BACKGROUND: Common variable immunodeficiency (CVID) is a heterogeneous immune defect characterized by hypogammaglobulinemia, failure of specific antibody production, susceptibility to infections, and an array of comorbidities. OBJECTIVE: To address the underlying immunopathogenesis of CVID and comorbidities, we conducted the first genome-wide association and gene copy number variation (CNV) study in patients with CVID. METHODS: Three hundred sixty-three patients with CVID from 4 study sites were genotyped with 610,000 single nucleotide polymorphisms (SNPs). Patients were divided into a discovery cohort of 179 cases in comparison with 1,917 control subjects and a replication cohort of 109 cases and 1,114 control subjects. RESULTS: Our analyses detected strong association with the MHC region and association with a disintegrin and metalloproteinase (ADAM) genes (P combined = 1.96 × 10(-7)) replicated in the independent cohort. CNV analysis defined 16 disease-associated deletions and duplications, including duplication of origin recognition complex 4L (ORC4L) that was unique to 15 cases (P = 8.66 × 10(-16)), as well as numerous unique rare intraexonic deletions and duplications suggesting multiple novel genetic causes of CVID. Furthermore, the 1,000 most significant SNPs were strongly predictive of the CVID phenotype by using a Support Vector Machine algorithm with positive and negative predictive values of 1.0 and 0.957, respectively. CONCLUSION: Our integrative genome-wide analysis of SNP genotypes and CNVs has uncovered multiple novel susceptibility loci for CVID, both common and rare, which is consistent with the highly heterogeneous nature of CVID. These results provide new mechanistic insights into immunopathogenesis based on these unique genetic variations and might allow for improved diagnosis of CVID based on accurate prediction of the CVID clinical phenotypes by using our Support Vector Machine model.
BACKGROUND: Common variable immunodeficiency (CVID) is a heterogeneous immune defect characterized by hypogammaglobulinemia, failure of specific antibody production, susceptibility to infections, and an array of comorbidities. OBJECTIVE: To address the underlying immunopathogenesis of CVID and comorbidities, we conducted the first genome-wide association and gene copy number variation (CNV) study in patients with CVID. METHODS: Three hundred sixty-three patients with CVID from 4 study sites were genotyped with 610,000 single nucleotide polymorphisms (SNPs). Patients were divided into a discovery cohort of 179 cases in comparison with 1,917 control subjects and a replication cohort of 109 cases and 1,114 control subjects. RESULTS: Our analyses detected strong association with the MHC region and association with a disintegrin and metalloproteinase (ADAM) genes (P combined = 1.96 × 10(-7)) replicated in the independent cohort. CNV analysis defined 16 disease-associated deletions and duplications, including duplication of origin recognition complex 4L (ORC4L) that was unique to 15 cases (P = 8.66 × 10(-16)), as well as numerous unique rare intraexonic deletions and duplications suggesting multiple novel genetic causes of CVID. Furthermore, the 1,000 most significant SNPs were strongly predictive of the CVID phenotype by using a Support Vector Machine algorithm with positive and negative predictive values of 1.0 and 0.957, respectively. CONCLUSION: Our integrative genome-wide analysis of SNP genotypes and CNVs has uncovered multiple novel susceptibility loci for CVID, both common and rare, which is consistent with the highly heterogeneous nature of CVID. These results provide new mechanistic insights into immunopathogenesis based on these unique genetic variations and might allow for improved diagnosis of CVID based on accurate prediction of the CVID clinical phenotypes by using our Support Vector Machine model.
Authors: K N Broadley; A M Aquino; S C Woodward; A Buckley-Sturrock; Y Sato; D B Rifkin; J M Davidson Journal: Lab Invest Date: 1989-11 Impact factor: 5.662
Authors: Lance C Bridges; Patricia H Tani; Krista R Hanson; Charles M Roberts; Matthew B Judkins; Ron D Bowditch Journal: J Biol Chem Date: 2001-11-27 Impact factor: 5.157
Authors: Ulrich Salzer; Andrea Maul-Pavicic; Charlotte Cunningham-Rundles; Simon Urschel; Bernd H Belohradsky; Jiri Litzman; Are Holm; José Luis Franco; Alessandro Plebani; Lennart Hammarstrom; Andrea Skrabl; Wolfgang Schwinger; Bodo Grimbacher Journal: Clin Immunol Date: 2004-12 Impact factor: 3.969
Authors: Bodo Grimbacher; Andreas Hutloff; Michael Schlesier; Erik Glocker; Klaus Warnatz; Ruth Dräger; Hermann Eibel; Beate Fischer; Alejandro A Schäffer; Hans W Mages; Richard A Kroczek; Hans H Peter Journal: Nat Immunol Date: 2003-02-10 Impact factor: 25.606
Authors: J E Volanakis; Z B Zhu; F M Schaffer; K J Macon; J Palermos; B O Barger; R Go; R D Campbell; H W Schroeder; M D Cooper Journal: J Clin Invest Date: 1992-06 Impact factor: 14.808
Authors: Martha M Monick; Rama K Mallampalli; Mary Bradford; Diann McCoy; Thomas J Gross; Dawn M Flaherty; Linda S Powers; Kelli Cameron; Samuel Kelly; Alfred H Merrill; Gary W Hunninghake Journal: J Immunol Date: 2004-07-01 Impact factor: 5.422
Authors: Francisco A Bonilla; Isil Barlan; Helen Chapel; Beatriz T Costa-Carvalho; Charlotte Cunningham-Rundles; M Teresa de la Morena; Francisco J Espinosa-Rosales; Lennart Hammarström; Shigeaki Nonoyama; Isabella Quinti; John M Routes; Mimi L K Tang; Klaus Warnatz Journal: J Allergy Clin Immunol Pract Date: 2015-11-07
Authors: Krishna M Roskin; Noa Simchoni; Yi Liu; Ji-Yeun Lee; Katie Seo; Ramona A Hoh; Tho Pham; Joon H Park; David Furman; Cornelia L Dekker; Mark M Davis; Judith A James; Kari C Nadeau; Charlotte Cunningham-Rundles; Scott D Boyd Journal: Sci Transl Med Date: 2015-08-26 Impact factor: 17.956
Authors: M Keller; J Glessner; E Resnick; E Perez; H Chapel; M Lucas; K E Sullivan; C Cunningham-Rundles; J S Orange; H Hakonarson Journal: Clin Exp Immunol Date: 2014-07 Impact factor: 4.330
Authors: E A L Bateman; L Ayers; R Sadler; M Lucas; C Roberts; A Woods; K Packwood; J Burden; D Harrison; N Kaenzig; M Lee; H M Chapel; B L Ferry Journal: Clin Exp Immunol Date: 2012-11 Impact factor: 4.330
Authors: Asbjørg Stray-Pedersen; Hanne Sørmo Sorte; Pubudu Samarakoon; Tomasz Gambin; Ivan K Chinn; Zeynep H Coban Akdemir; Hans Christian Erichsen; Lisa R Forbes; Shen Gu; Bo Yuan; Shalini N Jhangiani; Donna M Muzny; Olaug Kristin Rødningen; Ying Sheng; Sarah K Nicholas; Lenora M Noroski; Filiz O Seeborg; Carla M Davis; Debra L Canter; Emily M Mace; Timothy J Vece; Carl E Allen; Harshal A Abhyankar; Philip M Boone; Christine R Beck; Wojciech Wiszniewski; Børre Fevang; Pål Aukrust; Geir E Tjønnfjord; Tobias Gedde-Dahl; Henrik Hjorth-Hansen; Ingunn Dybedal; Ingvild Nordøy; Silje F Jørgensen; Tore G Abrahamsen; Torstein Øverland; Anne Grete Bechensteen; Vegard Skogen; Liv T N Osnes; Mari Ann Kulseth; Trine E Prescott; Cecilie F Rustad; Ketil R Heimdal; John W Belmont; Nicholas L Rider; Javier Chinen; Tram N Cao; Eric A Smith; Maria Soledad Caldirola; Liliana Bezrodnik; Saul Oswaldo Lugo Reyes; Francisco J Espinosa Rosales; Nina Denisse Guerrero-Cursaru; Luis Alberto Pedroza; Cecilia M Poli; Jose L Franco; Claudia M Trujillo Vargas; Juan Carlos Aldave Becerra; Nicola Wright; Thomas B Issekutz; Andrew C Issekutz; Jordan Abbott; Jason W Caldwell; Diana K Bayer; Alice Y Chan; Alessandro Aiuti; Caterina Cancrini; Eva Holmberg; Christina West; Magnus Burstedt; Ender Karaca; Gözde Yesil; Hasibe Artac; Yavuz Bayram; Mehmed Musa Atik; Mohammad K Eldomery; Mohammad S Ehlayel; Stephen Jolles; Berit Flatø; Alison A Bertuch; I Celine Hanson; Victor W Zhang; Lee-Jun Wong; Jianhong Hu; Magdalena Walkiewicz; Yaping Yang; Christine M Eng; Eric Boerwinkle; Richard A Gibbs; William T Shearer; Robert Lyle; Jordan S Orange; James R Lupski Journal: J Allergy Clin Immunol Date: 2016-07-16 Impact factor: 10.793