44519, Egypt.
| | - Yuhua He
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
| | - Haitian Yu
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
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Postel Z, Van Rossum F, Godé C, Schmitt E, Touzet P. Paternal leakage of plastids rescues inter-lineage hybrids in Silene nutans. Ann Bot 2024; 133:427-434. [PMID: 38141228 PMCID: PMC11006537 DOI: 10.1093/aob/mcad196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/20/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND AND AIMS Organelle genomes are usually maternally inherited in angiosperms. However, biparental inheritance has been observed, especially in hybrids resulting from crosses between divergent genetic lineages. When it concerns the plastid genome, this exceptional mode of inheritance might rescue inter-lineage hybrids suffering from plastid-nuclear incompatibilities. Genetically differentiated lineages of Silene nutans exhibit strong postzygotic isolation owing to plastid-nuclear incompatibilities, highlighted by inter-lineage hybrid chlorosis and mortality. Surviving hybrids can exhibit variegated leaves, which might indicate paternal leakage of the plastid genome. We tested whether the surviving hybrids inherited the paternal plastid genome and survived thanks to paternal leakage. METHODS We characterized the leaf phenotype (fully green, variegated or white) of 504 surviving inter-lineage hybrids obtained from a reciprocal cross experiment among populations of four genetic lineages (W1, W2, W3 and E1) of S. nutans from Western Europe and genotyped 560 leaf samples (both green and white leaves for variegated hybrids) using six lineage-specific plastid single nucleotide polymorphisms. KEY RESULTS A high proportion of the surviving hybrids (≤98 %) inherited the paternal plastid genome, indicating paternal leakage. The level of paternal leakage depended on cross type and cross direction. The E1 and W2 lineages as maternal lineages led to the highest hybrid mortality and to the highest paternal leakage from W1 and W3 lineages in the few surviving hybrids. This was consistent with E1 and W2 lineages, which contained the most divergent plastid genomes. When W3 was the mother, more hybrids survived, and no paternal leakage was detected. CONCLUSIONS By providing a plastid genome potentially more compatible with the hybrid nuclear background, paternal leakage has the potential to rescue inter-lineage hybrids from plastid-nuclear incompatibilities. This phenomenon might slow down the speciation process, provided hybrid survival and reproduction can occur in the wild.
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Affiliation(s)
- Zoé Postel
- Univ Lille, CNRS, UMR 8198 – Evo-Eco-Paleo, F-59000 Lille, France
- Department of Ecology, Environment and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | - Fabienne Van Rossum
- Meise Botanic Garden, Nieuwelaan 38, BE-1860 Meise, Belgium
- Service général de l’Enseignement supérieur et de la Recherche scientifique, Fédération Wallonie Bruxelles, rue A. Lavallée 1, BE-1080 Brussels, Belgium
| | - Cécile Godé
- Univ Lille, CNRS, UMR 8198 – Evo-Eco-Paleo, F-59000 Lille, France
| | - Eric Schmitt
- Univ Lille, CNRS, UMR 8198 – Evo-Eco-Paleo, F-59000 Lille, France
| | - Pascal Touzet
- Univ Lille, CNRS, UMR 8198 – Evo-Eco-Paleo, F-59000 Lille, France
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Wynn J, O'Rourke SR, Hoskovec J, Perni SC. Response to the correspondence on "Performance of single-gene noninvasive prenatal testing for autosomal recessive conditions in a general population setting". Prenat Diagn 2024; 44:529-530. [PMID: 38193623 DOI: 10.1002/pd.6512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Affiliation(s)
- Julia Wynn
- BillionToOne, Inc, Menlo Park, California, USA
| | | | | | - Sriram C Perni
- Department of Obstetrics and Gynecology, Bon Secours Mercy Health, Mercy St. Vincent Medical Center, Toledo, Ohio, USA
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Zhang L, Duan Y, Zhang Z, Zhang L, Chen S, Cai C, Duan S, Zhang K, Li G, Cheng F. OcBSA: An NGS-based bulk segregant analysis tool for outcross populations. Mol Plant 2024; 17:648-657. [PMID: 38369755 DOI: 10.1016/j.molp.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 02/14/2024] [Accepted: 02/14/2024] [Indexed: 02/20/2024]
Abstract
Constructing inbred lines for self-incompatible species and species with long generation times is challenging, making the use of F1 outcross/segregating populations the main strategy for genetic studies of such species. However, there is a lack of dedicated algorithms/tools for rapid quantitative trait locus (QTL) mapping using the F1 populations. To this end, we have designed and developed an algorithm/tool called OcBSA specifically for QTL mapping of F1 populations. OcBSA transforms the four-haplotype inheritance problem from the two heterozygous diploid parents of the F1 population into the two-haplotype inheritance problem common in current genetic studies by removing the two haplotypes from the heterozygous parent that do not contribute to phenotype segregation in the F1 population. Testing of OcBSA on 1800 simulated F1 populations demonstrated its advantages over other currently available tools in terms of sensitivity and accuracy. In addition, the broad applicability of OcBSA was validated by QTL mapping using seven reported F1 populations of apple, pear, peach, citrus, grape, tea, and rice. We also used OcBSA to map the QTL for flower color in a newly constructed F1 population of potato generated in this study. The OcBSA mapping result was verified by the insertion or deletion markers to be consistent with a previously reported locus harboring the ANTHOCYANIN 2 gene, which regulates potato flower color. Taken together, these results highlight the power and broad utility of OcBSA for QTL mapping using F1 populations and thus a great potential for functional gene mining in outcrossing species. For ease of use, we have developed both Windows and Linux versions of OcBSA, which are freely available at: https://gitee.com/Bioinformaticslab/OcBSA.
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Affiliation(s)
- Lingkui Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yanfeng Duan
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zewei Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lei Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shumin Chen
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Chengcheng Cai
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shaoguang Duan
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Kang Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Guangcun Li
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Feng Cheng
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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8
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Shlyakhtina Y, Bloechl B, Moran KL, Portal MM. Protocol to study the inheritance and propagation of non-genetically encoded states using barcode decay lineage tracing. STAR Protoc 2024; 5:102809. [PMID: 38180835 PMCID: PMC10801334 DOI: 10.1016/j.xpro.2023.102809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 11/21/2023] [Accepted: 12/15/2023] [Indexed: 01/07/2024] Open
Abstract
Here, we present a protocol to perform barcode decay lineage tracing followed by single-cell transcriptome analysis (BdLT-Seq). We describe steps for BdLT-Seq experimental design, building barcoded episome reporters, performing episome transfection, and barcode retrieval. We then describe procedures for sequencing library construction while providing options for sample multiplexing and data analysis. This BdLT-Seq technique enables the assessment of clonal evolution in a directional manner while preserving isogeneity, thus allowing the comparison of non-genetic molecular features between isogenic cell lineages. For complete details on the use and execution of this protocol, please refer to Shlyakhtina et al. (2023).1.
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Affiliation(s)
- Yelyzaveta Shlyakhtina
- Cell Plasticity & Epigenetics Lab, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK; Cell Plasticity & Epigenetics Lab, Cancer Research UK - Cancer Research UK Scotland Institute, The University of Glasgow, Glasgow G61 1BD, UK
| | - Bianca Bloechl
- Cell Plasticity & Epigenetics Lab, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK; Cell Plasticity & Epigenetics Lab, Cancer Research UK - Cancer Research UK Scotland Institute, The University of Glasgow, Glasgow G61 1BD, UK
| | - Katherine L Moran
- Cell Plasticity & Epigenetics Lab, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
| | - Maximiliano M Portal
- Cell Plasticity & Epigenetics Lab, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK; Cell Plasticity & Epigenetics Lab, Cancer Research UK - Cancer Research UK Scotland Institute, The University of Glasgow, Glasgow G61 1BD, UK.
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Chelban V, Aksnes H, Maroofian R, LaMonica LC, Seabra L, Siggervåg A, Devic P, Shamseldin HE, Vandrovcova J, Murphy D, Richard AC, Quenez O, Bonnevalle A, Zanetti MN, Kaiyrzhanov R, Salpietro V, Efthymiou S, Schottlaender LV, Morsy H, Scardamaglia A, Tariq A, Pagnamenta AT, Pennavaria A, Krogstad LS, Bekkelund ÅK, Caiella A, Glomnes N, Brønstad KM, Tury S, Moreno De Luca A, Boland-Auge A, Olaso R, Deleuze JF, Anheim M, Cretin B, Vona B, Alajlan F, Abdulwahab F, Battini JL, İpek R, Bauer P, Zifarelli G, Gungor S, Kurul SH, Lochmuller H, Da'as SI, Fakhro KA, Gómez-Pascual A, Botía JA, Wood NW, Horvath R, Ernst AM, Rothman JE, McEntagart M, Crow YJ, Alkuraya FS, Nicolas G, Arnesen T, Houlden H. Biallelic NAA60 variants with impaired n-terminal acetylation capacity cause autosomal recessive primary familial brain calcifications. Nat Commun 2024; 15:2269. [PMID: 38480682 PMCID: PMC10937998 DOI: 10.1038/s41467-024-46354-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/23/2024] [Indexed: 03/17/2024] Open
Abstract
Primary familial brain calcification (PFBC) is characterized by calcium deposition in the brain, causing progressive movement disorders, psychiatric symptoms, and cognitive decline. PFBC is a heterogeneous disorder currently linked to variants in six different genes, but most patients remain genetically undiagnosed. Here, we identify biallelic NAA60 variants in ten individuals from seven families with autosomal recessive PFBC. The NAA60 variants lead to loss-of-function with lack of protein N-terminal (Nt)-acetylation activity. We show that the phosphate importer SLC20A2 is a substrate of NAA60 in vitro. In cells, loss of NAA60 caused reduced surface levels of SLC20A2 and a reduction in extracellular phosphate uptake. This study establishes NAA60 as a causal gene for PFBC, provides a possible biochemical explanation of its disease-causing mechanisms and underscores NAA60-mediated Nt-acetylation of transmembrane proteins as a fundamental process for healthy neurobiological functioning.
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Affiliation(s)
- Viorica Chelban
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK.
- Neurobiology and Medical Genetics Laboratory, "Nicolae Testemitanu" State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant Boulevard, MD, 2004, Chisinau, Republic of Moldova.
| | - Henriette Aksnes
- Department of Biomedicine, University of Bergen, Bergen, Norway.
| | - Reza Maroofian
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Lauren C LaMonica
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA
| | - Luis Seabra
- Université Paris Cité, Imagine Institute, Laboratory of Neurogenetics and Neuroinflammation, INSERM UMR 1163, Paris, France
| | | | - Perrine Devic
- Hospices Civils de Lyon, Groupement Hospitalier Sud, Service d'Explorations Fonctionnelles Neurologiques, Lyon, France
| | - Hanan E Shamseldin
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Jana Vandrovcova
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - David Murphy
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Anne-Claire Richard
- Univ Rouen Normandie, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, F-76000, Rouen, France
| | - Olivier Quenez
- Univ Rouen Normandie, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, F-76000, Rouen, France
| | - Antoine Bonnevalle
- Univ Rouen Normandie, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, F-76000, Rouen, France
| | - M Natalia Zanetti
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Rauan Kaiyrzhanov
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- South Kazakhstan Medical Academy Shymkent, Shymkent, 160019, Kazakhstan
| | - Vincenzo Salpietro
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Stephanie Efthymiou
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Lucia V Schottlaender
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Instituto de Investigaciones en Medicina Traslacional (IIMT), CONICET-Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ, Pilar, Argentina
- Instituto de medicina genómica (IMeG), Hospital Universitario Austral, Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ, Pilar, Argentina
| | - Heba Morsy
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Human Genetics, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Annarita Scardamaglia
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Ambreen Tariq
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Alistair T Pagnamenta
- Oxford NIHR Biomedical Research Centre, Wellcome Centre for Human Genetics, Oxford, United Kingdom
| | - Ajia Pennavaria
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Liv S Krogstad
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Åse K Bekkelund
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Alessia Caiella
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Nina Glomnes
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Clinical Science, University of Bergen, 5020, Bergen, Norway
| | | | - Sandrine Tury
- Institut de Recherche en Infectiologie de Montpellier, Université de Montpellier, CNRS, Montpellier, France
| | - Andrés Moreno De Luca
- Department of Radiology, Autism & Developmental Medicine Institute, Geisinger, Lewisburg, PA, USA
- Department of Radiology, Neuroradiology Section, Kingston Health Sciences Centre, Queen's University Faculty of Health Sciences, Kingston, Ontario, Canada
| | - Anne Boland-Auge
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Robert Olaso
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Mathieu Anheim
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine (FMTS), Strasbourg University, Strasbourg, France
- INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - Benjamin Cretin
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine (FMTS), Strasbourg University, Strasbourg, France
- INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - Barbara Vona
- Institute of Human Genetics, University Medical Center Göttingen, 37073, Göttingen, Germany
- Institute for Auditory Neuroscience and InnerEarLab, University Medical Center Göttingen, 37075, Göttingen, Germany
| | - Fahad Alajlan
- Department of Neuroscience Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Firdous Abdulwahab
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Jean-Luc Battini
- Institut de Recherche en Infectiologie de Montpellier, Université de Montpellier, CNRS, Montpellier, France
| | - Rojan İpek
- Paediatric Neurology, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Peter Bauer
- Centogene GmbH, Am Strande 7, 18055, Rostock, Germany
| | | | - Serdal Gungor
- Inonu University, Faculty of Medicine, Turgut Ozal Research Center, Department of Pediatrics, Division of Pediatric Neurology, Malatya, Turkey
| | - Semra Hiz Kurul
- Dokuz Eylul University, School of Medicine, Department of Paediatric Neurology, Izmir, Turkey
| | - Hanns Lochmuller
- Children's Hospital of Eastern Ontario Research Institute and Division of Neurology, Department of Medicine, The Ottawa Hospital, Ottawa, Canada
- Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada
- Department of Neuropediatrics and Muscle Disorders, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Sahar I Da'as
- Department of Human Genetics, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Khalid A Fakhro
- Department of Human Genetics, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Weill Cornell Medical College, Doha, Qatar
| | - Alicia Gómez-Pascual
- Department of Information and Communications Engineering, University of Murcia, Campus Espinardo, 30100, Murcia, Spain
| | - Juan A Botía
- Department of Information and Communications Engineering, University of Murcia, Campus Espinardo, 30100, Murcia, Spain
| | - Nicholas W Wood
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Neurogenetics Laboratory, The National Hospital for Neurology and Neurosurgery, London, WC1N 3BG, UK
| | - Rita Horvath
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Andreas M Ernst
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA
- School of Biological Sciences, Department of Cell and Developmental Biology, University of California San Diego, La Jolla, CA, USA
| | - James E Rothman
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Meriel McEntagart
- Medical Genetics Department, St George's University Hospitals, London, SWI7 0RE, UK
| | - Yanick J Crow
- Université Paris Cité, Imagine Institute, Laboratory of Neurogenetics and Neuroinflammation, INSERM UMR 1163, Paris, France
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
- Department of Anatomy and Cell Biology, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Gaël Nicolas
- Univ Rouen Normandie, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, F-76000, Rouen, France
| | - Thomas Arnesen
- Department of Biomedicine, University of Bergen, Bergen, Norway.
- Department of Surgery, Haukeland University Hospital, Bergen, Norway.
| | - Henry Houlden
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK.
- Neurogenetics Laboratory, The National Hospital for Neurology and Neurosurgery, London, WC1N 3BG, UK.
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10
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Garte S. Accurate phenotypic self-replication as a necessary cause for biological evolution. Biosystems 2024; 237:105154. [PMID: 38346554 DOI: 10.1016/j.biosystems.2024.105154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/29/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
Since the Origin of Species, it has been known that evolution depends on what Darwin called the "strong principle of inheritance." Highly accurate replication of cellular phenotype is a universal phenomenon in all of life since LUCA and is often taken for granted as a constant in evolutionary theory. It is not known how self-replication arose during the origin of life. In this report I use the simple mathematics of evolutionary theory to investigate the dynamics of self-replication accuracy and allelic selection. Results indicate that the degree of self-replication accuracy must be greater than a threshold related to the selection coefficients of the alleles in a population in order for evolution to occur. Accurate replication of cellular phenotype and of the molecules involved in genotype/phenotype linkage is necessary for the origin of evolution and may be considered the fundamental principle of life.
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Affiliation(s)
- Seymour Garte
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, 160 Frelinghuysen Road, Piscataway, NJ, 08854-8020, USA.
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11
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Khosrowabadi E, Mignon-Ravix C, Riccardi F, Cacciagli P, Desnous B, Sigaudy S, Milh M, Villard L, Kjellén L, Molinari F. Loss of NDST1 N-sulfotransferase activity is associated with autosomal recessive intellectual disability. Hum Mol Genet 2024; 33:520-529. [PMID: 38129107 DOI: 10.1093/hmg/ddad203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/11/2023] [Accepted: 11/22/2023] [Indexed: 12/23/2023] Open
Abstract
Intellectual Disability (ID) is the major cause of handicap, affecting nearly 3% of the general population, and is highly genetically heterogenous with more than a thousand genes involved. Exome sequencing performed in two independent families identified the same missense variant, p.(Gly611Ser), in the NDST1 (N-deacetylase/N-sulfotransferase member 1) gene. This variant had been previously found in ID patients of two other families but has never been functionally characterized. The NDST1 gene encodes a bifunctional enzyme that catalyzes both N-deacetylation and N-sulfation of N-acetyl-glucosamine residues during heparan sulfate (HS) biosynthesis. This step is essential because it influences the downstream enzymatic modifications and thereby determines the overall structure and sulfation degree of the HS polysaccharide chain. To discriminate between a rare polymorphism and a pathogenic variant, we compared the enzymatic properties of wild-type and mutant NDST1 proteins. We found that the p.(Gly611Ser) variant results in a complete loss of N-sulfotransferase activity while the N-deacetylase activity is retained. NDST1 shows the highest and the most homogeneous expression in the human cerebral structures compared to the other members of the NDST gene family. These results indicate that a loss of NDST1 N-sulfation activity is associated with impaired cognitive functions.
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Affiliation(s)
- Elham Khosrowabadi
- Department of Medical Biochemistry and Microbiology, The Biomedical Center, Husargatan 3, 751 23 Uppsala, Sweden
| | - Cécile Mignon-Ravix
- Aix-Marseille Univ, INSERM, MMG, Centre de génétique médicale de Marseille, 27 Bd Jean Moulin, 13385 Marseille Cedex 05, France
| | - Florence Riccardi
- Aix-Marseille Univ, INSERM, MMG, Centre de génétique médicale de Marseille, 27 Bd Jean Moulin, 13385 Marseille Cedex 05, France
- Département de Génétique Médicale, Hôpital Ste Musse, 54 Rue Henri Sainte-Claire Deville, 83100 Toulon, France
| | - Pierre Cacciagli
- Biological Resource Center, Assistance Publique des Hôpitaux de Marseille, Hôpital Timone Enfants, 264 rue Saint Pierre, 13385 Marseille cedex 05, France
| | - Béatrice Desnous
- Service de Neuropédiatrie, AP-HM, Hôpital Timone Enfants, 264 rue Saint Pierre, 13385 Marseille cedex 05, France
| | - Sabine Sigaudy
- Service de Génétique Clinique, AP-HM, Hôpital Timone Enfants, 264 rue Saint Pierre, 13385 Marseille cedex 05, France
| | - Mathieu Milh
- Aix-Marseille Univ, INSERM, MMG, Centre de génétique médicale de Marseille, 27 Bd Jean Moulin, 13385 Marseille Cedex 05, France
- Service de Neuropédiatrie, AP-HM, Hôpital Timone Enfants, 264 rue Saint Pierre, 13385 Marseille cedex 05, France
| | - Laurent Villard
- Aix-Marseille Univ, INSERM, MMG, Centre de génétique médicale de Marseille, 27 Bd Jean Moulin, 13385 Marseille Cedex 05, France
- Département de Génétique Médicale, AP-HM, Hôpital Timone Enfants, 264 rue Saint Pierre, 13385 Marseille cedex 05, France
| | - Lena Kjellén
- Department of Medical Biochemistry and Microbiology, The Biomedical Center, Husargatan 3, 751 23 Uppsala, Sweden
| | - Florence Molinari
- Aix-Marseille Univ, INSERM, MMG, Centre de génétique médicale de Marseille, 27 Bd Jean Moulin, 13385 Marseille Cedex 05, France
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12
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Angelini C, Rodríguez AA. Assessment of the quality of life in patients with LGMD. The case of transportinopathy. Acta Myol 2024; 43:16-20. [PMID: 38586165 PMCID: PMC10997037 DOI: 10.36185/2532-1900-397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 01/15/2024] [Indexed: 04/09/2024]
Abstract
The Quality of Life (QOL) is influenced by several disease-related factors, support, resources, expectations, and aspirations, within the disease-related concepts. The Individualized Neuromuscular Quality of Life (INQoL) is a validated muscle disease-specific measure of the QoL developed from the experiences of patients with muscle disease and can be used for people or large cohorts. This review of QoL in transportinopathy cases reports adjustments in an autosomal dominant (AD) LGMD, and a comparison is made with autosomal recessive (AR) LGMD evaluated by INQoL. The locus for this form of LGMD with AD inheritance was found on chromosome 7, and then identification of the gene and its encoded protein (transportin-3) was obtained in 2013. A large three-generation family with several branches in Spain and Italy was previously reported and described in detail. Some patients had an early onset weakness, but others had an adult onset of the disease, as late as 58 years. The severity of the appearance of the phenotype is correlated with QoL and progresses with age. Assessing the impact on their QoL is particularly relevant to know whether the treatment is reducing their suffering.
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Affiliation(s)
| | - Alicia Aurora Rodríguez
- Neuro-e-Motion Research Team, Faculty of Psychology and Education, University of Deusto, Av. Universidades, Bilbao, Spain
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13
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Satariano M, Ghose S, Raina R. The Pathophysiology of Inherited Renal Cystic Diseases. Genes (Basel) 2024; 15:91. [PMID: 38254980 PMCID: PMC10815569 DOI: 10.3390/genes15010091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Renal cystic diseases (RCDs) can arise from utero to early adulthood and present with a variety of symptoms including renal, hepatic, and cardiovascular manifestations. It is well known that common RCDs such as autosomal polycystic kidney disease and autosomal recessive kidney disease are linked to genes such as PKD1 and PKHD1, respectively. However, it is important to investigate the genetic pathophysiology of how these gene mutations lead to clinical symptoms and include some of the less-studied RCDs, such as autosomal dominant tubulointerstitial kidney disease, multicystic dysplastic kidney, Zellweger syndrome, calyceal diverticula, and more. We plan to take a thorough look into the genetic involvement and clinical sequalae of a number of RCDs with the goal of helping to guide diagnosis, counseling, and treatment.
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Affiliation(s)
- Matthew Satariano
- Department of Medicine, Northeast Ohio Medical University, Rootstown, OH 44272, USA; (M.S.); (S.G.)
| | - Shaarav Ghose
- Department of Medicine, Northeast Ohio Medical University, Rootstown, OH 44272, USA; (M.S.); (S.G.)
| | - Rupesh Raina
- Akron Nephrology Associates, Cleveland Clinic Akron General Medical Center, Akron, OH 44307, USA
- Department of Nephrology, Akron Children’s Hospital, Akron, OH 44308, USA
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14
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Kavlak AT, Uimari P. Inheritance of feed intake-based resilience traits and their correlation with production traits in Finnish pig breeds. J Anim Sci 2024; 102:skae037. [PMID: 38330238 DOI: 10.1093/jas/skae037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/06/2024] [Indexed: 02/10/2024] Open
Abstract
High resilience against diseases, changing environmental conditions, and other stress factors and the ability to efficiently recover to normal status, is becoming increasingly important in pig production. Finding new phenotypes that relate to resilience is a crucial step for improving the resilience of pigs through selection. The objective of this study was to extract resilience-related phenotypes based on fluctuations in daily feed intake (DFI, g) and time spent in feeding per day (TPD, min) and to estimate the heritability of these traits and genetic correlations with production traits (PT). Resilience-related traits with high enough heritability and with either favorable or neutral genetic correlation with PT could be used in the selection program to improve the productivity and welfare of pigs. In this study, we used data from 7,347 Finnish Yorkshire, Landrace, and crossbred pigs raised at the test station. Six pig-specific resilience-related phenotypes were extracted from the individual DFI and TPD: root mean square error (RMSE), quantile regression (QR), and coefficient of variation (CV). RMSE was calculated from the differences between the actual DFI (or TPD) and the pig-specific predicted values. QR was based on the number of days that a pig belonged to the group with the lowest 5% of pigs based on DFI (or TPD), and CV was calculated over the daily observations of DFI (or TPD). PT included average daily gain (ADG, g), backfat thickness (BF, mm), and feed conversion rate (FCR, g/g). The heritability estimates for resilience-related traits varied between 0.07 ± 0.02 (QRDFI) and 0.20 ± 0.03 (RMSETPD). The genetic correlations between resilience-related traits and PT were mostly neutral, but for example, RMSEDFI had a favorable genetic correlation with FCR and BF but an unfavorable correlation with ADG. Lastly, we observed that pigs belonging to the lowest 10% group based on their breeding value (BV) for QRTPD had a lower proportion (10% incidence) of sick days compared to the highest 10% BV group (30% incidence). Therefore, pigs exhibiting small TPD variation (related to high resilience) tend to be less susceptible to sickness than pigs with large TPD variation (related to low resilience). Given its moderate heritability, neutral genetic correlation with PT, and positive effect on health, QRTPD can be considered the most promising resilience-related trait in the Finnish production system.
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Affiliation(s)
- Alper T Kavlak
- Department of Agricultural Sciences, University of Helsinki, Helsinki 00014, Finland
| | - Pekka Uimari
- Department of Agricultural Sciences, University of Helsinki, Helsinki 00014, Finland
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15
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Bertolini A, Rigoldi M, Cianflone A, Mariani R, Piperno A, Canonico F, Cefalo G, Carubbi F, Simonati A, Urban ML, Beccari T, Parini R. Long-term outcome of a cohort of Italian patients affected with alpha-Mannosidosis. Clin Dysmorphol 2024; 33:1-8. [PMID: 37791705 PMCID: PMC10702697 DOI: 10.1097/mcd.0000000000000474] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/28/2023] [Indexed: 10/05/2023]
Abstract
Alpha-mannosidosis (MIM #248500) is an ultra-rare autosomal recessive lysosomal storage disease with multi-system involvement and a wide phenotypic spectrum. Information on long-term outcomes remains poor. We present the long-term outcomes (median, 19 years) of nine patients with alpha-mannosidosis, three females and six males, followed at a single center. The findings of the nine patients were collected from medical records and reported as mean ± SD or median, and range. The age of onset of the first symptoms ranged from 0-1 to 10 years. The diagnostic delay ranged from 2 to 22 years (median= 11 years). Coarse face, hearing, heart valves, joints, gait, language, dysarthria, psychiatric symptoms, I.Q., MRI, walking disabilities, orthopedic disturbances and surgeries showed a slow worsening over the decades. Our patients showed a slowly worsening progressive outcome over the decades. Psychiatric symptoms were present in 100% of our population and improved with the appropriate pharmacological intervention. This aspect requires attention when following up on these patients. Our description of the long-term evolution of alpha-mannosidosis patients may provide basic knowledge for understanding the effects of specific treatments.
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Affiliation(s)
- Anna Bertolini
- Rare Diseases Unit, Department of Medicine and Surgery, San Gerardo Hospital IRCCS, University of Milano-Bicocca, Monza, Italy
| | - Miriam Rigoldi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Clinical Research Center for Rare Diseases Aldo e Cele Daccò, Bergamo, Italy
| | - Annalia Cianflone
- Rare Diseases Unit, Department of Medicine and Surgery, San Gerardo Hospital IRCCS, University of Milano-Bicocca, Monza, Italy
| | - Raffaella Mariani
- Rare Diseases Unit, Department of Medicine and Surgery, San Gerardo Hospital IRCCS, University of Milano-Bicocca, Monza, Italy
| | - Alberto Piperno
- Rare Diseases Unit, Department of Medicine and Surgery, San Gerardo Hospital IRCCS, University of Milano-Bicocca, Monza, Italy
| | - Francesco Canonico
- Department of Radiology, San Gerardo Hospital IRCCS, University of Milano-Bicocca, Monza, Italy
| | - Graziella Cefalo
- Clinical Department of Pediatrics, San Paolo Hospital, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy
| | - Francesca Carubbi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, NOCSAE Hospital, AOU Modena, Modena, Italy
| | - Alessandro Simonati
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona School of Medicine, Verona, Italy
| | - Maria Letizia Urban
- Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy
| | - Tommaso Beccari
- Department of Pharmaceutical Sciences; University of Perugia, Perugia, Italy
| | - Rossella Parini
- Rare Diseases Unit, Department of Medicine and Surgery, San Gerardo Hospital IRCCS, University of Milano-Bicocca, Monza, Italy
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16
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Zhang J, Liu H, Wang M, Xu Y, Zhu D, Yang F. Autosomal recessive intellectual disability caused by compound heterozygous variants of the EEF1D gene in a Chinese family. Mol Genet Genomic Med 2024; 12:e2333. [PMID: 38083972 PMCID: PMC10767685 DOI: 10.1002/mgg3.2333] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 09/23/2023] [Accepted: 11/28/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND Intellectual disability is a prevalent neurodevelopmental disorder, with the majority of affected children exhibiting global developmental delay before the age of 5 years. In recent years, certain children have been found to carry homozygous variations of the EEF1D gene, leading to autosomal recessive intellectual disability. However, the pathogenicity of compound heterozygous variations in this gene remains largely unknown. METHODS Trio whole-exome sequencing and copy number variation sequencing were done for the genetic etiological diagnosis of a 3-year and 11-month-old Chinese boy who presented with brachycephaly, severe to profound global developmental delay, and hypotonia in the lower limbs. RESULTS In this case, compound heterozygous variants of the EEF1D gene were found in the child through trio whole-exome sequencing; one was a splice variant (NM_032378.6:c.1905+1G>A) inherited from his father, and the other was a nonsense variant (NM_032378.6:c.676C>T) inherited from his mother. The nonsense variant leads to the production of a premature termination (p.Gln226*). These variations have the ability to explain the clinical phenotypes of the child. CONCLUSIONS Our study expands the variation spectrum and provides compelling evidence for EEF1D as a candidate gene for autosomal recessive intellectual disability. However, due to the deficient number of reported cases, researchers need to further study EEF1D and supplement the clinical phenotypes and treatment measures.
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Affiliation(s)
- Jiamei Zhang
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research CenterThird Affiliated Hospital and Institute of Neuroscience of Zhengzhou UniversityZhengzhouChina
| | - Hongxing Liu
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research CenterThird Affiliated Hospital and Institute of Neuroscience of Zhengzhou UniversityZhengzhouChina
| | - Mingmei Wang
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research CenterThird Affiliated Hospital and Institute of Neuroscience of Zhengzhou UniversityZhengzhouChina
| | - Yiran Xu
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research CenterThird Affiliated Hospital and Institute of Neuroscience of Zhengzhou UniversityZhengzhouChina
- Commission Key Laboratory of Birth Defects PreventionHenan Key Laboratory of Population Defects PreventionZhengzhouChina
| | - Dengna Zhu
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research CenterThird Affiliated Hospital and Institute of Neuroscience of Zhengzhou UniversityZhengzhouChina
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17
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Krasnova M, Efremova A, Bukhonin A, Zhekaite E, Bukharova T, Melyanovskaya Y, Goldshtein D, Kondratyeva E. The Effect of Complex Alleles of the CFTR Gene on the Clinical Manifestations of Cystic Fibrosis and the Effectiveness of Targeted Therapy. Int J Mol Sci 2023; 25:114. [PMID: 38203285 PMCID: PMC10779438 DOI: 10.3390/ijms25010114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
The authors of this article analyzed the available literature with the results of studying the prevalence of complex alleles of the CFTR gene among patients with cystic fibrosis, and their pathogenicity and influence on targeted therapy with CFTR modulators. Cystic fibrosis (CF) is a multisystemic autosomal recessive disease caused by a defect in the expression of the CFTR protein, and more than 2000 genetic variants are known. Clinically significant variants are divided into seven classes. Information about the frequency of complex alleles appears in a number of registers, along with the traditional presentation of data on genetic variants. Complex alleles (those with the presence of more than two nucleotide variants on one allele) can complicate the diagnosis of the disease, and change the clinical manifestations of cystic fibrosis and the response to treatment, since each variant in the complex allele can contribute to the functional activity of the CFTR protein, changing it both in terms of increasing and decreasing function. The role of complex alleles is often underestimated, and their frequency has not been studied. At the moment, characteristic frequently encountered complex alleles have been found for several populations of patients with cystic fibrosis, but the prevalence and pathogenicity of newly detected complex alleles require additional research. In this review, more than 35 complex alleles of the CFTR gene from existing research studies were analyzed, and an analysis of their influence on the manifestations of the disease and the effectiveness of CFTR modulators was also described.
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Affiliation(s)
| | - Anna Efremova
- Research Centre for Medical Genetics, Moscow 115522, Russia; (M.K.); (A.B.); (E.Z.); (T.B.); (Y.M.); (D.G.); (E.K.)
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18
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Hames A, Khan S, Gilliland C, Goldman L, Lo HW, Magda K, Keathley J. Carriers of autosomal recessive conditions: are they really 'unaffected?'. J Med Genet 2023; 61:1-7. [PMID: 37775265 DOI: 10.1136/jmg-2023-109563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/11/2023] [Indexed: 10/01/2023]
Abstract
Mendel's Law of Dominance suggests that recessive disease expression requires the inheritance of two mutated alleles as the dominant, wildtype allele suppresses disease presentation leading to the expression of physiological normal phenotypes. However, there is existing evidence that challenges this school of thought. Here, we summarise existing literature evaluating metabolic and health impacts among carriers of autosomal recessive conditions, focusing on phenylketonuria (PKU), classical homocystinuria, galactosemia and Usher syndrome as examples. Our findings suggest that carriers, often described as 'unaffected', may actually display attenuated symptoms for the recessive disease they are carrying. For instance, PKU is an inborn error of metabolism characterised by the build-up of plasma phenylalanine attributed to the deficiency of the phenylalanine hydroxylase (PAH) enzyme. While less severe, PKU carriers also exhibit this impaired enzymatic activity, leading to elevated plasma phenylalanine levels, especially after phenylalanine consumption. Related to these metabolic alterations in the PAH pathway, there is early evidence to suggest that PKU carriers may have compromised cognitive and mental health outcomes. Overall, research on the health and metabolic impacts of PKU carriers is sparse, with most studies conducted several decades ago. However, early evidence suggests that intermediate phenotypes among carriers of autosomal recessive conditions are plausible. The illustrated possible intermediate phenotypes observed among carriers necessitates future research to determine possible clinical implications among this population.
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Affiliation(s)
- Amber Hames
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, Southwestern Ontario, Canada
| | - Sophia Khan
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Southwestern Ontario, Canada
| | - Clara Gilliland
- Department of Food Science, University of Guelph, Guelph, Southwestern Ontario, Canada
| | - Lucy Goldman
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Southwestern Ontario, Canada
| | - Hillary Wh Lo
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, Southwestern Ontario, Canada
| | - Kevin Magda
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Southwestern Ontario, Canada
- Department of Biomedical Sciences, University of Guelph, Guelph, Southwestern Ontario, Canada
| | - Justine Keathley
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Southwestern Ontario, Canada
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AlAbdi L, Shamseldin HE, Khouj E, Helaby R, Aljamal B, Alqahtani M, Almulhim A, Hamid H, Hashem MO, Abdulwahab F, Abouyousef O, Jaafar A, Alshidi T, Al-Owain M, Alhashem A, Al Tala S, Khan AO, Mardawi E, Alkuraya H, Faqeih E, Afqi M, Alkhalifi S, Rahbeeni Z, Hagos ST, Al-Ahmadi W, Nadeef S, Maddirevula S, Khabar KSA, Putra A, Angelov A, Park C, Reyes-Ramos AM, Umer H, Ullah I, Driguez P, Fukasawa Y, Cheung MS, Gallouzi IE, Alkuraya FS. Beyond the exome: utility of long-read whole genome sequencing in exome-negative autosomal recessive diseases. Genome Med 2023; 15:114. [PMID: 38098057 PMCID: PMC10720148 DOI: 10.1186/s13073-023-01270-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 12/05/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Long-read whole genome sequencing (lrWGS) has the potential to address the technical limitations of exome sequencing in ways not possible by short-read WGS. However, its utility in autosomal recessive Mendelian diseases is largely unknown. METHODS In a cohort of 34 families in which the suspected autosomal recessive diseases remained undiagnosed by exome sequencing, lrWGS was performed on the Pacific Bioscience Sequel IIe platform. RESULTS Likely causal variants were identified in 13 (38%) of the cohort. These include (1) a homozygous splicing SV in TYMS as a novel candidate gene for lethal neonatal lactic acidosis, (2) a homozygous non-coding SV that we propose impacts STK25 expression and causes a novel neurodevelopmental disorder, (3) a compound heterozygous SV in RP1L1 with complex inheritance pattern in a family with inherited retinal disease, (4) homozygous deep intronic variants in LEMD2 and SNAP91 as novel candidate genes for neurodevelopmental disorders in two families, and (5) a promoter SNV in SLC4A4 causing non-syndromic band keratopathy. Surprisingly, we also encountered causal variants that could have been identified by short-read exome sequencing in 7 families. The latter highlight scenarios that are especially challenging at the interpretation level. CONCLUSIONS Our data highlight the continued need to address the interpretation challenges in parallel with efforts to improve the sequencing technology itself. We propose a path forward for the implementation of lrWGS sequencing in the setting of autosomal recessive diseases in a way that maximizes its utility.
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Affiliation(s)
- Lama AlAbdi
- Department of Zoology, Collage of Science, King Saud University, Riyadh, Saudi Arabia
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Hanan E Shamseldin
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ebtissal Khouj
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Rana Helaby
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Bayan Aljamal
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mashael Alqahtani
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Aisha Almulhim
- Department of Zoology, Collage of Science, King Saud University, Riyadh, Saudi Arabia
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Halima Hamid
- Department of Zoology, Collage of Science, King Saud University, Riyadh, Saudi Arabia
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mais O Hashem
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Firdous Abdulwahab
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Omar Abouyousef
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Amal Jaafar
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Tarfa Alshidi
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mohammed Al-Owain
- Department of Medical Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
- Collage of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Amal Alhashem
- Collage of Medicine, Alfaisal University, Riyadh, Saudi Arabia
- Pediatric Department, Division of Genetic and Metabolic Medicine, Prince Sultan Medical Military City, Riyadh, Saudi Arabia
| | - Saeed Al Tala
- Pediatric Department, Neonatal Unit, Armed Forces Hospital, Khamis Mushayt, Saudi Arabia
| | - Arif O Khan
- Eye Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
- Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Elham Mardawi
- Maternal Fetal Medicine, Security Forces Hospital Program, Riyadh, Saudi Arabia
| | - Hisham Alkuraya
- Vitreoretinal Surgery and Ocular Genetics, Global Eye Care/Specialized Medical Center Hospital, Riyadh, Saudi Arabia
| | - Eissa Faqeih
- Section of Medical Genetics, King Fahad Medical City, Children's Specialist Hospital, Riyadh, Saudi Arabia
| | - Manal Afqi
- Metabolic and Genetic Center, King Salman Bin Abdulaziz Medical City, Almadinah Almunwarah, Saudi Arabia
| | - Salwa Alkhalifi
- Newborn Screening, Ministry of Health, Eastern Province, Saudi Arabia
| | - Zuhair Rahbeeni
- Department of Medical Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Samya T Hagos
- Department of Clinical Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Wijdan Al-Ahmadi
- Department of Molecular Biomedicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Seba Nadeef
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Sateesh Maddirevula
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Khalid S A Khabar
- Department of Molecular Biomedicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Alexander Putra
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Angel Angelov
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Changsook Park
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Ana M Reyes-Ramos
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Husen Umer
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Ikram Ullah
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Patrick Driguez
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Yoshinori Fukasawa
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Ming Sin Cheung
- King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Saudi Arabia
| | - Imed Eddine Gallouzi
- KAUST Smart-Health Initiative King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
- KAUST Smart-Health Initiative King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
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20
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Chen Y, Wu W, Wang P, Yip P, Wu Y, Lin Y, Lin W. Novel five nucleotide deletion in dysferlin leads to autosomal recessive limb-girdle muscular dystrophy. Physiol Rep 2023; 11:e15887. [PMID: 38110300 PMCID: PMC10727958 DOI: 10.14814/phy2.15887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 12/20/2023] Open
Abstract
Muscular dystrophy (MD) is a genetic disorder that causes progressive muscle weakness and degeneration. Limb-girdle muscular dystrophy (LGMD) is a type of MD that mainly causes muscle atrophy within the shoulder and pelvic girdles. LGMD is classified into autosomal dominant (LGMD-D) and autosomal recessive (LGMD-R) inheritance patterns. Mutations in the Dysferlin gene (DYSF) are common causes of LGMD-R. However, genetic screening of DYSF mutations is rare in Taiwan. Herein, we identified a novel c.2867_2871del ACCAG deletion and a previously reported c.937+1G>A mutation in DYSF from a Taiwanese family with LGMD. The primary symptoms of both siblings were difficulty climbing stairs, walking on the toes, and gradually worsening weakness in the proximal muscles and increased creatine kinase level. Through pedigree analysis and sequencing, two siblings from this family were found to have compound heterozygous DYSF mutations (c. 937+1G>A and c. 2867_2871del ACCAG) within the separated alleles. These mutations induced early stop codons; if translated, truncated DYSF proteins will be expressed. Or, the mRNA products of these two mutations will merit the nonsense-mediated decay, might result in no dysferlin protein expressed. To our knowledge, this is the first report of a novel c.2867_2871del ACCAG deletion in DYSF. Further research is required to examine the effects of the novel DYSF mutation in Taiwanese patients with LGMD.
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Affiliation(s)
- Yen‐Lin Chen
- Center for Precision Medicine and Genomics, Tri‐Service General HospitalMedical Defense Medical CenterTaipeiTaiwan
- Department of Pathology, Tri‐Service General HospitalMedical Defense Medical CenterTaipeiTaiwan
| | - Wen‐Bin Wu
- School of Medicine, College of MedicineFu Je Catholic UniversityNew Taipei CityTaiwan
| | - Pei Wang
- School of Medicine, College of MedicineFu Je Catholic UniversityNew Taipei CityTaiwan
| | - Ping‐Keung Yip
- School of Medicine, College of MedicineFu Je Catholic UniversityNew Taipei CityTaiwan
- Division of NeurologyCardinal Tien HospitalNew Taipei CityTaiwan
| | - Yi‐No Wu
- School of Medicine, College of MedicineFu Je Catholic UniversityNew Taipei CityTaiwan
| | - Ying‐Hung Lin
- Graduate Institute of Biomedical and Pharmaceutical ScienceFu Jen Catholic UniversityNew Taipei CityTaiwan
| | - Wei‐Ning Lin
- Graduate Institute of Biomedical and Pharmaceutical ScienceFu Jen Catholic UniversityNew Taipei CityTaiwan
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21
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Öberg S, Sæter AH, Rosenberg J. The inheritance of groin hernias: an updated systematic review with meta-analyses. Hernia 2023; 27:1339-1350. [PMID: 36443569 DOI: 10.1007/s10029-022-02718-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/13/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE The aim of this systematic review was to assess the inheritance of groin hernias. METHODS The primary outcome was to assess the inheritance based on the family history of groin hernias. We included studies that reported family history in patients with groin hernias, assessed the development of groin hernias in patients with a positive family history, or assessed the development of groin hernias in twins. Searches were conducted in PubMed, EMBASE, and Cochrane CENTRAL in November 2021. Results were synthesized narratively and with meta-analyses. RESULTS Twenty-two studies with unique participants were included. While two twin studies did not show convincing results of a genetic origin in children, database studies with low risk of bias showed that a positive history in parents or siblings increased the risk of inguinal hernia in children, and the risk was highest between mothers and daughters and between sisters. In adults, patients with inguinal hernia had higher odds of having a positive family history compared with patients without groin hernia (odds ratio 5.3, 95% confidence interval 3.3-8.7), and a nationwide study found the highest risk of inguinal hernia repair when a sister had been repaired compared with a brother. This study also found that having a sibling repaired for a groin hernia increased the risk of femoral hernia repair. CONCLUSION Despite studies being heterogeneous, there is overwhelming evidence that a positive family history is a risk factor for developing inguinal hernia in both children and adults, seemingly with a pronounced female-female inheritance pattern.
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Affiliation(s)
- S Öberg
- Center for Perioperative Optimization, Department of Surgery, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
| | - A H Sæter
- Center for Perioperative Optimization, Department of Surgery, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - J Rosenberg
- Center for Perioperative Optimization, Department of Surgery, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
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22
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Kereszturi É. Diversity and Classification of Genetic Variations in Autism Spectrum Disorder. Int J Mol Sci 2023; 24:16768. [PMID: 38069091 PMCID: PMC10706722 DOI: 10.3390/ijms242316768] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/19/2023] [Accepted: 11/25/2023] [Indexed: 12/18/2023] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition with symptoms that affect the whole personality and all aspects of life. Although there is a high degree of heterogeneity in both its etiology and its characteristic behavioral patterns, the disorder is well-captured along the autistic triad. Currently, ASD status can be confirmed following an assessment of behavioral features, but there is a growing emphasis on conceptualizing autism as a spectrum, which allows for establishing a diagnosis based on the level of support need, free of discrete categories. Since ASD has a high genetic predominance, the number of genetic variations identified in the background of the condition is increasing exponentially as genetic testing methods are rapidly evolving. However, due to the huge amount of data to be analyzed, grouping the different DNA variations is still challenging. Therefore, in the present review, a multidimensional classification scheme was developed to accommodate most of the currently known genetic variants associated with autism. Genetic variations have been grouped according to six criteria (extent, time of onset, information content, frequency, number of genes involved, inheritance pattern), which are themselves not discrete categories, but form a coherent continuum in line with the autism spectrum approach.
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Affiliation(s)
- Éva Kereszturi
- Department of Molecular Biology, Semmelweis University, H-1085 Budapest, Hungary
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23
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Perdomo-González DI, Id-Lahoucine S, Molina A, Cánovas A, Laseca N, Azor PJ, Valera M. Transmission ratio distortion detection by neutral genetic markers in the Pura Raza Española horse breed. Animal 2023; 17:101012. [PMID: 37950978 DOI: 10.1016/j.animal.2023.101012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 11/13/2023] Open
Abstract
Transmission Ratio Distortion (TRD) is a genetic phenomenon widely demonstrated in several livestock species, but barely in equine species. The TRD occurs when certain genotypes are over- or under-represented in the offspring of a particular mating and can be caused by a variety of factors during gamete formation or during embryonic development. For this study, 126 394 trios consisting of a stallion, mare, and offspring were genotyped using a panel of 17 neutral microsatellite markers recommended by the International Society for Animal Genetics for paternity tests and individual identification. The number of alleles available for each marker ranges from 13 to 18, been 268 the total number of alleles investigated. The TRDscan v.2.0 software was used with the biallelic procedure to identify regions with distorted segregation ratios. After completing the analysis, a total of 12 alleles (out of 11 microsatellites) were identified with decisive evidence for genotypic TRD; 3 and 9 with additive and heterosis patterns, respectively. In addition, 19 alleles (out of 10 microsatellites) were identified displaying allelic TRD. Among them, 14 and 5 were parent-unspecific and stallion-mare-specific TRD. Out of the TRD regions, 24 genes were identified and annotated, predominantly associated with cholesterol metabolism and homeostasis. These genes are often linked to non-specific symptoms like impaired fertility, stunted growth, and compromised overall health. The results suggest a significant impact on the inheritance of certain genetic traits in horses. Further analysis and validation are needed to better understand the TRD impact before the potential implementation in the horse breeding programme strategies.
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Affiliation(s)
| | - S Id-Lahoucine
- Department of Animal and Veterinary Science, Scotland's Rural College, Easter Bush, Edinburgh EH25 9RG, United Kingdom
| | - A Molina
- Departamento de Genética, Universidad de Córdoba, Córdoba 14014, Spain
| | - A Cánovas
- Center of Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - N Laseca
- Departamento de Genética, Universidad de Córdoba, Córdoba 14014, Spain
| | - P J Azor
- Real Asociación Nacional de Criadores de Caballos de Pura Raza Española (ANCCE), Sevilla 41014, Spain
| | - M Valera
- Departamento de Agronomía, ETSIA, Universidad de Sevilla, Sevilla 41005, Spain
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24
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van der Hout S, Woudstra AJ, Dondorp W, Sallevelt S, de Die-Smulders C, Paulussen ADC, de Wert G. Consanguineous couples' experiences and views regarding expanded carrier screening: Barriers and facilitators in the decision-making process. Eur J Hum Genet 2023; 31:1317-1322. [PMID: 37280360 PMCID: PMC10242213 DOI: 10.1038/s41431-023-01402-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 05/12/2023] [Accepted: 05/22/2023] [Indexed: 06/08/2023] Open
Abstract
Expanded carrier screening (ECS) entails a screening offer for multiple recessive disorders at the same time, and allows testing of individuals or couples regardless of ancestry or geographic origin. Children of consanguineous couples have a higher-than-average risk of manifesting autosomal recessive disorders. This study aims to contribute to the responsible implementation of ECS for consanguineous couples. Seven semi-structured interviews were conducted with consanguineous couples who had recently participated in Whole Exome Sequencing (WES)-based ECS at Maastricht University Medical Center (MUMC+), the Netherlands. The test offered at MUMC+ covers a large number of disease-related genes (~2000), including severe, relatively mild, early- and late-onset disorders. Respondents were interviewed about their views on, and experiences with participation in WES-based ECS. Overall, participation was experienced as worthwhile: it enabled respondents to make informed choices with regard to family planning as well as to take on the presumed parental responsibility to deliver their children as healthy as possible. Furthermore, our findings suggest that (1) true consent for having this test requires timely information about the possible implications of a positive test result for specific categories of findings, as well as about the success rates of the available reproductive options; (2) the clinical geneticist can play a pivotal part in informing participants as well as providing clear information about autosomal recessive inheritance; (3) more research is needed to explore what type of genetic risk information is considered 'meaningful' by participants and actually contributes to reproductive decision-making.
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Affiliation(s)
- Sanne van der Hout
- Department of Health, Ethics & Society, CAPHRI-School for Public Health and Primary Care and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
| | - Anke J Woudstra
- Department of Health, Ethics & Society, CAPHRI-School for Public Health and Primary Care and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
| | - Wybo Dondorp
- Department of Health, Ethics & Society, CAPHRI-School for Public Health and Primary Care and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Suzanne Sallevelt
- Paediatric and Reproductive Genetics Unit, Women's and Children's Hospital, Adelaide, Australia
| | - Christine de Die-Smulders
- Department of Clinical Genetics, Maastricht University Medical Center and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Aimee D C Paulussen
- Department of Clinical Genetics, Maastricht University Medical Center and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Guido de Wert
- Department of Health, Ethics & Society, CAPHRI-School for Public Health and Primary Care and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
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25
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Heng J, Heng HH. Karyotype as code of codes: An inheritance platform to shape the pattern and scale of evolution. Biosystems 2023; 233:105016. [PMID: 37659678 DOI: 10.1016/j.biosystems.2023.105016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/04/2023]
Abstract
Organismal evolution displays complex dynamics in phase and scale which seem to trend towards increasing biocomplexity and diversity. For over a century, such amazing dynamics have been cleverly explained by the apparently straightforward mechanism of natural selection: all diversification, including speciation, results from the gradual accumulation of small beneficial or near-neutral alterations over long timescales. However, although this has been widely accepted, natural selection makes a crucial assumption that has not yet been validated. Specifically, the informational relationship between small microevolutionary alterations and large macroevolutionary changes in natural selection is unclear. To address the macroevolution-microevolution relationship, it is crucial to incorporate the concept of organic codes and particularly the "karyotype code" which defines macroevolutionary changes. This concept piece examines the karyotype from the perspective of two-phased evolution and four key components of information management. It offers insight into how the karyotype creates and preserves information that defines the scale and phase of macroevolution and, by extension, microevolution. We briefly describe the relationship between the karyotype code, the genetic code, and other organic codes in the context of generating evolutionary novelties in macroevolution and imposing constraints on them as biological routines in microevolution. Our analyses suggest that karyotype coding preserves many organic codes by providing system-level inheritance, and similar analyses are needed to classify and prioritize a large number of different organic codes based on the phases and scales of evolution. Finally, the importance of natural information self-creation is briefly discussed, leading to a call to integrate information and time into the relationship between matter and energy.
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Affiliation(s)
- Julie Heng
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Henry H Heng
- Molecular Medicine and Genomics, Wayne State University School of Medicine, Detroit, MI, 48201, USA; Department of Pathology, Wayne State University School of Medicine, Detroit, MI, 48201, USA.
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26
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Gu H, Wen J, Zhao X, Zhang X, Ren X, Cheng H, Qu L. Evolution, Inheritance, and Strata Formation of the W Chromosome in Duck (Anas platyrhynchos). Genome Biol Evol 2023; 15:evad183. [PMID: 37931036 PMCID: PMC10630070 DOI: 10.1093/gbe/evad183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 11/08/2023] Open
Abstract
The nonrecombining female-limited W chromosome is predicted to experience unique evolutionary processes. Difficulties in assembling W chromosome sequences have hindered the identification of duck W-linked sequences and their evolutionary footprint. To address this, we conducted three initial contig-level genome assemblies and developed a rigorous pipeline by which to successfully expand the W-linked data set, including 11 known genes and 24 newly identified genes. Our results indicate that the W chromosome expression may not be subject to female-specific selection; a significant convergent pattern of upregulation associated with increased female-specific selection was not detected. The genetic stability of the W chromosome is also reflected in the strong evolutionary correlation between it and the mitochondria; the complete consistency of the cladogram topology constructed from their gene sequences proves the shared maternal coevolution. By detecting the evolutionary trajectories of W-linked sequences, we have found that recombination suppression started in four distinct strata, of which three were conserved across Neognathae. Taken together, our results have revealed a unique evolutionary pattern and an independent stratum evolutionary pattern for sex chromosomes.
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Affiliation(s)
- Hongchang Gu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Junhui Wen
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiurong Zhao
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xinye Zhang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xufang Ren
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Huan Cheng
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
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27
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Urtizberea JA, Severa G, Ropars J, Malfatti E. [The Schwartz-Jampel syndrome]. Med Sci (Paris) 2023; 39 Hors série n° 1:37-46. [PMID: 37975769 DOI: 10.1051/medsci/2023133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023] Open
Abstract
The Schwartz-Jampel syndrome (SJS, OMIM #255800) is an ultra-rare genetic disease characterized by myotonic manifestations combined with bone and cartilage abnormalities. Following an autosomal recessive mode of inheritance, its prevalence is more significant in highly-inbred areas. The unraveling of the HSPG2 gene encoding a protein of the basal lamina enabled a better nosological delineation of the syndrome. The diagnosis is usually strongly suspected at the clinical level and then confirmed by molecular biology. To date, the treatment remains essentially symptomatic.
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Josephs KS, Roberts AM, Theotokis P, Walsh R, Ostrowski PJ, Edwards M, Fleming A, Thaxton C, Roberts JD, Care M, Zareba W, Adler A, Sturm AC, Tadros R, Novelli V, Owens E, Bronicki L, Jarinova O, Callewaert B, Peters S, Lumbers T, Jordan E, Asatryan B, Krishnan N, Hershberger RE, Chahal CAA, Landstrom AP, James C, McNally EM, Judge DP, van Tintelen P, Wilde A, Gollob M, Ingles J, Ware JS. Beyond gene-disease validity: capturing structured data on inheritance, allelic requirement, disease-relevant variant classes, and disease mechanism for inherited cardiac conditions. Genome Med 2023; 15:86. [PMID: 37872640 PMCID: PMC10594882 DOI: 10.1186/s13073-023-01246-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 10/12/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND As the availability of genomic testing grows, variant interpretation will increasingly be performed by genomic generalists, rather than domain-specific experts. Demand is rising for laboratories to accurately classify variants in inherited cardiac condition (ICC) genes, including secondary findings. METHODS We analyse evidence for inheritance patterns, allelic requirement, disease mechanism and disease-relevant variant classes for 65 ClinGen-curated ICC gene-disease pairs. We present this information for the first time in a structured dataset, CardiacG2P, and assess application in genomic variant filtering. RESULTS For 36/65 gene-disease pairs, loss of function is not an established disease mechanism, and protein truncating variants are not known to be pathogenic. Using the CardiacG2P dataset as an initial variant filter allows for efficient variant prioritisation whilst maintaining a high sensitivity for retaining pathogenic variants compared with two other variant filtering approaches. CONCLUSIONS Access to evidence-based structured data representing disease mechanism and allelic requirement aids variant filtering and analysis and is a pre-requisite for scalable genomic testing.
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Affiliation(s)
- Katherine S Josephs
- National Heart and Lung Institute, Imperial College London, Du Cane Road, London, W12 0NN, UK
- Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Angharad M Roberts
- National Heart and Lung Institute, Imperial College London, Du Cane Road, London, W12 0NN, UK
- Great Ormond Street Hospital, NHS Foundation Trust, London, UK
| | - Pantazis Theotokis
- National Heart and Lung Institute, Imperial College London, Du Cane Road, London, W12 0NN, UK
| | - Roddy Walsh
- Amsterdam University Medical Centre, University of Amsterdam, Heart Center, Department of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | | | - Matthew Edwards
- Clinical Genetics & Genomics Lab, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Andrew Fleming
- Clinical Genetics & Genomics Lab, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Courtney Thaxton
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason D Roberts
- Population Health Research Institute, McMaster University, and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Melanie Care
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
- Division of Cardiology, Toronto General Hospital, Toronto, Canada
| | - Wojciech Zareba
- Clinical Cardiovascular Research Center, University of Rochester, Rochester, NY, USA
| | - Arnon Adler
- Division of Cardiology, Peter Munk Cardiac Centre, University Health Network and Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Rafik Tadros
- Cardiovascular Genetics Center, Montreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Valeria Novelli
- Unit of Immunology and Functional Genomics, Centro Cardiologico Monzino IRCCS, Milano, Italy
| | - Emma Owens
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lucas Bronicki
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Department of Genetics, CHEO, Ottawa, Ontario, Canada
| | - Olga Jarinova
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Department of Genetics, CHEO, Ottawa, Ontario, Canada
| | - Bert Callewaert
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Stacey Peters
- Department of Cardiology and Genomic Medicine, Royal Melbourne Hospital, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
| | - Tom Lumbers
- Barts Health & University College London Hospitals NHS Trusts, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Elizabeth Jordan
- Divisions of Human Genetics and Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA
| | - Babken Asatryan
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Neesha Krishnan
- Centre for Population Genomics, Garvan Institute of Medical Research, and UNSW Sydney, Sydney, Australia
| | - Ray E Hershberger
- Divisions of Human Genetics and Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA
| | - C Anwar A Chahal
- Center for Inherited Cardiovascular Diseases, WellSpan Health, Lancaster, PA, USA
- Cardiac Electrophysiology and Inherited Cardiovascular Diseases, Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Andrew P Landstrom
- Department of Pediatrics and Cell Biology, Duke University School of Medicine, Durham, NC, USA
| | - Cynthia James
- Johns Hopkins Center for Inherited Heart Diseases, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Elizabeth M McNally
- Center for Genetic Medicine, Dept of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Daniel P Judge
- Medical University of South Carolina, Charleston, SC, USA
| | - Peter van Tintelen
- Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Arthur Wilde
- Department of Cardiology, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Heart Failure and Arrhythmias, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
| | - Michael Gollob
- Inherited Arrhythmia and Cardiomyopathy Program, Division of Cardiology, University of Toronto, Toronto, ON, Canada
| | - Jodie Ingles
- Centre for Population Genomics, Garvan Institute of Medical Research, and UNSW Sydney, Sydney, Australia
| | - James S Ware
- National Heart and Lung Institute, Imperial College London, Du Cane Road, London, W12 0NN, UK.
- Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
- MRC London Institute of Medical Sciences, Imperial College London, London, UK.
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29
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Wang C, Niu J, Wei L, Li C, Li G, Tian Q, Ju M, Ma Q, Cao H, Duan Y, Guo H, Zhang H, Miao H. A 4.43-Kb deletion of chromosomal segment containing an ovate family protein confers long capsule in sesame (Sesamum indicum L.). Theor Appl Genet 2023; 136:221. [PMID: 37819543 DOI: 10.1007/s00122-023-04465-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/14/2023] [Indexed: 10/13/2023]
Abstract
KEY MESSAGE A 4.43-Kb structural variation in the sesame genome results in the deletion of the Siofp1 gene and induces the long capsule length trait. Capsule length (CL) has a positive effect on seed weight and yield in various agronomically important species; however, the molecular mechanism underlying long capsule trait regulation in sesame remains unknown. The inheritance analysis showed that long capsule traits (CL > 4.0 cm) were dominant over normal length (average CL = 3.0 cm) and were controlled by a single gene pair. Association mapping with a RIL population and 259 natural sesame germplasm accessions indicated that the target interval was 52,830-730,961 bp of SiChr.10 in sesame. Meanwhile, the structural variation (SV) of the association mapping revealed that only SV_414325 on chromosome 10 was significantly associated with the CL trait, with a P value of 1.1135E-19. SV_414325 represents a 4430-bp deletion from 414,325 to 418,756 bp on SiChr.10, covering Sindi_2155000 (named SiOFP1). In the normal length type, Siofp1 encodes 411 amino acids of the ovate family proteins and is highly expressed in the leaf, stem, bud, and capsule tissues of sesame. In accordance with the transcriptional repressor character, Siofp1 overexpression in transgenic Arabidopsis (T0 and T1 generations) induced a 25-39% greater shortening of silique length than the wild type (P < 0.05), as well as round cauline leaves and short carpels. These results confirm that SiOFP1 plays a key role in regulating CL trait in sesame and other flowering plants. These findings provide a theoretical and material basis for sesame capsule development and high-yield breeding research.
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Affiliation(s)
- Cuiying Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Jiaojiao Niu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Libin Wei
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Chun Li
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- The Shennong Laboratory, Zhengzhou, 450002, Henan, China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Guiting Li
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Qiuzhen Tian
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Ming Ju
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Qin Ma
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Hengchun Cao
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Yinghui Duan
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- The Shennong Laboratory, Zhengzhou, 450002, Henan, China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Hui Guo
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Haiyang Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China.
- The Shennong Laboratory, Zhengzhou, 450002, Henan, China.
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
| | - Hongmei Miao
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, People's Republic of China.
- Key Laboratory of Specific Oilseed Crops Genomics of Henan Province, Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
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30
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Prigent I, Mullon C. The molding of intraspecific trait variation by selection under ecological inheritance. Evolution 2023; 77:2144-2161. [PMID: 37459126 DOI: 10.1093/evolut/qpad124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 05/04/2023] [Accepted: 05/29/2023] [Indexed: 10/05/2023]
Abstract
Organisms continuously modify their environment, often impacting the fitness of future conspecifics due to ecological inheritance. When this inheritance is biased toward kin, selection favors modifications that increase the fitness of downstream individuals. How such selection shapes trait variation within populations remains poorly understood. Using mathematical modelling, we investigate the coevolution of multiple traits in a group-structured population when these traits affect the group environment, which is then bequeathed to future generations. We examine when such coevolution favors polymorphism as well as the resulting associations among traits. We find in particular that two traits become associated when one trait affects the environment while the other influences the likelihood that future kin experience this environment. To illustrate this, we model the coevolution of (a) the attack rate on a local renewable resource, which deteriorates environmental conditions, with (b) dispersal between groups, which reduces the likelihood that kin suffers from such deterioration. We show this often leads to the emergence of two highly differentiated morphs: one that readily disperses and depletes local resources, and another that maintains these resources and tends to remain philopatric. More broadly, we suggest that ecological inheritance can contribute to phenotypic diversity and lead to complex polymorphism.
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Affiliation(s)
- Iris Prigent
- Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
| | - Charles Mullon
- Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
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31
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Abstract
Artificial intelligence recommendations are sometimes erroneous and biased. In our research, we hypothesized that people who perform a (simulated) medical diagnostic task assisted by a biased AI system will reproduce the model's bias in their own decisions, even when they move to a context without AI support. In three experiments, participants completed a medical-themed classification task with or without the help of a biased AI system. The biased recommendations by the AI influenced participants' decisions. Moreover, when those participants, assisted by the AI, moved on to perform the task without assistance, they made the same errors as the AI had made during the previous phase. Thus, participants' responses mimicked AI bias even when the AI was no longer making suggestions. These results provide evidence of human inheritance of AI bias.
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Affiliation(s)
- Lucía Vicente
- Department of Psychology, Deusto University, Avenida Universidades 24, 48007, Bilbao, Spain
| | - Helena Matute
- Department of Psychology, Deusto University, Avenida Universidades 24, 48007, Bilbao, Spain.
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32
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Paskov K, Chrisman B, Stockham N, Washington PY, Dunlap K, Jung JY, Wall DP. Identifying crossovers and shared genetic material in whole genome sequencing data from families. Genome Res 2023; 33:1747-1756. [PMID: 37879861 PMCID: PMC10691535 DOI: 10.1101/gr.277172.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/12/2023] [Indexed: 10/27/2023]
Abstract
Large, whole-genome sequencing (WGS) data sets containing families provide an important opportunity to identify crossovers and shared genetic material in siblings. However, the high variant calling error rates of WGS in some areas of the genome can result in spurious crossover calls, and the special inheritance status of the X Chromosome presents challenges. We have developed a hidden Markov model that addresses these issues by modeling the inheritance of variants in families in the presence of error-prone regions and inherited deletions. We call our method PhasingFamilies. We validate PhasingFamilies using the platinum genome family NA1281 (precision: 0.81; recall: 0.97), as well as simulated genomes with known crossover positions (precision: 0.93; recall: 0.92). Using 1925 quads from the Simons Simplex Collection, we found that PhasingFamilies resolves crossovers to a median resolution of 3527.5 bp. These crossovers recapitulate existing recombination rate maps, including for the X Chromosome; produce sibling pair IBD that matches expected distributions; and are validated by the haplotype estimation tool SHAPEIT. We provide an efficient, open-source implementation of PhasingFamilies that can be used to identify crossovers from family sequencing data.
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Affiliation(s)
- Kelley Paskov
- Department of Biomedical Data Science, Stanford University, Stanford, California 94305, USA;
| | - Brianna Chrisman
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA
| | - Nathaniel Stockham
- Department of Neuroscience, Stanford University, Stanford, California 94305, USA
| | | | - Kaitlyn Dunlap
- Department of Biomedical Data Science, Stanford University, Stanford, California 94305, USA
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA
| | - Jae-Yoon Jung
- Department of Biomedical Data Science, Stanford University, Stanford, California 94305, USA
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA
| | - Dennis P Wall
- Department of Biomedical Data Science, Stanford University, Stanford, California 94305, USA
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA
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33
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Mirchi A, Guay SP, Tran LT, Wolf NI, Vanderver A, Brais B, Sylvain M, Pohl D, Rossignol E, Saito M, Moutton S, González-Gutiérrez-Solana L, Thiffault I, Kruer MC, Moron DG, Kauffman M, Goizet C, Sztriha L, Glamuzina E, Melançon SB, Naidu S, Retrouvey JM, Lacombe S, Bernardino-Cuesta B, De Bie I, Bernard G. Craniofacial features of POLR3-related leukodystrophy caused by biallelic variants in POLR3A, POLR3B and POLR1C. J Med Genet 2023; 60:1026-1034. [PMID: 37197783 PMCID: PMC10579516 DOI: 10.1136/jmg-2023-109223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/16/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND RNA polymerase III-related or 4H leukodystrophy (POLR3-HLD) is an autosomal recessive hypomyelinating leukodystrophy characterized by neurological dysfunction, hypodontia and hypogonadotropic hypogonadism. The disease is caused by biallelic pathogenic variants in POLR3A, POLR3B, POLR1C or POLR3K. Craniofacial abnormalities reminiscent of Treacher Collins syndrome have been originally described in patients with POLR3-HLD caused by biallelic pathogenic variants in POLR1C. To date, no published studies have appraised in detail the craniofacial features of patients with POLR3-HLD. In this work, the specific craniofacial characteristics of patients with POLR3-HLD associated with biallelic pathogenic variants in POLR3A, POLR3B and POLR1C are described. METHODS The craniofacial features of 31 patients with POLR3-HLD were evaluated, and potential genotype-phenotype associations were evaluated. RESULTS Various craniofacial abnormalities were recognized in this patient cohort, with each individual presenting at least one craniofacial abnormality. The most frequently identified features included a flat midface (61.3%), a smooth philtrum (58.0%) and a pointed chin (51.6%). In patients with POLR3B biallelic variants, a thin upper lip was frequent. Craniofacial anomalies involving the forehead were most commonly associated with biallelic variants in POLR3A and POLR3B while a higher proportion of patients with POLR1C biallelic variants demonstrated bitemporal narrowing. CONCLUSION Through this study, we demonstrated that craniofacial abnormalities are common in patients with POLR3-HLD. This report describes in detail the dysmorphic features of POLR3-HLD associated with biallelic variants in POLR3A, POLR3B and POLR1C.
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Affiliation(s)
- Amytice Mirchi
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Simon-Pierre Guay
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Specialized Medicine, Division of Medical Genetics, McGill University Health Center, Montreal, Quebec, Canada
| | - Luan T Tran
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Nicole I Wolf
- Department of Child Neurology, Amsterdam Leukodystrophy Center, Emma Children's Hospital, Amsterdam University Medical Centers, and Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Vrije Universiteit, Amsterdam, Netherlands
| | - Adeline Vanderver
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Bernard Brais
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Michel Sylvain
- Centre Mère Enfant, CHU de Québec, Québec City, Quebec, Canada
| | - Daniela Pohl
- Division of Neurology, Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, Ontario, Canada
| | - Elsa Rossignol
- Departments of Neurosciences and Pediatrics, CHU-Sainte-Justine, Université de Montréal, Montreal, Quebec, Canada
| | - Michael Saito
- Department of Pediatrics, University of California Riverside School of Medicine, Riverside Medical Clinic, Riverside, California, USA
| | - Sebastien Moutton
- Centre Pluridisciplinaire de Diagnostic PréNatal, MSPBordeaux Bagatelle, Talence, France
| | - Luis González-Gutiérrez-Solana
- Sección de Neuropediatría, Hospital Infantil Universitario Niño Jesús, Madrid, España; Grupo Clínico Vinculado al Centro de Investigación Biomédica en Red para Enfermedades Raras (CIBERER) GCV14/ER/6, Hospital Infantil Universitario Nino Jesus, Madrid, Spain
| | - Isabelle Thiffault
- Genomic Medicine Center, Children's Mercy Hospital, Kansas City, Missouri, USA
- University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Michael C Kruer
- Departments of Child Health, Neurology, and Cellular & Molecular Medicine and Program in Genetics, University of Arizona College of Medicine, Phoenix, Arizona, USA
- Programs in Neuroscience and Molecular & Cellular Biology, School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Pediatric Movement Disorders Program, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, Arizona, USA
| | - Dolores Gonzales Moron
- Neurogenetics Unit, Department of Neurology, Hospital JM Ramos Mejia, ADC, Buenos Aires, Argentina
| | - Marcelo Kauffman
- Neurogenetics Unit, Department of Neurology, Hospital JM Ramos Mejia and CONICET-Universidad Austral, Buenos Aires, Argentina
| | - Cyril Goizet
- Centre de Référence Neurogénétique, Service de Génétique Médicale, Bordeaux University Hospital, CHU Bordeaux, Bordeaux, France
- NRGEN team, INCIA, CNRS UMR 5287, University of Bordeaux, Bordeaux, France
| | - László Sztriha
- Department of Paediatrics, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Emma Glamuzina
- Adult and Paediatric National Metabolic Service, Starship Children's Hospital, Auckland, Te Whatu Ora, New Zealand
| | - Serge B Melançon
- Department of Medical Genetics, McGill University Health Centre, Montreal Children's Hospital, Montreal, Quebec, Canada
| | - Sakkubai Naidu
- Department of Neurogenetics, Kennedy Krieger Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Jean-Marc Retrouvey
- Department of Orthodontics, University of Missouri, Kansas City, Missouri, USA
| | - Suzanne Lacombe
- Department of Orthodontics, University of Missouri, Kansas City, Missouri, USA
| | | | - Isabelle De Bie
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Specialized Medicine, Division of Medical Genetics, McGill University Health Center, Montreal, Quebec, Canada
- Department of Laboratory Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Geneviève Bernard
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Specialized Medicine, Division of Medical Genetics, McGill University Health Center, Montreal, Quebec, Canada
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Jager K, Orozco-Hidalgo MT, Springstein BL, Joly-Smith E, Papazotos F, McDonough E, Fleming E, McCallum G, Yuan AH, Hilfinger A, Hochschild A, Potvin-Trottier L. Measuring prion propagation in single bacteria elucidates a mechanism of loss. Proc Natl Acad Sci U S A 2023; 120:e2221539120. [PMID: 37738299 PMCID: PMC10523482 DOI: 10.1073/pnas.2221539120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 07/26/2023] [Indexed: 09/24/2023] Open
Abstract
Prions are self-propagating protein aggregates formed by specific proteins that can adopt alternative folds. Prions were discovered as the cause of the fatal transmissible spongiform encephalopathies in mammals, but prions can also constitute nontoxic protein-based elements of inheritance in fungi and other species. Prion propagation has recently been shown to occur in bacteria for more than a hundred cell divisions, yet a fraction of cells in these lineages lost the prion through an unknown mechanism. Here, we investigate prion propagation in single bacterial cells as they divide using microfluidics and fluorescence microscopy. We show that the propagation occurs in two distinct modes. In a fraction of the population, cells had multiple small visible aggregates and lost the prion through random partitioning of aggregates to one of the two daughter cells at division. In the other subpopulation, cells had a stable large aggregate localized to the pole; upon division the mother cell retained this polar aggregate and a daughter cell was generated that contained small aggregates. Extending our findings to prion domains from two orthologous proteins, we observe similar propagation and loss properties. Our findings also provide support for the suggestion that bacterial prions can form more than one self-propagating state. We implement a stochastic version of the molecular model of prion propagation from yeast and mammals that recapitulates all the observed single-cell properties. This model highlights challenges for prion propagation that are unique to prokaryotes and illustrates the conservation of fundamental characteristics of prion propagation.
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Affiliation(s)
- Krista Jager
- Department of Biology, Concordia University, Montréal, QCH4B 1R6, Canada
| | | | | | - Euan Joly-Smith
- Department of Physics, University of Toronto, Toronto, ONM5S 1A7, Canada
| | - Fotini Papazotos
- Department of Biology, Concordia University, Montréal, QCH4B 1R6, Canada
| | | | - Eleanor Fleming
- Department of Microbiology, Harvard Medical School, Boston, MA02115
| | - Giselle McCallum
- Department of Biology, Concordia University, Montréal, QCH4B 1R6, Canada
| | - Andy H. Yuan
- Department of Cell Biology, Harvard Medical School, Boston, MA02115
| | - Andreas Hilfinger
- Department of Physics, University of Toronto, Toronto, ONM5S 1A7, Canada
- Department of Mathematics, University of Toronto, Toronto, ONM5S 2E4, Canada
- Department of Cell and Systems Biology, University of Toronto, Toronto, ONM5S 3G5, Canada
| | - Ann Hochschild
- Department of Microbiology, Harvard Medical School, Boston, MA02115
| | - Laurent Potvin-Trottier
- Department of Biology, Concordia University, Montréal, QCH4B 1R6, Canada
- Department of Physics, Concordia University, Montréal, QCH4B 1R6, Canada
- Center for Applied Synthetic Biology, Concordia University, Montréal, QCH4B 1R6, Canada
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Cheng X, Du F, Long X, Huang J. Genetic Inheritance Models of Non-Syndromic Cleft Lip with or without Palate: From Monogenic to Polygenic. Genes (Basel) 2023; 14:1859. [PMID: 37895208 PMCID: PMC10606748 DOI: 10.3390/genes14101859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
Non-syndromic cleft lip with or without palate (NSCL/P) is a prevalent birth defect that affects 1/500-1/1400 live births globally. The genetic basis of NSCL/P is intricate and involves both genetic and environmental factors. In the past few years, various genetic inheritance models have been proposed to elucidate the underlying mechanisms of NSCL/P. These models range from simple monogenic inheritance to more complex polygenic inheritance. Here, we present a comprehensive overview of the genetic inheritance model of NSCL/P exemplified by representative genes and regions from both monogenic and polygenic perspectives. We also summarize existing association studies and corresponding loci of NSCL/P within the Chinese population and highlight the potential of utilizing polygenic risk scores for risk stratification of NSCL/P. The potential application of polygenic models offers promising avenues for improved risk assessment and personalized approaches in the prevention and management of NSCL/P individuals.
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Affiliation(s)
- Xi Cheng
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (X.C.); (F.D.); (X.L.)
| | - Fengzhou Du
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (X.C.); (F.D.); (X.L.)
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing 100730, China
| | - Xiao Long
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (X.C.); (F.D.); (X.L.)
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing 100730, China
| | - Jiuzuo Huang
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (X.C.); (F.D.); (X.L.)
- Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing 100730, China
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David I, Ricard A. An improved transmissibility model to detect transgenerational transmitted environmental effects. Genet Sel Evol 2023; 55:66. [PMID: 37735633 PMCID: PMC10512618 DOI: 10.1186/s12711-023-00833-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 08/24/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Evolutionary studies have reported that non-genetic information can be inherited across generations (epigenetic marks, microbiota, cultural inheritance). Non-genetic information is considered to be a key element to explain the adaptation of wild species to environmental constraints because it lies at the root of the transgenerational transmission of environmental effects. The "transmissibility model" was proposed several years ago to better predict the transmissible potential of each animal by taking these diverse sources of inheritance into account in a global transmissible potential. We propose to improve this model to account for the influence of the environment on the global transmissible potential as well. This extension of the transmissibility model is the "transmissibility model with environment" that considers a covariance between transmissibility samplings of animals sharing the same environment. The null hypothesis of "no transmitted environmental effect" can be tested by comparing the two models using a likelihood ratio test (LRT). RESULTS We performed simulations that mimicked an experimental design consisting of two lines of animals with one exposed to a particular environment at a given generation. This enabled us to evaluate the performances of the transmissibility model with environment so as to detect and quantify transgenerational transmitted environmental effects. The power and the realized type I error of the LRT were compared to those of a T-test comparing the phenotype of the two lines, three generations after the environmental exposure for different sets of parameters. The power of the LRT ranged from 45 to 94%, whereas that of the T-test was always lower than 26%. In addition, the realized type I error of the T-test was 15% and that of the LRT was 5%, as expected. Variances, the covariance between transmissibility samplings, and path coefficients of transmission estimated with the transmissibility model with environment were close to their true values for all sets of parameters. CONCLUSIONS The transmissibility model with environment is effective in modeling vertical transmission of environmental effects.
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Affiliation(s)
- Ingrid David
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet Tolosan, France.
| | - Anne Ricard
- INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France
- Département Recherche et Innovation, Institut Français du Cheval et de l'équitation, 61310, Exmes, France
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Dong D, Shen H, Wang Z, Liu J, Li Z, Li X. An RNA-informed dosage sensitivity map reflects the intrinsic functional nature of genes. Am J Hum Genet 2023; 110:1509-1521. [PMID: 37619562 PMCID: PMC10502852 DOI: 10.1016/j.ajhg.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/04/2023] [Accepted: 08/04/2023] [Indexed: 08/26/2023] Open
Abstract
Understanding dosage sensitivity or why Mendelian diseases have dominant vs. recessive modes of inheritance is crucial for uncovering the etiology of human disease. Previous knowledge of dosage sensitivity is mainly based on observations of rare loss-of-function mutations or copy number changes, which are underpowered due to ultra rareness of such variants. Thus, the functional underpinnings of dosage constraint remain elusive. In this study, we aim to systematically quantify dosage perturbations from cis-regulatory variants in the general population to yield a tissue-specific dosage constraint map of genes and further explore their underlying functional logic. We reveal an inherent divergence of dosage constraints in genes by functional categories with signaling genes (transcription factors, protein kinases, ion channels, and cellular machinery) being dosage sensitive, while effector genes (transporters, metabolic enzymes, cytokines, and receptors) are generally dosage resilient. Instead of being a metric of functional dispensability, we show that dosage constraint reflects underlying homeostatic constraints arising from negative feedback. Finally, we employ machine learning to integrate DNA and RNA metrics to generate a comprehensive, tissue-specific map of dosage sensitivity (MoDs) for autosomal genes.
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Affiliation(s)
- Danyue Dong
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Haoyu Shen
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Zhenguo Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Jiaqi Liu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Zhe Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Xin Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
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Singer-Berk M, Gudmundsson S, Baxter S, Seaby EG, England E, Wood JC, Son RG, Watts NA, Karczewski KJ, Harrison SM, MacArthur DG, Rehm HL, O'Donnell-Luria A. Advanced variant classification framework reduces the false positive rate of predicted loss-of-function variants in population sequencing data. Am J Hum Genet 2023; 110:1496-1508. [PMID: 37633279 PMCID: PMC10502856 DOI: 10.1016/j.ajhg.2023.08.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 08/09/2023] [Accepted: 08/09/2023] [Indexed: 08/28/2023] Open
Abstract
Predicted loss of function (pLoF) variants are often highly deleterious and play an important role in disease biology, but many pLoF variants may not result in loss of function (LoF). Here we present a framework that advances interpretation of pLoF variants in research and clinical settings by considering three categories of LoF evasion: (1) predicted rescue by secondary sequence properties, (2) uncertain biological relevance, and (3) potential technical artifacts. We also provide recommendations on adjustments to ACMG/AMP guidelines' PVS1 criterion. Applying this framework to all high-confidence pLoF variants in 22 genes associated with autosomal-recessive disease from the Genome Aggregation Database (gnomAD v.2.1.1) revealed predicted LoF evasion or potential artifacts in 27.3% (304/1,113) of variants. The major reasons were location in the last exon, in a homopolymer repeat, in a low proportion expressed across transcripts (pext) scored region, or the presence of cryptic in-frame splice rescues. Variants predicted to evade LoF or to be potential artifacts were enriched for ClinVar benign variants. PVS1 was downgraded in 99.4% (162/163) of pLoF variants predicted as likely not LoF/not LoF, with 17.2% (28/163) downgraded as a result of our framework, adding to previous guidelines. Variant pathogenicity was affected (mostly from likely pathogenic to VUS) in 20 (71.4%) of these 28 variants. This framework guides assessment of pLoF variants beyond standard annotation pipelines and substantially reduces false positive rates, which is key to ensure accurate LoF variant prediction in both a research and clinical setting.
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Affiliation(s)
- Moriel Singer-Berk
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sanna Gudmundsson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Samantha Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Eleanor G Seaby
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Genomic Informatics Group, University Hospital Southampton, Southampton, UK
| | - Eleina England
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jordan C Wood
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Rachel G Son
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nicholas A Watts
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Konrad J Karczewski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Steven M Harrison
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Ambry Genetics, Aliso Viejo, CA, USA
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, NSW, Australia; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine & Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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Ütkür K, Mayer K, Khan M, Manivannan T, Schaffrath R, Brinkmann U. DPH1 and DPH2 variants that confer susceptibility to diphthamide deficiency syndrome in human cells and yeast models. Dis Model Mech 2023; 16:dmm050207. [PMID: 37675463 PMCID: PMC10538292 DOI: 10.1242/dmm.050207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 08/21/2023] [Indexed: 09/08/2023] Open
Abstract
The autosomal-recessive diphthamide deficiency syndrome presents as intellectual disability with developmental abnormalities, seizures, craniofacial and additional morphological phenotypes. It is caused by reduced activity of proteins that synthesize diphthamide on human translation elongation factor 2. Diphthamide synthesis requires seven proteins (DPH1-DPH7), with clinical deficiency described for DPH1, DPH2 and DPH5. A limited set of variant alleles from syndromic patients has been functionally analyzed, but databases (gnomAD) list additional so far uncharacterized variants in human DPH1 and DPH2. Because DPH enzymes are conserved among eukaryotes, their functionality can be assessed in yeast and mammalian cells. Our experimental assessment of known and uncharacterized DPH1 and DPH2 missense alleles showed that six variants are tolerated despite inter-species conservation. Ten additional human DPH1 (G113R, A114T, H132P, H132R, S136R, C137F, L138P, Y152C, S221P, H240R) and two DPH2 (H105P, C341Y) variants showed reduced functionality and hence are deficiency-susceptibility alleles. Some variants locate close to the active enzyme center and may affect catalysis, while others may impact on enzyme activation. In sum, our study has identified functionally compromised alleles of DPH1 and DPH2 genes that likely cause diphthamide deficiency syndrome.
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Affiliation(s)
- Koray Ütkür
- Institut für Biologie,Fachgebiet Mikrobiologie, Universität Kassel, 34132 Kassel, Germany
| | - Klaus Mayer
- Roche Pharma Research and Early Development (pRED), Large Molecule Research, Roche Innovation Center Munich, 82377 Penzberg, Germany
| | - Maliha Khan
- Institut für Biologie,Fachgebiet Mikrobiologie, Universität Kassel, 34132 Kassel, Germany
| | - Thirishika Manivannan
- Institut für Biologie,Fachgebiet Mikrobiologie, Universität Kassel, 34132 Kassel, Germany
| | - Raffael Schaffrath
- Institut für Biologie,Fachgebiet Mikrobiologie, Universität Kassel, 34132 Kassel, Germany
| | - Ulrich Brinkmann
- Roche Pharma Research and Early Development (pRED), Large Molecule Research, Roche Innovation Center Munich, 82377 Penzberg, Germany
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40
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Togashi T, Parker GA, Horinouchi Y. Mitochondrial uniparental inheritance achieved after fertilization challenges the nuclear-cytoplasmic conflict hypothesis for anisogamy evolution. Biol Lett 2023; 19:20230352. [PMID: 37752851 PMCID: PMC10523090 DOI: 10.1098/rsbl.2023.0352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 09/04/2023] [Indexed: 09/28/2023] Open
Abstract
In eukaryotes, a fundamental phenomenon underlying sexual selection is the evolution of gamete size dimorphism between the sexes (anisogamy) from an ancestral gametic system with gametes of the same size in both mating types (isogamy). The nuclear-cytoplasmic conflict hypothesis has been one of the major theoretical hypotheses for the evolution of anisogamy. It proposes that anisogamy evolved as an adaptation for preventing nuclear-cytoplasmic conflict by minimizing male gamete size to inherit organelles uniparentally. In ulvophycean green algae, biparental inheritance of organelles is observed in isogamous species, as the hypothesis assumes. So we tested the hypothesis by examining whether cytoplasmic inheritance is biparental in Monostroma angicava, a slightly anisogamous ulvophycean that produces large male gametes. We tracked the fates of mitochondria in intraspecific crosses with PCR-RFLP markers. We confirmed that mitochondria are maternally inherited. However, paternal mitochondria enter the zygote, where their DNA can be detected for over 14 days. This indicates that uniparental inheritance is enforced by eliminating paternal mitochondrial DNA in the zygote, rather than by decreasing male gamete size to the minimum. Thus, uniparental cytoplasmic inheritance is achieved by an entirely different mechanism, and is unlikely to drive the evolution of anisogamy in ulvophyceans.
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Affiliation(s)
- Tatsuya Togashi
- Marine Biosystems Research Center, Chiba University, Kamogawa 299-5502, Japan
| | - Geoff A. Parker
- Department of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool L69 7ZB, UK
| | - Yusuke Horinouchi
- Marine Biosystems Research Center, Chiba University, Kamogawa 299-5502, Japan
- Muroran Marine Station, Field Science Center for Northern Biosphere, Hokkaido University, Muroran 051-0013, Japan
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41
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Wynn J, Hoskovec J, Carter RD, Ross MJ, Perni SC. Performance of single-gene noninvasive prenatal testing for autosomal recessive conditions in a general population setting. Prenat Diagn 2023; 43:1344-1354. [PMID: 37674263 DOI: 10.1002/pd.6427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/01/2023] [Accepted: 08/16/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVE Carrier screening with reflex to single-gene noninvasive prenatal testing (sgNIPT) is an alternative approach for identifying pregnancies at risk for inherited autosomal recessive conditions without the need for a sample from the reproductive partner. This study is the largest clinical validation of this approach in a general population setting. METHODS The clinical performance of carrier screening with reflex to sgNIPT for cystic fibrosis, spinal muscular atrophy, alpha thalassemias, and beta hemoglobinopathies was assessed by collecting pregnancy outcome data on patients who underwent this testing and comparing the neonatal outcome to the assay-predicted fetal risk. RESULTS Of 42,067 pregnant individuals who underwent screening, 7538 carriers (17.9%) had reflex sgNIPT, and neonatal or fetal outcomes were obtained for 528 cases, including 25 affected pregnancies. Outcomes demonstrated high concordance with sgNIPT, for example, all pregnancies with 9 in 10 personalized fetal risk results were affected (positive predictive value (PPV) of 100% for the sub-group) and the sgNIPT assay showed a sensitivity of 96.0% (95% CI: 79.65%-99.90%), specificity of 95.2% (95% CI: 92.98%-96.92%), average PPV of 50.0% (95% CI: 35.23%-64.77%), and negative predictive value (NPV) of 99.8% (95% CI: 98.84%-99.99%). The end-to-end performance of carrier screening with reflex to sgNIPT was calculated to have a sensitivity of 92.4% and specificity of 99.9%, which are unaffected by partner carrier screening or misattributed paternity unlike a traditional carrier screening workflow, which has a 35% sensitivity and a maximum of 25% PPV (1 in 4) in a real-life setting. CONCLUSION This study builds upon earlier findings to confirm that carrier testing with reflex to sgNIPT is highly accurate for general population screening. Given this high accuracy and an NPV of 99.8%, this workflow should be considered as an option for most of the general pregnant population. When the biological partner sample is unavailable, this workflow should be recommended as the first-line approach.
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Affiliation(s)
- Julia Wynn
- BillionToOne, Inc, Menlo Park, California, USA
| | | | | | | | - Sriram C Perni
- Department of Obstetrics and Gynecology, Bon Secours Mercy Health, Mercy St. Vincent Medical Center, Toledo, Ohio, USA
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42
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Larson DR, Kimber AJ, Meyer KJ, Anderson MG. Anterior chamber depth in mice is controlled by several quantitative trait loci. PLoS One 2023; 18:e0286897. [PMID: 37624784 PMCID: PMC10456175 DOI: 10.1371/journal.pone.0286897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/15/2023] [Indexed: 08/27/2023] Open
Abstract
Anterior chamber depth (ACD) is a quantitative trait associated with primary angle closure glaucoma (PACG). Although ACD is highly heritable, known genetic variations explain a small fraction of the phenotypic variability. The purpose of this study was to identify additional ACD-influencing loci using strains of mice. Cohorts of 86 N2 and 111 F2 mice were generated from crosses between recombinant inbred BXD24/TyJ and wild-derived CAST/EiJ mice. Using anterior chamber optical coherence tomography, mice were phenotyped at 10-12 weeks of age, genotyped based on 93 genome-wide SNPs, and subjected to quantitative trait locus (QTL) analysis. In an analysis of ACD among all mice, six loci passed the significance threshold of p = 0.05 and persisted after multiple regression analysis. These were on chromosomes 6, 7, 11, 12, 15 and 17 (named Acdq6, Acdq7, Acdq11, Acdq12, Acdq15, and Acdq17, respectively). Our findings demonstrate a quantitative multi-genic pattern of ACD inheritance in mice and identify six previously unrecognized ACD-influencing loci. We have taken a unique approach to studying the anterior chamber depth phenotype by using mice as genetic tool to examine this continuously distributed trait.
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Affiliation(s)
- Demelza R. Larson
- Department of Biology, College of Saint Benedict & Saint John’s University, Collegeville, Minnesota, United States of America
| | - Allysa J. Kimber
- Department of Biology, College of Saint Benedict & Saint John’s University, Collegeville, Minnesota, United States of America
| | - Kacie J. Meyer
- Department of Molecular Physiology and Biophysics, The University of Iowa, Iowa City, Iowa, United States of America
| | - Michael G. Anderson
- Department of Molecular Physiology and Biophysics, The University of Iowa, Iowa City, Iowa, United States of America
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, Iowa, United States of America
- Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, Iowa, United States of America
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43
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Strauss ED. Demographic turnover can be a leading driver of hierarchy dynamics, and social inheritance modifies its effects. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220308. [PMID: 37381857 PMCID: PMC10291429 DOI: 10.1098/rstb.2022.0308] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/10/2023] [Indexed: 06/30/2023] Open
Abstract
Individuals and societies are linked through a feedback loop of mutual influence. Demographic turnover shapes group composition and structure by adding and removing individuals, and social inheritance shapes social structure through the transmission of social traits from parents to offspring. Here I examine how these drivers of social structure feedback to influence individual outcomes. I explore these society-to-individual effects in systems with social inheritance of hierarchy position, as occur in many primates and spotted hyenas. Applying Markov chain models to empirical and simulated data reveals how demography and social inheritance interact to strongly shape individual hierarchy positions. In hyena societies, demographic processes-not status seeking-account for the majority of hierarchy dynamics and cause an on-average lifetime decline in social hierarchy position. Simulated societies clarify how social inheritance alters demographic effects-demographic processes cause hierarchy position to regress to the mean, but the addition of social inheritance modifies this pattern. Notably, the combination of social inheritance and rank-related reproductive success causes individuals to decline in rank over their lifespans, as seen in the hyena data. Further analyses explore how 'queens' escape this pattern of decline, and how variation in social inheritance generates variability in reproductive inequality. This article is part of the theme issue 'Evolutionary ecology of inequality'.
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Affiliation(s)
- Eli D. Strauss
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Baden-Württemberg, 78464, Germany
- Ecology of Animal Societies Department, Max Planck Institute of Animal Behavior, Radolfzell, Baden-Württemberg, 78315, Germany
- Collective Behavior Department, Max Planck Institute of Animal Behavior, Radolfzell, Baden-Württemberg, 78315, Germany
- Integrative Biology Department, Michigan State University, East Lansing, Michigan, 48824, USA
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Laseca N, Cánovas Á, Valera M, Id-Lahoucine S, Perdomo-González DI, Fonseca PAS, Demyda-Peyrás S, Molina A. Genomic screening of allelic and genotypic transmission ratio distortion in horse. PLoS One 2023; 18:e0289066. [PMID: 37556504 PMCID: PMC10411798 DOI: 10.1371/journal.pone.0289066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/11/2023] [Indexed: 08/11/2023] Open
Abstract
The phenomenon in which the expected Mendelian inheritance is altered is known as transmission ratio distortion (TRD). The TRD analysis relies on the study of the transmission of one of the two alleles from a heterozygous parent to the offspring. These distortions are due to biological mechanisms affecting gametogenesis, embryo development and/or postnatal viability, among others. In this study, TRD phenomenon was characterized in horses using SNP-by-SNP model by TRDscan v.2.0 software. A total of 1,041 Pura Raza Español breed horses were genotyped with 554,634 SNPs. Among them, 277 horses genotyped in trios (stallion-mare-offspring) were used to perform the TRD analysis. Our results revealed 140 and 42 SNPs with allelic and genotypic patterns, respectively. Among them, 63 displayed stallion-TRD and 41 exhibited mare-TRD, while 36 SNPs showed overall TRD. In addition, 42 SNPs exhibited heterosis pattern. Functional analyses revealed that the annotated genes located within the TRD regions identified were associated with biological processes and molecular functions related to spermatogenesis, oocyte division, embryonic development, and hormonal activity. A total of 10 functional candidate genes related to fertility were found. To our knowledge, this is the most extensive study performed to evaluate the presence of alleles and functional candidate genes with transmission ratio distortion affecting reproductive performance in the domestic horse.
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Affiliation(s)
- Nora Laseca
- Department of Genetics, University of Cordoba, Córdoba, Spain
| | - Ángela Cánovas
- Center of Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada
| | - Mercedes Valera
- Department of Agronomy, School of Agronomy Engineering, University of Seville, Seville, Spain
| | - Samir Id-Lahoucine
- Department of Animal and Veterinary Science, Scotland’s Rural College, Aberdeen, Scotland, United Kingdom
| | | | | | | | - Antonio Molina
- Department of Genetics, University of Cordoba, Córdoba, Spain
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Kalyta K, Stelmaszczyk W, Szczęśniak D, Kotuła L, Dobosz P, Mroczek M. The Spectrum of the Heterozygous Effect in Biallelic Mendelian Diseases-The Symptomatic Heterozygote Issue. Genes (Basel) 2023; 14:1562. [PMID: 37628614 PMCID: PMC10454578 DOI: 10.3390/genes14081562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023] Open
Abstract
Heterozygous carriers of pathogenic/likely pathogenic variants in autosomal recessive disorders seem to be asymptomatic. However, in recent years, an increasing number of case reports have suggested that mild and unspecific symptoms can occur in some heterozygotes, as symptomatic heterozygotes have been identified across different disease types, including neurological, neuromuscular, hematological, and pulmonary diseases. The symptoms are usually milder in heterozygotes than in biallelic variants and occur "later in life". The status of symptomatic heterozygotes as separate entities is often disputed, and alternative diagnoses are considered. Indeed, often only a thin line exists between dual, dominant, and recessive modes of inheritance and symptomatic heterozygosity. Interestingly, recent population studies have found global disease effects in heterozygous carriers of some genetic variants. What makes the few heterozygotes symptomatic, while the majority show no symptoms? The molecular basis of this phenomenon is still unknown. Possible explanations include undiscovered deep-splicing variants, genetic and environmental modifiers, digenic/oligogenic inheritance, skewed methylation patterns, and mutational burden. Symptomatic heterozygotes are rarely reported in the literature, mainly because most did not undergo the complete diagnostic procedure, so alternative diagnoses could not be conclusively excluded. However, despite the increasing accessibility to high-throughput technologies, there still seems to be a small group of patients with mild symptoms and just one variant of autosomes in biallelic diseases. Here, we present some examples, the current state of knowledge, and possible explanations for this phenomenon, and thus argue against the existing dominant/recessive classification.
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Affiliation(s)
- Kateryna Kalyta
- School of Life Sciences, FHNW—University of Applied Sciences, 4132 Muttenz, Switzerland;
| | - Weronika Stelmaszczyk
- School of Cellular and Molecular Medicine, University of Bristol, Bristol BS8 1TD, UK;
| | - Dominika Szczęśniak
- Institute of Psychiatry and Neurology in Warsaw, Genetics Department, 02-957 Warsaw, Poland;
| | - Lidia Kotuła
- Department of Genetics, Medical University, 20-080 Lublin, Poland;
| | - Paula Dobosz
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Pawinskiego 5A, 02-106 Warsaw, Poland;
| | - Magdalena Mroczek
- University Hospital Basel, University of Basel, 4031 Basel, Switzerland
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Hernández CL. Mitochondrial DNA in Human Diversity and Health: From the Golden Age to the Omics Era. Genes (Basel) 2023; 14:1534. [PMID: 37628587 PMCID: PMC10453943 DOI: 10.3390/genes14081534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 08/27/2023] Open
Abstract
Mitochondrial DNA (mtDNA) is a small fraction of our hereditary material. However, this molecule has had an overwhelming presence in scientific research for decades until the arrival of high-throughput studies. Several appealing properties justify the application of mtDNA to understand how human populations are-from a genetic perspective-and how individuals exhibit phenotypes of biomedical importance. Here, I review the basics of mitochondrial studies with a focus on the dawn of the field, analysis methods and the connection between two sides of mitochondrial genetics: anthropological and biomedical. The particularities of mtDNA, with respect to inheritance pattern, evolutionary rate and dependence on the nuclear genome, explain the challenges of associating mtDNA composition and diseases. Finally, I consider the relevance of this single locus in the context of omics research. The present work may serve as a tribute to a tool that has provided important insights into the past and present of humankind.
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Affiliation(s)
- Candela L Hernández
- Department of Biodiversity, Ecology and Evolution, Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain
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47
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Nishio H, Niba ETE, Saito T, Okamoto K, Takeshima Y, Awano H. Spinal Muscular Atrophy: The Past, Present, and Future of Diagnosis and Treatment. Int J Mol Sci 2023; 24:11939. [PMID: 37569314 PMCID: PMC10418635 DOI: 10.3390/ijms241511939] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 08/13/2023] Open
Abstract
Spinal muscular atrophy (SMA) is a lower motor neuron disease with autosomal recessive inheritance. The first cases of SMA were reported by Werdnig in 1891. Although the phenotypic variation of SMA led to controversy regarding the clinical entity of the disease, the genetic homogeneity of SMA was proved in 1990. Five years later, in 1995, the gene responsible for SMA, SMN1, was identified. Genetic testing of SMN1 has enabled precise epidemiological studies, revealing that SMA occurs in 1 of 10,000 to 20,000 live births and that more than 95% of affected patients are homozygous for SMN1 deletion. In 2016, nusinersen was the first drug approved for treatment of SMA in the United States. Two other drugs were subsequently approved: onasemnogene abeparvovec and risdiplam. Clinical trials with these drugs targeting patients with pre-symptomatic SMA (those who were diagnosed by genetic testing but showed no symptoms) revealed that such patients could achieve the milestones of independent sitting and/or walking. Following the great success of these trials, population-based newborn screening programs for SMA (more precisely, SMN1-deleted SMA) have been increasingly implemented worldwide. Early detection by newborn screening and early treatment with new drugs are expected to soon become the standards in the field of SMA.
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Affiliation(s)
- Hisahide Nishio
- Faculty of Rehabilitation, Kobe Gakuin University, 518 Arise, Ikawadani-cho, Nishi-ku, Kobe 651-2180, Japan
| | - Emma Tabe Eko Niba
- Laboratory of Molecular and Biochemical Research, Biomedical Research Core Facilities, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan;
| | - Toshio Saito
- Department of Neurology, National Hospital Organization Osaka Toneyama Medical Center, 5-1-1 Toneyama, Toyonaka 560-8552, Japan;
| | - Kentaro Okamoto
- Department of Pediatrics, Ehime Prefectural Imabari Hospital, 4-5-5 Ishi-cho, Imabari 794-0006, Japan;
| | - Yasuhiro Takeshima
- Department of Pediatrics, Hyogo Medical University, 1-1 Mukogawacho, Nishinomiya 663-8501, Japan;
| | - Hiroyuki Awano
- Organization for Research Initiative and Promotion, Research Initiative Center, Tottori University, 86 Nishi-cho, Yonago 683-8503, Japan;
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Dowty JG, Yu C, Hosseinpour M, Joo JE, Wong EM, Nguyen-Dumont T, Rosenbluh J, Giles GG, Milne RL, MacInnis RJ, Dugué PA, Southey MC. Heritable methylation marks associated with prostate cancer risk. Fam Cancer 2023; 22:313-317. [PMID: 36708485 PMCID: PMC10275808 DOI: 10.1007/s10689-022-00325-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 12/09/2022] [Indexed: 01/29/2023]
Abstract
DNA methylation marks that are inherited from parents to offspring are known to play a role in cancer risk and could explain part of the familial risk for cancer. We therefore conducted a genome-wide search for heritable methylation marks associated with prostate cancer risk. Peripheral blood DNA methylation was measured for 133 of the 469 members of 25 multiple-case prostate cancer families, using the EPIC array. We used these families to systematically search the genome for methylation marks with Mendelian patterns of inheritance, then we tested the 1,000 most heritable marks for association with prostate cancer risk. After correcting for multiple testing, 41 heritable methylation marks were associated with prostate cancer risk. Separate analyses, based on 869 incident cases and 869 controls from a prospective cohort study, showed that 9 of these marks near the metastable epiallele VTRNA2-1 were also nominally associated with aggressive prostate cancer risk in the population.
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Affiliation(s)
- James G Dowty
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 3010, Parkville, VIC, Australia
| | - Chenglong Yu
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia
| | - Mahnaz Hosseinpour
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, 3010, Parkville, VIC, Australia
- Cancer Research Program, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, 3800, Clayton, VIC, Australia
| | - Jihoon Eric Joo
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, 3010, Parkville, VIC, Australia
| | - Ee Ming Wong
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia
| | - Tu Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, 3004, Melbourne, VIC, Australia
| | - Joseph Rosenbluh
- Cancer Research Program, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, 3800, Clayton, VIC, Australia
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 3010, Parkville, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, 3004, Melbourne, VIC, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 3010, Parkville, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, 3004, Melbourne, VIC, Australia
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 3010, Parkville, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, 3004, Melbourne, VIC, Australia
| | - Pierre-Antoine Dugué
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 3010, Parkville, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, 3004, Melbourne, VIC, Australia
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 3168, Clayton, VIC, Australia.
- Cancer Epidemiology Division, Cancer Council Victoria, 3004, Melbourne, VIC, Australia.
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, 3010, Parkville, VIC, Australia.
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Liu C, Han C, Liang J, Yang C, Wang Y, Chen P, Chen H, Lu H, Cai Y, Wang Q, Zhang X, Zeng K, Li C. Variants in the Gene Encoding Filaggrin Cause Autosomal-Dominant Symmetrical Acral Keratoderma. J Invest Dermatol 2023; 143:1313-1317.e8. [PMID: 36716921 DOI: 10.1016/j.jid.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 01/03/2023] [Accepted: 01/10/2023] [Indexed: 01/29/2023]
Affiliation(s)
- Chenmei Liu
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chunlei Han
- Department of Dermatology, the Sixth People's Hospital of Dongguan, Dongguan, China
| | - Jingyao Liang
- Department of Dermatology, Guangzhou Institute of Dermatology, Guangzhou, China
| | - Chao Yang
- Department of Dermatology, Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Youyi Wang
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Pingjiao Chen
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hongyu Chen
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hongyan Lu
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Cai
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qi Wang
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xibao Zhang
- Department of Dermatology, Guangzhou Institute of Dermatology, Guangzhou, China
| | - Kang Zeng
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Changxing Li
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
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50
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Tinano FR, Canton APM, Montenegro LR, de Castro Leal A, Faria AG, Seraphim CE, Brauner R, Jorge AA, Mendonca BB, Argente J, Brito VN, Latronico AC. Clinical and Genetic Characterization of Familial Central Precocious Puberty. J Clin Endocrinol Metab 2023; 108:1758-1767. [PMID: 36611250 DOI: 10.1210/clinem/dgac763] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 01/09/2023]
Abstract
CONTEXT Central precocious puberty (CPP) can have a familial form in approximately one-quarter of the children. The recognition of this inherited condition increased after the identification of autosomal dominant CPP with paternal transmission caused by mutations in the MKRN3 and DLK1 genes. OBJECTIVE We aimed to characterize the inheritance and estimate the prevalence of familial CPP in a large multiethnic cohort; to compare clinical and hormonal features, as well as treatment response to GnRH analogs (GnRHa), in children with distinct modes of transmission; and to investigate the genetic basis of familial CPP. METHODS We retrospectively studied 586 children with a diagnosis of CPP. Patients with familial CPP (n = 276) were selected for clinical and genetic analysis. Data from previous studies were grouped, encompassing sequencing of MKRN3 and DLK1 genes in 204 patients. Large-scale parallel sequencing was performed in 48 individuals from 34 families. RESULTS The prevalence of familial CPP was estimated at 22%, with a similar frequency of maternal and paternal transmission. Pedigree analyses of families with maternal transmission suggested an autosomal dominant inheritance. Clinical and hormonal features, as well as treatment response to GnRHa, were similar among patients with different forms of transmission of familial CPP. MKRN3 loss-of-function mutations were the most prevalent cause of familial CPP, followed by DLK1 loss-of-function mutations, affecting, respectively, 22% and 4% of the studied families; both affected exclusively families with paternal transmission. Rare variants of uncertain significance were identified in CPP families with maternal transmission. CONCLUSION We demonstrated a similar prevalence of familial CPP with maternal and paternal transmission. MKRN3 and DLK1 loss-of-function mutations were the major causes of familial CPP with paternal transmission.
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Affiliation(s)
- Flávia Rezende Tinano
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Ana Pinheiro Machado Canton
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Luciana R Montenegro
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Andrea de Castro Leal
- Departamento de Saúde Integrada, Universidade do Estado do Pará (UEPA), Santarém, 68040-090 Pará, Brasil
| | - Aline G Faria
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Carlos E Seraphim
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Raja Brauner
- Pediatric Endocrinology Unit, Fondation Ophtalmologique Adolphe de Rothschild and Université Paris Descartes, 75019 Paris, France
| | - Alexander A Jorge
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
- Unidade de Endocrinologia Genética, Laboratório de Endocrinologia Celular e Molecular LIM/25, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Berenice B Mendonca
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Jesús Argente
- Department of Pediatrics, Universidad Autónoma de Madrid, 28049 Madrid, Spain
- Departments of Paediatrics and Paediatric Endocrinology, Hospital Infantil Universitario Niño Jesús, 28009 Madrid, Spain
- Instituto de Investigación La Princesa, 28009 Madrid, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
- IMDEA Food Institute, CEIUAM+CSIC, 28049 Madrid, Spain
| | - Vinicius N Brito
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
| | - Ana Claudia Latronico
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM/42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, 05403-900 São Paulo, Brasil
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