World's Best Scientists 2026 revealed!
Michael E. Goddard

Michael E. Goddard

Award Badge
Animal Science and Veterinary
Australia
2026
Award Badge
Genetics
Australia
2026

D-Index & Metrics

Animal Science and Veterinary

D-Index
129
Citations
101472
World Ranking
3
National Ranking
1

Genetics

D-Index
131
Citations
106522
World Ranking
245
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Animal Science and Veterinary in Australia Leader Award
  • 2026 - Research.com Genetics in Australia Leader Award
  • 2025 - Research.com Genetics in Australia Leader Award
  • 2024 - Research.com Genetics in Australia Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in Australia Leader Award
  • 2023 - Research.com Genetics in Australia Leader Award
  • 2023 - Research.com Genetics and Molecular Biology in Australia Leader Award
  • 2022 - Research.com Genetics and Molecular Biology in Australia Leader Award
  • 2015 - Fellow of the Royal Society, United Kingdom

Overview

Michael E. Goddard is a researcher affiliated with the University of Melbourne in Australia. Their body of work is situated primarily within the broad field of Biochemistry, Genetics, and Molecular Biology, with a focus on several specialized subfields including Genetics, Molecular Biology, Agronomy and Crop Science, Cancer Research, and Plant Science.

The scientist's main topics of research cover a diverse range of areas related to genetics and biology. These include:

  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic Associations and Epidemiology
  • Cancer-related molecular mechanisms research
  • Reproductive Physiology in Livestock
  • Genetics and Plant Breeding
  • Effects of Environmental Stressors on Livestock

Michael E. Goddard has co-authored numerous publications with several frequent collaborators. The most common co-authors include Amanda J. Chamberlain, Peter M. Visscher, Ruidong Xiang, Iona M. MacLeod, and Naomi R. Wray.

Their publication record spans a variety of scientific journals and venues, with recurring contributions to outlets such as bioRxiv (Cold Spring Harbor Laboratory), Genetics Selection Evolution, Journal of Dairy Science, Nature Communications, and Nature Genetics.

Among their recent papers are:

  • Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations, 2021, Nature Communications
  • Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals, 2021, The American Journal of Human Genetics
  • Widespread signatures of natural selection across human complex traits and functional genomic categories, 2021, Nature Communications
  • Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries, 2024, Nature Genetics
  • Assortative mating biases marker-based heritability estimators, 2022, Nature Communications

In addition to journal articles, Michael E. Goddard has contributed to book publications with Berghahn Books, producing works such as "Substantial Justice" and "Out of Place," both published in 2022.

The scientist has been recognized by professional societies, notably receiving the distinction of Fellow of the Royal Society, United Kingdom, in 2015.

Best Publications

  • GCTA: a tool for genome-wide complex trait analysis.

    Jian Yang;S. Hong Lee;Michael E. Goddard;Peter M. Visscher

  • Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

    T. H. E. Meuwissen;B. J. Hayes;M. E. Goddard

  • Genetic studies of body mass index yield new insights for obesity biology

    Unknown

  • Common SNPs explain a large proportion of the heritability for human height

    Jian Yang;Beben Benyamin;Brian P. McEvoy;Scott Gordon

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda

  • Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

    Zhihong Zhu;Futao Zhang;Han Hu;Andrew Bakshi

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt

  • 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

  • Invited review: Genomic selection in dairy cattle: progress and challenges.

    B.J. Hayes;P.J. Bowman;A.J. Chamberlain;M.E. Goddard

  • Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits

    Jian Yang;Teresa Ferreira;Andrew P Morris;Sarah E Medland

  • Genetic studies of body mass index yield new insights for obesity biology

    Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Genomic selection: prediction of accuracy and maximisation of long term response

    Mike Goddard

  • Mapping genes for complex traits in domestic animals and their use in breeding programmes

    Michael. Goddard;Ben John. Hayes

  • Estimating Missing Heritability for Disease from Genome-wide Association Studies

    Sang Hong Lee;Naomi R. Wray;Michael E. Goddard;Peter M. Visscher

  • Data and theory point to mainly additive genetic variance for complex traits.

    William (Bill) Wg Hill;Michael E. Goddard;Peter M. Visscher

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    E. K. Speliotes;C. J. Willer;S. I. Berndt;K. L. Monda

  • Advantages and pitfalls in the application of mixed-model association methods

    Jian Yang;Noah A Zaitlen;Michael E Goddard;Peter M Visscher;Peter M Visscher

  • Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    Iris M. Heid;Anne U. Jackson;Joshua C. Randall;Tthomas W. Winkler

  • Invited review: Genomic selection in dairy cattle: progress and challenges (vol 92, pg 433, 2009)

    BJ Hayes;PJ Bowman;AJ Chamberlain;ME Goddard

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    H. Lango Allen;K. Estrada;G. Lettre;S. I. Berndt

Frequent Co-Authors

Ben J. Hayes
Ben J. Hayes University of Queensland
Peter M. Visscher
Peter M. Visscher University of Oxford
Jian Yang
Jian Yang University of Birmingham
Naomi R. Wray
Naomi R. Wray University of Queensland
Amanda J. Chamberlain
Amanda J. Chamberlain La Trobe University
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Iona M. MacLeod
Iona M. MacLeod La Trobe University
Hans D. Daetwyler
Hans D. Daetwyler Bayer Pharmaceuticals
Joel N. Hirschhorn
Joel N. Hirschhorn Boston Children's Hospital
M. Haile-Mariam
M. Haile-Mariam Swedish University of Agricultural Sciences

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