Michael Goddard

Dr. Michael Goddard

Faculty of Veterinary and Agricultural Sciences, Agriculture Victoria and University of Melbourne, Melbourne, Australia

Research Focus & Metrics

Academic Career Length

50Years (1977-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2011 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
JYJian Yang
Jian Yang
SLS. Hong Lee
S. Hong Lee
MGMichael Goddard
Michael Goddard
PVPeter M. Visscher
Peter M. Visscher

11 February 2015 in Nature
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Journal Article
Closed access
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ALAdam E Locke
Adam E Locke
BKBratati Kahali
Bratati Kahali
SBSonja I Berndt
Sonja I Berndt
AJAnne E Justice
Anne E Justice
TPTune H Pers
Tune H Pers
ESElizabeth K. Speliotes
Elizabeth K. Speliotes

20 June 2010 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
JYJian Yang
Jian Yang
BBBeben Benyamin
Beben Benyamin
BMBrian P McEvoy
Brian P McEvoy
SGScott Gordon
Scott Gordon
AHAnjali K Henders
Anjali K Henders
PVPeter M Visscher
Peter M Visscher

28 March 2016 in Nature Genetics
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Journal Article
Closed access
PDF file
ZZZhihong Zhu
Zhihong Zhu
FZFutao Zhang
Futao Zhang
HHHan Hu
Han Hu
ABAndrew Bakshi
Andrew Bakshi
MRMatthew R Robinson
Matthew R Robinson
JYJian Yang
Jian Yang

10 October 2010 in Nature Genetics
Verified
Journal Article
Open access
PDF file
ESElizabeth K Speliotes
Elizabeth K Speliotes
MAMagic
Magic
CWCristen J Willer
Cristen J Willer
SBSonja I Berndt
Sonja I Berndt
KMKeri L Monda
Keri L Monda
OCon behalf of Procardis Consortium
on behalf of Procardis Consortium
Ruth Loos and colleagues report results of a large genome-wide association study for body mass index. They identify 18 new loci associated with this trait, some of which map near key hypothalamic regulators of energy balance. Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10−8), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

5 October 2014 in Nature Genetics
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Journal Article
Open access
PDF file
TCThe Electronic Medical Records and Genomics (eMERGE) Consortium
The Electronic Medical Records and Genomics (eMERGE) Consortium
AWAndrew R Wood
Andrew R Wood
TCThe MIGen Consortium
The MIGen Consortium
TCThe PAGE Consortium
The PAGE Consortium
TSThe LifeLines Cohort Study
The LifeLines Cohort Study
TFTimothy M Frayling
Timothy M Frayling
Timothy Frayling, Joel Hirschhorn, Peter Visscher and colleagues report a meta-analysis of genome-wide association studies for adult height in 253,288 individuals. They identify 697 variants in 423 loci significantly associated with adult height and find that these variants cluster in pathways involved in growth and together explain one-fifth of the heritability for this trait. Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate–related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.