free barcode reader c# 2: Designing Spring Applications in Java
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</xsd:complexType> </xsd:element> <xsd:element name= ValidateEmailResponse > <xsd:complexType> <xsd:all> <xsd:element name= Status > <xsd:simpleType> <xsd:restriction base= xsd:string > <xsd:enumeration value= VALID /> <xsd:enumeration value= NOT_VALID /> <xsd:enumeration value= EMAIL_SERVER_UNAVAILABLE /> <xsd:enumeration value= EMAIL_SERVER_NOT_FOUND /> <xsd:enumeration value= SYSTEM_ERROR /> </xsd:restriction> </xsd:simpleType> </xsd:element> </xsd:all> </xsd:complexType> </xsd:element> -2 2 253 different QTLs that may be involved in susceptibility to obesity (Rankinen et al., 2006) (Figure 8.2 indicates regions that have been replicated in several studies conditions.) A QTL contains multiple genes, and depending on the separation of the markers used, a QTL could include hundreds of genes. Certain candidate genes encoding factors known to be involved in controlling energy balance and whose position is known from the annotated maps of the mouse and humans genomes (Rance et al., 2005, 2007) can be identi ed within some of these QTLs. Some appear intuitive, such as the region of chromosome 1 (region 1p31) containing the LEPR (leptin receptor) gene, which has been identi ed in several independent studies. Moreover, important genes can be missed, either because they have not yet been discovered or implicated in energy homeostasis, or because key mutations may affect introns rather than the coding regions of genes (see below). Single nucleotide polymorphism (SNP) mapping is a different approach that relates phenotypic features to speci c SNPs in the genome. This is, theoretically, more productive because speci c
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