ArticleHuman heredity2011
The structure of genetic linkage data: from LIPED to 1M SNPs.
Article in Human heredity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Adjustment for Genotype Imputation Uncertainty Corrects for Inflated Type I Error in Family-Based Association Testing.Genetic epidemiology · 2025Article
- Genomic Exploration of Essential Hypertension in African-Brazilian Quilombo Populations: A Comprehensive Approach With Pedigree Analysis and Family-Based Association Studies.Journal of the American Heart Association · 2025Article
- Genome-wide linkage analysis combined with genome sequencing in large families with intracranial aneurysms.European journal of human genetics : EJHG · 2022Article
- Whole-genome sequencing identifies functional noncoding variation in SEMA3C that cosegregates with dyslexia in a multigenerational family.Human genetics · 2021Article
- Contribution of common and rare variants to bipolar disorder susceptibility in extended pedigrees from population isolates.Translational psychiatry · 2020Article
- Comparison and assessment of family- and population-based genotype imputation methods in large pedigrees.Genome research · 2019Article
- Analysis of pedigree data in populations with multiple ancestries: Strategies for dealing with admixture in Caribbean Hispanic families from the ADSP.Genetic epidemiology · 2018Article
- Variants regulating ZBTB4 are associated with age-at-onset of Alzheimer's disease.Genes, brain, and behavior · 2018Article
- GIGI-Quick: a fast approach to impute missing genotypes in genome-wide association family data.Bioinformatics (Oxford, England) · 2018Article
- Multipoint genome-wide linkage scan for nonword repetition in a multigenerational family further supports chromosome 13q as a locus for verbal trait disorders.Human genetics · 2016Article
- Family-based approaches: design, imputation, analysis, and beyond.BMC genetics · 2016Article
- Genetic Candidate Variants in Two Multigenerational Families with Childhood Apraxia of Speech.PloS one · 2016Article
- Identity-by-descent estimation with population- and pedigree-based imputation in admixed family data.BMC proceedings · 2016Article
- PBAP: a pipeline for file processing and quality control of pedigree data with dense genetic markers.Bioinformatics (Oxford, England) · 2015Article
- Family-based genome scan for age at onset of late-onset Alzheimer's disease in whole exome sequencing data.Genes, brain, and behavior · 2015Article
- Pedigree-Free Descent-Based Gene Mapping from Population Samples.Human heredity · 2015Article
- Combining family- and population-based imputation data for association analysis of rare and common variants in large pedigrees.Genetic epidemiology · 2014Article
- PedBLIMP: extending linear predictors to impute genotypes in pedigrees.Genetic epidemiology · 2014Article
- Detection of Mendelian consistent genotyping errors in pedigrees.Genetic epidemiology · 2014Article
- A statistical framework to guide sequencing choices in pedigrees.American journal of human genetics · 2014Article
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Abstract
There are three assumptions of independence or conditional independence that underlie linkage likelihood computations on sets of related individuals. The first is the independence of meioses, which gives rise to the conditional independence of haplotypes carried by offspring, given those of their parents. The second derives from the assumption of absence of genetic interference, which gives rise to the conditional independence of inheritance vectors, given the inheritance vector at an intermediate location. The third is the assumption of independence of allelic types, at the population level, both among haplotypes of unrelated individuals and also over the loci along a given haplotype. These three assumptions have been integral to likelihood computations since the first lod scores were computed, and remain key components in analysis of modern genetic data. In this paper we trace the role of these assumptions through the history of linkage likelihood computation, through to a new framework of genetic linkage analysis in the era of dense genomic marker data.
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