Biomedical subjects

N E Maher

Publications and source records attributed to N E Maher.

6 recordsLinked to original sources

PubMed2002

Segregation analysis of Parkinson disease revealing evidence for a major causative gene.

The role of genetics in Parkinson disease (PD) continues to be an area of considerable interest and controversy. We collected information involving the nuclear families of 948 consecutively ascertained PD index cases from the University of Virginia (UVA) Health System, the University of Medicine and Dentistry of New Jersey-Robert Wood Johnson (RWJ) School of Medicine, and Boston University (BU) School of Medicine. We performed a segregation analysis to assess evidence for the presence of a Mendelian pattern of familial transmission. The proportion of male (60.4%) and female (39.6%) cases, the mean age of onset (57.7 years), and the proportion of affected fathers (4.7%), mothers (6.6%), brothers (2.9%), and sisters (3.2%) were similar across the three sites. While most of the index cases were male, modestly more of the reported affected relatives were female. These analyses support the presence of a rare major Mendelian gene for PD in both the age-of-onset and susceptibility model. The age-of-onset model provides evidence for a gene that influences age-dependent penetrance of PD, influencing age of onset rather than susceptibility. We also found evidence for a Mendelian gene influencing susceptibility to the disease. It is not evident whether these two analyses are modeling the same gene or different genes with different effects on PD. The finding of significant genes influencing penetrance for PD raises the question of whether these may interact with environmental factors or other genes to increase the risk for PD. Such gene environment interactions, involving reduced penetrance in PD, may explain the low concordance rates among monozygotic twins for this disease.

Age of Onset↗

PubMed2002

Epidemiologic study of 203 sibling pairs with Parkinson's disease: the GenePD study.

OBJECTIVE: To examine patterns of familial aggregation and factors influencing onset age in a sample of siblings with PD. METHODS: Sibling pairs (n = 203) with PD were collected as part of the GenePD study. Standardized family history, medical history, and risk factor data were collected and analyzed. RESULTS: The mean age at onset was 61.4 years and did not differ according to sex, exposure to coffee, alcohol, or pesticides. Head trauma was associated with younger onset (p = 0.03) and multivitamin use with later onset (p = 0.007). Age at onset correlation between sibling pairs was significant (r = 0.56, p = 0.001) and was larger than the correlation in year of onset (r = 0.29). The mean difference in onset age between siblings was 8.7 years (range, 0 to 30 years). Female sex was associated with increased frequency of relatives with PD. The frequency of affected parents (7.0%) and siblings (5.1%) was increased when compared with frequency in spouses (2.0%). CONCLUSIONS: The greater similarity for age at onset than for year of onset in sibling pairs with PD, together with increased risk for biological relatives over spouses of cases, supports a genetic component for PD. Risk to siblings in this series is increased over that seen in random series of PD cases; however, patients in this sample have similar ages at onset and sex distribution as seen for PD generally. These analyses suggest that factors influencing penetrance are critical to the understanding of this disease.

Age of Onset↗

PubMed2001

Genome-wide scan for Parkinson's disease: the GenePD Study.

A genome-wide scan for idiopathic PD in a sample of 113 PD-affected sibling pairs is reported. Suggestive evidence for linkage was found for chromosomes 1 (214 cM, lod = 1.20), 9 (136 cM, lod = 1.30), 10 (88 cM, lod = 1.07), and 16 (114 cM, lod = 0.93). The chromosome 9 region overlaps the genes for dopamine beta-hydroxylase and torsion dystonia. Although no strong evidence for linkage was found for any locus, these results may be of value in comparison with similar studies by others.

Aged↗

PubMed2001

Family-based association tests for qualitative and quantitative traits using single-nucleotide polymorphism and microsatellite data.

Using the Genetic Analysis Workshop 12 simulated data, we contrasted results for association tests in nuclear families and extended pedigrees using single-nucleotide polymorphism (SNP) data, and we compared results for different trait definitions, for outbred and isolate populations, and for SNP and microsatellite data. SNPs in major genes 1 and 6 were analyzed using transmission disequilibrium testing (TDT) [Spielman et al., Am J Hum Genet 52:506-16, 1993], sibship disequilibrium testing (SDT) [Horvath and Laird, Am J Hum Genet 63:1886-97, 1998], family-based association testing (FBAT) [Horvath et al., Eur J Hum Genet 9:301-6, 2001], and a chi-square analysis of founders. TDT and SDT were applied in a sample of independent nuclear families, while FBAT was applied in extended pedigrees. SNPs and microsatellites were analyzed with dichotomous and quantitative trait definitions using FBAT in the isolate and outbred populations. The results of the TDT, SDT, and FBAT analyses are comparable using SNP data to identify the disease gene. However, these tests of association were not helpful in discriminating between functional and non-functional SNPs in disequilibrium. SNP data were able to identify association with affection status in a gene that influences the liability directly (MG6), but did not perform as well when assessing association with affection status in a gene that influences the outcome only through a quantitative trait (MG1). Association with MG1 was observed using the SNP data when the outcome was defined quantitatively. Microsatellite data were relatively unsuccessful in identifying association with the markers in the region of a major gene. The magnitude of the associations between SNPs and the dichotomous or quantitative trait definitions were similar in the outbred and isolated populations.

Adult↗

PubMed2001

Influence of marker heterozygosity and genetic heterogeneity on fine mapping.

The purpose of the current study was to utilize the Genetic Analysis Workshop 12 simulated data to evaluate fine-mapping strategies for quantitative traits. We approached the analysis as if it was a follow-up to a genome scan that had identified two regions of interest and used the provided 1-cM density microsatellite typing data to mimic fine mapping of these regions. As these investigators knew the true locations of the putative genes under study, we explored the effects of the informativeness of microsatellite markers (marker heterozygosity) and the effects of genetic heterogeneity across families for ten replicates of the data. These results shed a cautionary light on the reliability of fine-mapping efforts on refining mapping locations as the position and the strength of the lod score can be markedly affected by the sampling of the population, the amount of variation accounted for by the gene, and the informativeness of the marker. Our studies did not reveal a large effect of unlinked families on the shape of the lod score peak.

Chromosome Mapping↗

PubMed1999

Stratification techniques to explore genotype environment interactions.

Linkage analysis was performed on the GAW11 Problem 2 data set using stratification to explore the effects of the environmental risk factors and the differences between mild and severe phenotypes. Analysis of the four study populations stratified by the two risk factors identified regions on chromosomes 3 and 5 with significant evidence for linkage. Other loci were sought by removing families consistent with linkage to the chromosome 3 locus. Our studies identified a locus on chromosome 3 (markers 43-46) associated with the mild phenotype in the presence of risk factor 1 and with the severe phenotype independent of risk factor 1. This suggests that distinct allelic variants at the chromosome 3 locus may cause different forms of disease. The locus identified on chromosome 5 (markers 36-39) was linked to the severe phenotype, but exposure to factor 1 or 2 may have a protective effect. The regions on chromosomes 3 and 5 appeared to have independent roles in disease etiology. Evidence for two loci on chromosome 1 linked to the mild form was found. The methods successfully identified linkages and interaction consistent with the generating model.

Environment↗