Regional differences and similarities of FAP in Sweden

Urban Hellman1, Ole Suhr

  • 1Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. urban.hellman@medicin.umu.se

Insights

Familial amyloid polyneuropathy (FAP) phenotypes vary within Sweden due to the TTR V30M mutation. Differences in onset age and complications may be linked to mitochondrial factors.

Area of Science:

  • Genetics and Neurology
  • Molecular Biology

Background:

  • Familial amyloid polyneuropathy (FAP) exhibits significant phenotypic variability, even within populations sharing the TTR V30M mutation.
  • The TTR V30M mutation's origin in Sweden is distinct from Portugal's, suggesting independent occurrences.
  • Phenotypic differences in Swedish FAP patients are observed geographically, with earlier onset in Skellefteå compared to Piteå.

Purpose of the Study:

  • To investigate the causes of phenotypic heterogeneity in Swedish familial amyloid polyneuropathy (FAP) populations.
  • To explore the relationship between age at onset, disease complications, and genetic factors like mitochondrial haplotypes.

Main Methods:

  • Comparative analysis of FAP patient phenotypes across different regions in northern Sweden.
  • Investigation of TTR V30M mutation origins and distribution.
  • Analysis of mitochondrial haplotype distribution in relation to patient demographics and clinical presentation.

Main Results:

  • Significant differences in age at onset (average 20 years earlier in Skellefteå vs. Piteå) were observed within the Swedish FAP population.
  • Late-onset FAP cases, particularly in males, are associated with cardiomyopathy.
  • Distinct mitochondrial haplotype distributions were found between early- and late-onset FAP patients.

Conclusions:

  • Geographic and temporal factors influence FAP phenotype in Sweden.
  • Mitochondrial function and haplotype variations are potential contributors to the observed phenotypic variability and disease complications in FAP.

Related Concept Videos

Fixed Action Patterns01:06

Fixed Action Patterns

A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
F Distribution01:19

F Distribution

The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Regional Terms01:12

Regional Terms

Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...