ReviewHuman mutation2004
Single-molecule analysis for molecular haplotyping.
Review in Human mutation, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 41 citations in OpenAlex.
- Gold nanoparticles for high-throughput genotyping of long-range haplotypes.Nature nanotechnology · 2011Article
- Labeling DNA for single-molecule experiments: methods of labeling internal specific sequences on double-stranded DNA.Nanoscale · 2011Review
- Direct determination of haplotypes from single DNA molecules.Nature methods · 2009Article
- An ancient repeat sequence in the ATP synthase beta-subunit gene of forcipulate sea stars.Journal of molecular evolution · 2007Article
- Rapid DNA mapping by fluorescent single molecule detection.Nucleic acids research · 2007Article
- Haplotype thinking in lung disease.Proceedings of the American Thoracic Society · 2007Review
- Long-range multilocus haplotype phasing of the MHC.Proceedings of the National Academy of Sciences of the United States of America · 2006Article
- A simple DNA stretching method for fluorescence imaging of single DNA molecules.Nucleic acids research · 2006Article
- Shotgun haplotyping: a novel method for surveying allelic sequence variation.Nucleic acids research · 2005Article
- Direct molecular haplotyping by melting curve analysis of hybridization probes: beta 2-adrenergic receptor haplotypes as an example.Nucleic acids research · 2005Article
- A comprehensive literature review of haplotyping software and methods for use with unrelated individuals.Human genomics · 2005Review
- Molecular haplotyping by linking emulsion PCR: analysis of paraoxonase 1 haplotypes and phenotypes.Nucleic acids research · 2005Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In the genome era, there is great hope that genetic approaches such as linkage equilibrium mapping can be used to study common human disorders using a case-control population association study design. Ideally, the parental chromosomes are marked so that chromosomal regions in the form of haplotypes are compared in these studies to increase the power of association. Determining the haplotypes in a diploid individual is a major technical challenge in genetic studies of complex traits. A molecular approach to haplotyping is therefore highly desirable. Recent advances in DNA preparation, separation, labeling, and image analysis provide hope that a strategy of using a three-dye system coupled with DNA distance measurements between alleles will yield haplotype information of sufficiently high quality for genetic studies. In this work, we present the outline of the major challenges one must meet in developing a robust strategy for SNP detection and molecular haplotyping using single molecule analysis.
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.