Literature DB >> 17476268

Genetic linkage analysis of sarcoidosis phenotypes: the sarcoidosis genetic analysis (SAGA) study.

B A Rybicki1, R Sinha, S Iyengar, C Gray-McGuire, R C Elston, M C Iannuzzi.   

Abstract

The sarcoidosis genetic analysis (SAGA) study previously identified eight chromosomal regions with suggestive evidence for linkage to sarcoidosis susceptibility in African-American sib pairs. Since the clinical course of sarcoidosis is variable and likely under genetic control, we used the affected relative pair portion of the SAGA sample (n=344 pairs) to perform multipoint linkage analyses with covariates based on pulmonary and organ involvement phenotypes. Chest radiographic resolution was the pulmonary phenotype with the highest LOD (logarithm of the backward odds, or likelihood ratio) score of 5.11 at D1S3720 on chromosome 1p36 (P=4 x 10(-5)). In general, higher LOD scores were attained for covariates that modeled clustered organ system involvement rather than individual organ systems, with the cardiac/renal group having the highest LOD score of 6.65 at chromosome 18q22 (P=2 x 10(-5)). The highest LOD scores for the other three organ involvement groups of liver/spleen/bone marrow, neuro/lymph and ocular/skin/joint were 3.72 at 10p11 (P=0.0004), 5.16 at 7p22 (P=4 x 10(-5)) and 2.93 at 10q26 (P=0.001), respectively. Most of the phenotype linkages did not overlap with the regions previously found linked to susceptibility. Our results suggest that genes influencing clinical presentation of sarcoidosis in African Americans are likely to be different from those that underlie disease susceptibility.

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Mesh:

Year:  2007        PMID: 17476268     DOI: 10.1038/sj.gene.6364396

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  12 in total

Review 1.  [Sarcoidosis : Renal manifestations].

Authors:  C Löffler; R Bergner
Journal:  Z Rheumatol       Date:  2017-06       Impact factor: 1.372

Review 2.  Neuro-ophthalmic sarcoidosis.

Authors:  Robert P Baughman; Kenneth L Weiss; Karl C Golnik
Journal:  Eye Brain       Date:  2012-03-13

3.  Whole-exome sequencing identifies rare genetic variations in German families with pulmonary sarcoidosis.

Authors:  Amit Kishore; Britt-Sabina Petersen; Marcel Nutsua; Joachim Müller-Quernheim; Andre Franke; Annegret Fischer; Stefan Schreiber; Martin Petrek
Journal:  Hum Genet       Date:  2018-07-27       Impact factor: 4.132

4.  [Genetic risk profile of sarcoidosis].

Authors:  A Fischer; G Zissel; A Nebel; J Müller-Quernheim
Journal:  Internist (Berl)       Date:  2014-02       Impact factor: 0.743

Review 5.  Identifying Novel Biomarkers in Sarcoidosis Using Genome-Based Approaches.

Authors:  Nancy Casanova; Tong Zhou; Kenneth S Knox; Joe G N Garcia
Journal:  Clin Chest Med       Date:  2015-09-26       Impact factor: 2.878

6.  Genome-Wide Association Study of Ocular Sarcoidosis Confirms HLA Associations and Implicates Barrier Function and Autoimmunity in African Americans.

Authors:  Lori Garman; Nathan Pezant; Ambra Pastori; Kathryn A Savoy; Chuang Li; Albert M Levin; Michael C Iannuzzi; Benjamin A Rybicki; Indra Adrianto; Courtney G Montgomery
Journal:  Ocul Immunol Inflamm       Date:  2020-03-06       Impact factor: 3.070

7.  A genome-wide admixture scan for ancestry-linked genes predisposing to sarcoidosis in African-Americans.

Authors:  B A Rybicki; A M Levin; P McKeigue; I Datta; C Gray-McGuire; M Colombo; D Reich; R R Burke; M C Iannuzzi
Journal:  Genes Immun       Date:  2010-12-23       Impact factor: 2.676

Review 8.  [Artificial intelligence empowers laboratory medicine in Industry 4.0].

Authors:  Quan Zhou; Suwen Qi; Bin Xiao; Qiaoliang Li; Zhaohui Sun; Linhai Li
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2020-02-29

9.  Fine mapping of chromosome 15q25 implicates ZNF592 in neurosarcoidosis patients.

Authors:  Caleb A Lareau; Indra Adrianto; Albert M Levin; Michael C Iannuzzi; Benjamin A Rybicki; Courtney G Montgomery
Journal:  Ann Clin Transl Neurol       Date:  2015-07-31       Impact factor: 4.511

10.  The null distribution of likelihood-ratio statistics in the conditional-logistic linkage model.

Authors:  Yeunjoo E Song; Robert C Elston
Journal:  Front Genet       Date:  2013-11-19       Impact factor: 4.599

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