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Short Stature, Hearing Loss, Retinitis Pigmentosa, And Distinctive Facies
Omim
The aunt also developed retinitis pigmentosa, corneal dystrophy, glaucoma, and hypothyroidism. Patient 3 was a 28-year-old man from an unrelated family who presented in the first years of life with short stature, congenital hypothyroidism, and delayed psychomotor development with speech delay. ... In the first and second decades of life, he developed progressive hearing loss, retinitis pigmentosa, and diabetes mellitus. Height was -4.8 SD at age 28. Patients 2 and 3 had the appearance of premature aging with sparse hair and arterial hypertension.
- Coprophilia Wikipedia
- Scimitar Syndrome Wikipedia
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Cardiomyopathy, Dilated, 2a
Omim
The left ventricular shortening fraction at diagnosis ranged from 5 to 28% and was not correlated with outcome. ... Echocardiography showed a dilated left ventricle with poor function and he underwent cardiac transplantation at age 28, at which time his left ventricle end-diastolic volume (LVEDV) was 7.1 cm and fractional shortening was 4%.TTN, RBM20, TNNT2, SCN5A, BAG3, MYH7, MYBPC3, MYH6, DMD, PLN, DES, SGCD, TPM1, TMPO, ACTC1, PSEN1, RAF1, VCL, CSRP3, TCAP, SDHA, TAZ, TAF1A, PSEN2, TNNI3, TNNC1, FKTN, ACTN2, NEXN, MYPN, PPCS, CRYAB, PRDM16, DSG2, FHL2, ABCC9, GATAD1, ANKRD1, DOLK, LDB3, TXNRD2, NEBL, CAP2, LAMA4, LMNA, TTN-AS1, ACTB, CMD1B, LAG3, CHRM2, GATA4, TRIT1, CASZ1, ERBIN, FLNC, NKX2-5, REN, CALD1, MYLK3, MYL12B, GATA5, APP, LAMA1, LINC01672, MYEF2, GATA6, CNTN3, MEF2A, MYOG, MYLK, MYL2, MEOX1, PDLIM7, HAND2, SRA1, GJA1, PPIF, BCAP31, KCNJ12, HSP90AA1, HSPA1B, MYL12A, SOX9
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Myopathy, Granulovacuolar Lobular, With Electrical Myotonia
Omim
Two of the patients were sibs. The sister, aged 28 years, was well until age 18 years when difficulty climbing stairs and frequent tripping were noted.
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Median-Ulnar Nerve Communications
Omim
Crutchfield and Gutmann (1980) found median-ulnar communications in 28% of the general population and in 62% of family members.
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Absence Of Gluteal Muscle
Wikipedia
It was thought to be caused by an autosomal recessive gene . There was a case of a 28 month old with renal ectopia who showed absence of the gluteal muscle with no spina bifida occulta.
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Microvasculature Remodeling
Wikipedia
What makes vessels grow with exercise training? J App Physiol 97: 1119–28, 2004. This cardiovascular system article is a stub .
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Multiple Cutaneous Leiomyoma
Wikipedia
See also [ edit ] List of cutaneous conditions References [ edit ] ^ "Hereditary leiomyomatosis and renal cell cancer | Genetic and Rare Diseases Information Center (GARD) – an NCATS Program" . rarediseases.info.nih.gov . Retrieved 28 April 2019 . ^ a b Freedberg, et al. (2003).
- Autosomal Dominant Multiple Pterygium Syndrome Wikipedia
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Spasmodic Dysphonia
Wikipedia
In muscle tension dysphonia, the vocal folds are typically hyperadducted in constant way, not in a spasmodic way. [28] Additionally, the voice difficulties found in spasmodic dysphonia can be task specific, as opposed to those found in muscle tension dysphonia. [28] Being able to differentiate between muscle tension dysphonia and spasmodic dysphonia is important because muscle tension dysphonia typically responds well to behavioural voice treatment but spasmodic dysphonia does not. [28] [26] This is crucial to avoid providing inappropriate treatment, but in some cases a trial of behavioural voice treatment can also be helpful to establish a differential diagnosis. [28] Spasmodic dysphonia can also be misdiagnosed as voice tremor. [28] The movements that are found in this disorder are typically rhythmic in nature, as opposed to the muscle spasms of spasmodic dysphonia. [26] It is important to note that voice tremor and spasmodic dysphonia can co-occur in some patients. [26] Differential diagnosis is particularly important for determining appropriate interventions, as the type and cause of the disorder determine the most effective treatment. [26] Differences in treatment effectiveness are present even between the types of spasmodic dysphonia. [26] Diagnosis of spasmodic dysphonia is often delayed due to these challenges, which in turn presents difficulties in choosing the proper interventions. [26] [27] Types [ edit ] The three types of spasmodic dysphonia (SD) are adductor spasmodic dysphonia, abductor spasmodic dysphonia, and mixed spasmodic dysphonia. ... "Spasmodic dysphonia: let's look at that again". Journal of Voice . 28 (6): 694–9. doi : 10.1016/j.jvoice.2014.03.007 . ... "Spasmodic dysphonia: let's look at that again". Journal of Voice . 28 (6): 694–9. doi : 10.1016/j.jvoice.2014.03.007 . ... "Stress and distress in non-organic voice disorder". Swiss Medical Weekly . 135 (27–28): 387–97. PMID 16220409 . ^ Ann Otol Rhinol Laryngol. 2001 Oct;110(10):941–5. ^ Spasmodic Dysphonia is a Neurological Disorder Current Evidence and References Archived 2011-02-06 at the Wayback Machine , by Christy L. ... Archived (PDF) from the original on 2012-05-31. ^ Warner TT, Bressman SB (2007-12-28). Clinical Diagnosis and Management of Dystonia .
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Hepatitis C
Wikipedia
Late relapses after apparent cure have been reported, but these can be difficult to distinguish from reinfection. [25] Fatty changes to the liver occur in about half of those infected and are usually present before cirrhosis develops. [26] [27] Usually (80% of the time) this change affects less than a third of the liver. [26] Worldwide hepatitis C is the cause of 27% of cirrhosis cases and 25% of hepatocellular carcinoma. [28] About 10–30% of those infected develop cirrhosis over 30 years. [5] [19] Cirrhosis is more common in those also infected with hepatitis B , schistosoma , or HIV, in alcoholics and in those of male sex. [19] In those with hepatitis C, excess alcohol increases the risk of developing cirrhosis 5-fold. [29] Those who develop cirrhosis have a 20-fold greater risk of hepatocellular carcinoma . ... In the United States, about 70% of cases are caused by genotype 1, 20% by genotype 2 and about 1% by each of the other genotypes. [19] Genotype 1 is also the most common in South America and Europe. [5] The half life of the virus particles in the serum is around 3 hours and may be as short as 45 minutes. [54] [55] In an infected person, about 10 12 virus particles are produced each day. [54] In addition to replicating in the liver the virus can multiply in lymphocytes. [56] Transmission [ edit ] Hepatitis C infection in the United States by source Generally, percutaneous contact with contaminated blood is responsible for most infections; however, the method of transmission is strongly dependent on both a country’s geography and economic status. [57] Indeed, the primary route of transmission in the developed world is injection drug use , while in the developing world the main methods are blood transfusions and unsafe medical procedures. [3] The cause of transmission remains unknown in 20% of cases; [58] however, many of these are believed to be accounted for by injection drug use. [18] Drug use [ edit ] Injection drug use (IDU) is a major risk factor for hepatitis C in many parts of the world. [59] Of 77 countries reviewed, 25 (including the United States) were found to have a prevalence of hepatitis C of between 60% and 80% among people who use injection drugs. [21] [59] Twelve countries had rates greater than 80%. [21] It is believed that ten million intravenous drug users are infected with hepatitis C ; China (1.6 million), the United States (1.5 million), and Russia (1.3 million) have the highest absolute totals. [21] Occurrence of hepatitis C among prison inmates in the United States is 10 to 20 times that of the occurrence observed in the general population; this has been attributed to high-risk behavior in prisons such as IDU and tattooing with nonsterile equipment. [60] [61] Shared intranasal drug use may also be a risk factor. [62] Healthcare exposure [ edit ] Blood transfusion , transfusion of blood products, or organ transplants without HCV screening carry significant risks of infection. [19] The United States instituted universal screening in 1992 [63] and Canada instituted universal screening in 1990. [64] This decreased the risk from one in 200 units [63] to between one in 10,000 to one in 10,000,000 per unit of blood. [18] [58] This low risk remains as there is a period of about 11–70 days between the potential blood donor 's acquiring hepatitis C and the blood's testing positive depending on the method. [58] Some countries do not screen for hepatitis C due to the cost. [28] Those who have experienced a needle stick injury from someone who was HCV positive have about a 1.8% chance of subsequently contracting the disease themselves. [19] The risk is greater if the needle in question is hollow and the puncture wound is deep. [28] There is a risk from mucosal exposures to blood, but this risk is low, and there is no risk if blood exposure occurs on intact skin. [28] Hospital equipment has also been documented as a method of transmission of hepatitis C , including reuse of needles and syringes; multiple-use medication vials; infusion bags; and improperly sterilized surgical equipment, among others. [28] Limitations in the implementation and enforcement of stringent standard precautions in public and private medical and dental facilities are known to be the primary cause of the spread of HCV in Egypt , the country with highest rate of infection in the world. [65] Sexual intercourse [ edit ] Sexual transmission of hepatitis C is uncommon. [12] Studies examining the risk of HCV transmission between heterosexual partners, when one is infected and the other is not, have found very low risks. [12] Sexual practices that involve higher levels of trauma to the anogenital mucosa, such as anal penetrative sex , or that occur when there is a concurrent sexually transmitted infection , including HIV or genital ulceration , present greater risks. [12] [66] The United States Department of Veterans Affairs recommends condom use to prevent hepatitis C transmission in those with multiple partners, but not those in relationships that involve only a single partner. [67] Body modification [ edit ] Tattooing is associated with two to threefold increased risk of hepatitis C . [68] This can be due to either improperly sterilized equipment or contamination of the dyes being used. [68] Tattoos or piercings performed either before the mid-1980s, "underground", or nonprofessionally are of particular concern, since sterile techniques in such settings may be lacking. ... Please update this article to reflect recent events or newly available information. ( July 2020 ) See also: List of people with hepatitis C World Hepatitis Day , held on July 28, is coordinated by the World Hepatitis Alliance. [139] The economic costs of hepatitis C are significant both to the individual and to society. ... Centers for Disease Control and Prevention . Retrieved 28 September 2020 . ^ a b c Ryan KJ, Ray CG, eds. (2004). ... World Journal of Gastroenterology . 15 (28): 3462–71. doi : 10.3748/wjg.15.3462 .IFNG, IFNA2, CD81, IFNL3, HFE, DDX58, SCARB1, CCR5, CYP2A6, CYP3A4, LPL, PTPRC, LOXL2, OPRM1, LOX, MIR181C, IFNL4, MERTK, RTN4, ARG1, GPR158, PIK3CA, KIR3DL1, PLAAT4, GEM, VEGFA, RAF1, MAVS, BRD4, PIK3CB, PIK3CD, PIK3CG, KIAA1549L, ITPA, KIR2DL3, CDKN2A, SERPINB6, ERVW-1, SOCS3, CAV3, IFNL1, LDLR, CCL5, SDK2, CD14, GPT, CXCR3, MIR7-3HG, TNFSF10, CBLIF, HAMP, HSF4, SOCS1, CDKN1A, ARHGAP26, KRAS, TLR7, CLDN7, IRF3, VIPR1, EIF2AK2, MIR21, CXCL8, IL7R, TGFB1, SPP1, IL6, IL4, IL2, EGFR, IL1B, CD274, SERPINA13P, EPO, MIR122, IFNB1, FBL, STAT3, F2, RBM45, IFNA13, STAT1, PTGS2, MAPK1, IL10, PKIB, PTPN11, VDR, ARTN, SLC17A5, UBE2B, CTAA1, CTLA4, CTNNB1, CXCL10, GGTLC1, AGO2, FOXP3, PPARA, SOAT1, IL18, TP53, PPIA, TNF, TLR4, TLR3, TLR2, IL22, SPATA16, IFNA1, BMPER, OAS1, GLT8D2, LNPEP, CCL4, AFP, NCAM2, CCL2, ADIPOQ, MX1, ERVK-32, AGRP, IFNL2, OCLN, HLA-B, MICA, HLA-A, ERVK-20, RIT2, ALB, RNF7, BCL2, BRD2, HLA-C, HMOX1, NFE2L2, APOE, REXO1L1P, HLA-DRB1, FAS, RTEL1, CAP1, CLDN1, HLA-DQA1, NM, PAEP, ROBO3, SORBS1, ERVK-6, MBL2, LOC102724197, PNPLA3, HACD1, APOB, MTTP, OXTR, NR1D2, CYP2D6, ISG15, CCL4L1, IVNS1ABP, NCAM1, APOA1, HAVCR2, CASP3, IRS1, ESR1, IL1A, CCL4L2, TICAM1, FASN, HLA-DQB1, PTEN, PI4KA, LEP, ISYNA1, TLR9, IFIH1, SLCO6A1, PDCD1, GSTK1, TLR8, MBL3P, TRBV20OR9-2, SOS1, PCSK9, AKT1, IRF7, IFNAR2, TRIM69, NOS2, CRP, DDX3X, ACTB, SRC, IL1RN, IL17A, EIF2S1, CYP2E1, PSME3, IL7, IL12B, NLRP3, IRF1, GGTLC5P, IL21, CD38, GGTLC3, COX8A, CD68, GGT1, EIF3A, CCR2, GGTLC4P, CDR3, ISG20, SQSTM1, GABPA, SERPINA1, GGT2, NS2, EGF, DNMT1, ABCB11, BID, IL2RA, HNF1A, KRT20, MS4A1, EIF2S3, CXCL11, SIRT1, HLA-G, MIR155, TBK1, KIR2DS2, CD209, COX2, IFNAR1, TM6SF2, EIF2S2, SSB, LGALS3BP, CHP1, GOLM1, MTCO2P12, CASP1, CYP2B6, G6PC, KHDRBS1, MTOR, PPIP5K1, SLC12A9, IFNLR1, SOD2, ITIH4, HM13, SMIM1, CXCL12, IGH, LGALS9, USP18, NUP62, HNF4A, LINC02605, HLA-DPB1, CNBP, HSP90B1, UROD, FCGR3B, FCGR3A, EPHB2, HAVCR1, ADAR, MTHFR, MMP9, LIPA, NFKB1, SLC4A1, SEC14L2, DHCR24, IL15, HPGDS, VIM, DCTN4, CCND1, SERPINE1, GOLPH3, LTA, GTF2H1, MIP, DEPDC5, KIR2DL2, NTSR1, THPO, ICAM1, CLTC, TBX21, DPP4, MYC, APC, MAPK8, TERT, CD163, GAK, NRSN1, FOXO1, SCD, GZMB, HSP90AA1, FCN2, GAPDH, SDC1, EMB, HRAS, IL27, SLC2A2, HGF, RNASEL, GDE1, SREBF1, IFIT1, LINC01672, C1QBP, AAK1, CD9, CD19, CD27, CD28, CD86, MIR146A, CD40LG, LAG3, CD69, DGAT1, KRT18, ABCB1, KIR3DS1, TPPP, LSAMP, NR0B2, ATG5, MRC1, ACACA, H3P19, MPO, MT1B, PLIN2, LOC110806263, LOC107987479, AHR, CXCL9, CD99, PLIN3, BMS1, TMED2, SMOC1, CHI3L1, CD40, PPARG, MAPK14, IGF2, WDR11, SLC29A1, MAPK3, PPP2R3B, RETN, TNFRSF1A, MIR223, MIR27A, BOC, RSAD2, LAMP3, HLA-DRB3, IL17D, CPT1A, JUN, JAK1, AICDA, PI4KB, MCL1, NF2, MDM2, MFAP1, UBASH3B, IL10RB, UGT1A7, SMAD7, MMP1, IGHG3, HLA-E, MBOAT7, CYP2R1, KIR3DL2, PTBP1, HSPA8, SMYD3, SMAD3, PRDM6, PDIK1L, IRF2, PTBP2, INSRR, TRIM27, PCBP2, LEPR, OSBP, IRF5, LAMP1, IDO1, POMC, KIR2DS1, PELI1, OAS2, PPIB, MAP1LC3B, RAB5A, FAM107B, RRM2, CABIN1, POLDIP2, RNF19A, XRCC1, TRIM25, AIMP2, SLC14A2, HCC, CRK, AP2M1, MCF2L, CEBPB, UCA1, CDSN, CDKN2B, VTN, MIR373, GBF1, CYP2C9, TIMP1, MIR215, TLL1, DDOST, MIR221, CYP27B1, IL37, USF1, CYP1A1, TRAF6, CUX1, TRIO, CCN2, UBE3A, CDH1, KLRK1, TGFBR1, ABCD1, APOC1, APOA2, ANXA6, ANGPT2, ERVK-19, AHSA1, CLEC4M, APRT, AGT, IFI44, ATG7, ACTG1, RACK1, ABO, MASP2, SUB1, PER2, GRAP2, CAT, CASP8, CLDN6, SLC28A2, DCLK1, VAPA, NCR1, BTG3, BCL6, ERVK-9, APOBEC3B, BACH1, ATM, SART3, MIR200C, CR2, TGFB2, GP2, EPHA3, EPHX1, IL23A, GSK3B, FN1, UTS2R, STAT5B, STAT5A, ESR2, TAP2, STAT2, GPC3, MIR130A, MIR125A, GCG, NOX4, IFI6, FOXO3, TAP1, ERBB2, MIR182, ATN1, TAPBP, TAT, EIF4A2, EIF4A1, S100A9, DCAF1, EIF5B, GDF15, SELENOP, RB1, UGT1A1, PPP1R12C, SET, RXRA, TNFRSF11B, SRSF4, SEMA4D, EIF2AK3, NDRG1, ABCG2, SHBG, CREB3, ADAMTS13, HERC5, WDHD1, RTN1, SLC25A1, CBFA2T2, DCTN3, RMDN1, HDAC9, NPC1, DDX56, NHS, DHX58, XRN1, MYD88, SERPINB3, SRL, CCL3, NCL, FUNDC2, IGF2BP1, SAA1, TNFSF13B, NR1H3, CCL8, HCP5, CCL14, ABCB6, S100B, MUC1, TRIM22, NME1, IRF9, NOTCH1, RNH1, CCL27, HPSE, MRPL28, SLPI, ATG14, HSPB3, XBP1, ATRNL1, CLIP1, RMDN3, PLAU, CLIP2, VWF, NAT10, PTPN22, RACGAP1, PSMB8, SUMO1, SYBU, AKR1B10, TNFSF4, NXT1, B3GAT1, TPT1, TPMT, TP73, PDLIM3, TNFRSF1B, TCF7L2, TERC, PPP2CA, MYDGF, TJP1, TIMP2, TFRC, PKN2, PIK3R2, PIK3R1, IGAN1, CXCR4, PHB2, ARHGEF7, APOBEC3G, NR1I2, PCBD1, CDK5R1, TGFA, TNFRSF10A, SPINT1, MBTPS1, BECN1, ENPP2, MARCHF1, PGF, SEMA6A, OASL, USO1, ATG16L1, MSH2, KIDINS220, PIAS1, PMPCA, AP3B1, SREBF2, PPP1R13B, ULK1, SLC40A1, ST14, STAT4, TNFAIP8L2, H3P10, ERN1, FOSB, FLNB, FLNA, FGL1, FBN2, FAP, PTK2B, MIR145, F5, EXT1, ETFA, MIR148A, MIR150, MIR152, EIF4G1, EIF4EBP1, EPHA2, MIR196A1, SLC26A3, DNMT3B, DYNC1H1, SARDH, DHCR7, DECR1, DDIT3, DDB1, DCX, ACE, FOS, FPR2, IGF1, FTH1, IFNA6, IFI27, HSPA5, HPS1, HJV, RMDN2, FOXA2, HFM1, TENT2, HMGB1, HLA-DRB4, ARID2, HLA-DOB, TIGIT, HK2, HINT1, NCR3, GUSB, ASPM, GSTT1, GSTM1, CXCL1, GPX2, GPX1, GLP1R, GLI3, GC, DCC, MIR222, MIR224, MIR26B, CD80, CCNG1, ZGLP1, KRIT1, CASP9, CALM3, CALM2, CALM1, MIR208B, H3P36, KLRC4-KLRK1, BCHE, AXL, ATHS, ERVK-11, ARNTL, ARF4, MYMX, FASLG, APOH, APOC3, APCS, ANXA2, ALPP, ALDH2, AGA, H3P9, CD34, CD36, CD44, KIR2DL5B, CYP2D7, CYP2C19, CYP1A2, MIR30A, MIR34A, CSF3, CSF2, MIR196B, CRHR2, CREM, ATF2, CR1, KLF6, POTEF, MIR499A, CNR1, ABCC2, CCR6, CCR3, MIR483, CISH, CKB, CHUK, CES1, CDKN1B, CDC42, IFNGR2, NXF1, LGALS1, POLDIP3, EHMT1, NTPCR, JUNB, CAMKMT, JUND, MICB, SARNP, CXCR2, IRAK1, IL10RA, CD82, ARHGAP24, NANOG, KLRB1, KRT7, NT5C1A, TACSTD2, EPCAM, IL12A, KLRC1, ASRGL1, IL13, KLRD1, ILF3, MTG1, MLH1, KRT19, MCM7, LBR, MAGEA3, MNAT1, LIPE, TSLP, MMP2, LIG4, ITGA2B, ITGA2, MME, ITGAX, LBP, MCM2, LPAL2, EIF2A, MIR758, FAM72A, RNA28SN5, PRB2, KIF1B, FAM72B, HHIP, TBC1D9, H3P38, TPX2, ERC1, CARD8, GORASP1, APOL3, MIR636, MPIG6B, DKK1, NORAD, RAB18, YTHDC2, MMRN1, KRT8P3, KDM1A, MIR629, MIR619, SMG1, CNOT1, SETD7, QPRT, POU5F1P4, COP1, MIR146B, SHC2, FBXL2, PART1, MIR511, MIR491, SLC28A3, KRT23, SESN2, MIR425, MIR375, LDLRAP1, ERVK-7, PHGDH, GAS5, MIXL1, MIR345, MIR335, IL1RAPL2, BCL2L12, MIR494, IFIT5, ERVK-8, ARHGEF9, SMIM10L2B, LARP1, NUAK2, GPR161, POU5F1P3, PDCD1LG2, TRIM56, MIR503, FKBP8, RAB1B, SMOC2, MIR501, FCRL4, CD2AP, PPP1R15A, RILP, OSBP2, XRN2, ATF7IP, GABARAP, PARTICL, CXCR6, CD226, DCTN6, LOC102724971, EBP, LOC102723407, PTGES3, KDM5B, MAPKAP1, SEMA3B-AS1, PPARGC1A, FTO, SAMMSON, STARD3, GGCT, TOMM34, LPCAT1, ERVK-24, ERVK-25, HEIH, ERVK-18, CELF1, UPK3B, SPINT2, NLRX1, H3P11, H3P28, H3P24, CIB1, H3P23, H3P17, H3P8, H3P13, ZNRD2, MCS+9.7, SUV39H2, CXCL13, RN7SL263P, CREST2, PDLIM5, ERLIN1, PDPN, CREST1, RAD51AP1, CERNA3, RAB40B, ZC3H12A, HOTAIR, EBNA1BP2, EDEM3, CASC11, RASSF1, CD24, SYCE1L, RNF139, SOD2-OT1, PACSIN2, EGOT, ULBP1, UBE2Z, WNK1, ACD, MIR885, SNF8, PINK1, GALNT8, MIR216B, SLCO2B1, MIR147B, CD300A, NUDT3, SLC7A9, BTN3A2, RPL17-C18orf32, ERVK-21, TMED10, RAB32, IMMT, ERVK-10, SLC27A4, SLC27A2, APOC4-APOC2, IL24, GTF2A1L, RPP14, LY75-CD302, MIR3648-1, STON1, TMED7-TICAM2, PIM2, MIR1304, MIR1231, MIR1247, H3P20, MIR942, MIR30B, HSPB8, BCCIP, SPECC1, PTF1A, CASC2, NEIL2, AZIN1, RBM24, NEURL3, SF3B6, MED19, CRTC2, UGGT1, PPIL1, GHRL, CD244, CTNNBL1, ERAP1, IGSF8, CLEC4C, ZFYVE1, SLC30A8, ZC3HAV1, ARNTL2, LIX1, CHPT1, GLTP, UNC5A, MARCHF2, STING1, ARMH1, RAB7B, IFNE, STON1-GTF2A1L, PLA1A, CRLF3, OR10A4, DDX41, TMED10P1, UBE2J1, CAVIN1, DCDC2, MTDH, NCKIPSD, CINP, CMC2, POLE3, APOM, PLIN5, CARD16, NCOA7, CD200R1, AP1S3, TDP1, MED9, TAF8, WRAP53, IFT122, TBC1D20, ARL8B, TMEM132A, HHAT, ADI1, CYCSP25, FBXW7, DDX19A, LAPTM4B, IMPACT, OSBPL1A, VAC14, TUG1, UCKL1, HDAC8, FEV, TREM1, USE1, BTLA, SMOX, PLB1, IL23R, CAVIN3, APCDD1, CRLS1, IL17F, ODR4, CD300LF, VTI1A, AHI1, RSS, DYM, SIDT1, NSUN2, RNF125, CDCA5, HSD17B13, GP6, IRGM, MIR204, TNRC6A, UBE2S, MAP1LC3A, TRIB3, MIR217, MIR216A, SGSM3, SPG16, TNRC6C, KLHL1, MIR25, IGHV4-59, IGHV3-52, MIR200B, ZGPAT, MIR200A, IGHV1-69, IGHV1-3, MIR20A, IGKV3-20, ZNF410, TNFRSF21, TICAM2, SND1, MIR99A, MIR98, MIR93, AGO1, IL36RN, MIR34B, HBP1, HPSE2, ATP2C1, PGLYRP2, VPS4A, KAT8, MIR301A, MIR29B2, MIR29B1, MIR29A, NAAA, MIR27B, ASCC2, SCAF1, MIR19A, RPTOR, MIR192, IGK, MIRLET7G, MIRLET7C, MIRLET7B, IL20, LINC01194, MYO18A, KIR2DL5A, SALL4, SMIM10L2A, TRAT1, MIR188, WNT3A, TMED5, TMED7, HDDC2, NDUFA13, KMT5AP1, CHCHD2, JPT1, TBPL2, MIR101-1, MIR126, DNAJC5B, ITPRIP, LAMTOR2, MIR185, DGAT2, MRPS18B, FLVCR1, MIR17, PYCARD, BRD7, CREB3L3, MIR149, NPC1L1, SPSB2, NEIL1, ALG10, MIR136, HILPDA, IL19, MIR134, MIR130B, EFL1, SERPINA3, TOMM40, HMOX2, HMGCS1, HMGCR, HMBS, MR1, HLA-F, HLF, HLA-DQA2, HLA-DPA1, HLA-DOA, HLA-DMA, NRG1, HDAC1, HTT, HARS1, HADHA, HMGCS2, SLC29A2, F9, HNRNPC, ICAM3, TNC, HTR6, HTC2, HSPG2, HSPB2, HSPB1, HSPA4, HSPA1B, AGFG1, HPCAL1, HP, HNRNPL, HNRNPK, HNRNPD, HABP2, H1-5, GZMH, GUCY1B1, FUT1, FPR1, FLT1, FOXC1, FKBP5, FKBP4, FHIT, FCGR2B, FCGR2A, FCGR1A, FCAR, FBP1, FAT1, ACSL3, FABP2, FUT8, ACKR1, XRCC6, GNB3, GSTP1, GSTM2, PDIA3, GRB2, GOT2, GOT1, GFRA1, GAP43, GFER, GFAP, GCKR, GCHFR, GBP1, GAS6, ID2, IFNA4, IFNGR1, LCK, SMAD4, SMAD2, SMAD1, MXD1, SH2D1A, LY75, LY9, LUM, LTF, LTBP2, CYP4F3, LPA, LMO1, LIF, LGALS4, SMAD6, MAFD2, MAGEA4, MIF, MSH3, ABCC1, MPG, MMP14, MAP3K11, MKI67, MFGE8, MATK, MET, MEFV, MDM4, MCM6, MCM3, MBP, LGALS3, STMN1, IGFALS, RPSA, ING2, IMPDH2, ILF2, TNFRSF9, IL16, IL15RA, IL11, IL9, IL6ST, IL6R, IL1R1, IGFBP7, IGFBP4, IGFBP3, IGFBP1, INPPL1, INSR, IRAK2, KIT, LAIR1, KRT14, KRT8, TNPO1, KPNA1, KLRC2, KIR2DS4, ITGAE, KIR2DS3, ITPR3, EIF6, ITGB1, ITGAM, ITGAL, FABP1, F2R, MYCN, CAPN5, SERPING1, TSPO, BTN1A1, BTF3P11, BST2, BRCA1, BMPR2, BMP6, BMP3, BMP2, BLVRA, CXCR5, OPN1SW, BCL9, BCL2L1, C3, VPS51, ERCC2, CA2, TNFRSF8, CD8B, CD8A, CD5, CD1D, CD1C, CCND2, CCNA2, CBLB, RUNX3, CAV1, CASP7, CAD, SLC25A20, DDR1, BCL2A1, B2M, AVP, ATP6V1G2, AKT2, AIF1, AHCY, AGL, AFM, ADH4, ADH1B, ADH1A, ADA, ACVRL1, ACTA1, ACP2, ACR, ACAT2, ACAT1, ALAS1, AKR1B1, AMPD1, ARF5, ALDH7A1, ATP4A, ATP12A, RERE, ATF4, STS, ARF1, ANGPT1, ABCC6, APOC4, APOC2, APEX1, APAF1, ANXA1, CD33, CD58, CD63, NCAN, DFFA, DHX9, DDX6, DAPK3, DAPK1, CD55, CYP27A1, CYP24A1, CYP17A1, CYP3A5, CYP2C18, CYP2A7, CYBA, CX3CR1, CTSS, NQO1, DIAPH2, DNASE1, EIF4E, STX2, EP300, ENG, ELF1, ELAVL1, ELANE, EFNA4, DPYD, EIF2D, EDNRB, EDNRA, E2F1, DUSP6, DUSP1, CTSB, VCAN, CDA, CSNK1G3, CCR1, CMD1B, CLU, CLCN5, CIRBP, CHIT1, CEL, CECR, CEBPA, CDKN3, CDKN2D, CDKN2C, CDK4, CDK11B, CDK1, CCR7, CNR2, COMT, CRY2, CSNK1G2, CSNK1D, CSNK1A1, CSK, CRYZ, CRYGD, CRY1, CPE, CREB1, CRABP2, CRABP1, CPT2, CPS1, CLDN4, MT2A, GADD45B, IFITM3, ARHGEF5, DDX39B, RAB7A, MAPKAPK3, IL1R2, DNALI1, ZNF185, ZAP70, YWHAZ, XRCC5, XRCC3, WRN, WNT5A, WNT1, WEE1, WAS, NELFE, USP11, STAU1, BAP1, ABCC3, PEA15, IRS2, NUMB, AOC3, TP63, PLA2G4C, MAPKAPK5, IFITM1, OGT, DHX16, DUSP11, CAVIN2, RECK, STX7, VRK1, VLDLR, VCP, UGT1A, TM7SF2, TIMP4, THOP1, THBS1, TGM2, TFR2, TFF3, TERF2, TBP, ADAM17, SYT1, SYK, SURF4, SULT2A1, STX4, TMSB4X, TNFAIP6, TOP1, TWIST1, SLC35A2, UCHL1, UBA7, UBC, TYK2, TXN, TULP1, TOP2A, TRPC5, HSP90B2P, TRAF2, TPR, TPO, TOP3A, TNFRSF25, RIOK3, TNFRSF10B, TOX, BCAP31, OPTN, LRPPRC, ENAM, IL18BP, HNRNPDL, NR1I3, MVP, USP15, MFN2, DDX46, FARP2, TRIM14, SPATA2, RAPGEF5, G3BP1, TNK2, DDX39A, AKR1A1, CPQ, NDC80, PIAS3, BTN3A3, TUBA1B, TLR6, CRISP3, KLRG1, LANCL1, RTN3, SIGMAR1, CDK2AP2, IGSF6, RABEPK, PCLAF, EDEM1, IL1RL2, SDC3, ARHGEF2, HGS, FCGR2C, PIAS2, CH25H, RAB29, TIMELESS, DDX18, FUBP1, IER3, PER3, PROM1, HDAC3, NRP2, CES2, AURKB, VAPB, IL32, GGPS1, SEC24C, PITPNM1, RBM39, CLOCK, GOSR1, TBPL1, GSTO1, AIMP1, NTN1, TGFBRAP1, ZFYVE9, PPIG, GPR55, PDLIM7, AURKA, STAT6, MYLK, PRH1, PREP, PPM1A, PPARD, POU5F1, POU2F1, PON1, POLRMT, PMS2, PML, PLXNB1, PLIN1, PLEK, PLA2G1B, PKM, PITX1, PRF1, PRH2, ST13, PRIM2, PSMD9, PSMD7, PSMD3, KLK10, RELN, MASP1, PRSS3, PRSS1, PROC, PRNP, PRL, DNAJC3, MAP2K7, MAP2K1, PRKAA1, PIK3C3, PIK3C2B, PHB, ABCB4, ODC1, OAS3, NRDC, NRAS, NPPB, NPM1, NOTCH4, NOTCH2, NOS3, NFKBIL1, NFKBIE, NFKBIB, NFKB2, NEK2, NAP1L1, OGG1, SIX6, P2RX4, ENPP1, PGGT1B, PF4, PER1, PECAM1, PDZK1, PDR, PCYT1A, P2RX7, PCNA, PCK2, PAX5, PRKN, PAK3, PAK2, PSMD10, PTH, PTPN2, CCL17, SLC10A1, SLC6A12, SLC6A4, SLC3A2, PMEL, SRSF5, SFRP2, SFRP1, SEL1L, SDHC, SDC4, SDC2, CX3CL1, CCL22, CCL21, SLC12A3, SLCO1A2, SLC22A1, SP1, SST, TRIM21, SRY, SRD5A2, SPRR2A, SPINK1, SOX2, SMARCA2, ABCA1, SNRPD1, SNCA, SIGLEC1, SMN2, SMN1, CCL20, CCL3L1, PTPN6, SERPINB4, RELA, REG1A, RBP4, RBL1, RASGRF2, RARA, RAD51, RAD23B, RAD21, RAB6A, RAB1A, PXN, PVT1, PTX3, PTPN7, REN, RENBP, RHEB, RPS4X, SAG, S100A1, RRAS, RPS27A, RPS6KA3, RPS6, RPL17, RNASE1, ROS1, RORC, RORA, ROBO1, RNASE4, RNASE3, SOD1
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Vaping-Associated Pulmonary Injury
Wikipedia
., cardiac, gastrointestinal, rheumatologic, neoplastic, environmental, or occupational exposures, or causes of acute respiratory distress syndrome ) as suggested by clinical presentation and medical history, while also considering multiple etiologies, including the possibility of VAPI occurring with a concomitant infection. [2] All healthcare providers evaluating patients for VAPI should consider obtaining a thorough patient history, including symptoms and recent use of e-cigarette, or vaping, products, along with substances used, duration and frequency of use, and method of use. [2] Additionally a detailed physical examination should be performed, specifically including vital signs and pulse- oximetry . [2] Laboratory testing guided by clinical findings, which may include a respiratory virus panel to rule out infectious diseases, complete blood count with differential, serum inflammatory markers ( C-reactive protein [CRP], erythrocyte sedimentation rate [ESR]), liver transaminases , and urine toxicology testing, including testing for THC should be acquired. [2] Imaging, typically a chest X-ray , with consideration for a chest CT if chest X-ray results do not correlate with the clinical picture or to evaluate severe or worsening disease should be obtained. [2] Consulting with specialists (e.g. critical care, pulmonology, medical toxicology, or infectious disease) can help guide further evaluation. [2] The diagnosis is commonly suspected when the person does not respond to antibiotic therapy, and testing does not reveal an alternative diagnosis. [4] Many of the reported cases involved worsening respiratory failure within 48 hours of admission after the administration of empiric antibiotic therapy. [28] Lung biopsies are not necessary for the diagnosis but are performed as clinically indicated to rule out the likelihood of infection. [23] Bronchoalveolar lavage sample from a patient with acute lung injury associated with vaping, showing alveolar macrophages laden with vacuoles (A) and extensive lipid deposits (B). [28] There are non-specific laboratory abnormalities that have been reported in association with the disease, including elevations in white blood cell count (with neutrophilic predominance and absence of eosinophilia), transaminases, procalcitonin, and inflammatory markers. [4] [28] Infectious disease testing, including blood and sputum cultures and tests for influenza, Mycoplasma, and Legionella were all found to be negative in the majority of reported cases. [28] Imaging abnormalities are typically bilateral and are usually described as "pulmonary infiltrates or opacities" on chest X-ray and "ground-glass opacities" on chest CT. [4] Bronchoalveolar lavage specimens may exhibit an increased level of neutrophils in combination with lymphocytes and vacuole-laden macrophages. [15] Lavage cytology with oil red O staining demonstrated extensive lipid-laden alveolar macrophages . [28] [29] In the few cases in which lung biopsies were performed, the results were consistent with acute lung injury and included a broad range of features, such as acute fibrinous pneumonitis, diffuse alveolar damage, lipid-laden macrophages, and organizing pneumonia. [17] [23] Lung biopsies often showed neutrophil predominance as well, with rare eosinophils. [24] Case definitions [ edit ] Based on the clinical characteristics of VAPI [a] cases from ongoing federal and state investigations, interim surveillance case definitions for confirmed and probable cases have been developed. [2] The CDC surveillance case definition for confirmed cases of severe pulmonary disease associated with e-cigarette use: [30] Using an e-cigarette ("vaping") or dabbing during the 90 days before symptom onset AND [30] Pulmonary infiltrate, such as opacities on plain film chest radiograph or ground-glass opacities on chest computed tomography AND [30] Absence of pulmonary infection on initial work-up. ... Research into the effectiveness of this approach is still incomplete. [34] [35] [36] [37] [38] [39] Epidemiology [ edit ] See also: Hospitalized cases in the vaping lung illness outbreak An outbreak of vaping-related lung injuries in 2019 and 2020 has mainly affected young people, [40] primarily in the United States. [41] As of February 4, 2020 [update] , there have been 2,758 cases of VAPI [a] reported from all 50 states, the District of Columbia, Puerto Rico, and the US Virgin Islands. [3] The CDC has received complete gender and age data on these cases with 70% of cases being male. [3] The median age of cases is 24 years and ranges from 13 to 85 years. [3] 79% of cases are under 35 years old. [3] There have been 64 confirmed deaths in 28 states and the District of Columbia from this outbreak ranging from ages 15–75 years old. [3] Of the 2,051 cases reported to the CDC, information on substance use is known for 867 cases in the three months prior to symptom onset as of October 15, 2019. [3] About 86% reported using THC-containing products; 34% reported exclusive use of THC-containing products. [3] About 64% reported using nicotine-containing products; 11% reported exclusive use of nicotine-containing products. [3] On September 28, 2019, the first case of vaping-associated pulmonary injury was identified in Canada. [42] A number of other probable cases have been reported in British Columbia and New Brunswick as of October 2019. [43] In September 2019, a US Insurance Journal article stated that at least 15 incidents of vaping related illnesses have been reported worldwide prior to 2019, occurring from Guam to Japan to the UK to the US. [44] 12 cases of health problems with nicotine-containing e-cigarettes were reported to the UK's Medicines and Healthcare products Regulatory Agency (MHRA), with at least one case bearing high similarities to the lipid pneumonia cases reported in the US. [44] One lipoid pneumonia-related death in the UK was associated with e-cigarettes in 2010. [45] Medical officials in continental Europe have not reported any serious medical problems related to vaping products except one early case related to e-cigarettes documented in Northern Spain in 2015. ... California Department of Public Health . August 28, 2019. pp. 1–5. This article incorporates text from this source, which is in the public domain . ^ a b c d e f Henry TS, Kanne JP, Kligerman SJ (October 2019). ... Centers for Disease Control and Prevention (CDC). October 28, 2019. This article incorporates text from this source, which is in the public domain . ^ a b c Mukhopadhyay S, Mehrad M, Dammert P, Arrossi AV, Sarda R, Brenner DS, et al.
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Mean Platelet Volume/count Quantitative Trait Locus 3
Omim
In the combined sample of 10,048 individuals, the association of MPV with rs2138852 reached a p value of 7.19 x 10(-28). Gieger et al. (2011) performed metaanalyses of GWAS for MPV and PLT.
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Hypertension, Essential, Susceptibility To, 5
Omim
Using a specially designed approach in the analysis of biometric and biochemical covariate data from 2,044 sib pairs with severe hypertension collected by the British Genetics of Hypertension (BRIGHT) study, Wallace et al. (2006) found genomewide-significant evidence for linkage of hypertension to a 28-Mb region on chromosome 20q11-q13 when the body mass measures weight, BMI, and hip circumference were included in the analysis (minimum genomewide P = 0.002, maximum lod = 4.24).
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Low Density Lipoprotein Cholesterol, Mild Elevation Of
Omim
This statistically inferred major gene accounted for 24% of the variation in LDLC, with polygenes accounting for another 28%. Using parameters for major gene transmission estimated in the segregation analysis, LDLC showed no linkage to the LDLR gene, the apolipoprotein E gene (APOE; 107741), or the cholesterol 7-alpha-hydroxylase gene (CYP7A1; 118455), indicating that the major gene effect influencing mild elevation in LDLC is not explained by any of these candidate loci.
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Myopathy With Storage Of Glycoproteins And Glycosaminoglycans
Omim
Ionasescu et al. (1984) described mother and daughter, aged 28 and 5 years, respectively, who showed mild to moderate weakness and atrophy of facial and shoulder muscles with congenital onset and minimal progression.
- Wildervanck Syndrome Wikipedia
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Phagophobia
Wikipedia
"Psychiatric aspects of swallowing disorders". Psychosomatics . 28 (11): 572–6. doi : 10.1016/S0033-3182(87)72455-4 .
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Nullisomic
Wikipedia
(Eds), Williams Obstetrics, Twenty-Fourth Edition. Retrieved September 28, 2015 from http://accessmedicine.mhmedical.com/content.aspx?