{{Rsnum
|rsid=1052576
|Gene=CASP9
|Chromosome=1
|position=15506048
|Orientation=minus
|ReferenceAllele=A
|MissenseAllele=G
|GMAF=0.4004
|Assembly=GRCh38
|GenomeBuild=38.1
|dbSNPBuild=141
|geno1=(A;A)
|geno2=(A;G)
|geno3=(G;G)
|Gene_s=CASP9
}}{{ population diversity
| geno1=(A;A)
| geno2=(A;G)
| geno3=(G;G)
| CEU | 29.2 | 42.5 | 28.3
| HCB | 14.1 | 47.4 | 38.5
| JPT | 14.3 | 41.1 | 44.6
| YRI | 10.2 | 38.1 | 51.7
| ASW | 5.4 | 48.2 | 46.4
| CHB | 14.1 | 47.4 | 38.5
| CHD | 8.3 | 45.9 | 45.9
| GIH | 28.7 | 52.5 | 18.8
| LWK | 3.7 | 27.8 | 68.5
| MEX | 25.9 | 44.8 | 29.3
| MKK | 3.8 | 42.3 | 53.8
| TSI | 15.7 | 54.9 | 29.4
| HapMapRevision=28
}}also known as Q221R

[[rs1052576]] is located on chromosome 1p36.21 in the coding region of [[CASP9]]. The CAG to CGG transition results in the allele Q221R. This SNP is associated with ADHD, general cancer risk, multiple myeloma, non-small cell lung cancer and non-Hodgkin lymphoma {{PMID| 24531918}}  {{PMID| 23251262}} {{PMID| 18381704}} {{PMID| 17285546}} {{PMID| 17071630}}.Generally the A allele confers protection from a variety of cancers. 

An intact apoptotic pathway is essential for many cellular processes including development, immune response and prevention of cellular transformation. Caspases are cysteinyl aspartate proteases involved in signal transduction cascades that result in programmed cell death. [[CASP9]] is an initiator caspase and part of the intrinsic pathway, which is an evolutionarily conserved apoptotic pathway. It is responsible for cleaving and activating the executioner caspases CASP3, CASP6, CASP7, leading to nuclear membrane breakdown, DNA fragmentation and apoptosis.

In their 2014 study, Lee et al performed an ADHD GWAS meta-analysis to identify casual SNPS in ADHD by focusing on SNPs in coding regions as well as a secondary analysis for pathway enrichement {{PMID| 24531918}}. They identified 11 candidate SNPS, three in the [[CASP9]] gene, [[rs1052576]], rs1052571, rs1820204. This GWAS was performed on a dataset that contained 428,074 SNPS from a publicly available database. This data set is derived from the IMAGE project which comprises of 924 trios of European decent, either an affected child and both parents or an affected child and one sibling and one parent. Patients in this study had to meet stringent criteria as well as live with one biological parent and one full sibling to control for environmental factors. The authors identified SNPS using two approaches. The first approach filtered SNPs by linkage disequilibrium analysis followed by a second approach to  that enriched for SNPs using pathway based analysis algorithm called i-GSEA. The authors used a p<0.05 threshold as well as an FDR cutoff of 0.1 to correct for the multiple testing conditions.  For [[rs1052576]] p=0.042. Odds ratio could not be determined from the data provided in the manuscript. 

In another recent study, Yan et al performed a meta-analysis of the [[rs1052576]] SNP in CASP-9 {{PMID| 23251262}}. Seven case-control studies with a total of 1668 cancer cases and 2294 healthy controls were analyzed. Six types of cancer were studied: gastric cancer, lymphoma, lung cancer, colon cancer, myeloma and liver cancer. Four studies were performed in China, two in the USA and one in Russia. The “A” allele carriers of [[rs1052576]] had overall reduced risk for cancer: the "A" allele conferred an OR=0.72( 0.58-0.89) p=0.003. However, these data were only statistically significant in Asian populations: [[rs1052576]]-A resulted in an OR=0.60 with a 95% confidence interval 0.44-0.81 and a p<0.001, in Asians irrespective of the national origin of the study. Caucasian carriers of [[rs1052576]]-A did trend towards a lower OR, however, these data did not reach statistical significance and may warrant further studies: OR=0.85(0.70-1.04), p=0.11. 

In 2009, Andrew et al identified SNPs to predict bladder cancer susceptibility and survival {{PMID| 19252927}}.  They performed a case-controlled study with 832 bladder cancer cases and 1,191 controls using a population of New Hampshire residents;  95% of this cohort was of Caucasian origin. SNPs that modulated bladder cancer survival were selected using an FDR threshold of <0.5. They found that the [[rs1052576]]-G allele reduced survival time for carriers with bladder cancer and increased risk of death due to bladder cancer OR=1.4 (0.8-2.4) and p=0.003. 

Hosgood, et al performed a population based case control study of 128 cases of women with multiple myeloma and 516 controls all from Connecticut {{PMID| 18381704}}. [[rs1052576]]-AG conferred a decreased risk of multiple myeloma OR=0.8 (0.5-1.3) p=0.41, [[rs1052576]]-AA OR=0.5 (0.3-0.9)p=0.02,  p=0.02 for the trend. These data need to be considered with care, as the [[rs1052576]]-AA odds ratio was the only value that reached near statistical significance on its own. Apoptosis is particularly important in the development of B-lymphocytes. A role for [[CASP9]] in these B-cell lymphomas is likely to be of mechanistic importance. 

In 2006, Lan et al investigated the effect of SNPs in CASP3 [Ex8-280C>A (rs6948) and Ex8+567T>C ([[rs1049216]])], CASP8 Ex14-271A>T ([[rs13113]]), [[casp9]] Ex5+32G>A ([[rs1052576]]) and CASP10 Ex3-171A>G ([[rs3900115]]) in the risk of [[Non-Hodgkin Lymphoma]]. Genotyping was performed by real-time PCR. [[rs1052576]]-AA genotype had an OR=0.7 (0.5-1.0) p=0.044 for all Non-Hodgkin’s lymphomas.  In addition, there were protective effects for the [[rs1052576]]-A allele in B-cell lymphomas specifically: [[rs1052576]]-AA OR=0.7 (0.5-1.0) p=0.040. The protective effect of the [[rs1052576]]-A allele was not statistically significant in T cell lymphomas. This may reflect a small sample size or an inherent difference in the biology of the two cell types. Finally, B-cell lymphomas were further divided into three subtypes: Diffuse large B cell lymphoma, Follicular lymphoma, and marginal zone lymphoma and B cell chronic lymphocytic leukemia.  The [[rs1052576]]-AG conferred an OR=0.6 (0.4-1.0) p=0.039 for follicular lymphoma. It is likely that the [[rs1052576]]-AA genotype is protected, however the numbers were small of this genotype and did not reach statistical significance. 

[[CASP9]] is an important member of the apoptotic pathway and has clear mechanistic importance in the regulation of apoptosis. [[rs1052576]] -G confers an increased risk of cancer in numerous studies. There does seem to be a dose dependent effect, however, this remains to be confirmed with more studies.  

{{PMID|17071630}} A allele associated with lower odds of [[Non-Hodgkin Lymphoma]] (OR(AA+AG) = 0.6, 95% CI, 0.4-1.0) among 996 women located in Connecticut (461 cases, 535 controls)

{{PMID|18381704|OA=1
}} A allele associated with lower odds of [[Multiple myeloma]] (OR(AG) = 0.8, 95% CI = 0.5-1.3; OR(AA) = 0.5, 95% CI = 0.3-0.9; p-trend = 0.02) among 664 women located in Connecticut (128 cases, 516 controls)

{{PMID Auto
|PMID=17285546
|Title=[A study on the expression of CASP9 gene and its polymorphism distribution in non-small cell lung cancer].
}}

{{PMID Auto
|PMID=19252927
|Title=Bladder cancer SNP panel predicts susceptibility and survival.
|OA=1
}}

{{PMID Auto
|PMID=19531679
|Title=Polymorphisms and haplotypes in the caspase-3, caspase-7, and caspase-8 genes and risk for endometrial cancer: a population-based, case-control study in a Chinese population.
|OA=1
}}

{{GET Evidence
|gene=CASP9
|aa_change=Gln221Arg
|aa_change_short=Q221R
|impact=not reviewed
|qualified_impact=Insufficiently evaluated not reviewed
|inheritance=unknown
|quality_scores=Array
|dbsnp_id=rs1052576
|overall_frequency_n=6315
|overall_frequency_d=10758
|overall_frequency=0.587005
|n_genomes=36
|n_genomes_annotated=0
|n_haplomes=51
|n_articles=0
|n_articles_annotated=0
|nblosum100=0
|autoscore=0
|webscore=N
}}

{{PMID Auto
|PMID=23251262
|Title=Role of the CASP-9 Ex5+32 G&gt;A polymorphism in susceptibility to cancer: A meta-analysis
|OA=1
}}

{{PMID Auto
|PMID=24879622
|Title=Association of caspase9 promoter polymorphisms with the susceptibility of AML in south Indian subjects
}}
{{on chip | 23andMe v2}}
{{on chip | 23andMe v3}}
{{on chip | 23andMe v4}}
{{on chip | FTDNA2}}
{{on chip | HumanOmni1Quad}}
{{on chip | Illumina Human 1M}}