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Posts Tagged ‘schizophrenia’

Genetic risk factor for schizophrenia regulates brain function in healthy people

Posted in Frontal cortex, NRG1, tagged , , on June 5, 2008 | Leave a Comment »

Image via Wikipedia Nowadays, as many folks peer into the vast tangled thicket of their own genetic code, they, as I, assuredly wonder what it all means and how best to ascertain their health risks. One core theme that emerges from repeated forays into one’s own data is that many of us carry a scads [...]

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rs1344706 gives tenuous clue to cerebellar involvement in schizophrenia

Posted in ATXN1, Cerebellum, ZNF804A, tagged , on May 7, 2008 | Leave a Comment »

Image via Wikipedia The recent SNP association report, “Identification of loci associated with schizophrenia by genomewide association and follow-up“ (doi:10.1038/ng.201) by O’Donovan et. al, – an analysis of more than 370,000 Affymetrix SNPs on a population of 479 affected individuals – finds strong evidence for c in the zinc finger protein 804A (ZNF804A). One clue [...]

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Copy number variation carries the day – and the risk of mental illness

Posted in Chromosome structural variants, tagged , , on May 5, 2008 | Leave a Comment »

Image by Colin Purrington via Flickr A pair of Nature papers (PubMedIDs: 18668039, 18668038) find that mapping the risk of schizophrenia to the genome is more readily achieved when examining structural variation (insertions, deletions, duplications etc.). This is welcome news given the sparse success of SNP screening, although it would be reasonable to assume that [...]

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Genome-wide assesment of structural variation yields clues to development of schizophrenia

Posted in Chromosome structural variants, tagged , on March 28, 2008 | Leave a Comment »

Image via Wikipedia Amidst all the genome-wide ‘snp-ing’ going on of late (my 23-and-me data should arrive in a couple of weeks), Walsh and colleagues provide an incredible trove of structural variation (deletions/insertions in the size range of more than 100kbp but less than 100Mbp) that is 3- to 4-fold enriched in patients with adult [...]

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I carry genetic risk for mental illness

Posted in DTNBP1, tagged , , , , on December 21, 2007 | Leave a Comment »

Image by dbking via Flickr Amidst the excitement of new personalized genome services, the Economist reports on fraudsters found peddling ‘personalized supplements’ based on bogus genetic testing results. This is an extreme, tragicomic example to be sure, but highlights some of the issues that can arise when confronting one’s genetic blueprint. A recent paper by [...]

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Carving the cognitive turkey at the genetic joints

Posted in Uncategorized, tagged , , , on December 11, 2007 | Leave a Comment »

Image by Salim Virji via Flickr It has long been known that complex neuropsychiatric and neurodevelopmental illnesses have familial patterns of inheritance and that concordance in identical twins is greater than in fraternal twins. The genetic influences of mental illness – whilst apparent – do not, however, provide clues about which genes, of the 20,000 [...]

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Localizing anatomical sources of genetic risk in schizophrenia

Posted in Cingulate cortex, DLPFC, Frontal cortex, Hippocampus, tagged , , , , on July 28, 2007 | Leave a Comment »

Daniel Weinberger and company have a new installment in-press at Biological Psychiatry in their epic program to untangle the genetic basis of schizophrenia – “Heritability of Brain Morphology Related to Schizophrenia: A Large-Scale Automated Magnetic Resonance Imaging Segmentation Study.” Like all complex illness, schizophrenia is regulated by a variety of environmental sources (perinatal complications, stress [...]

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Xeno-phenocopy or true mouse model ?

Posted in DISC1, Frontal cortex, tagged , , , , on May 8, 2007 | Leave a Comment »

The DISC1 mouse is a major step forward in a translational research path towards understanding how genes contribute to the risk of complex mental disorders such as schizophrenia. The latest mouse (see PNAS – Dominant-negative DISC1 transgenic mice display schizophrenia-associated phenotypes detected by measures translatable to humans by Hikida et al.) attempts to replace the [...]

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