Nathan Pankratz

Dr. Nathan Pankratz


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 September 2014 in Nature Genetics
Verified
Journal Article
Open access
PDF file
MNMike A Nalls
Mike A Nalls
NPNathan Pankratz
Nathan Pankratz
CLChristina M. Lill
Christina M. Lill
CDChuong B Do
Chuong B Do
DHDena G Hernandez
Dena G Hernandez
GDGene P D
Gene P D
Andrew Singleton and colleagues report a large-scale meta-analysis of genome-wide association data in Parkinson's disease using over 13,000 cases and 95,000 controls plus additional samples for replication. They identify 6 new risk loci and replicate 28 independent risk variants for Parkinson's disease across 24 loci. We conducted a meta-analysis of Parkinson's disease genome-wide association studies using a common set of 7,893,274 variants across 13,708 cases and 95,282 controls. Twenty-six loci were identified as having genome-wide significant association; these and 6 additional previously reported loci were then tested in an independent set of 5,353 cases and 5,551 controls. Of the 32 tested SNPs, 24 replicated, including 6 newly identified loci. Conditional analyses within loci showed that four loci, including GBA, GAK-DGKQ, SNCA and the HLA region, contain a secondary independent risk variant. In total, we identified and replicated 28 independent risk variants for Parkinson's disease across 24 loci. Although the effect of each individual locus was small, risk profile analysis showed substantial cumulative risk in a comparison of the highest and lowest quintiles of genetic risk (odds ratio (OR) = 3.31, 95% confidence interval (CI) = 2.55–4.30; P = 2 × 10−16). We also show six risk loci associated with proximal gene expression or DNA methylation.

15 March 2012 in PLOS Genetics
Verified
Journal Article
Open access
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CLChristina M. Lill
Christina M. Lill
JRJohannes T. Roehr
Johannes T. Roehr
MMMatthew B. McQueen
Matthew B. McQueen
FKFotini K. Kavvoura
Fotini K. Kavvoura
SBSachin Bagade
Sachin Bagade
LBLars Bertram
Lars Bertram
More than 800 published genetic association studies have implicated dozens of potential risk loci in Parkinson's disease (PD). To facilitate the interpretation of these findings, we have created a dedicated online resource, PDGene, that comprehensively collects and meta-analyzes all published studies in the field. A systematic literature screen of ∼27,000 articles yielded 828 eligible articles from which relevant data were extracted. In addition, individual-level data from three publicly available genome-wide association studies (GWAS) were obtained and subjected to genotype imputation and analysis. Overall, we performed meta-analyses on more than seven million polymorphisms originating either from GWAS datasets and/or from smaller scale PD association studies. Meta-analyses on 147 SNPs were supplemented by unpublished GWAS data from up to 16,452 PD cases and 48,810 controls. Eleven loci showed genome-wide significant (P<5×10−8) association with disease risk: BST1, CCDC62/HIP1R, DGKQ/GAK, GBA, LRRK2, MAPT, MCCC1/LAMP3, PARK16, SNCA, STK39, and SYT11/RAB25. In addition, we identified novel evidence for genome-wide significant association with a polymorphism in ITGA8 (rs7077361, OR 0.88, P = 1.3×10−8). All meta-analysis results are freely available on a dedicated online database (www.pdgene.org), which is cross-linked with a customized track on the UCSC Genome Browser. Our study provides an exhaustive and up-to-date summary of the status of PD genetics research that can be readily scaled to include the results of future large-scale genetics projects, including next-generation sequencing studies. The genetic basis of Parkinson's disease is complex, i.e. it is determined by a number of different disease-causing and disease-predisposing genes. Especially the latter have proven difficult to find, evidenced by more than 800 published genetic association studies, typically showing discrepant results. To facilitate the interpretation of this large and continuously increasing body of data, we have created a freely available online database (“PDGene”: http://www.pdgene.org) which provides an exhaustive account of all published genetic association studies in PD. One particularly useful feature is the calculation and display of up-to-date summary statistics of published data for overlapping DNA sequence variants (polymorphisms). These meta-analyses revealed eleven gene loci that showed a statistically very significant (P<5×10−8; a.k.a. genome-wide significance) association with risk for PD: BST1, CCDC62/HIP1R, DGKQ/GAK, GBA, LRRK2, MAPT, MCCC1/LAMP3, PARK16, SNCA, STK39, SYT11/RAB25. In addition and purely by data-mining, we identified one novel PD susceptibility locus in a gene called ITGA8 (rs7077361, P = 1.3×10−8). We note that our continuously updated database represents the most comprehensive research synopsis of genetic association studies in PD to date. In addition to vastly facilitating the work of other PD geneticists, our approach may serve as a valuable example for other complex diseases.

1 June 2013 in JAMA Neurology
Verified
Journal Article
Closed access
MNMichael A. Nalls
Michael A. Nalls
Raquel DuranRaquel Duran
Raquel Duran
GLGrisel Lopez
Grisel Lopez
MKMarzena Kurzawa-Akanbi
Marzena Kurzawa-Akanbi
IMIan G. McKeith
Ian G. McKeith
Ellen SidranskyEllen Sidransky
Ellen Sidransky
While mutations in glucocerebrosidase (GBA1) are associated with an increased risk for Parkinson disease (PD), it is important to establish whether such mutations are also a common risk factor for other Lewy body disorders. To establish whether GBA1 mutations are a risk factor for dementia with Lewy bodies (DLB). DESIGN We compared genotype data on patients and controls from 11 centers. Data concerning demographics, age at onset, disease duration, and clinical and pathological features were collected when available. We conducted pooled analyses using logistic regression to investigate GBA1 mutation carrier status as predicting DLB or PD with dementia status, using common control subjects as a reference group. Random-effects meta-analyses were conducted to account for additional heterogeneity. Eleven centers from sites around the world performing genotyping. Seven hundred twenty-one cases met diagnostic criteria for DLB and 151 had PD with dementia. We compared these cases with 1962 controls from the same centers matched for age, sex, and ethnicity. Frequency of GBA1 mutations in cases and controls. RESULTS We found a significant association between GBA1 mutation carrier status and DLB, with an odds ratio of 8.28 (95% CI, 4.78-14.88). The odds ratio for PD with dementia was 6.48 (95% CI, 2.53-15.37). The mean age at diagnosis of DLB was earlier in GBA1 mutation carriers than in noncarriers (63.5 vs 68.9 years; P < .001), with higher disease severity scores. Mutations in GBA1 are a significant risk factor for DLB. GBA1 mutations likely play an even larger role in the genetic etiology of DLB than in PD, providing insight into the role of glucocerebrosidase in Lewy body disease.

10 January 2018 in Science Translational Medicine
Verified
Journal Article
Closed access
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KHKen Y. Hui
Ken Y. Hui
HFHeriberto Fernandez-Hernandez
Heriberto Fernandez-Hernandez
JHJianzhong Hu
Jianzhong Hu
ASAdam Schaffner
Adam Schaffner
NPNathan Pankratz
Nathan Pankratz
IPInga Peter
Inga Peter
Crohn’s disease (CD)–associated variants in the LRRK2 gene for risk (N2081D) and for protection (N551K) mediate shared effects in CD and Parkinson’s disease.

6 November 2008 in Human Genetics
Verified
Journal Article
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NPNathan Pankratz
Nathan Pankratz
JWJemma B. Wilk
Jemma B. Wilk
JLJeanne C. Latourelle
Jeanne C. Latourelle
ADAnita L. DeStefano
Anita L. DeStefano
CHCheryl Halter
Cheryl Halter
RMRichard H. Myers
Richard H. Myers

1 November 2010 in NeuroImage
Verified
Journal Article
Closed access
Li ShenLi Shen
Li Shen
SKSungeun Kim
Sungeun Kim
SRShannon L. Risacher
Shannon L. Risacher
KNKwangsik Nho
Kwangsik Nho
SSShanker Swaminathan
Shanker Swaminathan
ASAndrew J Saykin
Andrew J Saykin