Complex Diseases

bioinformatics use of The sequencing of the human genome and the advancement of bioinfor-

information technology matics and molecular tools to identify genes has made the process of gene to analyze biological rii • m data discovery much easier. Most of the human genome sequence is now avail able on the Internet, with known and predicted genes annotated. This has reduced the need to laboriously build contigs.

Many of the common single-gene diseases have already been associated with a gene, and research efforts are now shifting to the more difficult task of finding genes that give susceptibility to developing complex diseases. (Such diseases show familial aggregation but do not follow any clear Mendelian inheritance pattern.)

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