Methods for determining susceptibility to developmental disorders due to a combination of genetic and environmental factors
View Patent ↗The present invention discloses a novel method for identifying an individual who may be susceptible to develop a developmental disorder. In one particular example, an individual is identified who is genetically susceptible to becoming schizophrenic. In addition, the present invention discloses a novel method for identifying individuals who are genetically susceptible to have offspring with a developmental disorder. Methods of diagnosing, preventing and treating developmental disorders such as schizophrenia are also provided.
1. A method of estimating the genetic susceptibility of an individual to have or to develop a developmental disorder comprising:
(a) collecting a biological sample from one or more participants; wherein a participant is either the individual or a blood relative of the individual; and wherein the biological sample contains nucleic acids and/or proteins of the participant;
(b) analyzing the nucleic acids and/or proteins from the biological sample; wherein said analyzing results in a partial or full genotype for the alleles of the genes involved in folate, pyridoxine, and/or cobalamin metabolism; and wherein said partial or full genotype forms a dataset or datasets of genetic explanatory variables for the one or more participants;
(c) adding the dataset or datasets of genetic explanatory variables obtained from step (b) to a genetic reference dataset therein forming a combined genetic dataset;
(d) formulating a model comprising the genetic explanatory variables obtained from the one or more participants; and
(e) analyzing the combined genetic dataset; wherein a predicted probability for the individual of having or developing a developmental disorder is determined; and wherein the genetic susceptibility of an individual to have or to develop a developmental disorder is estimated.
2. The method of claim 1 wherein said analyzing the combined genetic dataset is performed by binary linear regression.
3. The method of claim 2 further comprising the step of:
(f) modifying the model by adding or subtracting a genetic explanatory variable; and re-analyzing the combined genetic dataset by binary logistic regression; wherein a model is chosen that best fits the data.
4. The method of claim 3 further comprising the step of:
(g) testing the model for goodness of fit.
5. The method of claim 1 wherein the developmental disorder is selected from the group consisting of schizophrenia, spina bifida cystica, Tourette's syndrome, dyslexia, conduct disorder, attention-deficit hyperactivity disorder, bipolar illness, autism, chronic multiple tic syndrome and obsessive-compulsive disorder.
6. The method of claim 5 wherein the developmental disorder is schizophrenia and the individual is suspected of being genetically susceptible of having or for developing schizophrenia.
7. The method of claim 6 wherein the individual is suspected of being genetically susceptible for having or for developing schizophrenia because a blood relative has schizophrenia.
8. The method of claim 7 wherein the blood relative is a parent, a sibling, or a grandparent.
9. The method of claim 8 wherein the blood relative is a parent and wherein the parent is the mother of the individual.
10. The method of claim 1 wherein said analyzing the nucleic acids and/or proteins from the biological sample comprises determining if the biological sample contains a genetic variant of human dihydrofolate reductase having a nucleotide sequence with a 19 base-pair deletion spanning nucleotides 540 to 558 of the nucleotide sequence of SEQ ID NO:41; and wherein the genetic variant of human dihydrofolate reductase is an explanatory variable.
11. The method of claim 10 wherein said determining is performed by a method selected from the group consisting of PCR, special PCR, RT PCR, RFLP analysis, SSCP, and FISH.