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171 Hidradenitis suppurativa genome-wide association study [Meeting Abstract]

Khan, A; Lu, C P; Hayes, M; Connolly, J; Mentch, F; Sleiman, P; Hakonarson, H; Mukherjee, E; Weng, C; Hripcsak, G; Kiryluk, K; Wheless, L; Petukhova, L
Hidradenitis suppurativa (HS) is a prevalent inflammatory skin disease. HS causes deep, painful, recurrent abscesses. African Americans and females are at an increased risk. A lack of effective therapies and limited knowledge about HS pathogenesis contribute to unmet needs. Unlike other common inflammatory skin diseases, there has never been a genome-wide association study (GWAS) conducted for HS. Here, we performed a first GWAS for HS using data from the eMERGE network of electronic health record linked biorepositories (project NT227). We used HS diagnosis codes to identify cases and controls. We estimated ancestry with principal component analysis using a set of 40,156 SNPs. Our final cohort consisted of 600 HS cases and 82,611 controls with comparable multi-ethnic ancestry (lambda=1.005). Our cohort recapitulated HS race and gender predilections with genetically African female participants accounting for 35% of cases, but only 10% of controls. Genotype data for 6 million variants was tested for association, adjusting for five principal components. No locus exceeded our threshold for statistical significance. Importantly, there was no evidence for HLA association supporting classification of HS as inflammatory rather than autoimmune. Several loci approached the significance threshold, suggesting that an expansion in cohort size is needed to provide adequate power to detect associations. Interestingly, the lead SNP at one of the most significant loci (rs11075745; p=8x10-7) is an eQTL for NFAT5, a mediator of NOTCH signaling whose expression is downregulated in HS lesional skin relative to patient-matched nonlesional skin. The risk allele influences expression in tissue specific manner. Our group is constructing multi-ethnic replication cohorts that will allow us to expand this study in the near future.
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EMBASE:2011607800
ISSN: 1523-1747
CID: 4857662

Blockade of IL-7 signaling suppresses inflammatory responses and reverses alopecia areata in C3H/HeJ mice

Dai, Zhenpeng; Wang, Eddy Hsi Chun; Petukhova, Lynn; Chang, Yuqian; Lee, Eunice Yoojin; Christiano, Angela M
The interleukin-7 (IL-7) signaling pathway plays an important role in regulation of T cell function and survival. We detected overexpression of IL-7 in lesional skin from both humans and C3H/HeJ mice with alopecia areata (AA), a T cell-mediated autoimmune disease of the hair follicle. We found that exogenous IL-7 accelerated the onset of AA by augmenting the expansion of alopecic T cells. Conversely, blockade of IL-7 stopped the progression of AA and reversed early AA in C3H/HeJ mice. Mechanistically, we observed that IL-7Rα blockade substantially reduced the total number of most T cell subsets, but relative sparing of regulatory T cells (Tregs). We postulated that short-term anti-IL-7Rα treatment in combination with a low dose of Treg-tropic cytokines might improve therapeutic efficacy in AA. We demonstrated that short-term IL-7Rα blockade in combination with low doses of Treg-tropic cytokines enhanced therapeutic effects in the treatment of AA, and invite further clinical investigation.
PMCID:11060042
PMID: 33811067
ISSN: 2375-2548
CID: 5710562

An Imperative Need for Further Genetic Studies of Alopecia Areata

Petukhova, Lynn
Human genetic studies of diseases that are multifactorial and prevalent have generated a wealth of knowledge about the genetic architecture of chronic diseases. Generalizable attributes are shaping the development of models to explain how the human genome influences our health and can be leveraged to improve it. Importantly, both rare and common genetic variants contribute to disease risk and provide complementary information. Although initial genetic studies of alopecia areata have yielded insight with high clinical impact, there remains a number of important unanswered questions pertaining to disease biology and patient care that could be addressed by further genetic investigations.
PMCID:7594098
PMID: 33099379
ISSN: 1529-1774
CID: 5710542

Integrative analysis of rare copy number variants and gene expression data in alopecia areata implicates an aetiological role for autophagy

Petukhova, Lynn; Patel, Aakash V; Rigo, Rachel K; Bian, Li; Verbitsky, Miguel; Sanna-Cherchi, Simone; Erjavec, Stephanie O; Abdelaziz, Alexa R; Cerise, Jane E; Jabbari, Ali; Christiano, Angela M
Alopecia areata (AA) is a highly prevalent autoimmune disease that attacks the hair follicle and leads to hair loss that can range from small patches to complete loss of scalp and body hair. Our previous linkage and genome-wide association studies (GWAS) generated strong evidence for aetiological contributions from inherited genetic variants at different population frequencies, including both rare mutations and common polymorphisms. Additionally, we conducted gene expression (GE) studies on scalp biopsies of 96 patients and controls to establish signatures of active disease. In this study, we performed an integrative analysis on these two datasets to test the hypothesis that rare CNVs in patients with AA could be leveraged to identify drivers of disease in our AA GE signatures. We analysed copy number variants (CNVs) in a case-control cohort of 673 patients with AA and 16 311 controls independent of the case-control cohort of 96 research participants used in our GE study. Using an integrative computational analysis, we identified 14 genes whose expression levels were altered by CNVs in a consistent direction of effect, corresponding to gene expression changes in lesional skin of patients. Four of these genes were affected by CNVs in three or more unrelated patients with AA, including ATG4B and SMARCA2, which are involved in autophagy and chromatin remodelling, respectively. Our findings identified new classes of genes with potential contributions to AA pathogenesis.
PMCID:7213039
PMID: 31169925
ISSN: 1600-0625
CID: 5710522

Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization

Robinson, Jamie R; Carroll, Robert J; Bastarache, Lisa; Chen, Qingxia; Mou, Zongyang; Wei, Wei-Qi; Connolly, John J; Mentch, Frank; Sleiman, Patrick; Crane, Paul K; Hebbring, Scott J; Stanaway, Ian B; Crosslin, David R; Gordon, Adam S; Rosenthal, Elisabeth A; Carrell, David; Hayes, M Geoffrey; Wei, Wei; Petukhova, Lynn; Namjou, Bahram; Zhang, Ge; Safarova, Maya S; Walton, Nephi A; Still, Christopher; Bottinger, Erwin P; Loos, Ruth J F; Murphy, Shawn N; Jackson, Gretchen P; Kullo, Iftikhar J; Hakonarson, Hakon; Jarvik, Gail P; Larson, Eric B; Weng, Chunhua; Roden, Dan M; Denny, Joshua C
BACKGROUND:The extent to which obesity and genetics determine postoperative complications is incompletely understood. METHODS:We performed a retrospective study using two population cohorts with electronic health record (EHR) data. The first included 736,726 adults with body mass index (BMI) recorded between 1990 and 2017 at Vanderbilt University Medical Center. The second cohort consisted of 65,174 individuals from 12 institutions contributing EHR and genome-wide genotyping data to the Electronic Medical Records and Genomics (eMERGE) Network. Pairwise logistic regression analyses were used to measure the association of BMI categories with postoperative complications derived from International Classification of Disease-9 codes, including postoperative infection, incisional hernia, and intestinal obstruction. A genetic risk score was constructed from 97 obesity-risk single-nucleotide polymorphisms for a Mendelian randomization study to determine the association of genetic risk of obesity on postoperative complications. Logistic regression analyses were adjusted for sex, age, site, and race/principal components. RESULTS:). Association findings were similar after limitation of the cohorts to those who underwent abdominal procedures. CONCLUSIONS:Clinical and Mendelian randomization studies suggest that obesity, as measured by BMI, is associated with the development of postoperative incisional hernia and infection.
PMID: 31605180
ISSN: 1432-2323
CID: 5710532

Genome-wide association study of hidradenitis suppurativa in a multi-ethnic cohort [Meeting Abstract]

Khan, Atlas; Hayes, M. Geoffrey; Connolly, John; Mentch, Frank; Sleiman, Patrick; Hakonarson, Hakon; Denny, Joshua; Wang, Chunhua; Hripcsak, George; Kiryluk, Krzysztof; Petukhova, Lynn
ISI:000550287000063
ISSN: 0906-6705
CID: 5713782

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network

[Zouk, Hana; Venner, Eric; Lennon, Niall J; Muzny, Donna M; Abrams, Debra; Adunyah, Samuel; Albertson-Junkans, Ladia; Ames, Darren C; Appelbaum, Paul; Aronson, Samuel; Aufox, Sharon; Babb, Lawrence J; Balasubramanian, Adithya; Bangash, Hana; Basford, Melissa; Bastarache, Lisa; Baxter, Samantha; Behr, Meckenzie; Benoit, Barbara; Bhoj, Elizabeth; Bielinski, Suzette J; Bland, Sarah T; Blout, Carrie; Borthwick, Kenneth; Bottinger, Erwin P; Bowser, Mark; Brand, Harrison; Brilliant, Murray; Brodeur, Wendy; Caraballo, Pedro; Carrell, David; Carroll, Andrew; Almoguera, Berta; Castillo, Lisa; Castro, Victor; Chandanavelli, Gauthami; Chiang, Theodore; Chisholm, Rex L; Christensen, Kurt D; Chung, Wendy; Chute, Christopher G; City, Brittany; Cobb, Beth L; Connolly, John J; Crane, Paul; Crew, Katherine; Crosslin, David; De Andrade, Mariza; De la Cruz, Jessica; Denson, Shawn; Denny, Josh; DeSmet, Tim; Dikilitas, Ozan; Friedrich, Christopher; Fullerton, Stephanie M; Funke, Birgit; Gabriel, Stacey; Gainer, Vivian; Gharavi, Ali; Glazer, Andrew M; Glessner, Joseph T; Goehringer, Jessica; Gordon, Adam S; Graham, Chet; Green, Robert C; Gundelach, Justin H; Dayal, Jyoti; Hain, Heather S; Hakonarson, Hakon; Harden, Maegan V; Harley, John; Harr, Margaret; Hartzler, Andrea; Hayes, M Geoffrey; Hebbring, Scott; Henrikson, Nora; Hershey, Andrew; Hoell, Christin; Holm, Ingrid; Howell, Kayla M; Hripcsak, George; Hu, Jianhong; Jarvik, Gail P; Jayaseelan, Joy C; Jiang, Yunyun; Joo, Yoonjung Yoonie; Jose, Sheethal; Josyula, Navya Shilpa; Justice, Anne E; Kalla, Sara E; Kalra, Divya; Karlson, Elizabeth; Kelly, Melissa A; Keating, Brendan J; Kenny, Eimear E; Key, Dustin; Kiryluk, Krzysztof; Kitchner, Terrie; Klanderman, Barbara; Klee, Eric; Kochan, David C; Korchina, Viktoriya; Kottyan, Leah; Kovar, Christie; Kudalkar, Emily; Kullo, Iftikhar J; Lammers, Philip; Larson, Eric B; Lebo, Matthew S; Leduc, Magalie; Lee, Ming Ta Michael; Leppig, Kathleen A; Leslie, Nancy D; Li, Rongling; Liang, Wayne H; Lin, Chiao-Feng; Linder, Jodell; Lindor, Noralane M; Lingren, Todd; Linneman, James G; Liu, Cong; Liu, Wen; Liu, Xiuping; Lynch, John; Lyon, Hayley; Macbeth, Alyssa; Mahadeshwar, Harshad; Mahanta, Lisa; Malin, Brad; Manolio, Teri; Marasa, Maddalena; Marsolo, Keith; Dinsmore, Michael J; Dodge, Sheila; Hynes, Elizabeth Duffy; Dunlea, Phil; Edwards, Todd L; Eng, Christine M; Fasel, David; Fedotov, Alex; Feng, Qiping; Fleharty, Mark; Foster, Andrea; Freimuth, Robert; McGowan, Michelle L; McNally, Elizabeth; Meldrim, Jim; Mentch, Frank; Mosley, Jonathan; Mukherjee, Shubhabrata; Mullen, Thomas E; Muniz, Jesse; Murdock, David R; Murphy, Shawn; Murugan, Mullai; Myers, Melanie F; Namjou, Bahram; Ni, Yizhao; Obeng, Aniwaa Owusu; Onofrio, Robert C; Taylor, Casey Overby; Person, Thomas N; Peterson, Josh F; Petukhova, Lynn; Pisieczko, Cassandra J; Pratap, Siddharth; Prows, Cynthia A; Puckelwartz, Megan J; Rahm, Alanna Kulchak; Raj, Ritika; Ralston, James D; Ramaprasan, Arvind; Ramirez, Andrea; Rasmussen, Luke; Rasmussen-Torvik, Laura; Rasouly, Hila Milo; Raychaudhuri, Soumya; Ritchie, Marylyn D; Rives, Catherine; Riza, Beenish; Roden, Dan; Rosenthal, Elisabeth A; Santani, Avni; Schaid, Dan; Scherer, Steven; Scott, Stuart; Scrol, Aaron; Sengupta, Soumitra; Shang, Ning; Sharma, Himanshu; Sharp, Richard R; Singh, Rajbir; Sleiman, Patrick M A; Slowik, Kara; Smith, Joshua C; Smith, Maureen E; Smoller, Jordan W; Sohn, Sunghwan; Stanaway, Ian B; Starren, Justin; Stroud, Mary; Su, Jessica; Tolwinski, Kasia; Van Driest, Sara L; Vargas, Sean M; Varugheese, Matthew; Veenstra, David; Verbitsky, Miguel; Vicente, Gina; Wagner, Michael; Walker, Kimberly; Walunas, Theresa; Wang, Liwen; Wang, Qiaoyan; Wei, Wei-Qi; Weiss, Scott T; Wiesner, Georgia L; Wells, Quinn; Weng, Chunhua; White, Peter S; Wiley, Ken L Jr; Williams, Janet L; Williams, Marc S; Wilson, Michael W; Witkowski, Leora; Woods, Laura Allison; Woolf, Betty; Wu, Tsung-Jung; Wynn, Julia; Yang, Yaping; Yi, Victoria; Zhang, Ge; Zhang, Lan; Rehm, Heidi L; Gibbs, Richard A]
The advancement of precision medicine requires new methods to coordinate and deliver genetic data from heterogeneous sources to physicians and patients. The eMERGE III Network enrolled >25,000 participants from biobank and prospective cohorts of predominantly healthy individuals for clinical genetic testing to determine clinically actionable findings. The network developed protocols linking together the 11 participant collection sites and 2 clinical genetic testing laboratories. DNA capture panels targeting 109 genes were used for testing of DNA and sample collection, data generation, interpretation, reporting, delivery, and storage were each harmonized. A compliant and secure network enabled ongoing review and reconciliation of clinical interpretations, while maintaining communication and data sharing between clinicians and investigators. A total of 202 individuals had positive diagnostic findings relevant to the indication for testing and 1,294 had additional/secondary findings of medical significance deemed to be returnable, establishing data return rates for other testing endeavors. This study accomplished integration of structured genomic results into multiple electronic health record (EHR) systems, setting the stage for clinical decision support to enable genomic medicine. Further, the established processes enable different sequencing sites to harmonize technical and interpretive aspects of sequencing tests, a critical achievement toward global standardization of genomic testing. The eMERGE protocols and tools are available for widespread dissemination.
PMCID:6731372
PMID: 31447099
ISSN: 1537-6605
CID: 5479312

Specimen Collection for Translational Studies in Hidradenitis Suppurativa

Byrd, A S; Dina, Y; Okoh, U J; Quartey, Q Q; Carmona-Rivera, C; Williams, D W; Kerns, M L; Miller, R J; Petukhova, L; Naik, H B; Barnes, L A; Shipman, W D; Caffrey, J A; Sacks, J M; Milner, S M; Aliu, O; Broderick, K P; Kim, D; Liu, H; Dillen, C A; Ahn, R; Frew, J W; Kaplan, M J; Kang, S; Garza, L A; Miller, L S; Alavi, A; Lowes, M A; Okoye, G A
Hidradenitis suppurativa (HS) is a chronic inflammatory disorder characterized by painful nodules, sinus tracts, and scars occurring predominantly in intertriginous regions. The prevalence of HS is currently 0.053-4%, with a predominance in African-American women and has been linked to low socioeconomic status. The majority of the reported literature is  retrospective, population based, epidemiologic studies. In this regard, there is a need to establish a repository of biospecimens, which represent appropriate gender and racial demographics amongst HS patients. These efforts will diminish knowledge gaps in understanding the disease pathophysiology. Hence, we sought to outline a step-by-step protocol detailing how we established our HS biobank to facilitate the formation of other HS tissue banks. Equipping researchers with carefully detailed processes for collection of HS specimens would accelerate the accumulation of well-organized human biological material. Over time, the scientific community will have access to a broad range of HS tissue biospecimens, ultimately leading to more rigorous basic and translational research. Moreover, an improved understanding of the pathophysiology is necessary for the discovery of novel therapies for this debilitating disease. We aim to provide high impact translational research methodology for cutaneous biology research and foster multidisciplinary collaboration and advancement of our understanding of cutaneous diseases.
PMCID:6704132
PMID: 31434914
ISSN: 2045-2322
CID: 5710782

Genome-wide association study of acne inversa in a multi-ethnic cohort [Meeting Abstract]

Khan, A.; Hayes, M. G.; Connolly, J.; Mentch, F.; Sleiman, P.; Hakonarson, H.; Denny, J.; Hripcsak, G. M.; Weng, C.; Kiryluk, K.; Petukhova, L.
ISI:000485661500002
ISSN: 0022-202x
CID: 5713792

Dysregulation of antioxidant enzyme PRDX5 in alopecia areata [Meeting Abstract]

Abdelaziz, A. R.; Mian, M.; Erjavec, S. O.; Gelfman, S.; Lin, P.; Ionita-Laza, I.; Petukhova, L.; Christiano, A.
ISI:000482187300043
ISSN: 0022-202x
CID: 5713802