Literature DB >> 15464419

A renaissance of "biochemical genetics"? SNPs, haplotypes, function, and complex diseases.

Ruty Mehrian-Shai1, Juergen K V Reichardt.   

Abstract

We have made remarkable progress in understanding the molecular bases of many Mendelian diseases over the past 2-3 decades. The current interest in discovering the molecular basis of complex diseases uses either linkage or candidate gene approaches. The latter often uses case/control (or case/cohort) study designs. We believe it is critically important to have a thorough understanding of SNP (single nucleotide) and haplotype function in such endeavors. Functionally neutral SNPs and haplotypes are probably best suited for linkage studies (far away from the locus of interest). Functionally relevant SNPs and haplotypes seem best suited for candidate gene approaches. The need for functional data may result in a renaissance of biochemical genetics with a new twist in the genomic era. We propose that the functional characterization of SNPs and haplotypes be advanced with great vigor for those genes with defined assayable phenotypes. These systematic investigations will involve classical biochemistry, modern genetics, and genomics and will probably also draw on newer technologies such as microarrays. In short, a renaissance of biochemical genetics will advance our understanding of complex diseases.

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Year:  2004        PMID: 15464419     DOI: 10.1016/j.ymgme.2004.07.014

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  4 in total

1.  A combination of single nucleotide polymorphisms in the 3'untranslated region of HLA-G is associated with preeclampsia.

Authors:  K Quach; S A Grover; S Kenigsberg; C L Librach
Journal:  Hum Immunol       Date:  2014-10-17       Impact factor: 2.850

2.  Single nucleotide differences (SNDs) in the dbSNP database may lead to errors in genotyping and haplotyping studies.

Authors:  Lucia Musumeci; Jonathan W Arthur; Florence S G Cheung; Ashraful Hoque; Scott Lippman; Juergen K V Reichardt
Journal:  Hum Mutat       Date:  2010-01       Impact factor: 4.878

3.  SNP-SNP interactions in breast cancer susceptibility.

Authors:  Venüs Ummiye Onay; Laurent Briollais; Julia A Knight; Ellen Shi; Yuanyuan Wang; Sean Wells; Hong Li; Isaac Rajendram; Irene L Andrulis; Hilmi Ozcelik
Journal:  BMC Cancer       Date:  2006-05-03       Impact factor: 4.430

4.  A study on genetic variants of Fibroblast growth factor receptor 2 (FGFR2) and the risk of breast cancer from North India.

Authors:  Sarah Siddiqui; Shilpi Chattopadhyay; Md Salman Akhtar; Mohammad Zeeshan Najm; S V S Deo; N K Shukla; Syed Akhtar Husain
Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

  4 in total

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