Human Genome Research Research Articles

A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets

In the age of Big Genomics Data, institutions such as the National Human Genome Research Institute (NHGRI) are challenged in their efforts to share volumes of data between researchers, a process that has been plagued by unreliable transfers and slow speeds. These occur due to throughput bottlenecks of traditional transfer technologies. Two factors that affect the efficiency of data transmission are the channel bandwidth and the amount of data. Increasing the bandwidth is one way to transmit data efficiently, but might not always be possible due to resource limitations. Another way to maximize channel utilization is by decreasing the bits needed for transmission of a dataset. Traditionally, transmission of big genomic data between two geographical locations is done using general-purpose protocols, such as hypertext transfer protocol (HTTP) and file transfer protocol (FTP) secure. In this paper, we present a novel deep learning-based data minimization algorithm that 1) minimizes the datasets during transfer over the carrier channels; 2) protects the data from the man-in-the-middle (MITM) and other attacks by changing the binary representation (content-encoding) several times for the same dataset: we assign different codewords to the same character in different parts of the dataset. Our data minimization strategy exploits the alphabet limitation of DNA sequences and modifies the binary representation (codeword) of dataset characters using deep learning-based convolutional neural network (CNN) to ensure a minimum of code word uses to the high frequency characters at different time slots during the transfer time. This algorithm ensures transmission of big genomic DNA datasets with minimal bits and latency and yields an efficient and expedient process. Our tested heuristic model, simulation, and real implementation results indicate that the proposed data minimization algorithm is up to 99 times faster and more secure than the currently used content-encoding scheme used in HTTP of the HTTP content-encoding scheme and 96 times faster than FTP on tested datasets. The developed protocol in C# will be available to the wider genomics community and domain scientists.

Lecture No. 5Impact of Human Genome Research: 'Policy and Ethics'-its meaning in data sharing.

Lecture No. 5Impact of Human Genome Research: 'Policy and Ethics'-its meaning in data sharing.

Advances in Genomics Research of Blood Pressure Responses to Dietary Sodium and Potassium Intakes.

More than half of US adults have hypertension by 40 years of age and a subsequent increase in atherosclerotic cardiovascular disease risk. Dietary sodium and potassium are intricately linked to the pathophysiology of hypertension. However, blood pressure responses to dietary sodium and potassium, phenomena known as salt and potassium sensitivity of blood pressure, respectively, are heterogenous and normally distributed in the general population. Like blood pressure, salt and potassium sensitivity are complex phenotypes, and previous research has shown that up to 75% of individuals experience a blood pressure change in response to such dietary minerals. Previous research has also implicated both high salt sensitivity and low salt sensitivity (or salt resistance) of blood pressure to an increased risk of hypertension and potentially atherosclerotic cardiovascular disease risk. Given the clinical challenges required to accurately measure the sodium and potassium response phenotypes, genomic characterization of these traits has become of interest for hypertension prevention initiatives on both the individual and population levels. Here, we review advances in human genomics research of blood pressure responses to dietary sodium and potassium by focusing on 3 main areas, including the phenotypic characterization of salt sensitivity and resistance, clinical challenges in diagnosing such phenotypes, and the genomic mechanisms that may help to explain salt and potassium sensitivity and resistance. Through this process, we hope to further underline the value of leveraging genomics and broader multiomics for characterizing the blood pressure response to sodium and potassium to improve precision in lifestyle approaches for primordial and primary atherosclerotic cardiovascular disease prevention.

First person profile: Matthew L. Meyerson, MD, PhD: Pioneering scientist leads key discoveries in cancer genomics.

First person profile: Matthew L. Meyerson, MD, PhD: Pioneering scientist leads key discoveries in cancer genomics.

The PhenX Toolkit: Establishing Standard Measures for COVID-19 Research.

The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (https://www.phenxtoolkit.org/) is a publicly available, web‐based catalog of recommended, well‐established measurement protocols of phenotypes and exposures. The goal of PhenX is to facilitate the use of standard measures, enhance data interoperability, and promote collaborative and translational research. PhenX is driven by the scientific community and historically has depended on working groups of experts to recommend measures for release in the PhenX Toolkit. The urgent need for recommended, standard measures for COVID‐19 research triggered the development of a “rapid release” process for releasing new content in the PhenX Toolkit. Initially, PhenX collaborated with the National Institutes of Health (NIH) Office of Behavioral and Social Sciences Research, the National Human Genome Research Institute, and the NIH Disaster Research Response (DR2) program to create a library of COVID‐19 measurement protocols. With additional support from NIH, PhenX adapted crowdsourcing techniques to accelerate prioritization and recommendation of protocols for release in the PhenX Toolkit. Prioritized COVID‐19‐specific protocols were used to anchor and define specialty collections of protocols that were subject to review and approval by the PhenX Steering Committee. In addition to the COVID‐19‐specific protocols, the specialty collections include existing, well‐established PhenX protocols, use of which will further enhance data interoperability and cross‐study analysis. The COVID‐19 specialty collections are Behaviors and Risks; Ethnicity, Race and Demographics; History, Treatment and Outcomes; Information Resources; Psychosocial and Mental Health; and Socioeconomic. The development and usage of PhenX COVID‐19 specialty collections are described in this article. © 2021 The Authors. Basic Protocol: Selecting COVID‐19 protocols

Identification of Core Genes and Screening of Potential Targets in Glioblastoma Multiforme by Integrated Bioinformatic Analysis.

Glioblastoma multiforme is the most common primary intracranial malignancy, but its etiology and pathogenesis are still unclear. With the deepening of human genome research, the research of glioma subtype screening based on core molecules has become more in-depth. In the present study, we screened out differentially expressed genes (DEGs) through reanalyzing the glioblastoma multiforme (GBM) datasets GSE90598 from the Gene Expression Omnibus (GEO), the GBM dataset TCGA-GBM and the low-grade glioma (LGG) dataset TCGA-LGG from the Cancer Genome Atlas (TCGA). A total of 150 intersecting DEGs were found, of which 48 were upregulated and 102 were downregulated. These DEGs from GSE90598 dataset were enriched using the overrepresentation method, and multiple enriched gene ontology (GO) function terms were significantly correlated with neural cell signal transduction. DEGs between GBM and LGG were analyzed by gene set enrichment analysis (GSEA), and the significantly enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways involved in synapse signaling and oxytocin signaling pathways. Then, a protein-protein interaction (PPI) network was constructed to assess the interaction of proteins encoded by the DEGs. MCODE identified 2 modules from the PPI network. The 11 genes with the highest degrees in module 1 were designated as core molecules, namely, GABRD, KCNC1, KCNA1, SYT1, CACNG3, OPALIN, CD163, HPCAL4, ANK3, KIF5A, and MS4A6A, which were mainly enriched in ionic signaling-related pathways. Survival analysis of the GSE83300 dataset verified the significant relationship between expression levels of the 11 core genes and survival. Finally, the core molecules of GBM and the DrugBank database were assessed by a hypergeometric test to identify 10 drugs included tetrachlorodecaoxide related to cancer and neuropsychiatric diseases. Further studies are required to explore these core genes for their potentiality in diagnosis, prognosis, and targeted therapy and explain the relationship among ionic signaling-related pathways, neuropsychiatric diseases and neurological tumors.

Conditions of Legality of Medical Human Subject Research

The article examines international acts and national legislation and highlights the conditions for the legality of medical research with human participation.
 The provisions of the Nuremberg Code (1947), the Helsinki Declaration of the World Medical Association «Ethical principles for medical research involv- ing human subjects» (1964), the Universal Declaration on the Human Genome and Human Rights (1997), the Convention for the Protection of Human Rights and Dignity of the Human Being with regard to the Application of Biology and Medicine: Convention on Human Rights and Biomedicine (1997) and the Addi- tional Protocols to the Convention, Regulation of the European Parliament and of the Council (EU) No 536/2014. The support of the recommendation to ratify the Convention on Human Rights and Biomedicine and its additional protocols in Ukraine has been expressed.
 It has been established that international acts stipulate that the design and implementation of each human subject research must be clearly described in the research protocol. In addition, research protocols must be subject to prior review by the Ethics Committees.
 It has been substantiated that international acts set for medical research standards, which are based on the principles of respect for dignity and human rights, the priority of interests of the person over the interests of society or sci- ence, compliance with safety requirements and prevention of harm to humans, mandatory permission to conduct medical examination, research and control- lability of the research process and its results, compensation for any damage caused by medical research.
 Conditions of legality of medical research can be divided into general (obser- vance of which is always necessary if a person participates in experiments) and special (additional conditions of legality, which are put forward depend- ing on the field or object of research, namely in the field of experiments com- bined with medical care , human genome research, in vitro embryo research, in the field of clinical trials of drugs).

Evaluation of literature searching tools for curation of mismatch repair gene variants in hereditary colon cancer.

Pathogenic constitutional genomic variants in the mismatch repair (MMR) genes are the drivers of Lynch syndrome; optimal variant interpretation is required for the management of suspected and confirmed cases. The International Society for Hereditary Gastrointestinal Tumours (InSiGHT) provides expert classifications for MMR variants for the US National Human Genome Research Institute's (NHGRI) ClinGen initiative and interprets variants with discordant classifications and those of uncertain significance (VUSs). Given the onerous nature of extracting information related to variants, literature searching tools which harness artificial intelligence may aid in retrieving information to allow optimum variant classification. In this study, we described the nature of discordance in a sample of 80 variants from a list of variants requiring updating by InSiGHT for ClinGen by comparing their existing InSiGHT classifications with the various submissions for each variant on the US National Centre for Biotechnology Information's (NCBI) ClinVar database. To identify the potential value of a literature searching tool in extracting information related to classification, all variants were searched for using a traditional method (Google Scholar) and literature searching tool (Mastermind) independently. Descriptive statistics were used to compare: the number of articles before and after screening for relevance and the number of relevant articles unique to either method. Relevance was defined as containing the variant in question as well as data informing variant interpretation. A total of 916 articles were returned by both methods and Mastermind averaged four relevant articles per search compared to Google Scholar's three. Of relevant Mastermind articles, 193/308 (62.7%) were unique to it, compared to 87/202, (43.0%) for Google Scholar. For 24 variants, either or both methods found no information. All 6/80 (20%) variants with pathogenic or likely pathogenic InSiGHT classifications have newer VUS assertions on ClinVar. Our study demonstrated that for a sample of variants with varying discordant interpretations, Mastermind was able to return on average, a more relevant and unique literature search. Google Scholar was able to retrieve information that Mastermind did not, which supports a conclusion that Mastermind could play a complementary role in literature searching for classification. This work will aid InSiGHT in its role of classifying MMR variants.

The broken promise that undermines human genome research.

Data sharing was a core principle that led to the success of the Human Genome Project 20 years ago. Now scientists are struggling to keep information free. Data sharing was a core principle that led to the success of the Human Genome Project 20 years ago. Now scientists are struggling to keep information free.

Геном человека раскрывает эволюцию Homo sapiens

The evolution of modern humans began two and a half million years ago as Homo erectus. Several hundred thousand years ago, Neanderthals, Denisovans, and modern men Homo sapiens have been separated from the Homo erectus branch. Nevertheless, Homo sapiens is the only one that has survived to our days. The complex history of Homo is revealed by genetic research and comparison of the modern human genome with genes of Neanderthals and Denisovans. Svante Pääbo, a professor at the Max Planck Institute for Evolutionary Anthropology, made a significant contribution to these studies and decoded the genome of Neanderthals and Denisovans. Comparison of the genome of modern humans with the genes of Neanderthals and Denisovans made it possible to reveal the size of the population, the paths and times of migrations, interactions of various groups of ancient humans and their biological crossing. It was found that in Eurasia, modern man carries traces of Neanderthal genes, whereas in Asia and Oceania – Denisovan genes. According to anthropological research, the survival of Homo sapiens was driven by the cognitive revolution, which took place about seventy thousand years ago and included the development of language, communication and association in large groups.

The genomics workforce must become more diverse: a strategic imperative

The National Human Genome Research Institute (NHGRI) recently published a new strategic vision for the future of human genomics, the product of an extensive, multi-year engagement with numerous research, medical, educational, and public communities. The theme of this 2020 vision-The Forefront of Genomics-reflects NHGRI's critical role in providing responsible stewardship of the field of human genomics, especially as genomic methods and approaches become increasingly disseminated throughout biomedicine. Embracing that role, the new NHGRI strategic vision features a set of guiding principles and values that provide an ethical and moral framework for the field. One principle emphasizes the need to champion a diverse genomics workforce because "the promise of genomics cannot be fully achieved without attracting, developing, and retaining a diverse workforce, which includes individuals from groups that are currently underrepresented in the genomics enterprise." To build on the remarkable metamorphosis of the field over the last three decades, enhancing the diversity of the genomics workforce must be embraced as an urgent priority. Toward that end, NHGRI recently developed an "action agenda" for training, employing, and retaining a genomics workforce that reflects the diversity of the US population.

Study of the functional significance of polymorphic loci of the LOXL1 gene associated with glaucoma according to genome-wide studies (in silico analysis)

Using the catalog of genome-wide studies (GWAS) of the National Human Genome Research Institute (https://www.genome.gov/gwastudies/), three polymorphic loci of the LOXL1 gene (rs2165241, rs4886776, rs893818) associated with glaucoma (pseudoexfoliation glaucoma/syndrome) were chosen for the study. Using modern databases on functional genomics (SIFT, PolyPhen-2, HaploReg, GTExportal), the functional significance of these polymorphic loci was assessed (nonsynonymous substitutions, epigenetic effects, association with gene expression, associations with alternative splicing of gene transcripts). The work establishes the important functional significance of the rs2165241, rs4886776 and rs893818 polymorphic loci of the LOXL1 gene. They demonstrate significant epigenetic effects (affect the affinity to five transcription factors, are located in the region of promoters and enhancers, in the region of hypersensitivity to DNase-1), are associated with the expression and alternative splicing of three genes (LOXL1, LOXL1-AS1, RP11-24D15.1) in cell cultures, organs and tissues pathogenetically significant for development of glaucoma, are strongly linked to the rs1048661 polymorphism, which causes the replacement of the Arg141Leu amino acid in the LOXL1 polypeptide. Polymorphic loci of the LOXL1 gene (rs2165241, rs4886776, and rs893818) are of great functional importance (epigenetic, eQTL, and sQTL), which may be the biomedical basis of their associations with glaucoma.

Serum Fructosamine is a Valid Measure of Glycemic Status in the Presence of the Sickle Cell Mutation

Background: The glycosylated hemoglobin (HbA1c) test can be unreliable in the presence of hemoglobinopathies and remains cost-prohibited and impractical in many developing countries. The increasing burden of type 2 diabetes (T2D) in sub-Saharan Africa (SSA) where sickle cell anemia, the most common inherited hemoglobinopathy, is prevalent calls for alternative tests for the management of T2D. In the present study, we evaluated the utility of serum fructosamine (FRA) as a biomarker of glycemic control that is not affected by abnormal hemoglobin or red blood cell (RBC) turnover. Methods: The accuracy of FRA in monitoring and diagnosing T2D was evaluated using the Area under the Receiver Operating Characteristics (AUROC) and other measures in a training dataset of 618 Nigerians [155 (25·1%) carrying sickle cell trait (HbAS) and 463 (74·9%) without sickle cell trait (HbAA)]. The FRA’s diagnostic cut-off was validated in an independent cohort of 634 West Africans. Findings: FRA was similar between HbAS and HbAA participants (Median = 287 vs 275 umol/L, p=0·11) despite statistically different HbA1c median among the two groups. FRA was highly correlated with both HbA1c (r HbAA = 0·80, r HbAS =0·82, p<0·001) and fasting glucose (FG) (r HbAA =0·72, r HbAS = 0·83, p<0·001) independent of sickle cell trait (SCT). With optimal thresholds of 352·5 umol/L and 309·5 umol/L, FRA had 81·5% [CI 95%:0·76-0·87] and 82·4%, [CI 95% 0·77-0·88] sensitivities and 97·4% [CI 95%:0·95-1·00] and 92·4% [95% CI 0·90-0·95] specificities for identifying individuals with controlled glycemic index and individuals with T2D respectively and independently of SCT. The diagnosis cut-off was validated in a multi-ethnic population with a good positive predictive value (94·6%). Interpretation: We showed that FRA is an effective alternative to HbA1c for monitoring and diagnosing T2D in populations where SCT is prevalent. Funding: National Institutes of Health. Conflict of Interest: The authors have no conflict of interest to disclose. Ethical Approval: The study protocol was approved by the institutional ethicsreview board (IRB) of the National Institutes of Health/National Human Genome Research Institute (protocol HG-09-N070) and the IRBs of each participating institution, including University of Lagos, Lagos, Nigeria; College of Medicine, University of Ibadan, Ibadan, Nigeria; University of Nigeria Teaching Hospital, Enugu, Nigeria; University of Science and Technology, Kumasi, Ghana; University of Ghana Medical School, Accra, Ghana. Written informed consent was obtained from each participant prior to enrollment.

Evaluation of Single-Molecule Sequencing Technologies for Structural Variant Detection in Two Swedish Human Genomes.

Long-read single molecule sequencing is increasingly used in human genomics research, as it allows to accurately detect large-scale DNA rearrangements such as structural variations (SVs) at high resolution. However, few studies have evaluated the performance of different single molecule sequencing platforms for SV detection in human samples. Here we performed Oxford Nanopore Technologies (ONT) whole-genome sequencing of two Swedish human samples (average 32× coverage) and compared the results to previously generated Pacific Biosciences (PacBio) data for the same individuals (average 66× coverage). Our analysis inferred an average of 17k and 23k SVs from the ONT and PacBio data, respectively, with a majority of them overlapping with an available multi-platform SV dataset. When comparing the SV calls in the two Swedish individuals, we find a higher concordance between ONT and PacBio SVs detected in the same individual as compared to SVs detected by the same technology in different individuals. Downsampling of PacBio reads, performed to obtain similar coverage levels for all datasets, resulted in 17k SVs per individual and improved overlap with the ONT SVs. Our results suggest that ONT and PacBio have a similar performance for SV detection in human whole genome sequencing data, and that both technologies are feasible for population-scale studies.

Cutaneous T-Cell Lymphoma Skin Microbiome Is Characterized by Shifts in Certain Commensal Bacteria but not Viruses when Compared with Healthy Controls

Cutaneous T-Cell Lymphoma Skin Microbiome Is Characterized by Shifts in Certain Commensal Bacteria but not Viruses when Compared with Healthy Controls

Benefit Sharing for Human Genomics Research: Awareness and Expectations of Genomics Researchers in Sub-Saharan Africa.

Benefit sharing is an ethical issue that underscores the need to find a balance between access to genetic resources and the provision of fair benefits in exchange for access. The Human Genome Organisation (HUGO) is one of the few initiatives to have engaged with the topic of benefit sharing in human genomics. However, there is a lack of clarity on what benefit sharing entails in human genomics research and how it could be implemented in practice. This paper reports on a qualitative study that explored the views and expectations of benefit sharing by a group of genomics researchers in sub-Saharan Africa. Overall, while there was little awareness of benefit sharing among the researchers, there was support for benefit sharing in human genetics, and this was based on principles of fairness, solidarity, and reciprocity. This in-depth explorative study demonstrates the need for genomics research consortia in Africa to have open discussions on benefit sharing and to develop ethics frameworks for benefit sharing in population genomics studies in Africa. HUGO's statement on benefit sharing and the Nagoya Protocol could provide guidance.

A Reference Genome from the Symbiotic Hydrozoan, Hydra viridissima.

Various Hydra species have been employed as model organisms since the 18th century. Introduction of transgenic and knock-down technologies made them ideal experimental systems for studying cellular and molecular mechanisms involved in regeneration, body-axis formation, senescence, symbiosis, and holobiosis. In order to provide an important reference for genetic studies, the Hydra magnipapillata genome (species name has been changed to H. vulgaris) was sequenced a decade ago (Chapman et al., 2010) and the updated genome assembly, Hydra 2.0, was made available by the National Human Genome Research Institute in 2017. While H. vulgaris belongs to the non-symbiotic brown hydra lineage, the green hydra, Hydra viridissima, harbors algal symbionts and belongs to an early diverging clade that separated from the common ancestor of brown and green hydra lineages at least 100 million years ago (Schwentner and Bosch 2015; Khalturin et al., 2019). While interspecific interactions between H. viridissima and endosymbiotic unicellular green algae of the genus Chlorella have been a subject of interest for decades, genomic information about green hydras was nonexistent. Here we report a draft 280-Mbp genome assembly for Hydra viridissima strain A99, with a scaffold N50 of 1.1 Mbp. The H. viridissima genome contains an estimated 21,476 protein-coding genes. Comparative analysis of Pfam domains and orthologous proteins highlights characteristic features of H. viridissima, such as diversification of innate immunity genes that are important for host-symbiont interactions. Thus, the H. viridissima assembly provides an important hydrozoan genome reference that will facilitate symbiosis research and better comparisons of metazoan genome architectures.

Strategic vision for improving human health at The Forefront of Genomics.

Starting with the launch of the Human Genome Project three decades ago, and continuing after its completion in 2003, genomics has progressively come to have a central and catalytic role in basic and translational research. In addition, studies increasingly demonstrate how genomic information can be effectively used in clinical care. In the future, the anticipated advances in technology development, biological insights, and clinical applications (among others) will lead to more widespread integration of genomics into almost all areas of biomedical research, the adoption of genomics into mainstream medical and public-health practices, and an increasing relevance of genomics for everyday life. On behalf of the research community, the National Human Genome Research Institute recently completed a multi-year process of strategic engagement to identify future research priorities and opportunities in human genomics, with an emphasis on health applications. Here we describe the highest-priority elements envisioned for the cutting-edge of human genomics going forward-that is, at 'The Forefront of Genomics'.

Genetic Variant Reinterpretation: Economic and Population Health Management Challenges.

Genetic Variant Reinterpretation: Economic and Population Health Management Challenges.

Index to Titles and Authors/Editors of Books Reviewed

Index to Titles and Authors/Editors of Books Reviewed