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In Print: Last Week's Microarray Papers of Note: Aug 6, 2013

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Sex chromosome-wide association analysis suggested male-specific risk genes for alcohol dependence.
Psychiatr Genet. 2013 Jul 31. [Epub ahead of print]
Zuo L, et al.

The authors scanned the entire Y chromosome and its homologs on the X chromosome in men to identify male-specific risk genes for alcohol dependence. They genotyped 2,927 European-American men using the Illumina Human 1M-Duo BeadChip, and identified two SNPs on the X chromosome that were associated significantly with alcohol dependence in European-American men but not in women.


Angelman syndrome in Denmark. Birth incidence, genetic findings, and age at diagnosis.
Am J Med Genet A. 2013 Aug 2.
Mertz L, et al.

Angelman syndrome is a neurogenetic disorder caused by loss of expression of the maternal imprinted gene UBE3A on chromosome 15q11.2-q13. The authors of this study aimed to examine the birth incidence of AS in Denmark and to characterize the size of the 15q11.2-q13 deletions using array CGH. In addition, they analyzed genotype differences in regard to age at diagnosis and investigated the occurrence of deletions and duplications outside the 15q11.2-q13 regions.


Incidence and risk factors of anti-HLA immunization after pregnancy.
Hum Immunol. 2013 Aug;74(8):946-51.
Masson E, et al.

The authors used Luminex technology to study on women at delivery in order to evaluate anti-human leukocyte antigen immunization. They also attempted to isolate factors influencing immunization, such as soluble HLA-G levels and genetic polymorphisms.

The Scan

Study Links Genetic Risk for ADHD With Alzheimer's Disease

A higher polygenic risk score for attention-deficit/hyperactivity disorder is also linked to cognitive decline and Alzheimer's disease, a new study in Molecular Psychiatry finds.

Study Offers Insights Into Role of Structural Variants in Cancer

A new study in Nature using cell lines shows that structural variants can enable oncogene activation.

Computer Model Uses Genetics, Health Data to Predict Mental Disorders

A new model in JAMA Psychiatry finds combining genetic and health record data can predict a mental disorder diagnosis before one is made clinically.

Study Tracks Off-Target Gene Edits Linked to Epigenetic Features

Using machine learning, researchers characterize in BMC Genomics the potential off-target effects of 19 computed or experimentally determined epigenetic features during CRISPR-Cas9 editing.