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Pollock, N. R.

Publications and source records attributed to Pollock, N. R..

6 recordsLinked to original sources

No evidence for disassortative mating based on HLA genotype in a natural fertility population

Studies dating back several decades have suggested that humans prefer potential mates with dissimilar HLA genotypes. Evidence for actualized disassortative mating based on the human-specific MHC remains inconclusive. For instance, cosmopolitan populations have often exhibited the opposite trend whereby assortative mating at the MHC is observed, indicating that social stratification may overwhelm potential biological mate preferences. However, small-scale, endogamous populations-whose social structures more closely resemble those throughout most of human evolution-have been largely overlooked. Here, we assess HLA dissimilarity among Himba pastoralists from Namibia, where socially accepted concurrency allows individuals to maintain both arranged marital and self-selected ("love match") partnerships. This provides a rare opportunity to directly test HLA similarity across contrasting partnership types (arranged vs chosen) within the same social system (n = 249 observed partnerships). We find no difference in HLA dissimilarity (neither at the genotype nor protein divergence level) between partnership types, nor in their fitness benefits to potential offspring as assessed via computationally predicted pathogen binding affinities. The effects of the partnership types likewise do not differ from a random, background distribution of 18,487 possible unrelated pairings. Finally, we detect extensive haplotype sharing across the HLA region, suggesting that episodes of fluctuating positive selection may be a stronger force maintaining HLA polymorphism than disassortative mating, even in an evolutionarily relevant social context.

evolutionary biology↗

Complex genetic variation in nearly complete human genomes

Diverse sets of complete human genomes are required to construct a pangenome reference and to understand the extent of complex structural variation. Here, we sequence 65 diverse human genomes and build 130 haplotype-resolved assemblies (130 Mbp median continuity), closing 92% of all previous assembly gaps1,2 and reaching telomere-to-telomere (T2T) status for 39% of the chromosomes. We highlight complete sequence continuity of complex loci, including the major histocompatibility complex (MHC), SMN1/SMN2, NBPF8, and AMY1/AMY2, and fully resolve 1,852 complex structural variants (SVs). In addition, we completely assemble and validate 1,246 human centromeres. We find up to 30-fold variation in -satellite high-order repeat (HOR) array length and characterize the pattern of mobile element insertions into -satellite HOR arrays. While most centromeres predict a single site of kinetochore attachment, epigenetic analysis suggests the presence of two hypomethylated regions for 7% of centromeres. Combining our data with the draft pangenome reference1 significantly enhances genotyping accuracy from short-read data, enabling whole-genome inference3 to a median quality value (QV) of 45. Using this approach, 26,115 SVs per sample are detected, substantially increasing the number of SVs now amenable to downstream disease association studies.

genomics↗

MHConstructor: A high-throughput, haplotype-informed solution to the MHC assembly challenge

The extremely high levels of genetic polymorphism within the human major histocompatibility complex (MHC) limit the usefulness of reference-based alignment methods for sequence assembly. We incorporate a short read de novo assembly algorithm into a workflow for novel application to the MHC. MHConstructor is a containerized pipeline designed for high-throughput, haplotype-informed, reproducible assembly of both whole genome sequencing and target-capture short read data in large, population cohorts. To-date, no other self-contained tool exists for the generation of de novo MHC assemblies from short read data. MHConstructor facilitates wide-spread access to high quality, alignment-free MHC sequence analysis.

bioinformatics↗

Rational Design of Live Biotherapeutic Products for the Prevention of Clostridioides difficile Infection

Clostridioides difficile infection (CDI) is one of the leading causes of healthcare- and antibiotic-associated diarrhea. While fecal microbiota transplantation (FMT) has emerged as a promising therapy for recurrent CDI, its exact mechanisms of action and long-term safety are not fully understood. Defined consortia of clonal bacterial isolates, known as live biotherapeutic products (LBPs), have been proposed as an alternative therapeutic option. However, the rational design of LBPs remains challenging. Here, we employ a computational pipeline and three independent metagenomic datasets to systematically identify microbial strains that have the potential to inhibit CDI. We first constructed the CDI-related microbial genome catalog, comprising 3,741 non-redundant metagenome-assembled genomes (nrMAGs) at the strain level. We then identified multiple potential protective nrMAGs that can be candidates for the design of microbial consortia targeting CDI, including strains from Dorea formicigenerans, Oscillibacter welbionis, and Faecalibacterium prausnitzii. Importantly, some of these potential protective nrMAGs were found to play an important role in the success of FMT, and the majority of the top protective nrMAGs can be validated by various previously reported findings. Our results demonstrate a computational framework for the rational selection of microbial strains targeting CDI, paving the way for the computational design of microbial consortia against other enteric infections.

microbiology↗

Assessment of the Clinical Utility of Plasma Metagenomic Next-Generation Sequencing in a Pediatric Hospital Population

BackgroundMetagenomic next-generation sequencing (mNGS) of plasma cell-free DNA (cfDNA) is commercially available, but its role in the workup of infectious diseases is unclear. MethodsTo understand the clinical utility of plasma mNGS, we retrospectively reviewed patients tested at a pediatric institution over 2 years to evaluate the clinical relevance of the organism(s) identified and impact on antimicrobial management. We also investigated the effect of pre-test antimicrobials and interpretation of molecules of microbial cfDNA per microliter (MPM) plasma. Results29/59 (49%) mNGS tests detected organism(s), and 28/51 (55%) organisms detected were clinically relevant. Median MPM of clinically relevant organisms was 1533 versus 221 for irrelevant organisms (p=0.01). mNGS test sensitivity and specificity were 53% and 79%, respectively, with a positive predictive value (PPV) of 72% and negative predictive value (NPV) of 50%. 14% of tests impacted clinical management by changing antimicrobial therapy. Immunocompromised status was the only patient characteristic that trended towards a significant clinical impact (p=0.056). No patients with culture-negative endocarditis had organisms identified by mNGS. There were no significant differences in antimicrobial pre-test duration between tests with clinically relevant organism(s) versus those that returned negative, nor was the MPM different between pre-treated and un-treated organisms, suggesting that 10 days of antimicrobial therapy as observed in this cohort did not sterilize testing; however, no pre-treated organisms identified resulted in a new diagnosis impacting clinical management ConclusionsPlasma mNGS demonstrated higher utility for immunocompromised patients, but given the low PPV and NPV, cautious interpretation and Infectious Diseases consultation are prudent. SummaryWe evaluate the test performance characteristics and clinical utility of plasma metagenomic next-generation sequencing in a pediatric hospital cohort and demonstrate sensitivity and specificity of 53% and 79%, with 14% of tests impacting antimicrobial management.

microbiology↗

Detection of Mycobacterium tuberculosis in pediatric stool samples using TruTip technology

BackgroundRapid and accurate diagnosis of childhood tuberculosis (TB) is challenging because children are often unable to produce the sputum sample required for conventional tests. Stool is an alternative sample type that is easy to collect from children, and studies investigating the use of stool for molecular detection of Mycobacterium tuberculosis (Mtb) have led to promising results. However, tests performed thus far are not able to examine multi-drug resistance. The TruTip workstation (Akonni Biosystems) is an automated lysis and extraction platform that can be integrated with a closed amplification system to detect both Mtb and resistance-associated mutations. Our objective here was to evaluate the use of TruTip extraction technology for Mtb detection in stool. MethodsWe tested stool samples of 259 children with TB symptoms, ages 0-14 years old, in Lima, Peru. We used the TruTip workstation for sample processing and extraction, followed by IS6110 real-time PCR to detect the presence of Mtb DNA. We calculated assay sensitivity in two groups: (1) children with culture confirmed TB (N=22); and (2) children with unconfirmed, clinically diagnosed TB (N=84). We calculated specificity among children in whom TB was ruled out (N=153). Among children with TB, we examined factors associated with a positive stool test. ResultsOverall assay sensitivity was 59% (95% confidence interval 39%-80%) and 1.2% (0.0%-6.5%) in children with culture-confirmed and clinically-diagnosed TB, respectively, and specificity was 97% (93%-99%). The assay detected Mtb in stool of 7/7 children with smear-positive TB [100% sensitivity; (59%-100%)], and in 6/15 [40% (16%-68%)] of children with smear-negative, culture-confirmed TB. Older age, smear positivity, culture positivity and cavitary disease were associated with a positive stool result. ConclusionFor molecular Mtb detection from stool, the TruTip workstation, in combination with IS6110 amplification, led to sensitivity and specificity estimates comparable to other tests such as Xpert. Future optimization is required to also diagnose TB disease in children who now received an unconfirmed diagnosis.

microbiology↗