New Reviews and Commentaries

2 November 2005

Population-based family studies in genetic epidemiology. Hopper JL, Bishop DT and Easton DF (2005) Lancet 366, 1397-1406. Sixth in a series of summary pieces on aspects of genetic epidemiology.

Genetic epidemiology and public health: hope, hype and future prospects. Davey Smith G et al. (2005) Lancet 366, 1484-1498. Seventh and final article in a series of summary pieces on aspects of genetic epidemiology.

Molecular genetics goes to the diabetes clinic. Hattersley AT (2005) Clinical Medicine 5, 476-481. Lecture-based article on the use of molecular genetic testing for diabetes diagnosis.

Genetic predisposition to cancer. Turnbull C and Hodgson S (2005) Clinical Medicine 5, 491-498. General review, focusing on breast and colorectal cancers.

MicroRNAs as oncogenes and tumor suppressors. Chen C-Z (2005) N Engl J Med 353, 1768-1770. Perspective article on microRNAs, a class of small RNAs involved in the regulation of gene expression, and how they have been implicated in cancer.

The distinctive nature of HER2-positive breast cancers. Burstein HJ (2005) N Engl J Med 353, 1652-1654. Perspectives article on HER2 and the use of trastuzumab in breast cancer treatment, including the potential to discriminate between classes of breast cancer via genomic profiling.

On genes, speech and language. Fisher SE (2005) N Engl J Med 353, 1655-1657. Perspectives article on genetic influences on the normal development of speech and language.

There are several commentaries on human genome information following the recent publication of new data from the International HapMap Project, including:

Patchwork people. Check E (2005) Nature 437, 1087-1086. News feature.

Deeper into the genome. Gibbs R (2005) nature 431, 1233-1234. Commentary proposing that a large-scale human genome project should follow the HapMap initiative, to catalogue the rarer genetic variants that affect health.

Understanding human diversity. Goldstein DB and Cavalleri GL (2005) Nature 437, 1241-1242. News and views piece on how data from the HapMap project can be used to advance understanding of how genetic variation influences health.

Genomic cartography

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