Literature DB >> 30597647

A novel association of rs13334070 in the RPGRIP1L gene with adiposity factors discovered by joint linkage and linkage disequilibrium analysis in Iranian pedigrees: Tehran Cardiometabolic Genetic Study (TCGS).

Niloufar Javanrouh1,2, Ali R Soltanian1, Leili Tapak1, Fereidoun Azizi3, Jurg Ott4, Maryam S Daneshpour2.   

Abstract

Understanding the genetic and metabolic bases of obesity is helpful in planning and developing health strategies. Therefore, the first family-based joint linkage and linkage disequilibrium study was conducted in Iranian pedigrees to assess the relationship between obesity and single-nucleotide polymorphisms (SNPs) located in the 16q12.2 region. In the present study, a total of 13,344 individuals were included, of whom 12,502 individuals were within 3,109 pedigrees and 842 were unrelated singletons. To investigate the relationship between obesity and genetic variants, a joint model of linkage and linkage disequilibrium was applied. Moreover, a sequence kernel association test (SKAT) was used to evaluate the association of the SNP set with body size and lipid profile measurements. The joint model showed that rs13334070, in the intron 4 of the RPGRIP1L gene, has a significant association with obesity. According to the 4-gamete rule, which is a procedure for constructing SNP sets by considering recombination occurrence between SNPs, this polymorphism has a high correlation with six nearby SNPs that make an SNP set. SKAT showed that this SNP set has a significant association with body size factors, but almost no association with most of the lipid profile measurements. In conclusion, from the result of this study, it might be reasonable to consider RPGRIP1L as an important gene whose variations could be associated with obesity risk factors.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Tehran lipid and glucose study (TLGS); family study; kernel machine regression (KMR); next generation sequencing (NGS)

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Year:  2018        PMID: 30597647     DOI: 10.1002/gepi.22179

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  3 in total

1.  The joint effect of PPARG upstream genetic variation in association with long-term persistent obesity: Tehran cardio-metabolic genetic study (TCGS).

Authors:  Niloufar Javanrouh Givi; Leila Najd Hassan Bonab; Maryam Barzin; Asiyeh Zahedi; Bahareh Sedaghati-Khayat; Mahdi Akbarzadeh; Maryam S Daneshpour
Journal:  Eat Weight Disord       Date:  2021-01-03       Impact factor: 4.652

2.  Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study.

Authors:  Sajedeh Masjoudi; Bahareh Sedaghati-Khayat; Niloufar Javanrouh Givi; Leila Najd Hassan Bonab; Fereidoun Azizi; Maryam S Daneshpour
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

3.  Genetic markers and continuity of healthy metabolic status: Tehran cardio-metabolic genetic study (TCGS).

Authors:  Omid Gharooi Ahangar; Niloufar Javanrouh; Maryam S Daneshpour; Maryam Barzin; Majid Valizadeh; Fereidoun Azizi; Farhad Hosseinpanah
Journal:  Sci Rep       Date:  2020-08-12       Impact factor: 4.379

  3 in total

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