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Principal components of heritability from neurocognitive domains differ between families with schizophrenia and control subjects.

Howard Wiener | Lambertus Klei | Monica Calkins | Joel Wood | Vishwajit Nimgaonkar | Ruben Gur | L DiAnne Bradford | Jan Richard | Neil Edwards | Robert Savage | Joseph Kwentus | Trina Allen | Joseph McEvoy | Alberto Santos | Raquel Gur | Bernie Devlin | Rodney Go
Schizophrenia bulletin | 2013

Various measures of neurocognitive function show mean differences among individuals with schizophrenia (SZ), their relatives, and population controls. We use eigenvector transformations that maximize heritability of multiple neurocognitive measures, namely principal components of heritability (PCH), and evaluate how they distribute in SZ families and controls.

Pubmed ID: 22234486

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIMH NIH HHS, United States
    Id: MH066005
  • Agency: NIMH NIH HHS, United States
    Id: K08MH79364
  • Agency: NIMH NIH HHS, United States
    Id: MH066006
  • Agency: NIMH NIH HHS, United States
    Id: MH066004
  • Agency: NIMH NIH HHS, United States
    Id: MH066050
  • Agency: NIMH NIH HHS, United States
    Id: MH066181
  • Agency: NIMH NIH HHS, United States
    Id: MH066049
  • Agency: NIMH NIH HHS, United States
    Id: MH066121
  • Agency: NIMH NIH HHS, United States
    Id: MH066278
  • Agency: NIMH NIH HHS, United States
    Id: MH066263
  • Agency: PHS HHS, United States
    Id: HHSN268200782096C

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This is a list of tools and resources that we have found mentioned in this publication.


Center for Inherited Disease Research (tool)

RRID:SCR_007339

Next generation sequencing and genotyping services provided to investigators working to discover genes that contribute to disease. On-site statistical geneticists provide insight into analysis issues as they relate to study design, data production and quality control. In addition, CIDR has a consulting agreement with the University of Washington Genetics Coordinating Center (GCC) to provide statistical and analytical support, most predominantly in the areas of GWAS data cleaning and methods development. Completed studies encompass over 175 phenotypes across 530 projects and 620,000 samples. The impact is evidenced by over 380 peer-reviewed papers published in 100 journals. Three pathways exist to access the CIDR genotyping facility: * NIH CIDR Program: The CIDR contract is funded by 14 NIH Institutes and provides genotyping and statistical genetic services to investigators approved for access through competitive peer review. An application is required for projects supported by the NIH CIDR Program. * The HTS Facility: The High Throughput Sequencing Facility, part of the Johns Hopkins Genetic Resources Core Facility, provides next generation sequencing services to internal JHU investigators and external scientists on a fee-for-service basis. * The JHU SNP Center: The SNP Center, part of the Johns Hopkins Genetic Resources Core Facility, provides genotyping to internal JHU investigators and external scientists on a fee-for-service basis. Data computation service is included to cover the statistical genetics services provided for investigators seeking to identify genes that contribute to human disease. Human Genotyping Services include SNP Genome Wide Association Studies, SNP Linkage Scans, Custom SNP Studies, Cancer Panel, MHC Panels, and Methylation Profiling. Mouse Genotyping Services include SNP Scans and Custom SNP Studies.

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MERLIN (tool)

RRID:SCR_009289

Software application that carries out single-point and multipoint analyses of pedigree data, including IBD and kinship calculations, nonparametric and variance component linkage analyses, error detection and information content mapping. For multipoint analyses in dense maps, Merlin allows the user to impose constraints on the number of recombinants between consecutive markers. Merlin estimates haplotypes by finding the most likely path of gene flow or by sampling paths of gene flow at all markers jointly. It can also list all possible nonrecombinant haplotypes within short regions. Finally, Merlin provides swap-file support for handling very large numbers of markers as well as gene-dropping simulations for estimating empirical significance levels. (entry from Genetic Analysis Software)

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