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  • 1
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 108, No. 29 ( 2011-07-19), p. 11983-11988
    Abstract: High-throughput sequencing technology enables population-level surveys of human genomic variation. Here, we examine the joint allele frequency distributions across continental human populations and present an approach for combining complementary aspects of whole-genome, low-coverage data and targeted high-coverage data. We apply this approach to data generated by the pilot phase of the Thousand Genomes Project, including whole-genome 2–4× coverage data for 179 samples from HapMap European, Asian, and African panels as well as high-coverage target sequencing of the exons of 800 genes from 697 individuals in seven populations. We use the site frequency spectra obtained from these data to infer demographic parameters for an Out-of-Africa model for populations of African, European, and Asian descent and to predict, by a jackknife-based approach, the amount of genetic diversity that will be discovered as sample sizes are increased. We predict that the number of discovered nonsynonymous coding variants will reach 100,000 in each population after ∼1,000 sequenced chromosomes per population, whereas ∼2,500 chromosomes will be needed for the same number of synonymous variants. Beyond this point, the number of segregating sites in the European and Asian panel populations is expected to overcome that of the African panel because of faster recent population growth. Overall, we find that the majority of human genomic variable sites are rare and exhibit little sharing among diverged populations. Our results emphasize that replication of disease association for specific rare genetic variants across diverged populations must overcome both reduced statistical power because of rarity and higher population divergence.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2011
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  • 2
    In: Ophthalmology, Elsevier BV, Vol. 125, No. 7 ( 2018-07), p. 1054-1063
    Type of Medium: Online Resource
    ISSN: 0161-6420
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 3
    In: Human Genetics, Springer Science and Business Media LLC, Vol. 140, No. 8 ( 2021-08), p. 1169-1182
    Type of Medium: Online Resource
    ISSN: 0340-6717 , 1432-1203
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 4
    In: Human Reproduction, Oxford University Press (OUP), Vol. 37, No. 7 ( 2022-06-30), p. 1652-1663
    Abstract: What is the load, distribution and added clinical value of secondary findings (SFs) identified in exome sequencing (ES) of patients with non-obstructive azoospermia (NOA)? SUMMARY ANSWER One in 28 NOA cases carried an identifiable, medically actionable SF. WHAT IS KNOWN ALREADY In addition to molecular diagnostics, ES allows assessment of clinically actionable disease-related gene variants that are not connected to the patient’s primary diagnosis, but the knowledge of which may allow the prevention, delay or amelioration of late-onset monogenic conditions. Data on SFs in specific clinical patient groups, including reproductive failure, are currently limited. STUDY DESIGN, SIZE, DURATION The study group was a retrospective cohort of patients with NOA recruited in 10 clinics across six countries and formed in the framework of the international GEMINI (The GEnetics of Male INfertility Initiative) study. PARTICIPANTS/MATERIALS, SETTING, METHODS ES data of 836 patients with NOA were exploited to analyze SFs in 85 genes recommended by the American College of Medical Genetics and Genomics (ACMG), Geisinger’s MyCode, and Clinical Genome Resource. The identified 6374 exonic variants were annotated with ANNOVAR and filtered for allele frequency, retaining 1381 rare or novel missense and loss-of-function variants. After automatic assessment of pathogenicity with ClinVar and InterVar, 87 variants were manually curated. The final list of confident disease-causing SFs was communicated to the corresponding GEMINI centers. When patient consent had been given, available family health history and non-andrological medical data were retrospectively assessed. MAIN RESULTS AND THE ROLE OF CHANCE We found a 3.6% total frequency of SFs, 3.3% from the 59 ACMG SF v2.0 genes. One in 70 patients carried SFs in genes linked to familial cancer syndromes, whereas 1 in 60 cases was predisposed to congenital heart disease or other cardiovascular conditions. Retrospective assessment confirmed clinico-molecular diagnoses in several cases. Notably, 37% (11/30) of patients with SFs carried variants in genes linked to male infertility in mice, suggesting that some SFs may have a co-contributing role in spermatogenic impairment. Further studies are needed to determine whether these observations represent chance findings or the profile of SFs in NOA patients is indeed different from the general population. LIMITATIONS, REASONS FOR CAUTION One limitation of our cohort was the low proportion of non-Caucasian ethnicities (9%). Additionally, as comprehensive clinical data were not available retrospectively for all men with SFs, we were not able to confirm a clinico-molecular diagnosis and assess the penetrance of the specific variants. WIDER IMPLICATIONS OF THE FINDINGS For the first time, this study analyzed medically actionable SFs in men with spermatogenic failure. With the evolving process to incorporate ES into routine andrology practice for molecular diagnostic purposes, additional assessment of SFs can inform about future significant health concerns for infertility patients. Timely detection of SFs and respective genetic counseling will broaden options for disease prevention and early treatment, as well as inform choices and opportunities regarding family planning. A notable fraction of SFs was detected in genes implicated in maintaining genome integrity, essential in both mitosis and meiosis. Thus, potential genetic pleiotropy may exist between certain adult-onset monogenic diseases and NOA. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the Estonian Research Council grants IUT34-12 and PRG1021 (M.L. and M.P.); National Institutes of Health of the United States of America grant R01HD078641 (D.F.C., K.I.A. and P.N.S.); National Institutes of Health of the United States of America grant P50HD096723 (D.F.C. and P.N.S.); National Health and Medical Research Council of Australia grant APP1120356 (M.K.O’B., D.F.C. and K.I.A.); Fundação para a Ciência e a Tecnologia (FCT)/Ministério da Ciência, Tecnologia e Inovação grant POCI-01-0145-FEDER-007274 (A.M.L., F.C. and J.G.) and FCT: IF/01262/2014 (A.M.L.). J.G. was partially funded by FCT/Ministério da Ciência, Tecnologia e Ensino Superior (MCTES), through the Centre for Toxicogenomics and Human Health—ToxOmics (grants UID/BIM/00009/2016 and UIDB/00009/2020). M.L.E. is a consultant for, and holds stock in, Roman, Sandstone, Dadi, Hannah, Underdog and has received funding from NIH/NICHD. Co-authors L.K., K.L., L.N., K.I.A., P.N.S., J.G., F.C., D.M.-M., K.A., K.A.J., M.K.O’B., A.M.L., D.F.C., M.P. and M.L. declare no conflict of interest. TRIAL REGISTRATION NUMBER N/A.
    Type of Medium: Online Resource
    ISSN: 0268-1161 , 1460-2350
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
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  • 5
    In: The Lancet, Elsevier BV, Vol. 395, No. 10227 ( 2020-03), p. 878-887
    Type of Medium: Online Resource
    ISSN: 0140-6736
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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  • 6
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2022-01-10)
    Abstract: De novo mutations are known to play a prominent role in sporadic disorders with reduced fitness. We hypothesize that de novo mutations play an important role in severe male infertility and explain a portion of the genetic causes of this understudied disorder. To test this hypothesis, we utilize trio-based exome sequencing in a cohort of 185 infertile males and their unaffected parents. Following a systematic analysis, 29 of 145 rare (MAF  〈  0.1%) protein-altering de novo mutations are classified as possibly causative of the male infertility phenotype. We observed a significant enrichment of loss-of-function de novo mutations in loss-of-function-intolerant genes ( p -value = 1.00 × 10 −5 ) in infertile men compared to controls. Additionally, we detected a significant increase in predicted pathogenic de novo missense mutations affecting missense-intolerant genes ( p -value = 5.01 × 10 −4 ) in contrast to predicted benign de novo mutations. One gene we identify, RBM5 , is an essential regulator of male germ cell pre-mRNA splicing and has been previously implicated in male infertility in mice. In a follow-up study, 6 rare pathogenic missense mutations affecting this gene are observed in a cohort of 2,506 infertile patients, whilst we find no such mutations in a cohort of 5,784 fertile men ( p -value = 0.03). Our results provide evidence for the role of de novo mutations in severe male infertility and point to new candidate genes affecting fertility.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 7
    In: JAMA Network Open, American Medical Association (AMA), Vol. 4, No. 11 ( 2021-11-05), p. e2132376-
    Type of Medium: Online Resource
    ISSN: 2574-3805
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2021
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  • 8
    In: Bioinformatics, Oxford University Press (OUP), Vol. 39, No. 6 ( 2023-06-01)
    Abstract: Single-cell RNA sequencing (scRNA-seq) data, annotated by cell type, is useful in a variety of downstream biological applications, such as profiling gene expression at the single-cell level. However, manually assigning these annotations with known marker genes is both time-consuming and subjective. Results We present a Graph Convolutional Network (GCN)-based approach to automate the annotation process. Our process builds upon existing labeling approaches, using state-of-the-art tools to find cells with highly confident label assignments through consensus and spreading these confident labels with a semi-supervised GCN. Using simulated data and two scRNA-seq datasets from different tissues, we show that our method improves accuracy over a simple consensus algorithm and the average of the underlying tools. We also compare our method to a nonparametric neighbor majority approach, showing comparable results. We then demonstrate that our GCN method allows for feature interpretation, identifying important genes for cell type classification. We present our completed pipeline, written in PyTorch, as an end-to-end tool for automating and interpreting the classification of scRNA-seq data. Availability and implementation Our code for conducting the experiments in this paper and using our model is available at https://github.com/lewinsohndp/scSHARP.
    Type of Medium: Online Resource
    ISSN: 1367-4811
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
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  • 9
    In: Bioinformatics, Oxford University Press (OUP), Vol. 38, No. 23 ( 2022-11-30), p. 5288-5298
    Abstract: The mammalian testis is a complex organ with a cellular composition that changes smoothly and cyclically in normal adults. While testis histology is already an invaluable tool for identifying and describing developmental differences in evolution and disease, methods for standardized, digital image analysis of testis are needed to expand the utility of this approach. Results We developed SATINN (Software for Analysis of Testis Images with Neural Networks), a multi-level framework for automated analysis of multiplexed immunofluorescence images from mouse testis. This approach uses residual learning to train convolutional neural networks (CNNs) to classify nuclei from seminiferous tubules into seven distinct cell types with an accuracy of 81.7%. These cell classifications are then used in a second-level tubule CNN, which places seminiferous tubules into one of 12 distinct tubule stages with 57.3% direct accuracy and 94.9% within ±1 stage. We further describe numerous cell- and tubule-level statistics that can be derived from wild-type testis. Finally, we demonstrate how the classifiers and derived statistics can be used to rapidly and precisely describe pathology by applying our methods to image data from two mutant mouse lines. Our results demonstrate the feasibility and potential of using computer-assisted analysis for testis histology, an area poised to evolve rapidly on the back of emerging, spatially resolved genomic and proteomic technologies. Availability and implementation The source code to reproduce the results described here and a SATINN standalone application with graphic-user interface are available from http://github.com/conradlab/SATINN. Supplementary information Supplementary data are available at Bioinformatics online.
    Type of Medium: Online Resource
    ISSN: 1367-4803 , 1367-4811
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
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  • 10
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 380, No. 6641 ( 2023-04-14)
    Abstract: Mutation lays the foundation for genetics, evolution, and our very existence and demise. Historically, genetics has focused on inherited variants and has only recently begun to examine the genetic changes that occur after fertilization, known as postzygotic mutations (PZMs). This bias is partially because of technological limitations and the simplifying assumption that all cells in a multicellular organism share the same genome. RATIONALE Most PZM research has been single-tissue studies. An exciting next generation of PZM studies now examine PZMs across multiple tissues within an individual. However, the relatively small number of individuals and tissue types examined thus far have limited the ability to ascribe sources of mutation variation among individuals or to provide detailed descriptions of embryonic mutations that occur after the first few cell divisions. RESULTS To expand the field’s knowledge of the origins and functional consequences of PZMs, we sought to answer four key questions: (i) Are PZMs detectable? (ii) Where do PZMs occur? (iii) When do PZMs occur? (iv) When do PZMs contribute to phenotypic variation? We developed a suite of methods called Lachesis to detect single-nucleotide DNA PZMs from bulk RNA sequencing (RNA-seq) data. We applied these methods to the final major release of the NIH Genotype-Tissue Expression (GTEx) project—a catalog of 17,382 samples derived from 948 donors across 54 diverse tissues and cell types—to generate one of the largest and most diverse catalogs of PZMs in normal individuals. PZMs were pervasive and highly variable among donors and tissues. Nearly half of the variation in mutation burden among tissue samples was explained by technical and biological effects, such as age and tissue type. We also found that 9% of this variation was attributed to donor-specific effects. This means that there may be systematic differences among individuals in the number of mutations that they carry due to genetic and/or environmental effects, even after controlling for age. The types of mutations, i.e., mutation spectra, were also variable across tissues, which suggests that mutational mechanisms may be different across tissues. To estimate when PZMs occur during development, we first identified putative prenatal PZMs in the catalog and then mapped them to a developmental tree. Mutation burden and spectra varied throughout prenatal development, with early embryogenesis being the most mutagenic. Finally, to investigate the functional consequences of PZMs, we compared the predicted deleteriousness and selection strength on PZMs across space and time. We found that the predicted functional impact of PZMs varies during prenatal development and across tissues, and we identified a class of low-frequency prenatal mutations apparently more deleterious than all other forms of human genetic variation considered. The deleteriousness of germline mutations decreased through the lifecycle: testicular germ cells carried more deleterious mutations than ejaculated sperm and sperm resulting in viable offspring. CONCLUSION In this work, we present methods for detecting PZMs and a comprehensive and diverse atlas of PZMs in normal development and aging. Akin to how expansive surveys of normal germline variation are immensely beneficial for human and medical genetics, this catalog contributes to our understanding of normal postzygotic variation so that abnormal variation can be identified and interpreted. Uncovering the effects of these PZMs on human health and disease is an exciting and valuable endeavor. Postzygotic DNA mutations accumulate in the human body, are copied into RNA, and are detected by RNA-seq. A developmental map of these mutations resolves when and where in the body they occur and finds that the selection pressure on PZMs is different from inherited germline variants. BAMs, binary alignment maps; VCF, variant call format.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2023
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