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Biology and Biochemistry

D-Index
85
Citations
55083
World Ranking
3053
National Ranking
229

Overview

Gibran Hemani is affiliated with the University of Bristol in the United Kingdom. Their research primarily spans the fields of Biochemistry, Genetics, and Molecular Biology, with significant contributions in Medicine. Over their career, they have published extensively across several subfields, including Genetics, Molecular Biology, Epidemiology, Pediatrics, Perinatology and Child Health, and Infectious Diseases.

Their work covers a range of topics such as Genetic Associations and Epidemiology, Epigenetics and DNA Methylation, Genetic Mapping and Diversity in Plants and Animals, Genetic and Phenotypic Traits in Livestock, Bioinformatics and Genomic Networks, Birth, Development, and Health, as well as COVID-19 Epidemiological Studies.

Gibran Hemani has published numerous papers in prominent scientific venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • PLoS Genetics
  • International Journal of Epidemiology
  • Wellcome Open Research

Some of their recent papers are:

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression (2021, Nature Genetics)
  • The MRC IEU OpenGWAS data infrastructure (2020, bioRxiv - Cold Spring Harbor Laboratory)
  • Collider bias undermines our understanding of COVID-19 disease risk and severity (2020, Nature Communications)
  • Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2020, The Annals of Statistics)
  • Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases (2020, Nature Genetics)

Their frequent co-authors include:

  • George Davey Smith
  • Tom R. Gaunt
  • Caroline L. Relton
  • Dorret I. Boomsma
  • Jenny van Dongen

Best Publications

  • 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

  • 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

  • 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

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

    Urmo Võsa;Annique Claringbould;Annique Claringbould;Harm-Jan Westra;Marc Jan Bonder

  • Orienting the causal relationship between imprecisely measured traits using GWAS summary data.

    Gibran Hemani;Kate Tilling;George Davey Smith

  • 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

  • Evaluating the potential role of pleiotropy in Mendelian randomization studies.

    Gibran Hemani;Jack Bowden;George Davey Smith

  • Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

    Qingyuan Zhao;Jingshu Wang;Gibran Hemani;Jack Bowden

  • 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

  • Recent Developments in Mendelian Randomization Studies

    Jie Zheng;Denis Baird;Maria-Carolina Borges;Jack Bowden

  • Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

    Richard Karlsson Linnér;Richard Karlsson Linnér;Pietro Biroli;Edward Kong;S. Fleur W. Meddens;S. Fleur W. Meddens

  • Improved Heritability Estimation from Genome-wide SNPs

    Doug Speed;Gibran Hemani;Michael R. Johnson;David J. Balding

  • Collider bias undermines our understanding of COVID-19 disease risk and severity

    Gareth J. Griffith;Tim T. Morris;Matthew J. Tudball;Annie Herbert

  • The MRC IEU OpenGWAS data infrastructure

    Ben Elsworth;Matthew Lyon;Matthew Lyon;Tessa Alexander;Yi Liu

  • Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique.

    Fernando Pires Hartwig;Neil Martin Davies;Gibran Hemani;George Davey Smith

  • Systematic identification of genetic influences on methylation across the human life course

    Tom R. Gaunt;Hashem A. Shihab;Gibran Hemani;Josine L. Min

  • Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.

    Jie Zheng;Valeriia Haberland;Denis A Baird;Venexia M Walker

  • Collider bias undermines our understanding of COVID-19 disease risk and severity

    Gareth J Griffith;Tim T Morris;Matt Tudball;Annie Herbert

  • Mendelianrandomization:geneticanchorsforcausal inference in epidemiological studies

    George Davey Smith;Gibran Hemani

Frequent Co-Authors

George Davey Smith
George Davey Smith University of Bristol
Caroline L. Relton
Caroline L. Relton University of Bristol
David Evans
David Evans University of Bristol
Peter M. Visscher
Peter M. Visscher University of Oxford
Grant W. Montgomery
Grant W. Montgomery University of Queensland
Tonu Esko
Tonu Esko University of Tartu
Nicholas G. Martin
Nicholas G. Martin QIMR Berghofer Medical Research Institute
Jian Yang
Jian Yang University of Birmingham
Nicholas J. Timpson
Nicholas J. Timpson University of Bristol
Dorret I. Boomsma
Dorret I. Boomsma Vrije Universiteit Amsterdam

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