A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants
Open accessAbstract
Since associations between complex diseases and common variants are typically weak, and approaches to genotyping rare variants (e.g. by next-generation resequencing) multiply, there is an urgent demand to develop powerful association tests that are able to detect disease associations with both common and rare variants. In this article we present such a test. It is based on data-adaptive modifications to a so-called Sum test originally proposed for common variants, which aims to strike a balance between utilizing information on multiple markers in linkage disequilibrium and reducing the cost of large degrees of freedom or of multiple testing adjustment. When applied to multiple common or rare variants in a candidate region, the proposed test is easy to use with 1 degree of freedom and without the need for multiple testing adjustment. We show that the proposed test has high power across a wide range of scenarios with either common or rare variants, or both. In particular, in some situations the proposed test performs better than several commonly used methods.
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Logic regression, first introduced for sequence data analysis, does not require variants to be collapsed beforehand.
“Logic regression, which is similar in ways to the method proposed by Han and Pan,40 was initially proposed for analyzing sequence data and does not assume that variants have been collapsed a priori.”
From Statistical analysis strategies for association studies involving rare variants (2010) · cites this paper as [40]
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- Authors
- Han, F., & Pan, W.
- Affiliations
- University of Minnesota (US)
- ORCID
- Pan, Wei
- Venue
- Human Heredity
- Publisher
- S. Karger AG
- Published
- 2010
- Volume
- 70
- Issue
- 1
- Pages
- 42-54
- ISSN
- 0001-5652 (ISSN-L)
- 1423-0062
- PMC
- PMC2912645
- OpenAlex
- W2027266229
- Cited by
- 306
- References
- 38
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 3 · 2023: 6 · 2022: 8 · 2021: 6 · 2020: 10 · 2019: 25 · 2018: 18 · 2017: 18 · 2016: 17 · 2015: 24 · 2014: 47 · 2013: 32 · 2012: 41
- FWCI
- 19.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Heredity (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R01HL065462, HL65462)
- National Institute of General Medical Sciences (GM081535, R01GM081535)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- rare variants, common genetic variants, linkage disequilibrium, multiple testing correction, complex diseases, statistical power, candidate regions
- MeSH terms
- Humans, Linkage Disequilibrium, Logistic Models, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
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