AutoICD API

82537-2

Laboratory

RAF1 gene full mutation analysis in Blood or Tissue by Sequencing

Definition

Full sequencing analysis of all 17 coding exons and intron/exon boundaries of the RAF1 gene is performed to aid in the diagnosis of RAF1-associated Noonan syndrome, LEOPARD (lentigines, electrocardiographic conduction abnormalities, ocular hypertelorism, pulmonic stenosis, abnormal genitalia, retardation of growth, and deafness) syndrome, and clinically related disorders.[GHR gene: RAF1]

LOINC 6-Axis Classification

Component

RAF1 gene full mutation analysis

Property

Find

Time Aspect

Pt

System

Bld/Tiss

Scale Type

Doc

Method Type

Sequencing

Details

Class

MOLPATH.MUT

Order/Observation

Both

Short Name

RAF1 Full Mut Anl Bld/T Seq

Display Name

RAF1 gene full mutation analysis Sequencing Doc (Bld/Tiss)

Related Names

BloodDocumentFindingFindingsfull gene sequencingFull Mut AnlGeneticsHeredityHeritablehigh-throughput sequencingHTSInheritedMolecular pathologyMOLPATHMOLPATH.MUTATIONSMutMutationsNext generation sequencingNGSPoint in timeRandomsequencing of entire coding regionTissueTissue, unspecifiedWBWhole bloodWhole blood or Tissue

Frequently Asked Questions

What is LOINC code 82537-2?

LOINC code 82537-2 identifies "RAF1 gene full mutation analysis in Blood or Tissue by Sequencing". Full sequencing analysis of all 17 coding exons and intron/exon boundaries of the RAF1 gene is performed to aid in the diagnosis of RAF1-associated Noonan syndrome, LEOPARD (lentigines, electrocardiographic conduction abnormalities, ocular hypertelorism, pulmonic stenosis, abnormal genitalia, retardation of growth, and deafness) syndrome, and clinically related disorders.[GHR gene: RAF1]

What does 82537-2 measure?

This code measures RAF1 gene full mutation analysis in Bld/Tiss. It belongs to the MOLPATH.MUT class in the LOINC classification.

What is LOINC?

LOINC (Logical Observation Identifiers Names and Codes) is a universal standard for identifying laboratory and clinical observations. It is maintained by the Regenstrief Institute and used worldwide for health data exchange.