ReviewNature reviews. Genetics2015
Genetic linkage analysis in the age of whole-genome sequencing.
Review in Nature reviews. Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 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
150 citing papers in PubMed.
- f-treeGC: a questionnaire-based family tree-creation software for genetic counseling and genome cohort studies.BMC medical genetics · 2017Trial
- Whole-exome sequencing to analyze population structure, parental inbreeding, and familial linkage.Proceedings of the National Academy of Sciences of the United States of America · 2016Trial
- Association of PPARγ (rs1801282) and TCF7L2 (rs7903146) gene polymorphisms and susceptibility of Type 1 diabetes mellitus in Egyptian children.Journal, genetic engineering & biotechnology · 2026Article
- Identification of Nuclear Genetic Loci Linked to Clinical Features of the m.3243A>G Mitochondrial DNA Variant.Neurology. Genetics · 2026Article
- Epidemiological, clinical, and molecular studies on nail disorders in the human population of Punjab, Pakistan.Molecular biology reports · 2026Article
- Genetic profiling enhances cystic fibrosis prenatal diagnosis.Scientific reports · 2026Article
- Estimating uncertainty in family-based GWAS.bioRxiv : the preprint server for biology · 2026Article
- Interpretable multi-omics machine learning reveals drought-driven shifts in plant-microbe interactions.Environmental microbiome · 2026Article
- Whole-genome sequencing reveals novel ryanodine receptor mutations P4568L and Y4701D conferring high-level chlorantraniliprole resistance in Spodoptera litura (Lepidoptera: Noctuidae).Pest management science · 2026Article
- Exome Sequencing and Molecular Modeling Reveal Novel Loci in Familial Multiple Sclerosis: The Importance of BTNL3 and BTNL8 in Disease Pathogenesis.Molecular neurobiology · 2025Article
- The Complex Gene-Carbohydrate Interaction in Type 2 Diabetes: Between Current Knowledge and Future Perspectives.Nutrients · 2025Review
- Pedixplorer: a Bioconductor package to streamline pedigree design and visualization.Bioinformatics (Oxford, England) · 2025Article
- Joint linkage and association analysis identifies genomic regions and candidate genes for yield-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Review
- Targeted analysis of dyslexia-associated regions on chromosomes 6, 12 and 15 in large multigenerational cohorts.PloS one · 2025Article
- HORNET: tools to find genes with causal evidence and their regulatory networks using eQTLs.Bioinformatics advances · 2025Article
- Haplotyping-based preimplantation genetic testing for inherited cardiovascular disease: a multidisciplinary approach.Molecular genetics and genomics : MGG · 2024Article
- Learning genotype-phenotype associations from gaps in multi-species sequence alignments.Briefings in bioinformatics · 2024Article
- BICEP: Bayesian inference for rare genomic variant causality evaluation in pedigrees.Briefings in bioinformatics · 2024Article
- Genetic analysis of cognitive preservation in the midwestern Amish reveals a novel locus on chromosome 2.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
90 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
3 authors.
Funding
Abstract
For many years, linkage analysis was the primary tool used for the genetic mapping of Mendelian and complex traits with familial aggregation. Linkage analysis was largely supplanted by the wide adoption of genome-wide association studies (GWASs). However, with the recent increased use of whole-genome sequencing (WGS), linkage analysis is again emerging as an important and powerful analysis method for the identification of genes involved in disease aetiology, often in conjunction with WGS filtering approaches. Here, we review the principles of linkage analysis and provide practical guidelines for carrying out linkage studies using WGS data.
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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.