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The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

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Initial sequencing and analysis of the human genome.

Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

Reactive oxygen species and antioxidant machinery in abiotic stress tolerance in crop plants

Antioxidants and Cancer: Fact and Fiction

Aim: To present results from a nested association study of the complement factor H (CFH) gene region using a novel methodology that uses a high-resolution genetic linkage disequilibrium map to estimate a point location for a causal mutation. Method: Age-related macular degeneration (AMD) case–control data from a genomewide single-nucleotide polymorphism (SNP) panel were used to identify the target interval to be genotyped at higher density in a second independent panel. The pattern of linkage disequilibrium (LD) and segmental duplications across this region are described in detail. Result: Data were consistent with other studies in that strong association between the Y402H variant and AMD is observed. However, composite likelihood analysis, which combines association data from all SNPs in the region, and uses genetic locations on a high-resolution LD map, gave a point location for a causal variant between exons 1 and 2 of the CFH gene. Conclusion: The findings are consistent with evidence that, in addition to the widely described Y402H variant, there is at least one and, most probably, several other mutations in the CFH gene which determine disease manifestation in AMD. A genetic model in which multiple mutations contribute to a varying degree to disease aetiology has been previously well described in ophthalmic genetics, and is typified by the COL2A1 and ABCA4 genes.

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Fine scale Linkage Disequilibrium mapping of Age Related Macular Degeneration in the Complement Factor H gene region

Ambitious programs have recently been advocated or launched to create genomewide databases for meta-analysis of association between DNA markers and phenotypes of medical and/or social concern. A necessary but not sufficient condition for success in association mapping is that the data give accurate estimates of both genomic location and its standard error, which are provided for multifactorial phenotypes by composite likelihood. That class includes the Malecot model, which we here apply with an illustrative example. This preliminary analysis leads to five inferences: permutation of cases and controls provides a test of association free of autocorrelation; two hypotheses give similar estimates, but one is consistently more accurate; estimation of the false-discovery rate is extended to causal genes in a small proportion of regions; the minimal data for successful meta-analysis are inferred; and power is robust for all genomic factors except minor-allele frequency. An extension to meta-analysis is proposed. Other approaches to genome scanning and meta-analysis should, if possible, be similarly extended so that their operating characteristics can be compared.

Genome scanning by composite likelihood.

The comet assay (single-cell gel electrophoresis) is a simple method for measuring DNA strand breaks in cells that are embedded in agarose and lysed to remove membranes and soluble cell constituents (including most histones). The assay depends on the ability of breaks to relax supercoiling, which allows DNA still attached to a nuclear matrix to move toward the anode under electrophoresis, forming a ‘comet tail’ when viewed by fluorescence microscopy. The percentage of DNA in the tail indicates the frequency of DNA breaks. An additional step — digestion with lesion-specific endonucleases — is introduced after lysis in order to detect different kinds of DNA damage. The assay can be calibrated to give quantitative measures of DNA damage. It has been widely used in genotoxicity testing and human biomonitoring, and also in ecogenotoxicology, as well as in basic research. We here discuss the development of the method, its principles, applications, and limitations, and attempt to dispel some fallacies that trouble the assay. We provide a detailed protocol, including a recent modification that increases the assay's throughput.

Andrew Collins

Papers

Antioxidants and Cancer: Fact and Fiction

Fine scale Linkage Disequilibrium mapping of Age Related Macular Degeneration in the Complement Factor H gene region

Genome scanning by composite likelihood.

The Comet Assay: A Sensitive and Quantitative Method for Analysis of DNA Damage

A map of nuclear matrix attachment regions within the breast cancer loss-of-heterozygosity region on human chromosome 16q22.1.