ReviewGenome biology2021
Personalized genome structure via single gamete sequencing.
Review in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Haplotype-resolved assembly of a pig genome using single-sperm sequencing.Communications biology · 2024Article
- HLA Genetics for the Human Diseases.Advances in experimental medicine and biology · 2024Review
- Long-read-based single sperm genome sequencing for chromosome-wide haplotype phasing of both SNPs and SVs.Nucleic acids research · 2023Article
- Biomaterials for Testicular Bioengineering: How far have we come and where do we have to go?Frontiers in endocrinology · 2023Review
- Article
- sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data.Nucleic acids research · 2022Article
- SSNIP-seq: A simple and rapid method for isolation of single-sperm nucleic acid for high-throughput sequencing.PloS one · 2022Article
- Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing - Review.Biomolecules · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic maps have been fundamental to building our understanding of disease genetics and evolutionary processes. The gametes of an individual contain all of the information required to perform a de novo chromosome-scale assembly of an individual's genome, which historically has been performed with populations and pedigrees. Here, we discuss how single-cell gamete sequencing offers the potential to merge the advantages of short-read sequencing with the ability to build personalized genetic maps and open up an entirely new space in personalized genetics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.