A multiomics project

DATA

Phenotypic

Clinical

Lab results

Questionnaire

Self reported

Genomics

#samples

14300

Proteomics

#samples

orig 3000

inclusion/exclusion

2000

deficient

<12

399

insufficient

>=12,<20

821

sufficient

>20

655

incl = do not suffer from chronic diseases

exc = anyone with pregnancy

Metabolomics

#samples

orig 3000

inclusion/exclusion

2000

exc = anyone with pregnancy

incl = do not suffer from chronic diseases

AIM

xxxxxx

Objectives

OBJ1

OBJ2

OBJ3

OBJ4

Preliminary work

previously we look at

effects of vitamin D on HDL production

its anti-inflammatory potential

its molecular pathways associated with vitamin D deficiency and dyslipidemia

#samples

n=270

case

~180

deficient

control

~90

sufficient

Gaps

some ppl have higher rate of deciciency compared to others

this means there might be genetic/inherited factors

certain genes linking vitD defeciency with

WORKFLOW 1:
get list of proteins enriched in vitD deficiency from our proteomics study (n=270)

find the genetic variants associated w them

direct

coding region

high impact

it affects protein structure formation

moderate impact

it reduces the effectiveness of a protein

indirect

coding but modifier

it regulates the expression of the protein

non-coding region

it regulates the expression of the protein

WORKFLOW 2:
From 14k, we segregate samples into

deficient

<12 ng/ml

~576 samples

r

how many of these 4205 samples have proteomics data

get the genetic variants profile

match w n=270

compare the proteins

genetic variants that causes X to the proteins in previous studies

Subtopic

filter proteomics using "HDL associated proteins" ~ 100 types

high APO-X

proteomics expression analysis

find statistically sig protein expression

compared genetics w protein exp

HIGH

MODERATE

MODIFIER

gtex

low APO-X

proteomics expression analysis

find statistically sig protein expression

compared genetics w protein exp

HIGH

MODERATE

MODIFIER

gtex

normal/sufficient

>=20 ng/ml

~1049 samples

get the genetic variants profile

insufficient

>12ng/ml, < 20 ng/ml

~1223 samples

get the genetic variants profile

previous work by others

3 dominant gene variants

GC

rs2282679

NADSYN1

rs12785878

CYP2R1

rs10741657

CASE STUDY:
VITAMIN D & CALCIUM

Step1:
Categorize groups - HM

Vit D normal & normal lipid

lipid threshold

cholesterol

triglycerides

LDL

HDL

851

Vit D normal & dyslepedimia

199

Vit D def & Dyslepidimia def

114

Vit D def & normal lipid

463

Step2: Perform proteomics diff expression - RZ

Step3: Check SNPs in the protein statistically diff - RZ

identify impact status

High

affects prot structure

Moderate

affecting effectiveness

Step 5: Check X levels in lab results, questionnaires, EMR - HM

get baseline characteristics

OBJECTIVES

1. Identify genetic mechanism of Vit D defiency

2. Proteomics expression of Vit D deficiency

case study

VitD

deficient

sufficient

insufficient

SLE

Asthma

MS