ID

44969

Description

Principal Investigator: Pablo V. Gejman, MD, NorthShore University HealthSystem (NUH), Evanston, IL, USA MeSH: Schizophrenia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000021 The goal of the study is to find susceptibility genes for schizophrenia. *Dataset versioning* - Version 1: European-American (EA) ancestry only - Version 2: Version 1 plus African-American (AA) ancestry *Consent groups and participant set* - General research use (GRU): 4591 cases and controls (1217 EA cases, 1442 EA controls, 953 AA cases, 979 AA controls) This consent group includes a subset of schizophrenia cases and all controls (which overlap with Bipolar study controls in Bipolar: GRU dataset). - Schizophrenia and related disorders (SARC): 475 cases (187 EA cases, 288 AA cases) This consent group includes a subset of schizophrenia cases.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000021

Keywords

Versions (2)
  1. 5/12/22 5/12/22 - Martin Dugas
  2. 5/20/22 5/20/22 - Dr. Christian Niklas
Copyright Holder

Pablo V. Gejman, MD, NorthShore University HealthSystem (NUH), Evanston, IL, USA

Uploaded on

May 20, 2022

DOI

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License

Creative Commons BY 4.0
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dbGaP phs000021 Genome-Wide Association Study of Schizophrenia

English

Demography and epidemiological data collection of mentally healthy subjects with European ancestry

9 forms  
pht000068
Description

pht000068

Individual identifier: 150 = KN ( the Knowledge Networks web-enabled panel is a method for conducting Internet-based survey research with a U.S. representative probability sample), dash, then five digit ID#
Description

individual_id

Data type

text

150 = KN ( the Knowledge Networks web-enabled panel is a method for conducting Internet-based survey research with a U.S. representative probability sample)
Description

site_number

Data type

text

KN = the Knowledge Networks web-enabled panel is a method for conducting Internet-based survey research with a U.S. representative probability sample
Description

site_location

Data type

string

EA = self-identified European Ancestry
Description

self_id_ancestry

Data type

string

MGS2 = Molecular Genetics of Schizophrenia 2
Description

collection

Data type

string

SNP genotyping success rate: Y = at least 95% SNP genotyping success rate
Description

previously_genotyped_+well

Data type

string

Sex: male, female
Description

sex

Data type

text

Age when sampled as a control
Description

sampling_age

Data type

text

Measurement units
  • Years
Years
N = answered "no" to the question: "Have you ever received treatment for, or been diagnosed with, any of the following conditions: schizophrenia or schizoaffective disorder?"
Description

possible_schizophrenia_or_schizoaffective

Data type

string

N = answered "no" to the question: "Have you ever received treatment for, or been diagnosed with, any of the following conditions: hearing voices others could not hear or believing things that others said were not true (such as that people were trying to harm you)?"
Description

possible_voices_or_paranoia

Data type

string

N = answered "no" to the question: "Have you ever received treatment for, or been diagnosed with, any of the following conditions: bipolar disorder (manic-depression)?"
Description

possible_bipolar_or_manic_depression

Data type

string

Dual income HH (household head)
Description

PPDUALIN

Data type

text

Education (highest degree received)
Description

PPEDUC

Data type

text

Education (categorical)
Description

PPEDUCAT

Data type

text

Race/ethnicity
Description

PPETH

Data type

text

Household head
Description

PPHHHEAD

Data type

text

Household size (count)
Description

PPHHSIZE

Data type

text

Housing type
Description

PPHOUSE

Data type

text

Household income
Description

PPINCIMP

Data type

text

Marital status
Description

PPMARIT

Data type

text

MSA (metropolitan statistical area) status
Description

PPMSACAT

Data type

text

Region 4 - based on state of residence
Description

PPREG4

Data type

text

Ownership status of living quarters
Description

PPRENT

Data type

text

State
Description

PPSTATEN

Data type

text

Presence of household members - children under 2
Description

PPT01

Data type

text

Presence of household members - children 13-17
Description

PPT1317

Data type

text

Presence of household members - adults 18+
Description

PPT18OV

Data type

text

Presence of household members - children 2-5
Description

PPT25

Data type

text

Presence of household members - children 6-12
Description

PPT612

Data type

text

Current employment status
Description

PPWORK

Data type

text

Age group (years)
Description

AGEGROUP

Data type

text

Measurement units
  • Years
Age category (another way)
Description

ppagecat

Data type

text

Measurement units
  • Years
Age category (yet another way)
Description

ppagect4

Data type

text

Measurement units
  • Years
Region 9 - based on state of residence
Description

ppreg9

Data type

text

Now, please check all the ethnic backgrounds that apply to your paternal grandfather (that is, your father's father). If response "other", specify:
Description

X1_Other__Specify_

Data type

string

Now, please check all the ethnic backgrounds that apply to your paternal grandmother (that is, your father's mother). If response "other", specify:
Description

X2_Other__Specify_

Data type

string

Now, please check all the ethnic backgrounds that apply to your maternal grandfather (that is, your mother's father). If response "other", specify:
Description

X3_Other__Specify_

Data type

string

Now, please check all the ethnic backgrounds that apply to your maternal grandmother (that is, your mother's mother). If response "other", specify:
Description

X4_Other__Specify_

Data type

string

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Similar models

Demography and epidemiological data collection of mentally healthy subjects with European ancestry

9 forms
Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht000068
individual_id
Item
Individual identifier: 150 = KN ( the Knowledge Networks web-enabled panel is a method for conducting Internet-based survey research with a U.S. representative probability sample), dash, then five digit ID#
text
site_number
Item
150 = KN ( the Knowledge Networks web-enabled panel is a method for conducting Internet-based survey research with a U.S. representative probability sample)
text
site_location
Item
KN = the Knowledge Networks web-enabled panel is a method for conducting Internet-based survey research with a U.S. representative probability sample
string
self_id_ancestry
Item
EA = self-identified European Ancestry
string
collection
Item
MGS2 = Molecular Genetics of Schizophrenia 2
string
Item
SNP genotyping success rate: Y = at least 95% SNP genotyping success rate
string
previously_genotyped_+well
Code List
SNP genotyping success rate: Y = at least 95% SNP genotyping success rate
CL Item
At least 95% SNP genotyping success rate (Y)
CL Item
Genotyping was not successful (N)
Item
Sex: male, female
text
sex
Code List
Sex: male, female
CL Item
Male (1)
CL Item
Female (2)
sampling_age
Item
Age when sampled as a control
text
possible_schizophrenia_or_schizoaffective
Item
N = answered "no" to the question: "Have you ever received treatment for, or been diagnosed with, any of the following conditions: schizophrenia or schizoaffective disorder?"
string
possible_voices_or_paranoia
Item
N = answered "no" to the question: "Have you ever received treatment for, or been diagnosed with, any of the following conditions: hearing voices others could not hear or believing things that others said were not true (such as that people were trying to harm you)?"
string
possible_bipolar_or_manic_depression
Item
N = answered "no" to the question: "Have you ever received treatment for, or been diagnosed with, any of the following conditions: bipolar disorder (manic-depression)?"
string
Item
Dual income HH (household head)
text
PPDUALIN
Code List
Dual income HH (household head)
CL Item
Yes (1)
CL Item
No (0)
CL Item
Refused (-1)
CL Item
Not asked (-2)
Item
Education (highest degree received)
text
PPEDUC
Code List
Education (highest degree received)
CL Item
Less then high school (1)
CL Item
Some high school, no diploma (2)
CL Item
Graduated from high school - Diploma or Equivalent (GED) (3)
CL Item
Some college, no degree (4)
CL Item
Associate degree (5)
CL Item
Bachelor's degree (6)
CL Item
Master's degree (7)
CL Item
Professional degree (for example: MD, DDS, LLB, JD) (8)
CL Item
Doctorate degree (9)
Item
Education (categorical)
text
PPEDUCAT
Code List
Education (categorical)
CL Item
Less than high school (1)
CL Item
High school (2)
CL Item
Some college (3)
CL Item
Bachelor's degree or higher (4)
Item
Race/ethnicity
text
PPETH
Code List
Race/ethnicity
CL Item
White, non-Hispanic (1)
CL Item
Black/ African-American, non-Hispanic (2)
CL Item
Other, non-Hispanic (3)
CL Item
Hispanic (4)
Item
Household head
text
PPHHHEAD
Code List
Household head
CL Item
Yes (1)
CL Item
No (0)
CL Item
Refused (-1)
CL Item
Not asked (-2)
Item
Household size (count)
text
PPHHSIZE
Code List
Household size (count)
CL Item
1 (1)
CL Item
2 (2)
CL Item
3 (3)
CL Item
4 (4)
CL Item
5 (5)
CL Item
6 (6)
CL Item
7 (7)
CL Item
8 (8)
CL Item
9 (9)
Item
Housing type
text
PPHOUSE
Code List
Housing type
CL Item
A single-family house detached from any other house (1)
CL Item
A single-family house attached to one or more houses, e.g.townhouse (2)
CL Item
An apartment (3)
CL Item
A condominium or co-op (4)
CL Item
College dormitory (5)
CL Item
A manufactured or mobile home (6)
CL Item
Other (7)
Item
Household income
text
PPINCIMP
Code List
Household income
CL Item
Less than $5,000 (1)
CL Item
$5,000 to $7,499 (2)
CL Item
$7,500 to $9,999 (3)
CL Item
$10,000 to $12,499 (4)
CL Item
$12,500 to $14,999 (5)
CL Item
$15,000 to $19,999 (6)
CL Item
$20,000 to $24,999 (7)
CL Item
$25,000 to $29,999 (8)
CL Item
$30,000 to $34,999 (9)
CL Item
$35,000 to $39,999 (10)
CL Item
$40,000 to $49,999 (11)
CL Item
$50,000 to $59,999 (12)
CL Item
$60,000 to $74,999 (13)
CL Item
$75,000 to $84,999 (14)
CL Item
$85,000 to $99,999 (15)
CL Item
$100,000 to $124,999 (16)
CL Item
$125,000 to $149,999 (17)
CL Item
$150,000 to $174,999 (18)
CL Item
$175,000 or more (19)
CL Item
Refused (-1)
CL Item
Not asked (-2)
Item
Marital status
text
PPMARIT
Code List
Marital status
CL Item
Married (1)
CL Item
Single (never married) (2)
CL Item
Divorced (3)
CL Item
Widowed (4)
CL Item
Separated (5)
Item
MSA (metropolitan statistical area) status
text
PPMSACAT
Code List
MSA (metropolitan statistical area) status
CL Item
Yes (1)
CL Item
No (0)
CL Item
Refused (-1)
CL Item
Not asked (-2)
Item
Region 4 - based on state of residence
text
PPREG4
Code List
Region 4 - based on state of residence
CL Item
Northeast states of ME, NH, VT, MA, RI, CT, NY, NJ, PA (1)
CL Item
Midwest states of OH, IN, IL, MI, WI, MN, IA, MO, ND, SD, NE, KS (2)
CL Item
South states of DE, MD, DC, VA, WV, NC, SC, GA, FL, KY, TN, AL, MS, AR, LA, OK, TX (3)
CL Item
West states of MT, ID, WY, CO, NM, AZ, UT, NV, WA, OR, CA, AK, HI (4)
CL Item
Refused (-1)
CL Item
Not asked (-2)
Item
Ownership status of living quarters
text
PPRENT
Code List
Ownership status of living quarters
CL Item
Own (1)
CL Item
Rent (2)
CL Item
Do not pay for housing (3)
Item
State
text
PPSTATEN
Code List
State
CL Item
ME (11)
CL Item
NH (12)
CL Item
VT (13)
CL Item
MA (14)
CL Item
RI (15)
CL Item
CT (16)
CL Item
NY (21)
CL Item
NJ (22)
CL Item
PA (23)
CL Item
OH (31)
CL Item
IN (32)
CL Item
IL (33)
CL Item
MI (34)
CL Item
WI (35)
CL Item
MN (41)
CL Item
IA (42)
CL Item
MO (43)
CL Item
ND (44)
CL Item
SD (45)
CL Item
NE (46)
CL Item
KS (47)
CL Item
DE (51)
CL Item
MD (52)
CL Item
DC (53)
CL Item
VA (54)
CL Item
WV (55)
CL Item
NC (56)
CL Item
SC (57)
CL Item
GA (58)
CL Item
FL (59)
CL Item
KY (61)
CL Item
TN (62)
CL Item
AL (63)
CL Item
MS (64)
CL Item
AR (71)
CL Item
LA (72)
CL Item
OK (73)
CL Item
TX (74)
CL Item
MT (81)
CL Item
ID (82)
CL Item
WY (83)
CL Item
CO (84)
CL Item
NM (85)
CL Item
AZ (86)
CL Item
UT (87)
CL Item
NV (88)
CL Item
WA (91)
CL Item
OR (92)
CL Item
CA (93)
CL Item
AK (94)
CL Item
HI (95)
CL Item
Refused (-1)
CL Item
Not asked (-2)
Item
Presence of household members - children under 2
text
PPT01
Code List
Presence of household members - children under 2
CL Item
Not asked (-2)
CL Item
No kids lt2 (0)
CL Item
One kid lt2 years old (1)
CL Item
Two kids lt2 years old (2)
Item
Presence of household members - children 13-17
text
PPT1317
Code List
Presence of household members - children 13-17
CL Item
Not asked (-2)
CL Item
No kids 13-17 years old (0)
CL Item
One kid 13-17 years old (1)
CL Item
Two kids 13-17 years old (2)
CL Item
Three kids 13-17 years old (3)
CL Item
Four kids 13-17 years old (4)
CL Item
Five kids 13-17 years old (5)
Item
Presence of household members - adults 18+
text
PPT18OV
Code List
Presence of household members - adults 18+
CL Item
Not asked (-2)
CL Item
One adult 18 years old + (1)
CL Item
Two adults 18 years old + (2)
CL Item
Three adults 18 years old + (3)
CL Item
Four adults 18 years old + (4)
CL Item
Five adults 18 years old + (5)
CL Item
Six adults 18 years old + (6)
Item
Presence of household members - children 2-5
text
PPT25
Code List
Presence of household members - children 2-5
CL Item
Not asked (-2)
CL Item
No kids 2-5 years old (0)
CL Item
One kid 2-5 years old (1)
CL Item
Two kids 2-5 years old (2)
CL Item
Three kids 2-5 years old (3)
CL Item
Four kids 2-5 years old (4)
CL Item
Five kids 2-5 years old (5)
Item
Presence of household members - children 6-12
text
PPT612
Code List
Presence of household members - children 6-12
CL Item
Not asked (-2)
CL Item
No kids 6-12 years old (0)
CL Item
One kid 6-12 years old (1)
CL Item
Two kids 6-12 years old (2)
CL Item
Three kids 6-12years old (3)
CL Item
Four kids 6-12years old (4)
Item
Current employment status
text
PPWORK
Code List
Current employment status
CL Item
I work as a paid employee (1)
CL Item
I am self-employed (2)
CL Item
I am an owner or partner in a small business, professional practice, or farm (3)
CL Item
I work at least 15 hours a week without pay in a family business or farm (4)
CL Item
I am unemployed, temporarily laid off, but looking (5)
CL Item
I am retired (6)
CL Item
I am disabled (7)
CL Item
I am a homemaker (8)
CL Item
Other (9)
Item
Age group (years)
text
AGEGROUP
Code List
Age group (years)
CL Item
Not asked (-2)
CL Item
Refused (-1)
CL Item
18-24 (2)
CL Item
25-34 (3)
CL Item
35-44 (4)
CL Item
45-54 (5)
CL Item
55-64 (6)
CL Item
65-74 (7)
CL Item
75 and over (8)
Item
Age category (another way)
text
ppagecat
Code List
Age category (another way)
CL Item
18-24 (1)
CL Item
25-34 (2)
CL Item
35-44 (3)
CL Item
45-54 (4)
CL Item
55-64 (5)
CL Item
65-74 (6)
CL Item
75 and over (7)
Item
Age category (yet another way)
text
ppagect4
Code List
Age category (yet another way)
CL Item
18-29 (1)
CL Item
30-44 (2)
CL Item
45-59 (3)
CL Item
60 and over (4)
Item
Region 9 - based on state of residence
text
ppreg9
Code List
Region 9 - based on state of residence
CL Item
New England states: ME, NH, VT, MA, RI, CT (1)
CL Item
Mid-Atlantic states:NY, NJ, PA (2)
CL Item
East-North Central states: OH, IN, IL, MI, WI (3)
CL Item
West-North Central states: MN, IA, MO, ND, SD, NE, KS (4)
CL Item
South Atlantic states: DE, MD, DC, VA, WV, NC, SC, GA, FL (5)
CL Item
East-South Central states of KY, TN, AL, MS (6)
CL Item
West-South Central states of AR, LA, OK, TX (7)
CL Item
Mountain states of MT, ID, WY, CO, NM, AZ, UT, NV (8)
CL Item
Pacific states of WA, OR, CA, AK, HI (9)
X1_Other__Specify_
Item
Now, please check all the ethnic backgrounds that apply to your paternal grandfather (that is, your father's father). If response "other", specify:
string
X2_Other__Specify_
Item
Now, please check all the ethnic backgrounds that apply to your paternal grandmother (that is, your father's mother). If response "other", specify:
string
X3_Other__Specify_
Item
Now, please check all the ethnic backgrounds that apply to your maternal grandfather (that is, your mother's father). If response "other", specify:
string
X4_Other__Specify_
Item
Now, please check all the ethnic backgrounds that apply to your maternal grandmother (that is, your mother's mother). If response "other", specify:
string
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