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Updated: Jun 18, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
How many genetic variants remain to be discovered?
Yudi Pawitan1, Ku Chee Seng, Patrik K E Magnusson
1Department of Medical Epidemiology, Karolinska Institutet, Stockholm, Sweden. yudi.pawitan@ki.se
Discovering genetic variants for complex diseases requires large studies. Genome-wide association studies (GWAS) need substantial sample sizes, especially for common, low-penetrance variants, to explain disease heritability.
Area of Science:
- Genetics
- Statistical Genetics
- Computational Biology
Background:
- Most genetic markers from genome-wide association studies (GWAS) have small effect sizes.
- These markers explain a limited portion of the genetic contribution to complex diseases.
- Understanding the number of undiscovered variants and required study sizes is crucial.
Purpose of the Study:
- To derive the relationship between cumulative SNP risk, latent genetic risk models, and disease heritability.
- To determine the sample size needed for case-control studies to achieve a target number of discoveries among significant SNPs.
- To assess the feasibility of discovering numerous variants under different genetic models.
Main Methods:
- Derivation of the connection between cumulative SNP risk and heritability.
- Calculation of required sample sizes for case-control studies based on desired discoveries.
- Modeling of common and rare variant effects with varying penetrance.
Main Results:
- Explaining 40% heritability for complex phenotypes like type-2 diabetes may require approximately 800 variants with similar allele frequencies and effect sizes to validated SNPs.
- Discovering 800 common, low-penetrance variants among the top 5000 SNPs may necessitate studies with up to 50,000 cases and 50,000 controls.
- Large studies for common and rare low-penetrance models approach practical feasibility limits.
- Studies of existing sizes can be adequate for rare-variant, medium- to high-penetrance models (ORs 1.6-4.0) if genotyping technology advances.
Conclusions:
- Discovering common, low-penetrance variants for complex diseases necessitates extremely large sample sizes, potentially exceeding practical limits.
- Rare variants with higher penetrance offer a more feasible alternative for genetic studies with existing resources.
- Advancements in genotyping technology are key to interrogating more and rarer variants for comprehensive genetic discovery.
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