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M De Andrade

Publications and source records attributed to M De Andrade.

7 recordsLinked to original sources

Men transmit MS more often to their children vs women: the Carter effect.

OBJECTIVE: Multiple sclerosis (MS) is approximately twice as common among women as men. If men have greater physiologic resistance to MS, they might theoretically require stronger genetic predisposition than women to overcome this resistance. In this circumstance, men would be expected to transmit the disease more often to their children, a phenomenon known as the Carter effect. The authors evaluated whether the Carter effect is present in MS. METHODS: The authors studied 441 children (45 with definite MS) of an affected father or mother (197 families of interest) from 3598 individuals in 206 multiplex pedigrees. The authors compared transmission of MS from affected men with transmission from affected women. RESULTS: Fathers with MS transmitted the disease to their children more often (transmitted: 18, not transmitted: 99) than mothers with MS (transmitted: 27, not transmitted: 296) (p = 0.032; OR: 1.99, 95% CI: 1.05, 3.77). Adjusting for both the sex of the affected child and multiple transmissions from a single affected parent, the sex of the affected parent remained as an independent risk factor for transmission of MS to children, fathers transmitting more often than mothers (p = 0.036; OR: 2.21, 95% CI: 1.05, 4.63). CONCLUSIONS: The authors have demonstrated the Carter effect in multiple sclerosis (MS). These observations may be explained by greater genetic loading in men that leads to relative excess paternal vs maternal transmission. Linkage analysis in genetic studies of MS may be more informative if patrilineal transmission were given additional weighting.

Child↗

Association of APOE polymorphisms with disease severity in MS is limited to women.

The authors studied the association of an exon 4 (E4*epsilon2/3/4) and three promoter polymorphisms of APOE with disease course and severity stratified by gender in 221 patients with multiple sclerosis from two overlapping population-based prevalence cohorts. Women carriers of the E4*epsilon2 allele took longer to attain an Expanded Disability Status Scale score of 6 (p = 0.015) and had more favorable ranked severity scores than noncarriers (p = 0.009). There was no association in men. Alleles epsilon3 or epsilon4 and promoter polymorphisms were not associated with disease course or severity.

Adult↗

Familial segregation of venous thromboembolism.

BACKGROUND: Venous thromboembolism (VTE) is postulated as a complex disease, but the heritability and mode of inheritance are uncertain. OBJECTIVE: To determine if VTE (i) segregates in families; (ii) is attributable to inheritance, shared environment, or both; and (iii) the possible mode of inheritance. PATIENTS AND METHODS: In a family-based study of relatives from 751 probands (60% female) with objectively diagnosed VTE (without cancer), we performed complex segregation analyses corrected for mode of ascertainment, considering age-specific, non-gender- and gender-specific liability classes under Mendelian and non-Mendelian assumptions. We tested 12 models categorized into four model sets: (i) sporadic (assumes no genetic effect); (ii) Mendelian inheritance of a major gene (including dominant, additive, recessive or codominant classes); (iii) mixed model (Mendelian inheritance including the same four classes plus the effect of polygenes); and (iv) non-Mendelian. RESULTS: Among the 16 650 relatives, 753 (48% female) were affected with VTE, of whom 62% were first-degree relatives. The sporadic model was rejected in both non-gender- and gender-specific liability class analyses. Among the remaining gender-specific models, the unrestricted (non-Mendelian) inheritance model was favored with an estimated heritability of 0.52. Among the Mendelian models, the dominant mixed model was preferred, with an estimated heritability and major disease allele frequency of 0.62 and 0.25, respectively, suggesting an effect of several minor genes. CONCLUSION: A multifactorial non-Mendelian inheritance model was favored as the cause for VTE, while a model postulating a purely environmental cause was rejected. VTE is probably a result of multigenic action as well as environmental exposures.

Adolescent↗

Genetic linkage analysis using lognormal variance components.

Typically genetic studies of continuous traits such as cholesterol levels or blood pressure assume that interindividual variability follows a normal distribution. Here we develop methods to analyze positively skewed data by assuming a lognormal distribution. We develop a variance components approach for identifying such effects from a major gene, residual polygenic factors and nongenetic factors. We compare by a simulation study results from fitting this lognormal model with either applying the log transformation or not transforming the data. We found that the lognormal model provided more precise estimates and more powerful tests than a simple log transformation when analyzing lognormally distributed data. Power varied with sibship size. For the same total number of nonindependent sibpairs, larger sibships were less powerful. However, larger sibships are more economical because they require a smaller sample size to obtain a specified power. To illustrate the application of this lognormal model to real data, we studied evidence for linkage between triglycerides and the lipoprotein lipase gene.

Genetic Linkage↗

Apparent heterozygote deficiencies observed in DNA typing data and their implications in forensic applications.

Restriction fragment length polymorphisms (RFLP) analysis using the Southern blot technique can be used to recognize copy number variation of variable number of tandem repeats (VNTR) of conserved core sequences at several regions of the human genome. This new class of polymorphisms reveals a high degree of genetic variation, useful for individual identification purposes. Criticisms against forensic applications of such DNA typing data include the limitation of employing Hardy-Weinberg expectation of genotype frequencies, since several surveys indicate apparent deficiency of heterozygosity (or excess homozygosity) in comparison with Hardy-Weinberg expectations. This research postulates an alternative explanation of deficiency of apparent heterozygosity which is caused by the inability to detect extremely small-sized alleles (called 'non-detectable' alleles) due to the sensitivity of Southern gel electrophoresis. We show that the presence of 'non-detectable' alleles can produce pseudo-homozygosity and their frequencies can be predicted from the observed proportional heterozygote deficiency. Furthermore, in the covert presence of such 'non-detectable' alleles, we show that the gene-count method provides over-estimates of allele frequencies in the sample population, and hence the Hardy-Weinberg predictions of genotype frequencies avoid wrongful bias against suspects in forensic applications of DNA typing data. Applications of this theory to population data on six VNTR loci in US Caucasians and US Blacks suggest that the presence of 'non-detectable' alleles could be the major cause of apparent heterozygote deficiency, and the current approaches of predicting the population frequency of specific DNA phenotypes are practically free of the possible wrongful bias in courtroom applications of DNA typing data.

Alleles↗