Genetic Pleiotropy Underpinning Adiposity and Inflammation in Self-Identified Hispanic/Latino Populations

Citation

Anwar, Mohammad Y.; Baldassari, Antoine R.; Polikowsky, Hannah G.; Sitlani, Colleen M.; Highland, Heather M.; Chami, Nathalie; Chen, Hung-Hsin; Graff, Mariaelisa; Howard, Annie Green; & Jung, Su Y., et al. (2022). Genetic Pleiotropy Underpinning Adiposity and Inflammation in Self-Identified Hispanic/Latino Populations. BMC Medical Genomics, 15(1), 192. PMCID: PMC9464371

Abstract

BACKGROUND: Concurrent variation in adiposity and inflammation suggests potential shared functional pathways and pleiotropic disease underpinning. Yet, exploration of pleiotropy in the context of adiposity-inflammation has been scarce, and none has included self-identified Hispanic/Latino populations. Given the high level of ancestral diversity in Hispanic American population, genetic studies may reveal variants that are infrequent/monomorphic in more homogeneous populations.
METHODS: Using multi-trait Adaptive Sum of Powered Score (aSPU) method, we examined individual and shared genetic effects underlying inflammatory (CRP) and adiposity-related traits (Body Mass Index [BMI]), and central adiposity (Waist to Hip Ratio [WHR]) in HLA participating in the Population Architecture Using Genomics and Epidemiology (PAGE) cohort (N = 35,871) with replication of effects in the Cameron County Hispanic Cohort (CCHC) which consists of Mexican American individuals.
RESULTS: Of the > 16 million SNPs tested, variants representing 7 independent loci were found to illustrate significant association with multiple traits. Two out of 7 variants were replicated at statistically significant level in multi-trait analyses in CCHC. The lead variant on APOE (rs439401) and rs11208712 were found to harbor multi-trait associations with adiposity and inflammation.
CONCLUSIONS: Results from this study demonstrate the importance of considering pleiotropy for improving our understanding of the etiology of the various metabolic pathways that regulate cardiovascular disease development.

URL

http://dx.doi.org/10.1186/s12920-022-01352-3

Reference Type

Journal Article

Year Published

2022

Journal Title

BMC Medical Genomics

Author(s)

Anwar, Mohammad Y.
Baldassari, Antoine R.
Polikowsky, Hannah G.
Sitlani, Colleen M.
Highland, Heather M.
Chami, Nathalie
Chen, Hung-Hsin
Graff, Mariaelisa
Howard, Annie Green
Jung, Su Y.
Petty, Lauren E.
Wang, Zhe
Zhu, Wanying
Buyske, Steven G.
Cheng, Iona
Kaplan, Robert
Kooperberg, Charles
Loos, Ruth J. F.
Peters, Ulrike
McCormick, Joseph B.
Fisher-Hoch, Susan P.
Avery, Christy L.
Taylor, Kira C.
Below, Jennifer E.
North, Kari E.

Article Type

Regular

PMCID

PMC9464371

Data Set/Study

Population Architecture using Genomics and Epidemiology (PAGE) Study

Continent/Country

United States of America

State

Nonspecific

Race/Ethnicity

White
African-American
Hispanic
Native American
Asian

ORCiD

Avery - 0000-0002-1044-8162
Graff - 0000-0001-6380-1735
Howard, AG - 0000-0003-0837-8166