9.9
CiteScore
7.1
Impact Factor
Volume 52 Issue 4
Apr.  2025
Turn off MathJax
Article Contents

Endogamy and high prevalence of deleterious mutations in India: evidence from strong founder events

doi: 10.1016/j.jgg.2025.02.001
Funds:

and CSIR Bhatnagar Fellowship, from Council of Scientific and Industrial Research (CSIR), Ministry of Science and Technology, Government of India.

PM was supported by the DBT JRF-SRF research fellowship. KT was supported the J C Bose Fellowship from Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India (JCB/2019/000027)

  • Received Date: 2024-09-02
  • Accepted Date: 2025-02-06
  • Rev Recd Date: 2025-02-02
  • Available Online: 2025-07-11
  • Publish Date: 2025-02-13
  • Founder events influence recessive diseases in highly endogamous populations. Several Indian populations have experienced significant founder events due to strict endogamy. However, the clinical implications of it remain underexplored. Therefore, we perform whole-exome sequencing of 281 individuals from four South Indian populations, characterized by high IBD scores. Our study reveals a high inbreeding rate of 59% across the populations. We identify ∼29.2% of the variants that are exclusively present in a single population and uncover 1284 unreported exonic variants, underscoring the underrepresentation of Indian populations in global databases. Among these, 23 are predicted to be deleterious, all of which are present in a heterozygous state; they may be pathogenic when homozygous, an expected phenomenon in endogamous populations. Approximately 16%–33% of the identified pathogenic variants showed significantly higher occurrence rates compared with the South Asian populations from 1000 Genomes dataset. Pharmacogenomic analysis revealed distinct allele frequencies of variants in CYP450 and non-CYP450 genes, highlighting heterogeneous drug responses and associated risks. We report a high prevalence of ankylosing spondylitis in Reddy population, linked to the HLA-B*27:04 allele and strong founder effect. Our findings highlight the need for extensive genomic research in understudied Indian populations for a better understanding of disease risk and evolving strategies for precision and preventive medicine.
  • loading
  • Genomes Project Consortium, Auton, A., Brooks, L. D., Durbin, R. M., Garrison, E. P., Kang, H. M., Korbel, J. O., Marchini, J. L., McCarthy, S., McVean, G. A., et al., 2015. A global reference for human genetic variation. Nature 526, 68-74.
    Adzhubei, I., Jordan, D.M.,Sunyaev, S.R., 2013. Predicting functional effect of human missense mutations using PolyPhen-2. Curr. Protoc. Hum. Genet. 76, 7.20.1-7.20.41.
    Brown, M.A., Kennedy, L.G., Macgregor, A.J., Darke, C., Duncan, E., Shatford, J.L., Taylor, A., Calin, A.,Wordsworth, P., 1997. Susceptibility to ankylosing spondylitis in twins the role of genes, HLA, and the environment. Arthritis Rheum. 40, 1823-1828.
    Capriotti, E., Fariselli, P.,Casadio, R., 2005. I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure. Nucleic Acids Res. 33, W306-W310.
    Chun, S., Fay, J.C., 2009. Identification of deleterious mutations within three human genomes. Genome Res. 19, 1553-1561.
    Curik, I., Ferencakovic, M.,Solkner, J., 2014. Inbreeding and runs of homozygosity: a possible solution to an old problem. Livest. Sci. 166, 26-34.
    Evans, W.E., Johnson, J.A., 2001. Pharmacogenomics: the inherited basis for interindividual differences in drug response. Annu. Rev. Genom. Hum. Genet. 2, 9-39.
    Gao, Z., Waggoner, D., Stephens, M., Ober, C., Przeworski, M., 2015. An estimate of the average number of recessive lethal mutations carried by humans. Genetics 199, 1243-1254.
    Gazal, S., Sahbatou, M., Babron, M.-C., Genin, E., Leutenegger, A.-L., 2014. FSuite: exploiting inbreeding in dense SNP chip and exome data. Bioinformatics 30, 1940-1941.
    GenomeAsia100K Consortium. 2019. The GenomeAsia 100K Project enables genetic discoveries across Asia. Nature 576, 106-111.
    Haridas, V., Shetty, P., Kumar, M.N., Vasanthakumar, K., Haridas, K., Khode, V., Bargale, A., 2018. Human leukocyte antigen-B*27 allele subtype prevalence and disease association of ankylosing spondylitis among south indian population. Indian J. Rheumatol. 13, 38-43.
    Hariprakash, J.M., Vellarikkal, S.K., Keechilat, P., Verma, A., Jayarajan, R., Dixit, V., Ravi, R., Senthivel, V., Kumar, A., Sehgal, P., et al., 2018. Pharmacogenetic landscape of DPYS variants in south asian populations by integration of genome-scale data. Pharmacogenomics 19, 227-241.
    Hsiao, T.-L., Vitkup, D., 2008. Role of duplicate genes in robustness against deleterious human mutations. PLoS Genet. 4, e1000014.
    International Genetics of Ankylosing Spondylitis Consortium (IGAS). 2013. Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci. Nat. Genet. 45, 730-738.
    Jose, R., Chandrasekaran, A., Sam, S.S., Gerard, N., Chanolean, S., Abraham, B.K., Satyanarayanamoorthy, K., Peter, A., Rajagopal, K., 2005. CYP2C9 and CYP2C19 genetic polymorphisms: frequencies in the south indian population. Fundam. Clin. Pharmacol. 19, 101-105.
    Kane, M., 2023. Atazanvir Therapy and UGT1A1 Genotype. Medical Genetics Summaries. National Center for Biotechnology Information (US). http://www.ncbi.nlm.nih.gov/books/NBK596252.
    Kausthubham, N., Shukla, A., Gupta, N., Bhavani, G.S., Kulshrestha, S., Das Bhowmik, A., Moirangthem, A., Bijarnia-Mahay, S., Kabra, M., Puri, R.D., et al., 2021. A data set of variants derived from 1455 clinical and research exomes is efficient in variant prioritization for early-onset monogenic disorders in indians. Hum. Mutat. 42, e15-e61.
    Krishnakumar, D., Gurusamy, U., Dhandapani, K., Surendiran, A., Baghel, R., Kukreti, R., Gangadhar, R., Prayaga, U., Manjunath, S., Adithan, C., 2012. Genetic polymorphisms of drug-metabolizing phase I enzymes CYP2E1, CYP2A6 and CYP3A5 in South Indian population. Fundam. Clin. Pharmacol. 26, 295-306.
    Kumar, S., Doss, R.S.A., Rebekah, G., Mathews, N.S., Danda, D., Mathew, J., Daniel, D., 2021. Prevalence of HLA-B*27 subtypes in the Tamil population of India with Ankylosing spondylitis and its correlation with clinical features. Hum. Immunol. 82, 404-408.
    Lamba, J., Hebert, J.M., Schuetz, E.G., Klein, T.E., Altman, R.B., 2012. PharmGKB summary: very important pharmacogene information for CYP3A5. Pharmacogenet. Genomics 22, 555-558.
    Leckband, S., Kelsoe, J., Dunnenberger, H., George Jr, A., Tran, E., Berger, R., Muller, D., Whirl-Carrillo, M., Caudle, K., Pirmohamed, M., 2013. Clinical pharmacogenetics implementation consortium guidelines for HLA-B genotype and carbamazepine dosing. Clin. Pharmacol. Ther. 94, 324-328.
    Lee, S.-b., Shin, J.-Y., Kwon, N.-J., Kim, C., Seo, J.-S., 2022. ClinPharmSeq: a targeted sequencing panel for clinical pharmacogenetics implementation. PLoS One 17, e0272129.
    Liao, W.-W., Asri, M., Ebler, J., Doerr, D., Haukness, M., Hickey, G., Lu, S., Lucas, J.K., Monlong, J., Abel, H.J., et al., 2023. A draft human pangenome reference. Nature 617, 312-324.
    Malaviya, A.N., 2020. Spondyloarthritis in India. Indian J. Rheumatol. 15, S2-S5.
    Mallal, S., Nolan, D., Witt, C., Masel, G., Martin, A., Moore, C., Sayer, D., Castley, A., Mamotte, C., Maxwell, D., et al., 2002. Association between presence of HLA-B*5701, HLA-DR7, and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir. Lancet. 359, 727-732.
    Mastana, S.S., 2014. Unity in diversity: an overview of the genomic anthropology of India. Ann. Hum. Biol. 41, 287-299.
    Mondal, M., Casals, F., Xu, T., Dall'Olio, G.M., Pybus, M., Netea, M.G., Comas, D., Laayouni, H., Li, Q., Majumder, P.P., 2016. Genomic analysis of Andamanese provides insights into ancient human migration into Asia and adaptation. Nat. Genet. 48, 1066-1070.
    Moscovitz, O., Tsvetkov, P., Hazan, N., Michaelevski, I., Keisar, H., Ben-Nissan, G., Shaul, Y., Sharon, M., 2012. A mutually inhibitory feedback loop between the 20S proteasome and its regulator, NQO1. Mol. Cell 47, 76-86.
    Nakatsuka, N., Moorjani, P., Rai, N., Sarkar, B., Tandon, A., Patterson, N., Bhavani, G.S., Girisha, K.M., Mustak, M.S., Srinivasan, S., et al., 2017. The promise of discovering population-specific disease-associated genes in South Asia. Nat. Genet. 49, 1403-1407.
    Ng, P.C., Henikoff, S., 2003. SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res. 31, 3812-3814.
    Nizamuddin, S., Dubey, S., Singh, S., Sharma, S., Machha, P., Thangaraj, K., 2021. CYP2C9 variations and their pharmacogenetic implications among diverse south asian populations. Pharmacogenomics Pers. Med. 14, 135-147.
    Nutile, T., Ruggiero, D., Herzig, A., Tirozzi, A., Nappo, S., Sorice, R., Marangio, F., Bellenguez, C., Leutenegger, A.-L., Ciullo, M., 2019. Whole-exome sequencing in the isolated populations of cilento from south Italy. Sci. Rep. 9, 4059.
    Ortega, V.E., Meyers, D.A., 2014. Pharmacogenetics: implications of race and ethnicity on defining genetic profiles for personalized medicine. J. Allergy Clin. Immunol. 133, 16-26.
    Reeves, E., Colebatch-Bourn, A., Elliott, T., Edwards, C.J.,James, E., 2014. Functionally distinct ERAP1 allotype combinations distinguish individuals with Ankylosing Spondylitis. Proc. Natl. Acad. Sci. U. S. A 111, 17594-17599.
    Reich, D., Thangaraj, K., Patterson, N., Price, A.L., Singh, L., 2009. Reconstructing Indian population history. Nature 461, 489-494.
    Rentzsch, P., Schubach, M., Shendure, J., Kircher, M., 2021. CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores. Genome Med. 13, 1-12.
    Ruiz-Perez, V.L., Ide, S.E., Strom, T.M., Lorenz, B., Wilson, D., Woods, K., King, L., Francomano, C., Freisinger, P., Spranger, S., et al., 2000. Mutations in a new gene in Ellis-van Creveld syndrome and Weyers acrodental dysostosis. Nat. Genet. 24, 283-286.
    Schwarz, J.M., Rodelsperger, C., Schuelke, M., Seelow, D., 2010. Mutationtaster evaluates disease-causing potential of sequence alterations. Nat. Methods 7, 575-576.
    Sengupta, D., Choudhury, A., Basu, A., Ramsay, M., 2016. Population stratification and underrepresentation of Indian subcontinent genetic diversity in the 1000 Genomes Project dataset. Genome Biol. Evol. 8, 3460-3470.
    Singh, O., Sandanaraj, E., Subramanian, K., Lee, L.H., Chowbay, B., 2011. Influence of CYP4F2 rs2108622 (V433M) on warfarin dose requirement in asian patients. Drug Metabol. Pharmacokinet. 26, 130-136.
    Song, Y., Lim, H.-H., Yee, J., Yoon, H.-Y., Gwak, H.-S., 2022. The association between ABCG2 421C>A (rs2231142) polymorphism and rosuvastatin pharmacokinetics: a systematic review and meta-analysis. Pharmaceutics 14, 501.
    Tassaneeyakul, W., Jantararoungtong, T., Chen, P., Lin, P.-Y., Tiamkao, S., Khunarkornsiri, U., Chucherd, P., Konyoung, P., Vannaprasaht, S., Choonhakarn, C., et al., 2009. Strong association between HLA-B*5801 and allopurinol-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in a Thai population. Pharmacogenet. Genomics 19, 704-709.
    Thangaraj, K., Joshi, M.B., Reddy, A.G., Gupta, N.J., Chakravarty, B., Singh, L., 2002. CAG repeat expansion in the androgen receptor gene is not associated with male infertility in Indian populations. J. Androl. 23, 815-818.
    Toffoli, G., Giodini, L., Buonadonna, A., Berretta, M., De Paoli, A., Scalone, S., Miolo, G., Mini, E., Nobili, S., Lonardi, S., et al., 2015. Clinical validity of a DPYD-based pharmacogenetic test to predict severe toxicity to fluoropyrimidines. Int. J. Cancer 137, 2971-2980.
    Tournebize, R., Chu, G., Moorjani, P., 2022. Reconstructing the history of founder events using genome-wide patterns of allele sharing across individuals. PLoS Genet. 18, e1010243.
    Xie, C., Yeo, Z.X., Wong, M., Piper, J., Long, T., Kirkness, E.F., Biggs, W.H., Bloom, K., Spellman, S., Vierra-Green, C., et al., 2017. Fast and accurate HLA typing from short-read next-generation sequence data with xHLA. Proc. Natl. Acad. Sci. U. S. A 114, 8059-8064.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (0) PDF downloads (0) Cited by ()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return