- Burlington NC, US Doris Damian - Lexington MA, US Maciej Pacula - Lexington MA, US Mark A. DePristo - Lexington MA, US Jeffrey R. Luber - Lexington MA, US
Assignee:
Laboratory Corporation of America Holdings - Burlington NC
In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
Metabolic Markers Of Attention Deficit Hyperactivity Disorder
- Lexington MA, US Doris Damian - Lexington MA, US Maciej Pacula - Lexington MA, US Mark A. DePristo - Lexington MA, US Jeffrey R. Luber - Lexington MA, US
International Classification:
G01N 33/49
Abstract:
In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
Methods And Systems For Determining Autism Spectrum Disorder Risk
- Lexington MA, US Doris Damian - Lexington MA, US Maciej Pacula - Lexington MA, US Mark A. DePristo - Lexington MA, US
International Classification:
G01N 33/49 G01N 33/68 G01N 33/82 H01J 49/00
Abstract:
In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
Methods And Systems For Determining Autism Spectrum Disorder Risk
- Lexington MA, US Doris Damian - Lexington MA, US Maciej Pacula - Lexington MA, US Mark A. DePristo - Lexington MA, US
International Classification:
G01N 33/487 H01J 49/00
Abstract:
In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
Methods And Systems For Determining Autism Spectrum Disorder Risk
- Lexington MA, US Doris Damian - Lexington MA, US Maciej Pacula - Lexington MA, US Mark A. DePristo - Lexington MA, US Jeffrey R. Luber - Lexington MA, US Stanley N. Lapidus - Lexington MA, US
International Classification:
G06F 19/00 G01N 33/49
Abstract:
In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.