Christina M. Lill
Genetics · 2010–2019
A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 93 citations into it
- Molecular Biology — 65 citations into it
Whom Christina M. Lill trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Christina M. Lill's perspective
Ordered by how strongly the researchers Christina M. Lill trusts endorse each paper. Same corpus, a different order for every researcher.
- Why Most Published Research Findings Are False
- Siglecs and their roles in the immune system (Nature reviews. Immunology)
- Finding the missing heritability of complex diseases (Nature)
- Rare Variants of IFIH1, a Gene Implicated in Antiviral Responses, Protect against Type 1 Diabetes (Science)
- Rare Variants Create Synthetic Genome-Wide Associations (PLoS Biology)
- Genome-wide association studies for complex traits: consensus, uncertainty and challenges (Nature reviews genetics)
- Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. (American Journal of Human Genetics)
- Pooled association tests for rare variants in exon-resequencing studies. (American Journal of Human Genetics)
- Genome-partitioning of genetic variation for complex traits using common SNPs (Nature Genetics)
- Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
Their papers
- Multiple Sclerosis Genomic Map implicates peripheral immune cells & microglia in susceptibility (2019) — 1,186 citations
- Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences (2019) — 629 citations
- Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (2018) — 630 citations
- Class II HLA interactions modulate genetic risk for multiple sclerosis (2015) — 366 citations
- Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease (2014) — 1,858 citations
- Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis (2013) — 1,073 citations
- The genetics of Alzheimer disease: back to the future. (2010) — 866 citations