ENCODE 3 (2012-2017) expanded production and added new types of assays 8 (Fig. 1, Extended Data Fig. 1), which revealed landscapes of RNA binding and the 3D organization of chromatin via methods such as chromatin interaction analysis by paired-end tagging (ChIA-PET) and Hi-C chromosome conformation capture. Phases 2 and 3 delivered 9,239 experiments (7,495 in human and 1,744 in mouse) in more than 500 cell types and tissues, including mapping of transcribed regions and transcript isoforms, regions of transcripts recognized by RNA-binding proteins, transcription factor binding regions, and regions that harbour specific histone modifications, open chromatin, and 3D chromatin interactions. The results of all of these experiments are available at the ENCODE portal (http://www.encodeproject.org). These efforts, combined with those of related projects and many other laboratories, have produced a greatly enhanced view of the human genome (Fig. 2), identifying 20,225 protein-coding and 37,595 noncoding genes

Here we report a large, extensively characterized set of single-nucleotide polymorphisms (SNPs) covering the human genome. We determined the allele frequencies of 55,018 SNPs in African Americans, Asians (Japanese-Chinese), and European Americans as part of The SNP Consortium's Allele Frequency Project. A subset of 8333 SNPs was also characterized in Koreans. Because these SNPs were ascertained in the same way, the data set is particularly useful for modeling. Our results document that much genetic variation is shared among populations. For autosomes, some 44% of these SNPs have a minor allele frequency ≥10% in each population, and the average allele frequency differences between populations with different continental origins are less than 19%. However, the *Corresponding authors. Jong-Eun Lee is to be contacted at fax: +82 2 364 4778. Michael T. Boyce-Jacino, fax: +1 609 818 0054. PuiYan Kwok,

With NR1I2 playing such a large role in the regulation of genes involved in drug metabolism and transport, genetic variation contributing to altered NR1I2 function may have an important clinical impact.

Candidate gene pharmacogenetic studies offer a strategy for the rapid assessment of putative predictive markers. As a first step toward studying the pharmacogenetics of cancer chemotherapy, 51 candidate genes from the pathways of antineoplastic agents were resequenced to identify common genetic polymorphisms that might alter therapeutic response or toxicity. Forty DNA samples were screened from each of three population groups: African-Americans, Asian-Americans and European-Americans. Nearly 378 kb of genomic sequence was obtained from each sample. Nine hundred and four variants were identified, including 139 coding single nucleotide polymorphisms (cSNPs). Three hundred and fifty-six (40%) polymorphisms were common to all three populations and 366 (41%) were population specific. Three hundred and forty-six (38%) variants were novel polymorphisms that were not present in the three public databases that were examined. One hundred and eleven (35%) of the 319 non-synonymous cSNPs that were identified by either resequencing or database mining were predicted by PolyPhen to be either possibly or probably damaging. For the non-synonymous cSNPs identified by resequencing, both the number of cSNPs found and the maximum estimated allele frequency decreased with increasing predicted severity. These results provide experimental validation and estimated allele frequencies for polymorphisms in three common ethnic groups and facilitate applied pharmacogenetic studies of anticancer drugs.

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