Gibran Hemani
Genetics · 2012–2021
A researcher in the Science corpus: 20 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 413 citations into it; #2,168 of 6,854 by trust here, #567 by citations
- Molecular Biology — 212 citations into it; #13,695 of 17,773 by trust here, #8,089 by citations
- Statistics and Probability — 53 citations into it; #10,810 of 12,932 by trust here, #6,552 by citations
- Rheumatology — 39 citations into it
- Epidemiology — 38 citations into it
- Pediatrics, Perinatology and Child Health — 21 citations into it
- Plant Science — 6 citations into it
Whom Gibran Hemani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George Davey Smith
- J. Bowden
- Stephen Burgess
- Brandon L. Pierce
- Shah Ebrahim
- F. Hartwig
- O. Yavors’ka
- Deborah Lawlor
- F. Del Greco M
- Qingyuan Zhao
Who trusts Gibran Hemani overall
- J. Bowden
- George Davey Smith
- E. Sanderson
- Qingyuan Zhao
- Deborah Lawlor
- T. Richardson
- Jie Zheng
- Zhiqiang Pang
- F. Hartwig
- Michael Holmes
Papers from Gibran Hemani's perspective
Ordered by how strongly the researchers Gibran Hemani trusts endorse each paper. Same corpus, a different order for every researcher.
- 10 Years of GWAS Discovery: Biology, Function, and Translation. (American Journal of Human Genetics)
- FINEMAP: efficient variable selection using summary data from genome-wide association studies (bioRxiv)
- Detection and interpretation of shared genetic influences on 42 human traits (Nature Genetics)
- Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (Genetic Epidemiology)
- Mendelian randomization as an instrumental variable approach to causal inference (Statistical Methods in Medical Research)
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies (Human Molecular Genetics)
- On Instrumental Variables Estimation of Causal Odds Ratios
- Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators (American Journal of Epidemiology)
- Power and Predictive Accuracy of Polygenic Risk Scores (PLoS Genetics)
- An expanded view of complex traits: from polygenic to omnigenic (Cell)
Their papers
- Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2018) — 795 citations
- Recent Developments in Mendelian Randomization Studies (2017) — 945 citations
- Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions (2019) — 2,238 citations
- Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis (2018) — 511 citations
- Orienting the causal relationship between imprecisely measured traits using GWAS summary data (2017) — 2,215 citations
- Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression (2021) — 1,862 citations
- The MRC IEU OpenGWAS data infrastructure (2020) — 798 citations
- Collider bias undermines our understanding of COVID-19 disease risk and severity (2020) — 742 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
- Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases (2019) — 633 citations
- Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes (2018) — 707 citations
- Evaluating the potential role of pleiotropy in Mendelian randomization studies (2018) — 1,292 citations
- The MR-Base platform supports systematic causal inference across the human phenome (2018) — 6,483 citations
- Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique (2016) — 737 citations
- LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis (2016) — 890 citations
- Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index (2015) — 781 citations
- Dominance genetic variation contributes little to the missing heritability for human complex traits. (2015) — 200 citations
- Defining the role of common variation in the genomic and biological architecture of adult human height (2014)
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies (2014) — 4,051 citations
- Improved heritability estimation from genome-wide SNPs. (2012) — 765 citations