IP Library Granted Patent US 12,203,138
Granted Patent B2
US 12,203,138 · App. 17/182,846 · Granted Jan 21, 2025

Method to identify subjects at higher risk to develop an autoimmune disease based on genetic and/or phenotypic screening for epistatic variants in DDX39B (RS2523506) and IL7R (RS6897932)

Inventors: Mariano A. Garcia-Blanco (Galveston, TX); Gaddiel Galarza-Munoz (Galveston, TX); Simon G. Gregory (Durham, NC); Farren B. S. Briggs (Cleveland Heights, OH); Lisa F. Barcellos (El Cerrito, CA); Shelton S. Bradrick (Galveston, TX); Irina Evsyukova (Cedar Grove, NC); Dennis C. Ko (Durham, NC)
Assignees: Board of Regents, The University of Texas System; Duke University; Case Western Reserve; The Regents of the University of California
C12Q1/6883C12Q1/34C12Q1/6806C12Q1/683C12Q1/6851C12Q1/686C12Q2600/156C12Y306/04013
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,203,138
App. No.
17/182,846
Granted
Jan 21, 2025
Kind
B2
Abstract

The present invention includes a method, kits, and assays for identifying a human subject as having an increased risk of developing an autoimmune disease, or a human subject with multiple sclerosis caused by elevated soluble Interleukin 7 receptor (sIL7R), by obtaining a biological sample and detecting or measuring in the biological sample an amount of a soluble Interleukin-7 receptor (sIL7R) and an amount of an RNA Helicase DDX39B, whereby a lower expression of DDX39B and a higher secretion of sIL7R identifies the subject from which the biological sample was obtained as having an increased risk of developing an autoimmune disease, when compared to a human subject not having an autoimmune disease. The present invention also includes a method of modifying a treating of subjects based on the lower expression of RNA Helicase DDX39B alone or in combination with an increase in sIL7R.

Claims (54)

1. A method of selecting for treatment a human subject with an autoimmune disease caused by lower levels of an RNA Helicase DDX39B, elevated levels of a soluble interleukin-7 receptor (sIL7R), or both, comprising:

obtaining a biological sample from a subject suspected of having an autoimmune disease; and

detecting or measuring in the biological sample an amount of an RNA Helicase DDX39B, the sIL7R, or both, wherein a patient is selected for treatment if they have a lower expression of DDX39B, elevated expression of sIL7R, or both; and

selecting a treatment for the subject that has increased levels of sIL7R when compared to a sample from a human subject not having an autoimmune disease having lower levels of an RNA Helicase DDX39B, elevated expression of sIL7R, or both.

2. The method of claim 1 , wherein the autoimmune disease is selected from Multiple sclerosis, Type I diabetes, Rheumatoid arthritis, Systemic lupus erythematosus, Atopic dermatitis, Ankylosing spondylitis, Primary biliary cirrhosis, or inflammatory bowel syndromes such as Ulcerative colitis and Crohn's disease.

3. The method of claim 1 , further comprising at least one of:

detecting a presence of the risk alleles at SNPs associated with increased risk of multiple sclerosis in DDX39B and IL7R genes, at least one SNP selected from at least rs6897932 and rs2523506, or any allele in linkage disequilibrium with the DDX39B and IL7R MS risk alleles; a differential expression of IL7R RNA isoforms; a differential expression of IL7R protein isoforms; a differential expression of DDX39B RNA; a differential expression of DDX39B protein; or any combination thereof;

detecting allelic variants in DDX39B nucleic acids, which encodes an RNA helicase critical for inclusion of exon 6 in the Interleukin-7 receptor (IL7R) mRNA, whereby the presence of the risk A allele at the SNP rs2523506 in DDX39B exon 1 (5′ UTR of DDX39B mRNAs), or the presence of the complementary allele in the opposite strand, or the presence of any other allele in linkage disequilibrium with rs2523506, identifies the subject from which the biological sample was obtained as having multiple sclerosis or having an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNP rs2523506;

detecting allelic variants in DDX39B and the Interleukin-7 receptor (IL7R), whereby the presence of the risk A allele at the SNP rs2523506 in DDX39B exon 1 (5′ UTR of DDX39B mRNAs) and the presence of the risk C allele at the SNP rs6897932 in IL7R exon 6, or the presence of the complementary allele in the opposite strand, or the presence of any other allele in linkage disequilibrium with at least one of rs2523506 or rs6897932, identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506 and/or rs6897932;

detecting phenotypic differences in the expression of Interleukin-7 receptor (IL7R) mRNA isoforms and RNA Helicase DDX39B, wherein an elevated fraction of IL7R mRNAs that lack exon 6 or lower levels of expression of the RNA Helicase DDX39B are indicative of having multiple sclerosis or being at increased risk for multiple sclerosis, whereby an elevated fraction of IL7R mRNAs that lack exon 6 or lower levels of expression of the RNA Helicase DDX39B, or both in the biological sample from an individual carrier of the risk alleles at rs6897932 and/or rs2523506, or any other variant in linkage disequilibrium with rs6897932 and/or rs2523506, identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506 and/or rs6897932;

detecting phenotypic differences in the expression of Interleukin-7 receptor (IL7R) protein isoforms and RNA Helicase DDX39B, wherein elevated levels of the soluble form of IL7R (sIL7R) and/or lower levels of the RNA Helicase DDX39B are indicative of having multiple sclerosis or being at increased risk for multiple sclerosis, whereby elevated levels of sIL7R or lower expression of the RNA Helicase DDX39B, or both, in the biological sample from an individual carrier of the risk alleles at either rs6897932 and rs2523506, or any other variant in linkage disequilibrium with rs6897932 and/or rs2523506, identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506 and/or rs6897932;

detecting phenotypic differences in the expression of DDX39B protein in a subject suspected of having multiple sclerosis, whereby decreased expression of DDX39B protein in the biological sample identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a subject not suspected to have multiple sclerosis; or

detecting phenotypic differences in the expression of DDX39B protein, whereby decreased expression of DDX39B protein in the biological sample from an individual carrier of the risk allele at rs2523506, or any other variant in linkage disequilibrium with rs2523506, identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506.

4. The method of claim 1 , wherein the detection of RNA Helicase DDX39B nucleic acids, sIL7R nucleic acids, or both, is by a hybridization reaction, a polymerase chain reaction, restriction endonuclease digestion analysis, restriction fragment length polymorphism (RFLP) analysis, an amplification reaction, an isothermal amplification reaction, or a multiplex amplification reaction, a polymerase chain reaction (PCR) amplification reaction, a real-time quantitative polymerase chain reaction (qPCR) amplification reaction, a reverse transcriptase PCR (RT-PCR) amplification reaction, primer extension, DNA array technology, a linear amplification technique, a ligation reaction, direct sequencing, a sequencing reaction, or a combination thereof; or

detection of RNA Helicase DDX39B protein, sIL7R protein, or proteins is by LUMINEX, ELISA, immunoassay, mass spectrometry, high performance liquid chromatography, two-dimensional electrophoresis, Western blotting, flow cytometry, chemiluminescence immunoassay, a sandwich assay, a precipitation reaction, an immunoprecipitation reaction, a precipitin reaction, a gel diffusion immunodiffusion assay, an agglutination assay, a fluorescent immunoassay, protein microarray, radioimmunoassay, or antibody microarray, or both.

5. The method of claim 1 , further comprising at least one of:

detecting a pre-mRNA, mRNA, or protein of Interleukin-7 receptor (IL7R) exon 6 splice variants in the biological sample;

differentiating between a subject having an increased risk of multiple sclerosis or as having multiple sclerosis;

detecting DDX39B interaction with ESE2 that promotes inclusion of IL7R exon 6, and decreases sIL7R expression, which is indicative of a reduced risk for multiple sclerosis; or

detecting the presence of the risk allele at rs2523506 in the 5′ UTR of DDX39B, which reduces translation of DDX39B mRNAs and increases MS risk.

6. An assay comprising:

measuring an interaction between DDX39B rs2523506 and IL7R rs6897932 by:

obtaining a biological sample from a subject suspected of having an autoimmune disease; and

detecting in the biological sample an amount of a soluble Interleukin-7 receptor (sIL7R) and an amount of an RNA Helicase DDX39B, whereby higher expression of sIL7R and lower expression of DDX39B identifies the subject from which the biological sample was obtained as having an increased risk of developing an autoimmune disease, when compared to a human subject not having an autoimmune disease.

7. The assay of claim 6 , wherein the autoimmune disease is selected from Multiple sclerosis, Type I diabetes, Rheumatoid arthritis, Systemic lupus erythematosus, Atopic dermatitis, Ankylosing spondylitis, Primary biliary cirrhosis, or inflammatory bowel syndromes such as Ulcerative colitis and Crohn's disease.

8. The assay of claim 6 , wherein the levels of the sIL7R and RNA Helicase DDX39B are compared to a subject that does not have an autoimmune disease, wherein an increase in sIL7R or a decrease in RNA Helicase DDX39B, or both, are indicative of an increased risk of the subject having an autoimmune disease.

9. The assay of claim 6 , wherein the assay further comprises at least one of:

detecting a presence of the risk alleles at SNPs associated with multiple sclerosis in DDX39B and IL7R genes, at least one SNP selected from at least rs6897932 and rs2523506, or any allele in linkage disequilibrium with the DDX39B and IL7R MS risk alleles; a differential expression of IL7R RNA isoforms; a differential expression of IL7R protein isoforms; a differential expression of DDX39B RNA; a differential expression of DDX39B protein; or any combination thereof;

detecting allelic variants in DDX39B nucleic acids, which encodes an RNA helicase critical for inclusion of exon 6 in the Interleukin-7 receptor (IL7R) mRNA, whereby the presence of the risk A allele at the SNP rs2523506 in DDX39B exon 1 (5′ UTR of DDX39B mRNAs), or the presence of the complementary allele in the opposite strand, or the presence of any other allele in linkage disequilibrium with rs2523506, identifies the subject from which the biological sample was obtained as having multiple sclerosis or having an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNP rs2523506;

detecting allelic variants in DDX39B and the Interleukin-7 receptor (IL7R), whereby the presence of the risk A allele at the SNP rs2523506 in DDX39B exon 1 (5′ UTR of DDX39B mRNAs) and the presence of the risk C allele at the SNP rs6897932 in IL7R exon 6, or the presence of the complementary allele in the opposite strand, or the presence of any other allele in linkage disequilibrium with at least one of rs2523506 or rs6897932, identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506 and/or rs6897932;

detecting phenotypic differences in the expression of Interleukin-7 receptor (IL7R) mRNA isoforms, whereby an elevated fraction of IL7R mRNAs that lack exon 6 in the biological sample from an individual carrier of the risk alleles at rs6897932, rs2523506, or both, or any other variant in linkage disequilibrium with rs6897932 and/or rs2523506, or the presence of the complementary allele in the opposite strand, identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506 and/or rs6897932;

detecting phenotypic differences in the expression of Interleukin-7 receptor (IL7R) protein isoforms, whereby elevated levels of the soluble form of IL7R (sIL7R) in the biological sample from an individual carrier of the risk alleles rs6897932, rs2523506, or both, or the presence of the complementary allele in the opposite strand, or any other variant in linkage disequilibrium with rs6897932, rs2523506, or both identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506 and/or rs6897932;

detecting phenotypic differences in the expression of DDX39B protein in a subject suspected of having multiple sclerosis, whereby decreased expression of DDX39B protein in the biological sample identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a subject not suspected to have multiple sclerosis;

detecting phenotypic differences in the expression of DDX39B protein, whereby decreased expression of DDX39B protein in the biological sample from an individual carrier of the risk allele at rs2523506, or any other variant in linkage disequilibrium with rs2523506, identifies the subject from which the biological sample was obtained as having multiple sclerosis or an increased risk of developing multiple sclerosis, relative to a biological sample from a human subject lacking the risk allele at the SNPs rs2523506; or

wherein an allelic variant of the DDX39B gene is rs2523506 or any other variant in linkage disequilibrium.

10. The assay of claim 6 , wherein detecting sIL7R and RNA Helicase DDX39B nucleic acids is by a hybridization reaction, a polymerase chain reaction, restriction endonuclease digestion analysis, restriction fragment length polymorphism (RFLP) analysis, an amplification reaction, an isothermal amplification reaction, or a multiplex amplification reaction, a polymerase chain reaction (PCR) amplification reaction, a real-time quantitative polymerase chain reaction (qPCR) amplification reaction, a reverse transcriptase PCR (RT-PCR) amplification reaction, primer extension, DNA array technology, a linear amplification technique, a ligation reaction, direct sequencing, a sequencing reaction; or

detecting sIL7R and RNA Helicase DDX39B proteins is by LUMINEX, ELISA, immunoassay, mass spectrometry, high performance liquid chromatography, two-dimensional electrophoresis, Western blotting, flow cytometry, chemiluminescence immunoassay, a sandwich assay, a precipitin reaction, an immunoprecipitation reaction, a gel diffusion immunodiffusion assay, an agglutination assay, a fluorescent immunoassay, protein microarray, radioimmunoassay, or antibody microarray, or both.

11. The assay of claim 6 , comprises a display that shows differentiating between a subject having an increased risk of multiple sclerosis or as having multiple sclerosis.

12. The assay of claim 6 , wherein the assay detects at least one of: DDX39B protein binding to ESE2 that promotes inclusion of IL7R exon 6, and decreases sIL7R expression, which is indicative of a reduced risk for multiple sclerosis; or the presence of the risk allele at rs2523506 in the 5′ UTR of DDX39B, which reduces translation of DDX39B mRNAs and increases MS risk.

13. The assay of claim 6 , further comprising at least one of:

a container comprising a first agent for the detection of an amount of an RNA Helicase DDX39B, the sIL7R, or both; and instructions for determining the amount of the RNA Helicase DDX39B in a biological sample;

instructions for determining whether the amount of at least the first agent in a biological sample from a subject that has or is suspected of having an autoimmune disease is greater or lower than an amount in a biological sample from a subject that does not have or is not suspected of having an autoimmune disease;

reagents for detection of nucleic acids of the RNA Helicase DDX39B, the sIL7R, or both, by a hybridization reaction, a polymerase chain reaction, restriction endonuclease digestion analysis, restriction fragment length polymorphism (RFLP) analysis, an amplification reaction, an isothermal amplification reaction, or a multiplex amplification reaction, a polymerase chain reaction (PCR) amplification reaction, a real-time quantitative polymerase chain reaction (qPCR) amplification reaction, a reverse transcriptase PCR (RT-PCR) amplification reaction, primer extension, DNA array technology, a linear amplification technique, a ligation reaction, direct sequencing, a sequencing reaction, or a combination thereof;

reagents for detection of the RNA Helicase DDX39B in the biological sample by LUMINEX, ELISA, immunoassay, mass spectrometry, high performance liquid chromatography, two-dimensional electrophoresis, Western blotting, flow cytometry, chemiluminescence immunoassay, a sandwich assay, a precipitation reaction, an immunoprecipitation reaction, precipitin reaction, a gel diffusion immunodiffusion assay, an agglutination assay, a fluorescent immunoassay, protein microarray, radioimmunoassay, or antibody microarray; or

reagents for detection of a second agent, wherein the second agent is a pre-mRNA, RNA, or protein of the soluble IL7R or the membrane IL7R, and wherein the detection is at the nucleic acid or protein level.

14. A method of selecting for treatment a subject with an autoimmune disease caused by decreased levels of RNA Helicase DDX39B, increased levels of soluble interleukin-7 receptor (sIL7R), or both, comprising:

obtaining a biological sample;

detecting or measuring a level of expression of RNA Helicase DDX39B, sIL7R, or both in the biological sample, wherein a patient is selected for treatment if a higher secretion of sIL7R is detected, a decrease in the expression or activity of RNA Helicase DDX39B, or both; and

selecting a treatment for the subject that has decreased levels of RNA Helicase DDX39B, increased levels of Sil7R, or both when compared to a sample from a human subject not having an autoimmune disease and increased expression of sIL7R.

15. The method of claim 14 , wherein the step of detecting or measuring in the biological sample is at least one of:

detection of nucleic acids of the sIL7R, RNA Helicase DDX39B, or both by a hybridization reaction, a polymerase chain reaction, restriction endonuclease digestion analysis, restriction fragment length polymorphism (RFLP) analysis, an amplification reaction, an isothermal amplification reaction, or a multiplex amplification reaction, a polymerase chain reaction (PCR) amplification reaction, a real-time quantitative polymerase chain reaction (qPCR) amplification reaction, a reverse transcriptase PCR (RT-PCR) amplification reaction, primer extension, DNA array technology, a linear amplification technique, a ligation reaction, direct sequencing, a sequencing reaction, or a combination thereof; or

detecting or measuring in the biological sample sIL7R protein, RNA Helicase DDX39B protein, or both by LUMINEX, ELISA, immunoassay, mass spectrometry, high performance liquid chromatography, two-dimensional electrophoresis, Western blotting, chemiluminescence immunoassay, a sandwich assay, a precipitation reaction, an immunoprecipitation reaction, precipitin reaction, a gel diffusion immunodiffusion assay, an agglutination assay, a fluorescent immunoassay, protein microarray, radioimmunoassay, or antibody microarray.

16. The method of claim 1 , further comprising selecting a treatment selected from mitoxatrone, interferon beta-1a, PEG-interferon beta-1a, azathioprine, fingolimod, natalizumab, or methylprednisone.

17. The method of claim 14 , further comprising selecting a treatment selected from mitoxatrone, interferon beta-1a, PEG-interferon beta-1a, azathioprine, fingolimod, natalizumab, or methylprednisone.

Assignments (5)
CONFIRMATORY LICENSE Recorded Nov 2, 2023
From: UNIVERSITY OF TEXAS MED BR GALVESTON
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 065431/0410 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 12, 2021
From: GARCIA-BLANCO, MARIANO A.; GALARZA-MUNOZ, GADDIEL; BRADRIKC, SHELTON S.
To: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM
Reel/Frame 055895/0007 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 12, 2021
From: GREGORY, SIMON G.; KO, DENNIS C.; EVSYUKOVA, IRINA
To: DUKE UNIVERSITY
Reel/Frame 055895/0550 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 12, 2021
From: BRIGGS, FARREN B.S.
To: CASE WESTERN RESERVE UNIVERSITY
Reel/Frame 055895/0709 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 12, 2021
From: BARCELLOS, LISA F.
To: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, A CALIFORNIA PUBLIC CORPORATION
Reel/Frame 055986/0344 →
Continuity (3)
Division 15928939 · Mar 22, 2018
Provisional Application 62474951 · Mar 22, 2017
Related Publication 20210180133A1 · Jun 17, 2021
References Cited (70)
US 10961581B2 · Garcia-Blanco · 2021 [cited by examiner]
US 20150152474A1 · Pawlowski · 2015 [cited by examiner]
Otake et al. (Pedatr Blood Cancer, 2016, 63:221-227) (Year: 2016). [cited by examiner]
Allcock, et al., “The Central MHC Gene, BAT1, May Encode a Protein that Down-Regulates Cytokine Production”, Blackwell Science Limited, Genes to Cells, 2001, 6, 487-494. [cited by applicant]
Alves, et al., “Differential Regulation of Human IL-7 Receptor Expression by IL-7 and TCR Signaling1” The American Association of Immunologists, Inc., 2008, 0022-1767. [cited by applicant]
Anderson et al., “Meta-analysis identifies 29 Additional Ulcerative Colitis Risk Loci, Increasing the Number of Confirmed Associations to 47”, Nature Genetics, Mar. 2011, vol. 43, No. 3. [cited by applicant]
Badot et al., “Rheumatoid Arthritis Synovial Fibroblasts Produce a Soluble Form of the Interleukin-7 Receptor in Response to Pro-Inflammatory Cytokines”, Journal of Cellular and Molecular Medicne, doi: 10.1111/.1582-493… [cited by applicant]
Barrett et al. “Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes”, Nature Genetics vol. 41, No. 6, Jun. 2009. [cited by applicant]
Bilal et al., “Optimization of methods for the genetic modification of human T cells”, Immunology and Cell Biology (2015) 93, 896-908. [cited by applicant]
Briggs et al., Supervised machine learning and logistic regression identifies novel epistatic risk factors with PTPN22 for rheumatoid arthritis, Genes and Immunity (2010) 11, 199-208. [cited by applicant]
Browning et al., “A Unified Approach to Genotype Imputation and Haplotype-Phase Inference for Large Data Sets of Trios and Unrelated Individuals”, The American Journal of Human Genetics 84, 210-223, Feb. 13, 2009. [cited by applicant]
Cheong et al., “Localization of Central MHC Genes Influencing Type I Diabetes”, Human Immunology 62, 1363-1370 (2001). [cited by applicant]
Crawley et al., “Soluble IL-7Ra (sCD127) Inhibits IL-7 Activity and Is Increased in HIV Infection”, Copyright, 2010 by The American Association of Immunologists, Inc. 0022-1767/10. [cited by applicant]
W. de Bakker et al., “A high-resolution HLA and SNP haplotype map for disease association studies in the extended human MHC”, Nature Genetics, vol. 38, No. 10, Oct. 2006. [cited by applicant]
Degli-Esposti et al., “Ancestral Haplotypes Carry Haplotypic and Haplospecific Polymorphisms of BAT1: Possible Relevance To Autoimmune Disease”, European Journal of Immunogenetics (1992), 19, 121-127. [cited by applicant]
Dooms, “Interleukin-7: Fuel for the autoimmune attack”, Journal of Autoimmunity 45 (2013) 40-48. [cited by applicant]
Evsyukova et al., “Cleavage and polyadenylation specificity factor 1 (CPSF1) regulates alternative splicing of Interleukin 7 receptor (IL7R) exon 6”, RNA (2013), 19:00-00. Published by Cold Spring Harbor Laboratory Pres… [cited by applicant]
Fleckner et al., “U2AF 65 recruits a novel human DEAD box protein required for the U2 snRNP-branchpoint Interaction”, Genes & Development 11:1864-1872, 1997 by Cold Spring Harbor Laboratory Press ISSN 0890-9369/97. [cited by applicant]
Fry et al., “The Many Faces of IL-7: From Lymphopoiesis to Peripheral T Cell Maintenance”, Copyright © 2005 by The American Association of Immunologists, Inc., 0022-1767/05. [cited by applicant]
Gregory et al., “Interleukin 7 receptor a chain (IL7R) shows allelic and functional association with multiple sclerosis”, Nature Genetics, vol. 39—No. 9—Sep. 2007. [cited by applicant]
Hafler at al., “Risk Alleles for Multiple Sclerosis Identified by a Genomewide Study”, The New England Journal of medicine, Aug. 30, 2007, vol. 357, No. 9. [cited by applicant]
Hoe et al, “Functionally Significant Differences in Expression of Disease-Associated IL-7 Receptor a Haplotypes in CD4 T Cells and Dendritic Cells”, The Journal of Immunology, 0022-1767/2010. [cited by applicant]
Honig et al., “Regulation of Alternative Splicing by the ATP-Dependent DEAD-Box RNA Helicase p72”, Molecular and Cellular Biology, Aug. 2002, p. 5698-5707. [cited by applicant]
Huang et al., “DDX5 and its associated IncRNA Rmrp modulate Th17 cell effector functions”, 2 4 / 3 Dec. 1, 2015, vol. 528, Nature, 517. [cited by applicant]
The International HapMap Consortium, Nature, vol. 426, 18/25m Dec. 2003. [cited by applicant]
The International HapMap Consortium, “A haplotype map of the human genome”, Nature. Oct. 27, 2005; 437 (7063): 1299-1320. [cited by applicant]
The International HapMap Consortium, “A second generation human haplotype map of over 3.1 million SNPs”, Nature 06258, vol. 449, Oct. 8, 2007, doi:10.1038. [cited by applicant]
The International HIV Controllers Study, “The Major Genetic Determinants of HIV-1 Control Affect HLA Class I Peptide Presentation”, Science, Dec. 2010, 10; 330(6010): 1551-1557. [cited by applicant]
Yimia et al., “A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains”, Cell 159, 1511-1523, Dec. 18, 2014, 2014 Elsevier Inc. [cited by applicant]
Kaiser et al., “Activation of cap-independent translation by variant eukaryotic initiation factor 4G in vivo”, RNA (2008), 14:1-13. [cited by applicant]
Kilding et al., “Additional Genetic Susceptibility for Rheumatoid Arthritis Telomeric of the DRB1 Locus”, Arthritis & Rheumatism, vol. 50, No. 3, Mar. 2004, pp. 763-769. [cited by applicant]
Lauwerys et al., “sIL7R concentrations in the serum reflect disease activity in the lupus kidney”, Lupus Science and Medicine, 2014;1:e000036. doi:10.1136. [cited by applicant]
Lawson et al., “Interleukin-7 is required for CD4+ T cell activation and autoimmune neuroinflammation”, Clinical Immunology 161 (2015) 260-269. [cited by applicant]
Lundmark et al., “Variation in interleukin 7 receptor a chain (IL7R) influences risk of multiple sclerosis”, Nature Genetics, Jul. 29, 2007; doi:10.1038/ng2106. [cited by applicant]
Lundstrom et al., “Soluble IL7Ra potentiates IL-7 bioactivity and promotes autoimmunity”, PNAS Early Edition, 1 of 10, www.pnas.org/cgi/doi/10.1073/pnas.1222303110. [cited by applicant]
Luo et al., “Pre-mRNA splicing and mRNA export linked by direct interactions between UAP56 and Aly”, Letters to Nature, vol. 413, Oct. 11, 2001. [cited by applicant]
Maraskovsky et al., “Impaired survival and proliferation in IL-7 receptor-deficient peripheral T cells”, The Journal of Immunology, 1996; 157:5315-5323. [cited by applicant]
Masuda et al., “Recruitment of the human TREX complex to mRNA during splicing”, Genes and Development, 19:1512-1517. 2005. [cited by applicant]
Mazzucchelli et al., “Interleukin-7 receptor expression: intelligent design”, Nature Publishing group, vol. 7, Feb. 2007. [cited by applicant]
Monti et al., “Concentration and activity of the soluble form of the Interleukin-7 Receptor alpha in type I diabetes Identifies an interplay between hyperglycemia and immune function”, Diabetes Publish Ahead of Print, p… [cited by applicant]
Moutsianas et al., “Class II HLA interactions modulate genetic risk for multiple sclerosis”, Nature Genetics, vol. 47, No. 10, Oct. 2015. [cited by applicant]
Munitic et al., “Dynamic regulation of IL-7 receptor expression is required for normal thymopoiesis”, Immunobiology, Blood, Dec. 15, 2004, vol. 104, No. 13. [cited by applicant]
Nakamura et al., “Genome-wide Association Study Identifies TNFSF15 and POU2AF1 as Susceptibility Loci for Primary Biliary Cirrhosis in the Japanese Population”, The American Journal of Human Genetics, 91, 721-728, Oct. … [cited by applicant]
Okamoto et al., “Identification of IkBL as the Second Major Histocompatibility Complex-Linked Susceptibility Locus for Rheumatoid Arthritis”, Am. J. Hum. Genet. 72:303-312, 2003. [cited by applicant]
Park et al., “Suppression of IL7R Transcription by IL-7 and Other Prosurvival Cytokines: A Novel Mechanism for Maximizing IL-7-Dependent T Cell Survival”, Immunity, vol. 21, 289-302, Aug. 2004. [cited by applicant]
Paternoster et al., “Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis”, Nature Genetics, vol. 44, No. 2, Feb. 2012. [cited by applicant]
UTMB1046 IDS SB08-Part 2, 011519. [cited by applicant]
Transmittal IDS Part 2, 011519. [cited by applicant]
Patsopoulos et al., “Genome-Wide Meta-Analysis Identifies Novel Multiple Sclerosis Susceptibility Loci”, American Neurological Association, 2011, vol. 70, No. 6. [cited by applicant]
Patsopoulos et al., “Fine-Mapping the Genetic Association of the Major Histocompatibility Complex in Multiple Sclerosis: HLA and Non-HLA Effects”, PLOS Genetics, Nov. 2013, vol. 9, Issue 11. [cited by applicant]
Perdigones et al., “Evidence of Epistasis Between TNFRSF14 and TNFRSF6B Polymorphisms in Patients With Rheumatoid Arthritis”, Arthritis and Rheumatism, vol. 62, No. 3, Mar. 2010, pp. 705-710. [cited by applicant]
Peschon et al., “Early Lymphocyte Expansion Is Severely Impaired in Interleukin 7 Receptor-deficient Mice”, J. Exp. Med., vol. 180, Nov. 1994, pp. 1955-1960. [cited by applicant]
Price et al., “Polymorphisms at positions -22 and -348 in the promoter of the BAT1 gene affect transcription and the binding of nuclear factors”, Human Molecular Genetics, 2004, vol. 13, No. 9, pp. 967-974. [cited by applicant]
Puel, A., et al., “Defective IL7R expression in T(−)B(+)NK(+) severe combined immunodeficiency.” Nature genetics (1998), 20:394-397. [cited by applicant]
Purcell, S., et al., “PLINK: a tool set for whole-genome association and population-based linkage analyses.” American journal of human genetics (2007), 81:559-575. [cited by applicant]
Quinones-Lombrana, A., et al., “BAT1 promoter polymorphism is associated with rheumatoid arthritis susceptibility.” J Rheumatol (2008), 35:741-744. [cited by applicant]
Raychaudhuri, S., et al., “Five amino acids in three HLA proteins explain most of the association between MHC and seropositive rheumatoid arthritis.” Nature genetics (2012), 44:291-296. [cited by applicant]
Roifman, C.M., et al., “A partial deficiency of interleukin-7R alpha is sufficient to abrogate T-cell development and cause severe combined immunodeficiency.” Blood (2000), 96:2803-2807. [cited by applicant]
Shahbazi, M., et al., “Interaction of HLA-DRB1*1501 allele and TNF-alpha -308 G/A single nucleotide polymorphism in the susceptibility to multiple sclerosis.” Clin Immunol (2011), 139:277-281. [cited by applicant]
Shen, H., et al., “Distinct activities of the DExD/H-box splicing factor hUAP56 facilitate stepwise assembly of the spliceosome.” Genes Dev (2008), 22:1796-1803. [cited by applicant]
Shen, J., et al., “Biochemical characterization of the ATPase and helicase activity of UAP56, an essential pre-mRNA splicing and mRNA export factor.” J Biol Chem (2007), 282:22544-22550. [cited by applicant]
Sospedra, M., et al., “Immunology of multiple sclerosis.” Annual review of immunology (2005), 23:683-747. [cited by applicant]
Strasser, K., et al., “TREX is a conserved complex coupling transcription with messenger RNA export.” Nature (2002), 417:304-308. [cited by applicant]
Teigelkamp, S., et al., “The human U5 snRNP-specific 100-kD protein is an RS domain-containing, putative RNA helicase with significant homology to the yeast splicing factor Prp28p.” RNA (1997), 3:1313-1326. [cited by applicant]
Todd, J.A., et al., “Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes.” Nature genetics (2007), 39:857-864. [cited by applicant]
Wagner, E.J., et al., “RNAi-mediated PTB depletion leads to enhanced exon definition.” Mol Cell (2002), 10:943-949. [cited by applicant]
Wong, A.M., et al., “Alleles of the proximal promoter of BAT1, a putative anti-inflammatory gene adjacent to the TNF cluster, reduce transcription on a disease-associated MHC haplotype.” Genes Cells (2003), 8:403-412. [cited by applicant]
Wu, L., et al., “Variation and genetic control of protein abundance in humans.” Nature (2013), 499:79-82. [cited by applicant]
Yuan, Y., et al., “Analysis of genome-wide RNA-sequencing data suggests age of the CEPH/Utah (CEU) lymphoblastoid cell lines systematically biases gene expression profiles.” Sci Rep (2015), 5:7960. [cited by applicant]
Zhou, X.J., et al., “Gene-gene interaction of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in systemic lupus erythematosus.” Arthritis and rheumatism (2012), 64:222-231. [cited by applicant]