ArticleQuantitative biology (Beijing, China)2021
Advances and challenges in quantitative delineation of the genetic architecture of complex traits.
Article in Quantitative biology (Beijing, China), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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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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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.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of genome-wide association studies revealed significant QTL and candidate genes for loin muscle area in three breeding pigs.Scientific reports · 2025Pooled it
- Deciphering the genetic basis of chlorophyll fluorescence parameters and vegetation indices under heat stress in blueberry.BMC plant biology · 2025Article
- Scrutinizing neurodegenerative diseases: decoding the complex genetic architectures through a multi-omics lens.Human genomics · 2024Review
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Authors and funding
2 authors.
Funding
Abstract
Background: Genome-wide association studies (GWAS) have been widely adopted in studies of human complex traits and diseases. Results: This review surveys areas of active research: quantifying and partitioning trait heritability, fine mapping functional variants and integrative analysis, genetic risk prediction of phenotypes, and the analysis of sequencing studies that have identified millions of rare variants. Current challenges and opportunities are highlighted. Conclusion: GWAS have fundamentally transformed the field of human complex trait genetics. Novel statistical and computational methods have expanded the scope of GWAS and have provided valuable insights on the genetic architecture underlying complex phenotypes.
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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.