ReviewHuman genomics2004
Population genetic analysis of ascertained SNP data.
Review in Human genomics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
What it found
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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
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Meta-Assembly of Selection Signatures in Cattle.PloS one · 2016Pooled it
- Methods to detect selection history in a population under ongoing directional selection.Genetics · 2026Article
- Benchmarking imputation accuracy in the presence or absence of a reference panel.Molecular biology and evolution · 2026Article
- Robustness in population-structure and demographic-inference results derived from the Aedes aegypti genotyping chip and whole-genome sequencing data.G3 (Bethesda, Md.) · 2024Article
- Consequences of domestication in eastern oyster: Insights from whole genomic analyses.Evolutionary applications · 2024Article
- Screening of interleukin 17F gene polymorphisms and eight subgingival pathogens in chronic periodontitis in Libyan patients.The Libyan journal of medicine · 2023Article
- Modeling of African population history using f-statistics is biased when applying all previously proposed SNP ascertainment schemes.PLoS genetics · 2023Article
- Modeling of African population history usingbioRxiv : the preprint server for biology · 2023Article
- Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2.PloS one · 2023Article
- Diversity and population structure of Nordic potato cultivars and breeding clones.BMC plant biology · 2022Article
- Recommendations for improving statistical inference in population genomics.PLoS biology · 2022Article
- Whole-Genome Analysis Deciphers Population Structure and Genetic Introgression Among Bovine Species.Frontiers in genetics · 2022Article
- Effects of single nucleotide polymorphism ascertainment on population structure inferences.G3 (Bethesda, Md.) · 2021Article
- How imputation can mitigate SNP ascertainment Bias.BMC genomics · 2021Article
- Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays.Genome research · 2021Article
- How array design creates SNP ascertainment bias.PloS one · 2021Article
- SNP barcodes provide higher resolution than microsatellite markers to measure Plasmodium vivax population genetics.Malaria journal · 2020Article
- The Brazilian Initiative on Precision Medicine (BIPMed): fostering genomic data-sharing of underrepresented populations.NPJ genomic medicine · 2020Article
- Deciphering the Genetic Diversity of Landraces With High-Throughput SNP Genotyping of DNA Bulks: Methodology and Application to the Maize 50k Array.Frontiers in plant science · 2020Article
- Toward a Rational Approach to Design Split G-Quadruplex Probes.ACS chemical biology · 2019Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The large single nucleotide polymorphism (SNP) typing projects have provided an invaluable data resource for human population geneticists. Almost all of the available SNP loci, however, have been identified through a SNP discovery protocol that will influence the allelic distributions in the sampled loci. Standard methods for population genetic analysis based on the available SNP data will, therefore, be biased. This paper discusses the effect of this ascertainment bias on allelic distributions and on methods for quantifying linkage disequilibrium and estimating demographic parameters. Several recently developed methods for correcting for the ascertainment bias will also be discussed.
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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.