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GragnoliCardiovascularDiabetology2013,12:2 CARDIO http://www.cardiab.com/content/12/1/2 VASCULAR DIABETOLOGY ORIGINAL INVESTIGATION Open Access Overweight condition and waist circumference and a candidate gene within the 12q24 locus Claudia Gragnoli1,2,3 Abstract Aims: Obesity and obesity-associated phenotypesare linked to the chromosome12q24 locus, the non-insulin- dependent-diabetes 2(NIDDM2) locus. The gene of proteasome modulator 9 (PSMD9) lies inthe NIDDM2 region and is linked to type 2 diabetes (T2D), microvascular and macrovascular complications ofT2D. We aimed atstudying whether thePSMD9 T2D risk single nucleotide polymorphisms (SNPs) IVS3+nt460, IVS3+nt437, and 197G are linked to obesity, overweight status and waist circumference inItalian T2D families. Methods and results: We screened 200 Italians T2D siblings/families for PSMD9 variants. Using Merlin software, we performed non-parametric linkage analysis to testfor linkage withobesityand overweight condition and variance component analysis to test for linkage with waist circumference inour T2D siblings/families dataset. Our study shows thatthePSMD9 SNPs IVS3+nt460, IVS3+nt437, and 197G are inlinkage with overweight condition and waist circumference inItalians. The statistical power tests performed via simulations on real data confirm that theresultsare not due to random chance. Conclusions: In summary, the linkage strategy using a homogeneous family/subject dataset can identify a gene contributing to a complex trait. PMSD9may be atleast one of the genes responsible for thelinkage to obesityand obesity-associated phenotypesatthe locus 12q24 inother populations. Keywords: PSMD9, SNP,Linkage, 12q24, Overweight, Waist Introduction transcription of the ligand-dependent retinoid-target genes SeveralgroupsreportedlinkagewithintheNIDDM2(non- (www.millipore.com/pathways/pathviewer.do?pathwayId=76). insulin-dependent diabetes mellitus) locus at chromosome Since PSMD9 is a coactivator of insulin gene transcription 12q24 to T2D, obesity, central fat mass and waist circum- [9],andinpancreaticoverexpressionoftransgenicmicecause ference [1-8]. Within the 12q24 locus lies the gene of diabetes[11],PSMD9variantsmaycontributetoT2Daswell proteasome modulator 9 (PSMD9), a transcriptional regu- astoobesity,overweightstatusandvisceralobesity. lator of the insulin gene, highly expressed in pancreaticis- We reported that PSMD9 may rarely cause T2D by lets [9]. PSMD9 is a ubiquitous protein of eukaryotic cells unique mutations [12] and that is linked to T2D [13], and part of the 26S proteasome complex, contributing to maturity-onset diabetes of the young 3 (MODY3) [14], intracellularproteinsdegradationintoantigenicpeptidesin T2D-microvascular[15-18]andT2D-macrovascularcom- the immuneresponse to antigenpresentationbyMHC class plications [19], hypercholesterolemia [20], hypertension Icells(www.genecards.org/cgi-bin/carddisp.pl?gene=PSMD9). [21],carpaltunnelsyndrome[22],anddepression[23].Of PSMD9 may play a role in inflammation as part of the note, the 12q24 locus is not only linked to T2D [24], autoimmune process [10]. Further, PSMD9 regulates the macrovascular[25,26] and microvasculardisease[27],but also to dyslipidemia [28], hypertension, obesity, [2], body Correspondence:[email protected] massindexandC-reactiveproteinjointly[29],cat-specific 1LaboratoryofMolecularGeneticsofComplexandMonogenicDisorders, IgEandtotalIgEinasthma[30],andmostinterestinglyto DepartmentofMedicineandCellular&MolecularPhysiologyand bipolar disorder [31] and depression [32]. Also a recent Biostatistics,M.S.HersheyMedicalCenter,PennStateUniversityCollegeof Medicine,Hershey,PA,USA studyhasreportedthatadeletionatthelocus12q24.33is 2CenterforBiotechnologyandDepartmentofBiology,TempleUniversity’s significantly correlated with height, suggesting that this CollegeofScience&Technology,Philadelphia,PA,USA Fulllistofauthorinformationisavailableattheendofthearticle ©2013Gragnoli;licenseeBioMedCentralLtd.ThisisanOpenAccessarticledistributedunderthetermsoftheCreative CommonsAttributionLicense(http://creativecommons.org/licenses/by/2.0),whichpermitsunrestricteduse,distribution,and reproductioninanymedium,providedtheoriginalworkisproperlycited. GragnoliCardiovascularDiabetology2013,12:2 Page2of5 http://www.cardiab.com/content/12/1/2 locusisimportantindeterminingheightandmaycontrib- Linkageanalysis utetoheightvariationinhumanpopulations[33]. We tested in the 200 Italians families for linkage of the The aim of the present study is to identify whether PSMD9 SNPswith maximum lifetimeobesity, maximum PSMD9 IVS3+nt460, IVS3+nt437, and 197G single nu- lifetimeoverweightconditionandwaist circumference. cleotide polymorphisms (SNPs) may be linked to max- The non-parametric linkage analysis for the qualitative imum lifetime obesity, maximum lifetime overweight phenotypes and the variance component analysis for the status and visceral obesity measured by waist circumfer- quantitativetraitwereperformedbyusingMerlinsoftware enceinanItalian familydataset. [49], calculating the allelic frequency from the total 200 genotyped families. Merlin analyzed all the informative Methods families within this dataset. All results are reported as Ethicsstatement LODscorescalculatedbyMerlin. The subjects were all recruited from center Italy follow- ing the Helsinki declaration guidelines. Subjects gave Simulations written informed consent and the Penn State College of For each test performed, to exclude the presence of any MedicineEthical Committeeapprovedthestudy. results due to random chance, we calculated how many times similar P-values were expected by chance in 1,000 Families replicates of simulations by using the gene dropping We recruited 200 Italian T2D affected siblings and fam- method: this analysis replaces real data with simulated ilies. We excluded all families with identical twins and data, while maintaining the pedigree structure, allele fre- confirmed that at least three generations were Italian. quencies and recombination fraction. These datasets are Italians are a homogeneous population living in a penin- generated underthenull hypothesisofnolinkage. sula and they are suitable for genetic studies due to lack of genetic admixture. This family dataset has helped Results studying and identifying T2D and MODYgenes contrib- The results (LOD score, P-value and empirical P-value) utingtodisease[34-48]. of the non-parametric linkage analysis performed for the qualitative phenotypes overweight status and obesity are Clinicalphenotyping showninTable1. We characterized the Italian families for maximum life- The results of the variance component analysis per- timebodymassindex[BMI=weightinKg/(heightinm)2], formed for the quantitative trait waist circumference in indicating as overweight those with maximum lifetime cm with the LOD score, P-value, empirical P-value, trait BMI ≥25 and as obese those with maximum lifetime heritability and trait heritability attributable to the SNPs BMI ≥30. We measured also the waist circumference in under study arereportedinTable2. cm. BMI and waist circumference during pregnancy in females were not considered. Phenotypes are described Discussion as unknown if diagnosis is unclear because data are Our analyses show that the PSMD9 IVS3+nt460, IVS3 lacking. In our 200 Italian families, data are less than +nt437, and 197G SNPs are in linkage with maximum 100%foreachphenotype. lifetime overweight and with waist circumference, repre- senting visceral obesity. Further, there is a trend towards Sequencing linkage with obesity. The reduced number of families Via PCR, we amplified with specific primers in the af- meeting the criteria for obesity may have reduced the fected and unaffected family members the IVS3 PSMD9 powertodetect linkage. region containing the +nt460 A/G and +nt437 C/T SNPs The 12q24.2 chromosome bears the NIDDM2 locus, and the exon 5 coding region containing the E197G A/G the MODY3 gene HNF-1α, cause of T2D and MODY3, SNP. We directly sequenced the PCR products, status respectively. We previously reported that unique rare post-purification via EXOSAP-IT on an automated ABI PSMD9 mutations contribute to T2D and that the IVS3 3730Sequencer. +nt460, IVS3+nt437, and 197G SNPs are linked to T2D Table1Non-parametriclinkageanalysisofphenotypesofthe200ItalianfamiliesbyMerlinsoftware Phenotype Prevalence Families Lodscore P-value EmpiricalP-value Overweight 85.20% 112 1.22 0.009 0.004 Obesity 47.50% 42 0.62 0.050 0.053 Prevalence=phenotypeprevalenceamongthefamilysubjectsstudied;Families=familiesnumberanalyzed;Lodscore=derivedfromthenon-parametric linkageanalysisbyMerlin;EmpiricalP-value=derivedfrom1000replicatesbyusingthegenedroppingmethod;Overweight=presenceofBMI≥25; Obesity=presenceofBMI≥30. GragnoliCardiovascularDiabetology2013,12:2 Page3of5 http://www.cardiab.com/content/12/1/2 Table2Variancecomponentlinkageanalysisofthewaistcircumferenceincmofthe200ItalianfamiliesbyMerlin software Quantitativetrait Families Traitheritability Genetraitheritability Lodscore P-value EmpiricalP-value Waistincm 108 50.66% 49.17% 0.93 0.020 0.023 Families=familiesnumberanalyzed;Lodscore=derivedfromthequantitativetraitanalysisbyMerlin;EmpiricalP-value=derivedfrom1000replicatesbyusing thegenedroppingmethod;TraitHeritability=HeritabilityofthequantitativetraitcalculatedbyMerlin;TraitHeritabilityattributabletothePSMD9SNPs. and MODY3 in our Italian dataset [12,13,14]. Of note, immune response (www.genecards.org/cgi-bin/carddisp. PSMD9 linkage to micro- and macro-vascular disease of pl?gene=PSMD9). PSMD9 may playan inflammatoryrole T2D [15-19], hypercolesterolemia [20], hypertension [21] inautoimmunity[10]withpleiotropiceffects.Ofnote,the and depression [23] suggest a potential role in mediating finding that 12q24.33 deletion affects height [33] could an inflammatory response, which could explain the pres- representanoutcomeoftheinheritanceoffactorspredis- enceoflinkagetotheobesity-associatedphenotypes. posing to pre-disease states and thus affecting adult final Our results demonstrating the presence of linkage to growth. In fact, height is inversely associated with cardio- overweight condition as well as to waist circumference vascular disease [50] and cardiovascular risk factors, such are encouraging as the same locus is in linkage in other as insulin resistance [51]. Thus, the 12q24 locus could populations with obesity, central fat mass and waist bear the gene or genes contributing to waist circumfer- circumference [1,2,8]. The data should be replicable in ence,insulin resistance, cardiovasculardisease, depression other ethnic groups and are of high interest to the and height determination. Itwould beof interest tostudy groups who revealed linkage in the same locus, which the roleofPSMD9 in asthma and IgE-mediated disorders maybeexplainedbythePSMD9variants. aswellasinfinaladultheight. In addition, we again provethe strengthand validity of Competinginterest the linkage approach in identifying genes in complex Theauthorhasnotconflictofinteresttodeclare. disorders. In fact, family-based linkage studies are safer in their statistical nature compared to association stud- Acknowledgments SpecialthanksgototheMolecularBiologystaffofBiosBiotechMulti- ies. Also, we consider that the use of microsatellites as DiagnosticHealthCenter(Rome,Italy),whichhasprovidedtechnicalaswell markers in the past may have negatively affected the re- asfinancialsupportforthisstudy. sults of the linkage, especially in polygenic diseases and Funding with the use of affected siblings, as these markers may ThisworkwassupportedbyPennStateCollegeofMedicine. undergo duplications and mutations in vivo. In fact, pre- viously we could not identify linkage withT2D at 12q24 Authordetails 1LaboratoryofMolecularGeneticsofComplexandMonogenicDisorders, using multiple highly informative and polymorphic DepartmentofMedicineandCellular&MolecularPhysiologyand microsatellites within the same family dataset (data not Biostatistics,M.S.HersheyMedicalCenter,PennStateUniversityCollegeof shown) in which the linkage was identified using SNPs Medicine,Hershey,PA,USA.2CenterforBiotechnologyandDepartmentof Biology,TempleUniversity’sCollegeofScience&Technology,Philadelphia, [13].Hence,SNP-basedlinkagestudiesaremorereliable. PA,USA.3MolecularBiologyLaboratory,BiosBiotechMulti-DiagnosticHealth Also, the family dataset should be ethnically Center,Rome,Italy. homogenoustoallow resultstoberevealed. PSMD9 should be screened in other populations for Received:19December2012Accepted:28December2012 Published:3January2013 mutations and common variants in families with obesity, overweightconditionandvisceralobesity. 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