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Biomedical subjects

Mark Lathrop

Publications and source records attributed to Mark Lathrop.

58 records · Page 4Linked to original sources

Detection of putative functional angiotensinogen (AGT) gene variants controlling plasma AGT levels by combined segregation-linkage analysis.

Previous studies have suggested that angiotensinogen (AGT) gene variants are associated with increased plasma AGT levels, and may also contribute towards the inherited component of predisposition to essential hypertension in humans. To explore the potential functionality of several AGT polymorphisms and estimate their effects, together with other sources of familial correlations, on plasma AGT, we undertook a large study involving 545 healthy French volunteers in 130 nuclear families that include 285 offspring. Plasma AGT levels were measured in all participants, and bi-allelic AGT variants were analysed as candidate functional variants at three sites in the 5'-flanking region (C-532T, A-20C, G-6A), two sites in exon 2 (M235T, T174M) and two newly identified variant sites in the untranslated sequence of exon 5 and the 3'-flanking region (C+2054A, C+2127T) of the gene. Analysis with the class D regressive model showed significant effects influencing plasma AGT levels of all AGT polymorphisms tested, with the exception of T174M. The most significant result was found at C-532T (P=0.000001), which accounts for 4.3% of total plasma AGT variability in parents and 5.5% in offspring, with substantial residual familial correlations. Maximum likelihood estimates of haplotype frequencies and tests of linkage disequilibrium between each AGT polymorphism and a putative QTL are in agreement with a complete confounding of C-532T with the QTL, when taking into account sex and generation specific effects of the QTL. However, further combined segregation-linkage analyses showed significant evidence for additional effects of G-6A, M235T and C+2054A polymorphisms after accounting for C-532T, which supports a complex model with at least two functional variants within the AGT gene controlling AGT levels.

Analysis of Variance↗

Molecular analysis of Berardinelli-Seip congenital lipodystrophy in Oman: evidence for multiple loci.

Congenital generalized lipodystrophy (CGL) is a rare disorder characterized by the absence of body fat and insulin resistance and accompanied by other features, including acanthosis nigricans, organomegaly, hyperandrogenism, and diabetes. We have examined case subjects from 11 families in Oman with CGL. All subjects were the progeny of consanguineous marriages; therefore, a homozygosity mapping strategy was used to investigate the reported loci, 11q13 and 9q34. Three subjects could be linked to 11q13, and mutations were found within the seipin gene. An additional eight subjects were linked to 9q34, but the locus was in a 9-cM interval with no known microsatellites, so further fine mapping was not possible. However, two sibships (four subjects) did not map to either locus, raising the possibility of more than two lipodystrophy loci within the Oman population.

Chromosome Mapping↗

Automated identification of single nucleotide polymorphisms from sequencing data.

Single nucleotide polymorphisms (SNPs) provide abundant information about genetic variation. Large scale discovery of high frequency SNPs is being undertaken using various methods. However, the publicly available SNP data are not always accurate, and therefore should be verified. If only a particular gene locus is concerned,locus-specific polymerase chain reaction amplification may be useful. Problem of this method is that the secondary peak has to be measured. We have analyzed trace data from conventional sequencing equipment and found an applicable rule to discern SNPs from noise. We have developed software that integrates this function to automatically identify SNPs. The software works accurately for high quality sequences and also can detect SNPs in low quality sequences. Further, it can determine allele frequency, display this information as a bar graph and assign corresponding nucleotide combinations. It is very useful for identifying de novo SNPs in a DNA fragment of interest.

Algorithms↗