Giriraj Ratan Chandak

Dr. Giriraj Ratan Chandak

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Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

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

Representative Publications

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9 December 2021 in Nature
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SGSarah E. Graham
Sarah E. Graham
SCShoa L. Clarke
Shoa L. Clarke
KWKuan-Han H. Wu
Kuan-Han H. Wu
Stavroula KanoniStavroula Kanoni
Stavroula Kanoni
GZGreg J. M. Zajac
Greg J. M. Zajac
CWCristen J. Willer
Cristen J. Willer

11 July 2016 in Nature
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CFChristian Fuchsberger
Christian Fuchsberger
JFJason Flannick
Jason Flannick
TTTanya M. Teslovich
Tanya M. Teslovich
AMAnubha Mahajan
Anubha Mahajan
VAVineeta Agarwala
Vineeta Agarwala
MMMark I. McCarthy
Mark I. McCarthy
The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

1 May 2009 in The Lancet
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PGPeter D Gluckman
Peter D Gluckman
MHMark A Hanson
Mark A Hanson
PBPatrick Bateson
Patrick Bateson
ABAlan S Beedle
Alan S Beedle
CLCatherine M Law
Catherine M Law
MWMary Jane West-Eberhard
Mary Jane West-Eberhard

18 August 2013 in Nature Genetics
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HWHeiko Witt
Heiko Witt
SBSebastian Beer
Sebastian Beer
JRJonas Rosendahl
Jonas Rosendahl
Jian-Min ChenJian-Min Chen
Jian-Min Chen
GCGiriraj Ratan Chandak
Giriraj Ratan Chandak
MSMiklos Sahin-Toth
Miklos Sahin-Toth

9 November 2006 in Diabetologia
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GCGiriraj Ratan Chandak
Giriraj Ratan Chandak
CJC. S. Janipalli
C. S. Janipalli
SBS. Bhaskar
S. Bhaskar
SKS. R. Kulkarni
S. R. Kulkarni
PMP. Mohankrishna
P. Mohankrishna
CYC. S. Yajnik
C. S. Yajnik

23 November 2011 in Diabetologia
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HLH. Li
H. Li
TKT. O. Kilpeläinen
T. O. Kilpeläinen
CLC. Liu
C. Liu
JZJ. Zhu
J. Zhu
YLY. Liu
Y. Liu
RLR. J. F. Loos
R. J. F. Loos
Aims/hypothesis FTO harbours the strongest known obesity-susceptibility locus in Europeans. While there is growing evidence for a role for FTO in obesity risk in Asians, its association with type 2 diabetes, independently of BMI, remains inconsistent. To test whether there is an association of the FTO locus with obesity and type 2 diabetes, we conducted a meta-analysis of 32 populations including 96,551 East and South Asians. Methods All studies published on the association between FTO-rs9939609 (or proxy [r 2 > 0.98]) and BMI, obesity or type 2 diabetes in East or South Asians were invited. Each study group analysed their data according to a standardised analysis plan. Association with type 2 diabetes was also adjusted for BMI. Random-effects meta-analyses were performed to pool all effect sizes. Results The FTO-rs9939609 minor allele increased risk of obesity by 1.25-fold/allele (p = 9.0 × 10−19), overweight by 1.13-fold/allele (p = 1.0 × 10−11) and type 2 diabetes by 1.15-fold/allele (p = 5.5 × 10−8). The association with type 2 diabetes was attenuated after adjustment for BMI (OR 1.10-fold/allele, p = 6.6 × 10−5). The FTO-rs9939609 minor allele increased BMI by 0.26 kg/m2 per allele (p = 2.8 × 10−17), WHR by 0.003/allele (p = 1.2 × 10−6), and body fat percentage by 0.31%/allele (p = 0.0005). Associations were similar using dominant models. While the minor allele is less common in East Asians (12–20%) than South Asians (30–33%), the effect of FTO variation on obesity-related traits and type 2 diabetes was similar in the two populations. Conclusions/interpretation FTO is associated with increased risk of obesity and type 2 diabetes, with effect sizes similar in East and South Asians and similar to those observed in Europeans. Furthermore, FTO is also associated with type 2 diabetes independently of BMI.