2023 - Research.com Rising Star of Science Award
2022 - Research.com Rising Star of Science Award
His multidisciplinary approach integrates Quantitative trait locus and Expression quantitative trait loci in his work. Gibran Hemani performs multidisciplinary study in Expression quantitative trait loci and Quantitative trait locus in his work. Genetics and Computational biology are two areas of study in which he engages in interdisciplinary work. Gibran Hemani integrates Computational biology with Genetics in his research. His multidisciplinary approach integrates Gene and Evolutionary biology in his work. With his scientific publications, his incorporates both Evolutionary biology and Genetic architecture. He carries out multidisciplinary research, doing studies in Genetic architecture and Phenotype. In his works, Gibran Hemani performs multidisciplinary study on Phenotype and Genotype. He integrates many fields, such as Genotype and Locus (genetics), in his works.
Within one scientific family, Gibran Hemani focuses on topics pertaining to Population under Demography, and may sometimes address concerns connected to Environmental health. His study ties his expertise on Population together with the subject of Environmental health. Gene and Phenome are commonly linked in his work. He connects Phenome with Genotype in his study. His studies link SNP with Genotype. Much of his study explores SNP relationship to Gene. His Genetics study frequently links to related topics such as Monozygotic twin. His work in Monozygotic twin is not limited to one particular discipline; it also encompasses Genetics. His research combines Association test and Single-nucleotide polymorphism.
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Defining the role of common variation in the genomic and biological architecture of adult human height
Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)
The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani;Jie Zheng;Benjamin Elsworth;Kaitlin H Wade.
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
George Davey Smith;Gibran Hemani.
Human Molecular Genetics (2014)
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
Jie Zheng;Mesut A. Erzurumluoglu;Benjamin L. Elsworth;John P. Kemp.
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
David M. Howard;Mark J. Adams;Toni Kim Clarke;Jonathan D. Hafferty.
Nature Neuroscience (2019)
Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.
Jian Yang;Andrew Bakshi;Zhihong Zhu;Gibran Hemani;Gibran Hemani.
Nature Genetics (2015)
Improved Heritability Estimation from Genome-wide SNPs
Doug Speed;Gibran Hemani;Michael R. Johnson;David J. Balding.
American Journal of Human Genetics (2012)
Systematic identification of genetic influences on methylation across the human life course
Tom R. Gaunt;Hashem A. Shihab;Gibran Hemani;Josine L. Min.
Genome Biology (2016)
Orienting the causal relationship between imprecisely measured traits using GWAS summary data.
Gibran Hemani;Kate Tilling;George Davey Smith.
PLOS Genetics (2017)
Collider bias undermines our understanding of COVID-19 disease risk and severity
Gareth J. Griffith;Tim T. Morris;Matthew J. Tudball;Annie Herbert.
Nature Communications (2020)
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