ID

45363

Description

Principal Investigator: Fuki M. Hisama, MD, University of Washington, Seattle, WA, USA MeSH: Hypertrophy https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000541 The NHGRI Next Generation Mendelian Genetics project uses exome resequencing to identify variants in unsolved Mendelian diseases. Samples were collected from a single, multi-generational family with the same phenotype of exaggerated muscular development (muscular hypertrophy) and strength characterized by reduced fat pad thickness under the skin. All family members deny "body building" activities, and are so far negative for known gene mutation that have been identified as associated with excessive muscle development. All family members have examples of demonstrating extraordinary strength occurring both in childhood and old age. No negative associated phenotype traits with the muscle hypertrophy phenotype have been identified.

Lien

dbGap-study=phs000541

Mots-clés

  1. 04/11/2022 04/11/2022 - Chiara Middel
Détendeur de droits

Fuki M. Hisama, MD, University of Washington, Seattle, WA, USA

Téléchargé le

4 novembre 2022

DOI

Pour une demande vous connecter.

Licence

Creative Commons BY 4.0

Modèle Commentaires :

Ici, vous pouvez faire des commentaires sur le modèle. À partir des bulles de texte, vous pouvez laisser des commentaires spécifiques sur les groupes Item et les Item.

Groupe Item commentaires pour :

Item commentaires pour :

Vous devez être connecté pour pouvoir télécharger des formulaires. Veuillez vous connecter ou s’inscrire gratuitement.

dbGaP phs000541 Next Generation Mendelian Genetics: Muscle Hypertrophy

Eligibility Criteria

Inclusion and exclusion criteria
Description

Inclusion and exclusion criteria

*Inclusion for cases*
Description

Elig.phs000541.v1.p1.1

Type de données

boolean

Alias
UMLS CUI [1,1]
C1512693
Blood relative of a single family
Description

Elig.phs000541.v1.p1.2

Type de données

boolean

Alias
UMLS CUI [1,1]
C0015608
UMLS CUI [1,2]
C1266852
MD clinical observation of exaggerated muscular development without exercise training
Description

Elig.phs000541.v1.p1.3

Type de données

boolean

Alias
UMLS CUI [1,1]
C3889687
UMLS CUI [1,2]
C0442801
UMLS CUI [1,3]
C0949649
UMLS CUI [1,4]
C0332288
UMLS CUI [1,5]
C4279936
Able to donate blood or saliva for DNA extraction
Description

Elig.phs000541.v1.p1.4

Type de données

boolean

Alias
UMLS CUI [1,1]
C0085732
UMLS CUI [1,2]
C0425263
UMLS CUI [1,3]
C0036087
UMLS CUI [1,4]
C0005767
UMLS CUI [1,5]
C0012854
UMLS CUI [1,6]
C0185115
*Exclusion for cases*
Description

Elig.phs000541.v1.p1.5

Type de données

boolean

Alias
UMLS CUI [1,1]
C0680251
Less than 2 years of age
Description

Elig.phs000541.v1.p1.6

Type de données

boolean

Alias
UMLS CUI [1,1]
C0001779

Similar models

Eligibility Criteria

Name
Type
Description | Question | Decode (Coded Value)
Type de données
Alias
Item Group
Inclusion and exclusion criteria
Elig.phs000541.v1.p1.1
Item
*Inclusion for cases*
boolean
C1512693 (UMLS CUI [1,1])
Elig.phs000541.v1.p1.2
Item
Blood relative of a single family
boolean
C0015608 (UMLS CUI [1,1])
C1266852 (UMLS CUI [1,2])
Elig.phs000541.v1.p1.3
Item
MD clinical observation of exaggerated muscular development without exercise training
boolean
C3889687 (UMLS CUI [1,1])
C0442801 (UMLS CUI [1,2])
C0949649 (UMLS CUI [1,3])
C0332288 (UMLS CUI [1,4])
C4279936 (UMLS CUI [1,5])
Elig.phs000541.v1.p1.4
Item
Able to donate blood or saliva for DNA extraction
boolean
C0085732 (UMLS CUI [1,1])
C0425263 (UMLS CUI [1,2])
C0036087 (UMLS CUI [1,3])
C0005767 (UMLS CUI [1,4])
C0012854 (UMLS CUI [1,5])
C0185115 (UMLS CUI [1,6])
Elig.phs000541.v1.p1.5
Item
*Exclusion for cases*
boolean
C0680251 (UMLS CUI [1,1])
Elig.phs000541.v1.p1.6
Item
Less than 2 years of age
boolean
C0001779 (UMLS CUI [1,1])

Utilisez ce formulaire pour les retours, les questions et les améliorations suggérées.

Les champs marqués d’un * sont obligatoires.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial