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Institution

John P. Hussman Institute for Human Genomics

About: John P. Hussman Institute for Human Genomics is a based out in . It is known for research contribution in the topics: Genome-wide association study & Exome sequencing. The organization has 216 authors who have published 282 publications receiving 9854 citations.


Papers
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Journal ArticleDOI
F. Kyle Satterstrom1, Jack A. Kosmicki1, Jiebiao Wang2, Michael S. Breen3  +150 moreInstitutions (45)
TL;DR: Using an enhanced Bayesian framework to integrate de novo and case-control rare variation, 102 risk genes are identified at a false discovery rate of ≤ 0.1, consistent with multiple paths to an excitatory/inhibitory imbalance underlying ASD.
Abstract: We present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n=35,584 total samples, 11,986 with ASD). Using an enhanced Bayesian framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate ≤ 0.1. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained for severe neurodevelopmental delay, while 53 show higher frequencies in individuals ascertained for ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most of the risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In human cortex single-cell gene expression data, expression of risk genes is enriched in both excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory/inhibitory imbalance underlying ASD.

461 citations

Journal ArticleDOI
TL;DR: Three independent genome‐wide association studies (GWAS) have investigated the genetic susceptibility to PD and implicated several genes as PD risk loci with strong, but not genome-wide significant, associations.
Abstract: Parkinson disease (PD) is a chronic neurodegenerative disorder with a cumulative prevalence of greater than one per thousand. To date three independent genome-wide association studies (GWAS) have investigated the genetic susceptibility to PD. These studies implicated several genes as PD risk loci with strong, but not genome-wide significant, associations. In this study, we combined data from two previously published GWAS of Caucasian subjects with our GWAS of 604 cases and 619 controls for a joint analysis with a combined sample size of 1752 cases and 1745 controls. SNPs in SNCA (rs2736990, p-value = 6.7 x 10(-8); genome-wide adjusted p = 0.0109, odds ratio (OR) = 1.29 [95% CI: 1.17-1.42] G vs. A allele, population attributable risk percent (PAR%) = 12%) and the MAPT region (rs11012, p-value = 5.6 x 10(-8); genome-wide adjusted p = 0.0079, OR = 0.70 [95% CI: 0.62-0.79] T vs. C allele, PAR%= 8%) were genome-wide significant. No other SNPs were genome-wide significant in this analysis. This study confirms that SNCA and the MAPT region are major genes whose common variants are influencing risk of PD.

461 citations

Journal ArticleDOI
TL;DR: In this review, the impacts of WES in medical genetics as well as its consequences leading to improve health care are summarized.
Abstract: Massively parallel DNA-sequencing systems provide sequence of huge numbers of different DNA strands at once. These technologies are revolutionizing our understanding in medical genetics, accelerating health-improvement projects, and ushering to a fully understood personalized medicine in near future. Whole-exome sequencing (WES) is application of the next-generation technology to determine the variations of all coding regions, or exons, of known genes. WES provides coverage of more than 95% of the exons, which contains 85% of disease-causing mutations in Mendelian disorders and many disease-predisposing SNPs throughout the genome. The role of more than 150 genes has been distinguished by means of WES, and this statistics is quickly growing. In this review, the impacts of WES in medical genetics as well as its consequences leading to improve health care are summarized.

438 citations

Journal ArticleDOI
TL;DR: Inflammatory T helper 17 cells in humans are distinguished by selective expression of MDR1 and are enriched in the gut of patients with Crohn’s disease.
Abstract: IL-17A–expressing CD4+ T cells (Th17 cells) are generally regarded as key effectors of autoimmune inflammation. However, not all Th17 cells are pro-inflammatory. Pathogenic Th17 cells that induce autoimmunity in mice are distinguished from nonpathogenic Th17 cells by a unique transcriptional signature, including high Il23r expression, and these cells require Il23r for their inflammatory function. In contrast, defining features of human pro-inflammatory Th17 cells are unknown. We show that pro-inflammatory human Th17 cells are restricted to a subset of CCR6+CXCR3hiCCR4loCCR10−CD161+ cells that transiently express c-Kit and stably express P-glycoprotein (P-gp)/multi-drug resistance type 1 (MDR1). In contrast to MDR1− Th1 or Th17 cells, MDR1+ Th17 cells produce both Th17 (IL-17A, IL-17F, and IL-22) and Th1 (IFN-γ) cytokines upon TCR stimulation and do not express IL-10 or other anti-inflammatory molecules. These cells also display a transcriptional signature akin to pathogenic mouse Th17 cells and show heightened functional responses to IL-23 stimulation. In vivo, MDR1+ Th17 cells are enriched and activated in the gut of Crohn’s disease patients. Furthermore, MDR1+ Th17 cells are refractory to several glucocorticoids used to treat clinical autoimmune disease. Thus, MDR1+ Th17 cells may be important mediators of chronic inflammation, particularly in clinical settings of steroid resistant inflammatory disease.

379 citations

Journal ArticleDOI
24 Apr 2013-Neuron
TL;DR: In independent data sets, rs9877502 showed a strong association with risk for AD, tangle pathology, and global cognitive decline, illustrating how this endophenotype-based approach can be used to identify new AD risk loci.

340 citations


Authors

Showing all 216 results

NameH-indexPapersCitations
Ronald C. Petersen1781091153067
David A. Bennett1671142109844
Margaret A. Pericak-Vance149826118672
Ralph L. Sacco138829131687
Joshua M. Hare10349241596
Jonathan L. Haines10046340225
Richard W Morris9151935165
Jeffery M. Vance8630726587
Elizabeth Head8230424670
Eden R. Martin7428725629
Maria T. Abreu7432319220
Pascal J. Goldschmidt-Clermont7225218454
Guillaume Paré7033232822
Jonathan D. Glass6715217530
John R. Gilbert6718122772
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202128
202027
201936
201820
201724
201626