ArticleNature genetics2020
Evaluating and improving heritability models using summary statistics.
Article in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 13 of them syntheses that pooled it.
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Who cites it
129 citing papers in PubMed, 13 syntheses or guidelines pooled it.
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- Large-scale multi-trait genome-wide analysis for inflammatory bowel disease reveals new insights into its molecular mechanisms and emphasizes the roles of systemic immune regulation.Briefings in bioinformatics · 2025Pooled it
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- Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.Nature genetics · 2025Pooled it
- Cross-ancestry genome-wide association study and systems-level integrative analyses implicate new risk genes and therapeutic targets for depression.Nature human behaviour · 2025Pooled it
- Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.Nature human behaviour · 2025Pooled it
- Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis.Journal of translational medicine · 2025Pooled it
- Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction.Nature genetics · 2024Pooled it
- GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture.Nature genetics · 2023Pooled it
- Genetically adjusted PSA levels for prostate cancer screening.Nature medicine · 2023Pooled it
- Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries.Nature genetics · 2023Pooled it
- Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals.Nature communications · 2020Pooled it
- Methods to detect selection history in a population under ongoing directional selection.Genetics · 2026Article
- A pangenome of tetraploid wheat reveals the genetic architecture underlying domestication and genomic diversity for breeding.Nature genetics · 2026Article
- Genetic Associations with Temporal Modeling of Alzheimer's Disease Progression Supports a Novel Paradigm for Disease Risk.medRxiv : the preprint server for health sciences · 2026Article
- Regulatory mechanisms driven by functional 3'-UTR variants in alcohol use disorder and related traits.Genome biology · 2026Article
- Mapping structural variants in Populus tomentosa reveals adaptive signatures and improves prediction of wood properties.Nature communications · 2026Article
- Association and risk prediction of 19 complex diseases with polygenic scores and socioeconomic status.Communications medicine · 2026Article
- Stabilizing and directional selection shape the genetic variation of gene expression in the transcriptome of Chlamydomonas.Molecular biology and evolution · 2026Article
69 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is currently much debate regarding the best model for how heritability varies across the genome. The authors of GCTA recommend the GCTA-LDMS-I model, the authors of LD Score Regression recommend the Baseline LD model, and we have recommended the LDAK model. Here we provide a statistical framework for assessing heritability models using summary statistics from genome-wide association studies. Based on 31 studies of complex human traits (average sample size 136,000), we show that the Baseline LD model is more realistic than other existing heritability models, but that it can be improved by incorporating features from the LDAK model. Our framework also provides a method for estimating the selection-related parameter α from summary statistics. We find strong evidence (P < 1 × 10
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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.