ArticleThe annals of applied statistics2017
A UNIFIED FRAMEWORK FOR VARIANCE COMPONENT ESTIMATION WITH SUMMARY STATISTICS IN GENOME-WIDE ASSOCIATION STUDIES.
Article in The annals of applied statistics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.
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Who cites it
81 citing papers in PubMed, 2 syntheses or guidelines pooled it.
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- A Review of Statistical Methods for Identifying Trait-Relevant Tissues and Cell Types.Frontiers in genetics · 2020Pooled it
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- When can whole-genome SNP heritability be reliably estimated from summary statistics?bioRxiv : the preprint server for biology · 2026Article
- Genetic prediction with ARG-powered linear algebra.Genetics · 2026Article
- A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India.HGG advances · 2026Article
- A biobank-scale method for learning modulators of gene-environment interaction underlying human complex traits from multiple environmental exposures.bioRxiv : the preprint server for biology · 2026Article
- Genetic correlation-guided mega-analysis of DO mice provides mechanistic insight and candidate genes for age-related pathologies.PLoS genetics · 2026Article
- Rapid Evolution in a Coral Population Following a Mass Mortality Event.Evolutionary applications · 2026Article
- Estimating the heritability of longitudinal rate-of-change: genetic insights into PSA velocity in prostate cancer-free individuals.Biostatistics (Oxford, England) · 2026Article
- Towards improved fine-mapping of candidate causal variants.Nature reviews. Genetics · 2025Review
- Logica: A likelihood framework for cross-ancestry local genetic correlation estimation using summary statistics.American journal of human genetics · 2025Article
- Powerful one-dimensional scan to detect heterotic quantitative trait loci.Nature communications · 2025Article
- HIGH-DIMENSIONAL STATISTICAL INFERENCE FOR LINKAGE DISEQUILIBRIUM SCORE REGRESSION AND ITS CROSS-ANCESTRY EXTENSIONS.Annals of statistics · 2025Article
- Analytical and computational solution for the estimation of SNP-heritability in biobank-scale and distributed datasets.PLoS computational biology · 2025Article
- Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies.American journal of human genetics · 2025Article
- An introgression from Triticum timopheevii reduces grain protein content in winter wheat populations.The plant genome · 2025Article
- Dissecting the genetic basis of response to salmonid alphavirus in Atlantic salmon.BMC genomics · 2025Article
- Precise estimation of in-depth relatedness in biobank-scale datasets using deepKin.Cell reports methods · 2025Article
21 more citing papers are in PubMed but not listed here.
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Abstract
Linear mixed models (LMMs) are among the most commonly used tools for genetic association studies. However, the standard method for estimating variance components in LMMs-the restricted maximum likelihood estimation method (REML)-suffers from several important drawbacks: REML requires individual-level genotypes and phenotypes from all samples in the study, is computationally slow, and produces downward-biased estimates in case control studies. To remedy these drawbacks, we present an alternative framework for variance component estimation, which we refer to as MQS. MQS is based on the method of moments (MoM) and the minimal norm quadratic unbiased estimation (MINQUE) criterion, and brings two seemingly unrelated methods-the renowned Haseman-Elston (HE) regression and the recent LD score regression (LDSC)-into the same unified statistical framework. With this new framework, we provide an alternative but mathematically equivalent form of HE that allows for the use of summary statistics. We provide an exact estimation form of LDSC to yield unbiased and statistically more efficient estimates. A key feature of our method is its ability to pair marginal
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