ArticleStatistics in medicine2010
Using ancestry matching to combine family-based and unrelated samples for genome-wide association studies.
Article in Statistics in medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed.
- The Genetic Architecture of Obsessive-Compulsive Disorder: Contribution of Liability to OCD From Alleles Across the Frequency Spectrum.The American journal of psychiatry · 2022Article
- Hereditary variants of unknown significance in African American women with breast cancer.PloS one · 2022Article
- Functional rare and low frequency variants in BLK and BANK1 contribute to human lupus.Nature communications · 2019Article
- A Method to Exploit the Structure of Genetic Ancestry Space to Enhance Case-Control Studies.American journal of human genetics · 2016Article
- A genome-wide association study of autism using the Simons Simplex Collection: Does reducing phenotypic heterogeneity in autism increase genetic homogeneity?Biological psychiatry · 2015Article
- Individual common variants exert weak effects on the risk for autism spectrum disorders.Human molecular genetics · 2012Article
- Rare copy number variants in tourette syndrome disrupt genes in histaminergic pathways and overlap with autism.Biological psychiatry · 2012Article
- Identification of common variants influencing risk of the tauopathy progressive supranuclear palsy.Nature genetics · 2011Article
- Article
- Do common variants play a role in risk for autism? Evidence and theoretical musings.Brain research · 2011Review
- A genome-wide scan for common alleles affecting risk for autism.Human molecular genetics · 2010Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We propose a method to analyze family-based samples together with unrelated cases and controls. The method builds on the idea of matched case-control analysis using conditional logistic regression (CLR). For each trio within the family, a case (the proband) and matched pseudo-controls are constructed, based upon the transmitted and untransmitted alleles. Unrelated controls, matched by genetic ancestry, supplement the sample of pseudo-controls; likewise unrelated cases are also paired with genetically matched controls. Within each matched stratum, the case genotype is contrasted with control/pseudo-control genotypes via CLR, using a method we call matched-CLR (mCLR). Eigenanalysis of numerous SNP genotypes provides a tool for mapping genetic ancestry. The result of such an analysis can be thought of as a multidimensional map, or eigenmap, in which the relative genetic similarities and differences amongst individuals is encoded in the map. Once constructed, new individuals can be projected onto the ancestry map based on their genotypes. Successful differentiation of individuals of distinct ancestry depends on having a diverse, yet representative sample from which to construct the ancestry map. Once samples are well-matched, mCLR yields comparable power to competing methods while ensuring excellent control over Type I error.
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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.