ReviewThe Journal of clinical investigation2005
Factors affecting statistical power in the detection of genetic association.
Review in The Journal of clinical investigation, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses 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
55 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- In the context of the triple burden of malnutrition: A systematic review of gene-diet interactions and nutritional status.Critical reviews in food science and nutrition · 2024Pooled it
- FTO gene polymorphisms and obesity risk: a meta-analysis.BMC medicine · 2011Pooled it
- Identification of genetic variants affecting reproduction traits in Vrindavani cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Sample Size Calculation in Genetic Association Studies: A Practical Approach.Life (Basel, Switzerland) · 2023Review
- GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits.Frontiers in plant science · 2023Article
- A System for Phenotype Harmonization in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) Program.American journal of epidemiology · 2021Article
- Impact of genotypic errors with equal and unequal family contribution on accuracy of genomic prediction in aquaculture using simulation.Scientific reports · 2021Article
- Longevity Relatives Count score identifies heritable longevity carriers and suggests case improvement in genetic studies.Aging cell · 2020Article
- A Review of the Genetics of Hypertension with a Focus on Gene-Environment Interactions.Current hypertension reports · 2017Review
- Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study.Genetic epidemiology · 2017Article
- A POWERFUL METHOD FOR INCLUDING GENOTYPE UNCERTAINTY IN TESTS OF HARDY-WEINBERG EQUILIBRIUM.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017Article
- Association Analysis in Rice: From Application to Utilization.Frontiers in plant science · 2016Review
- Article
- Genome-Wide Association Implicates Candidate Genes Conferring Resistance to Maize Rough Dwarf Disease in Maize.PloS one · 2015Article
- Article
- Repeat polymorphisms in ESR2 and AR and colorectal cancer risk and prognosis: results from a German population-based case-control study.BMC cancer · 2014Article
- Value of Mendelian laws of segregation in families: data quality control, imputation, and beyond.Genetic epidemiology · 2014Article
- Single-nucleotide polymorphisms in PtoCesA7 and their association with growth and wood properties in Populus tomentosa.Molecular genetics and genomics : MGG · 2014Article
- SASI-Seq: sample assurance Spike-Ins, and highly differentiating 384 barcoding for Illumina sequencing.BMC genomics · 2014Article
- Diversity, differentiation, and linkage disequilibrium: prospects for association mapping in the malaria vector Anopheles arabiensis.G3 (Bethesda, Md.) · 2014Article
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.
Funding
Abstract
The mapping of disease genes to specific loci has received a great deal of attention in the last decade, and many advances in therapeutics have resulted. Here we review family-based and population-based methods for association analysis. We define the factors that determine statistical power and show how study design and analysis should be designed to maximize the probability of localizing disease genes.
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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.