Jim Stankovich

Dr. Jim Stankovich


Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

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

Representative Publications

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1 March 2008 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
Sam BerkovicSam Berkovic
Sam Berkovic
LDLeanne M Dibbens
Leanne M Dibbens
AOAlicia Oshlack
Alicia Oshlack
JSJeremy Silver
Jeremy Silver
MKMarina Katerelos
Marina Katerelos
MBMelanie Bahlo
Melanie Bahlo

1 June 2013 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
SBSergio Baranzini
Sergio Baranzini
PKPouya Khankhanian
Pouya Khankhanian
NPNikolaos A. Patsopoulos
Nikolaos A. Patsopoulos
MLMichael Li
Michael Li
JSJim Stankovich
Jim Stankovich
JOJorge R. Oksenberg
Jorge R. Oksenberg

1 June 1994 in Journal of Colloid and Interface Science
Verified
Journal Article
Closed access
SCSteven L. Carnie
Steven L. Carnie
DCDerek Y.C. Chan
Derek Y.C. Chan
JSJim Stankovich
Jim Stankovich

1 November 2003 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
KBKathryn P Burdon
Kathryn P Burdon
JMJames D. McKay
James D. McKay
MSMichèle M. Sale
Michèle M. Sale
IRIsabelle M. Russell-Eggitt
Isabelle M. Russell-Eggitt
DMDavid A. Mackey
David A. Mackey
JCJamie E. Craig
Jamie E. Craig

11 October 2012 in Neuroepidemiology
Verified
Journal Article
Closed access
PDF file
COCullen O’gorman
Cullen O’gorman
RLRui Lin
Rui Lin
JSJim Stankovich
Jim Stankovich
SBSimon Broadley
Simon Broadley
A genetic contribution to susceptibility is well established in multiple sclerosis (MS) and 57 associated genetic loci have been identified. We have undertaken a meta-analysis of familial risk studies with the aims of providing definitive figures for risks to relatives, performing a segregation analysis and estimating the proportion of the overall genetic risk that currently identified genes represent. We have used standard methods of meta-analysis combined with novel approaches to age adjustment to provide directly comparable estimates of lifetime risk. The overall recurrence risk for monozygotic twins was 18.2% and for siblings 2.7%. The recurrence risk for dizygotic twins was significantly higher than for siblings. The overall estimate of sibling relative risk (λS) was 16.8. Risks for older relatives (parents, siblings, aunts, uncles and cousins) show a latitudinal gradient, in line with population risk. No latitudinal gradient for λS was seen. Segregation analysis supports a multiplicative model of one locus of moderate effect with many loci of small effect. The estimated contribution of the 57 known MS loci is 18–24% of λS. This meta-analysis supports the notion of MS being in part the result of multiple genetic susceptibility factors and environmental factors.

27 February 2010 in Human Molecular Genetics
Verified
Journal Article
Open access
PDF file
KGKaushal S. Gandhi
Kaushal S. Gandhi
FMFiona McKay
Fiona McKay
MCMathew Cox
Mathew Cox
CRCarlos Riveros
Carlos Riveros
NANicola Armstrong
Nicola Armstrong
MBMelanie Bahlo
Melanie Bahlo
Multiple sclerosis (MS) is an autoimmune disease with a genetic component, caused at least in part by aberrant lymphocyte activity. The whole blood mRNA transcriptome was measured for 99 untreated MS patients: 43 primary progressive MS, 20 secondary progressive MS, 36 relapsing remitting MS and 45 age-matched healthy controls. The ANZgene Multiple Sclerosis Genetics Consortium genotyped more than 300 000 SNPs for 115 of these samples. Transcription from genes on translational regulation, oxidative phosphorylation, immune synapse and antigen presentation pathways was markedly increased in all forms of MS. Expression of genes tagging T cells was also upregulated (P < 10−12) in MS. A T cell gene signature predicts disease state with a concordance index of 0.79 with age and gender as co-variables, but the signature is not associated with clinical course or disability. The ANZgene genome wide association screen identified two novel regions with genome wide significance: one encoding the T cell co-stimulatory molecule, CD40; the other a region on chromosome 12q13-14. The CD40 haplotype associated with increased MS susceptibility has decreased gene expression in MS (P < 0.0007). The second MS susceptibility region includes 17 genes on 12q13-14 in tight linkage disequilibrium. Of these, only 13 are expressed in leukocytes, and of these the expression of one, FAM119B, is much lower in the susceptibility haplotype (P < 10−14). Overall, these data indicate dysregulation of T cells can be detected in the whole blood of untreated MS patients, and supports targeting of activated T cells in therapy for all forms of MS.