ArticleGenetic epidemiology2011
Linkage analysis without defined pedigrees.
Article in Genetic epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed.
- Identity-By-Descent Mapping Using Multi-Individual IBD With Genome-Wide Multiple Testing Adjustment.Genetic epidemiology · 2025Article
- The genetics-morphology-behavior trifecta: Unraveling the single greatest limitation affecting our understanding of chondrichthyan evolution.Ecology and evolution · 2023Article
- A fast linkage method for population GWAS cohorts with related individuals.Genetic epidemiology · 2023Article
- An unbiased kinship estimation method for genetic data analysis.BMC bioinformatics · 2022Article
- OPENMENDEL: a cooperative programming project for statistical genetics.Human genetics · 2020Review
- The new era of whole-exome sequencing in congenital heart disease: brand-new insights into rare pathogenic variants.Journal of thoracic disease · 2018Article
- Profiling and Leveraging Relatedness in a Precision Medicine Cohort of 92,455 Exomes.American journal of human genetics · 2018Article
- Potassium channel gene associations with joint processing speed and white matter impairments in schizophrenia.Genes, brain, and behavior · 2017Article
- Fast Genome-Wide QTL Association Mapping on Pedigree and Population Data.Genetic epidemiology · 2017Article
- Efficient Estimation of Realized Kinship from Single Nucleotide Polymorphism Genotypes.Genetics · 2017Article
- Quickly identifying identical and closely related subjects in large databases using genotype data.PloS one · 2017Article
- Genome-wide QTL and eQTL analyses using Mendel.BMC proceedings · 2016Article
- Pedigree-Free Descent-Based Gene Mapping from Population Samples.Human heredity · 2015Article
- PRIMUS: rapid reconstruction of pedigrees from genome-wide estimates of identity by descent.American journal of human genetics · 2014Article
- A general approach for haplotype phasing across the full spectrum of relatedness.PLoS genetics · 2014Article
- Posterior amorphous corneal dystrophy is associated with a deletion of small leucine-rich proteoglycans on chromosome 12.PloS one · 2014Article
- Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data.Annual review of statistics and its application · 2014Article
- REFINING GENETICALLY INFERRED RELATIONSHIPS USING TREELET COVARIANCE SMOOTHING.The annals of applied statistics · 2013Article
- Mendel: the Swiss army knife of genetic analysis programs.Bioinformatics (Oxford, England) · 2013Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The need to collect accurate and complete pedigree information has been a drawback of family-based linkage and association studies. Even in case-control studies, investigators should be aware of, and condition on, familial relationships. In single nucleotide polymorphism (SNP) genome scans, relatedness can be directly inferred from the genetic data rather than determined through interviews. Various methods of estimating relatedness have previously been implemented, most notably in PLINK. We present new fast and accurate algorithms for estimating global and local kinship coefficients from dense SNP genotypes. These algorithms require only a single pass through the SNP genotype data. We also show that these estimates can be used to cluster individuals into pedigrees. With these estimates in hand, quantitative trait locus linkage analysis proceeds via traditional variance components methods without any prior relationship information. We demonstrate the success of our algorithms on simulated and real data sets. Our procedures make linkage analysis as easy as a typical genomewide association study.
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.