Seunggeun Lee
Genetics · 2011–2018
A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 115 citations into it; #3,079 of 6,854 by trust here, #1,625 by citations
- Molecular Biology — 60 citations into it
- Statistics and Probability — 7 citations into it
Whom Seunggeun Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bingshan Li
- B. E. Madsen
- Alkes L Price
- Suzanne M. Leal
- Sharon R. Browning
- Dawei Liu
- Jonathan Marchini
- Pauline Crystal Ng
- Xihong Lin
- Christoph Lippert
Who trusts Seunggeun Lee overall
- B. Feng
- Bogdan Pasaniuc
- Daniel C. Koboldt
- Evangelos Evangelou
- Alkes L Price
- John P. A. Ioannidis
- Xiaowei Zhan
Papers from Seunggeun Lee's perspective
Ordered by how strongly the researchers Seunggeun Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. (American Journal of Human Genetics)
- Common SNPs explain a large proportion of heritability for human height (Nature Genetics)
- Multiple Rare Alleles Contribute to Low Plasma Levels of HDL Cholesterol (Science)
- Common and rare variants in multifactorial susceptibility to common diseases (Nature Genetics)
- A method and server for predicting damaging missense mutations
- Most rare missense alleles are deleterious in humans: implications for complex disease and association studies. (American Journal of Human Genetics)
- Principal components analysis corrects for stratification in genome-wide association studies
- Calibrating a coalescent simulation of human genome sequence variation. (Genome Research)
- Exome sequencing as a tool for Mendelian disease gene discovery
- New approaches to population stratification in genome-wide association studies
Their papers
- Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies (2017) — 1,245 citations
- Biobank-driven genomic discovery yields new insight into atrial fibrillation biology (2018) — 749 citations
- Rare-variant association analysis: study designs and statistical tests. (2014) — 1,002 citations
- Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. (2012) — 1,064 citations
- Optimal tests for rare variant effects in sequencing association studies. (2012) — 697 citations
- Rare-variant association testing for sequencing data with the sequence kernel association test. (2011) — 733 citations