Jeffrey W Reid

US Patent:

20220336045, Oct 20, 2022

Filed:

Jul 5, 2022

Appl. No.:

17/857258

Inventors:

- Tarrytown NY, US
Lukas Habegger - Tarrytown NY, US
Jeffrey Reid - Tarrytown NY, US

International Classification:

G16B 20/00
G16H 70/60
G16H 50/50
G16H 10/60
G06F 16/28
G16B 40/00
G16B 20/20
G16B 5/00
G16B 30/00

Abstract:

Methods, non-transitory computer-implemented methods and systems for identifying compound heterozygous mutations (CHMs) and de novo mutations (DNMs) in populations are provided. Also provided are methods for phasing genetic variants in a population by leveraging the population's relatedness. Further provided is a prediction model of relatedness in a human population.

US Patent:

20200082947, Mar 12, 2020

Filed:

Sep 6, 2019

Appl. No.:

16/563222

Inventors:

- Tarrytown NY, US
Jeffrey Reid - Tarrytown NY, US
Lukas Habegger - Tarrytown NY, US

International Classification:

G16H 50/80
G16H 10/60
G06N 3/12

Abstract:

Methods, non-transitory computer-implemented methods and systems for creating enriched pedigree are provided. Also provided are methods, non-transitory computer-implemented methods and systems for determining a disease-causing variant.

US Patent:

20190370254, Dec 5, 2019

Filed:

May 31, 2019

Appl. No.:

16/428509

Inventors:

- Tarrytown NY, US
Leland Barnard - Nanuet NY, US
Ashish Yadav - Stony Brook NY, US
Jeffrey Staples - Ossining NY, US
Jeffrey Reid - Stamford CT, US
Lukas Habegger - Stamford CT, US

International Classification:

G06F 16/2458
G06F 16/22
G16B 50/30

Abstract:

Methods and systems are described for converting a matrix to a sparse vector-based matrix utilizing one or more of a global identifier, a cohort identifier, an n-tuple representation, and a sparse vector. Methods and systems are described for partitioning matrices. Methods and systems are described for managing execution of tasks in a distributed computing environment. Methods and systems are described for positioning data within the distributed computing environment.

US Patent:

20190205502, Jul 4, 2019

Filed:

Sep 7, 2018

Appl. No.:

16/124702

Inventors:

- Tarrytown NY, US
Lukas Habegger - Tarrytown NY, US
Jeffrey Reid - Tarrytown NY, US

International Classification:

G16B 30/10

Abstract:

Methods, non-transitory computer-implemented methods and systems for identifying compound heterozygous mutations (CHMs) and de novo mutations (DNMs) in populations are provided. Also provided are methods for phasing genetic variants in a population by leveraging the population's relatedness. Further provided is a prediction model of relatedness in a human population.

US Patent:

20190074092, Mar 7, 2019

Filed:

Sep 7, 2018

Appl. No.:

16/124647

Inventors:

- Tarrytown NY, US
Lukas Habegger - Tarrytown NY, US
Jeffrey Reid - Tarrytown NY, US

International Classification:

G16H 70/60
G06F 17/30
G16H 10/60
G16H 50/50

Abstract:

Methods, computer-implemented methods and systems for preparing prediction model of relatedness in human population are provided. The prediction model prepared by the methods, computer-implemented methods and systems can be used to model a variety of study populations and sampling approaches to estimate the amount of relatedness researchers should expect in a genetic cohort.

US Patent:

20170233806, Aug 17, 2017

Filed:

Feb 13, 2017

Appl. No.:

15/431715

Inventors:

- Tarrytown NY, US
Lukas Habegger - Stamford CT, US
Jeffrey Reid - Stamford CT, US

International Classification:

C12Q 1/68
G06F 19/24
G06F 19/28
G06F 19/22

Abstract:

Methods and systems for detecting abnormal karyotypes are disclosed. An example method can comprise determining read coverage data, allele balance distributions of heterozygous SNPs, and chromosomal segments where heterozygosity is not observed. The methods and systems can then determine one or more metrics which can be indicative of abnormal karyotype(s).