Huntington's disease is primarily caused by a genetic mutation, specifically an expansion of CAG repeats in the HTT gene located on chromosome 4. This mutation leads to the production of a toxic protein that causes neurodegeneration. While there are some environmental factors that may influence the onset and progression of the disease, it is not considered a multifactorial trait in the same way that conditions like Heart disease or Diabetes are. Thus, Huntington's disease is fundamentally a chromosomal error rather than a multifactorial condition.
Cleft lip is considered a multifactorial trait, meaning it is caused by a combination of genetic and environmental factors rather than a chromosomal error. It can be influenced by both genetic predispositions and exposure to certain environmental factors during pregnancy.
Yes, it is a chromosomal error which occured most likely during meiosis. It is an error in cell division called NONDISJUNCTION. The single X chromsome is maternal, which suggests that the meiotic error tends to be paternal (3/4 of cases) -Krista D. RN
Researchers suspect a possible link may be found on Chromosome 16. It has been a target of study by Crohns disease researchers lately and Chromosome 16 probably contains between 850 and 1,200 genes. With 90 million base pairs to study, it is a huge job.
as women grow older
all of these (study island answer) or for regular info... the deletion of a gene caused by an error in chromosomal crossover, the duplication of a gene caused by an error in chromosomal crossover, a transposition that replicates and inserts new copies of itself within an organism's genome
Alzaymrs is ottosomal dominent
Chromosomal abnormalities happen when there is an error in cell division. Often a egg or sperm could end up with too many chromosomes or not enough which could result in an abnormality such as the baby being stillborn or being born with health problems.
This type of error is known as a chromosomal abnormality, which can occur during cell division and lead to an incorrect number of chromosomes in the zygote. Such abnormalities often result in zygotes that either fail to develop to term or develop severe congenital defects. Common examples include conditions like Down syndrome, Turner syndrome, and Klinefelter syndrome, which can arise from these chromosomal issues.
In statistics, there are two types of errors for hypothesis tests: Type 1 error and Type 2 error. Type 1 error is when the null hypothesis is rejected, but actually true. It is often called alpha. An example of Type 1 error would be a "false positive" for a disease. Type 2 error is when the null hypothesis is not rejected, but actually false. It is often called beta. An example of Type 2 error would be a "false negative" for a disease. Type 1 error and Type 2 error have an inverse relationship. The larger the Type 1 error is, the smaller the Type 2 error is. The smaller the Type 2 error is, the larger the Type 2 error is. Type 1 error and Type 2 error both can be reduced if the sample size is increased.
No. It's an inherited disease. The gene is dominant so basically if you have it, 50% of your children will inherit it as well which can particularly devastating since the symptoms don't appear until the 30's or 40's. So theoretically you can have children that are teenagers by the time you find out, and 50% of them will become afflicted as well. ERROR, each of your children has a 50% chance of inheriting the gene. ALSO, there is Jhd, where children can get it... usually when HD is inherited from the father... but not always. Children as young as 2 have been known to have it. Sadly I have known too many children to die of Jhd.
you have to be much more specific in your question. there are many types of diabetes- type one diabetes, type two diabetes, diabetes insipidus, diabetes mellitus. I, personally, am actually a type one diabetic (diabetes mellitus). This is not due to chromosomal error. No one is precisely sure as to how one acquires diabetes, but my doctor's believe I caught a virus which tricked my immune system to thinking my pancreas was sick, when it was in fact not. My immune system then killed my beta cells. Or alpha. I don't know haha. Hope this helps.
The probability isP(you have the disease)*P(the test shows positive when testing someone with the disease) +P(you don't have the disease)*P(the test shows positive when testing someone without the disease).The second category is particularly important if the disease is rare but the probability of a type II error is large.