ID

45591

Beschrijving

Principal Investigator: James T. Elder, MD, PhD, Department of Dermatology, University of Michigan, Ann Arbor, MI, USA MeSH: Psoriasis https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001306 The genotypes obtained from the Affymetrix Biobank Plus array constituted one of eight Caucasian datasets used in a large genome-wide meta-analysis of the association of psoriasis cases versus unaffected controls. With a combined effective sample size of 39,000 individuals, this study identified 16 new psoriasis loci achieving genome-wide significance, increasing the total number of identified psoriasis loci for European-ancestry populations to 63.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001306

Trefwoorden

  1. 01-02-23 01-02-23 - Dr. med. Lucy Kessler
Houder van rechten

James T. Elder, MD, PhD, Department of Dermatology, University of Michigan, Ann Arbor, MI, USA

Geüploaded op

1 februari 2023

DOI

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Licentie

Creative Commons BY 4.0

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dbGaP phs001306 Large Scale Meta-analysis Characterizes Genetic Architecture for Common Psoriasis-associated Variants

Eligibility Criteria

Inclusion and exclusion criteria
Beschrijving

Inclusion and exclusion criteria

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0680251
Psoriasis cases were diagnosed by a dermatologist. Controls were at least 18 years of age and unaffected with psoriasis. All study participants were of self-reported European Caucasian ancestry. Cases and control individuals were recruited at five different locations - Michigan and Utah in the United States, Toronto and Newfoundland in Canada, and in Sweden.
Beschrijving

Elig.phs001306.v1.p1.1

Datatype

boolean

Alias
UMLS CUI [1,1]
C3846158
Samples with > 2% missing genotypes on the Affymetrix Biobank Plus array, an absolute value of the F inbreeding coefficient > 0.03, significant non-Caucasian admixture by principal components analysis, or that were duplicates of or highly related to (Plink Pi_hat > 0.25) individuals within this dataset or with the other seven datasets of Tsoi et al. (2017) were removed before analysis. After quality control, 7,891 individuals from the Affymetrix Biobank Plus dataset (3,863 cases and 4,028 controls) were used for the meta-analysis of Tsoi et al (2017). However, the dataset deposited here (5,942 cases and 5,732 controls) represents application of all quality control filters except the removal of samples that were duplicates or relative pairs with individuals of the other seven datasets.
Beschrijving

Elig.phs001306.v1.p1.2

Datatype

boolean

Alias
UMLS CUI [1,1]
C3846158

Similar models

Eligibility Criteria

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
Inclusion and exclusion criteria
C1512693 (UMLS CUI [1,1])
C0680251 (UMLS CUI [1,2])
Elig.phs001306.v1.p1.1
Item
Psoriasis cases were diagnosed by a dermatologist. Controls were at least 18 years of age and unaffected with psoriasis. All study participants were of self-reported European Caucasian ancestry. Cases and control individuals were recruited at five different locations - Michigan and Utah in the United States, Toronto and Newfoundland in Canada, and in Sweden.
boolean
C3846158 (UMLS CUI [1,1])
Elig.phs001306.v1.p1.2
Item
Samples with > 2% missing genotypes on the Affymetrix Biobank Plus array, an absolute value of the F inbreeding coefficient > 0.03, significant non-Caucasian admixture by principal components analysis, or that were duplicates of or highly related to (Plink Pi_hat > 0.25) individuals within this dataset or with the other seven datasets of Tsoi et al. (2017) were removed before analysis. After quality control, 7,891 individuals from the Affymetrix Biobank Plus dataset (3,863 cases and 4,028 controls) were used for the meta-analysis of Tsoi et al (2017). However, the dataset deposited here (5,942 cases and 5,732 controls) represents application of all quality control filters except the removal of samples that were duplicates or relative pairs with individuals of the other seven datasets.
boolean
C3846158 (UMLS CUI [1,1])

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