A Genomic Insight into the Peopling of Manipur, India

Meitei, Khangembam Somibabu; Meitei, Sanjenbam Yaiphaba; Asghar, Muhammad; Achoubi, Nongthombam; Murry, Benrithung; Mondal, Prakash Chandra; Sachdeva, M.P.; Saraswathy, Kallur Nava

doi:10.1089/gtmb.2010.0078

Cited by 8 publications

(7 citation statements)

References 47 publications

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“…The high degree of genetic differentiation (5.2%) in these populations could be suggestive of their different origin of these populations maintaining its own gene pool without the possibility of gene flow, following strict endogamous nature which is further supported by AMOVA analysis which indicates that the highest percentage of among group variance is seen between Naga and Kuki groups (7.09%) as compared to interpopulation variation among the groups (0.31%). When the four presently studied populations and the earlier studied populations from Manipur (Saraswathy et al 2009a;Saraswathy et al 2009b;Meitei et al 2010;Kameih et al 2018;Kshatriya et al 2019) are considered jointly on the basis of five markers, the GST value was 4.6%, which may be attributable to variation among the populations of Manipur.…”

Section: Discussionmentioning

confidence: 83%

“…6.70% on the basis of 24 autosomal DNA markers. Meitei et al (2010) conducted a study among population groups of Manipur using 7 alu InDel markers and found higher GST value among tribal populations (7.4%) than non-tribal populations (2.2%) and it reveals that the diversity within the tribal groups is higher when compared with non-tribal. The high degree of genetic differentiation (5.2%) in these populations could be suggestive of their different origin of these populations maintaining its own gene pool without the possibility of gene flow, following strict endogamous nature which is further supported by AMOVA analysis which indicates that the highest percentage of among group variance is seen between Naga and Kuki groups (7.09%) as compared to interpopulation variation among the groups (0.31%).…”

Section: Discussionmentioning

confidence: 99%

“…The state is bounded on the south and east of Burma (Myanmar), on the north by Nagaland, on the west by Assam and on the southwest by Mizoram. It lies on the ancient silk route and serves as a meeting point between the Southeast Asia and South Asia (Meitei et al 2010 Some of the earlier studies classified Naga as nearly akin to the Kuki. However, there are few distinctive features which set apart the Naga and Kuki groups (Rizvi & Roy 2006).…”

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confidence: 99%

“…Few studies have been carried out on the populations of Manipur (Saraswathy et al 2009a;Saraswathy et al 2009b;Meitei et al 2010;Kameih et al 2018;Kshatriya et al 2019) however, not on same genetic markers, most of them on different populations with different objectives.…”

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confidence: 99%

“…Rongmei and Inpui were earlier grouped and identified as Kabui Naga prior 2011 census therefore earlier studies (Saraswathy et al 2009b;Meitei et al 2010) had done sampling based on blanket term 'Kabui' without specifying names of Rongmei and Inpui. Keeping this in view, we report an analysis of 20 autosomal markers including eight insertion-deletion polymorphisms and twelve restriction site polymorphisms (both linked and unlinked) in four tribal populations of Manipur (two populations each from Naga and Kuki tribes), Northeast India.…”

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confidence: 99%

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Genomic Heterogeneity of the Naga and Kuki Tribal Populations of Manipur, Northeast India

Kameih¹,

Ningombam²,

Kshatriya³

2020

Human Biology

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Manipur is one of the NorthEastern states of India and it lies on the ancient silk route and serves as a meeting point between the Southeast Asia and South Asia. The origin and migration histories of Naga and Kuki tribal populations have not been clearly understood. Moreover, Kukis Pre-print version. Visit http://digitalcommons.wayne.edu/humbiol/ after publication to acquire the final version. have been traced to two different ancestries, which have created confusion among the people. The present study examined genomic affinities and differentiation of the Naga and Kuki tribal populations of Manipur, Northeast India. Twenty autosomal markers (Eight Alu InDels, and twelve Restriction Fragment Length Polymorphisms) were analysed. Findings showed genetic differences between Naga and Kuki tribal populations with respect to the allele distribution pattern which was substantiated by genetic differentiation (GST 5.2%) and molecular variance (AMOVA) where the highest percentage of among group variances was observed between Naga and Kuki tribal groups (7.09%). However, genetic similarity with respect to allele distribution pattern in most of the loci were seen among their respective groups (Rongmei and Inpui; Thadou and Vaiphei). Rongmei and Inpui tribal populations (Naga group) belong to Naga-Bodo linguistic group and Thadou and Vaipei (Kuki group) belong to Northern Kuki-Chin linguistic group suggesting that genetic similarities may not be independent of linguistic affinities. Despite differential genetic affinities, both Naga and Kuki tribal populations in Manipur show proximity with Southeast Asian populations and Northeast Indian populations than with other Indian populations and global populations taken for comparison.

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Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Genomic Heterogeneity of the Naga and Kuki Tribal Populations of Manipur, Northeast India

Kameih¹,

Ningombam²,

Kshatriya³

2020

Human Biology

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Maternal age and adverse pregnancy outcomes among Meitei women of Manipur, Northeast India: A cross‐sectional study

Devi,

Singh

2023

American J Hum Biol

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ObjectiveThe study examines the outcomes of pregnancies conceived at advanced maternal age (AMA) and maternal complications after childbirth among Meitei women of Northeast India.MethodA total of 760 women participants were included in this study and compared among women aged ≥35 years, with a reference group of women aged 20–34 years. Data on obstetric characteristics were collected after obtaining consent. The data were compared using chi‐square analysis, and the results were adjusted using a logistic regression model. Decision trees were developed to predict the potential variables associated with preterm delivery and postpartum complication.ResultsIn the study, 18.95% of AMA women experienced one or more adverse pregnancy outcomes (APOs). Women with AMA are at significantly increased risk of placenta previa (adjusted odds ratio [AOR] = 4.89, 95% confidence interval [CI]: 2.78–8.57), induction of labor (AOR = 3.69, 95%CI: 2.48–5.50), and caesarean section (AOR = 3.42, 95%CI: 2.28–5.12). Moreover, AMA women have a 1.86–2.76 AOR for developing gestational diabetes, pregnancy‐induced hypertension, urinary tract infections, preterm delivery, and postpartum complications. Decision tree analysis revealed that AMA and urban residence independently predict preterm delivery and postpartum complications.ConclusionThe study's findings confirm the adverse impact of AMA on pregnancy outcomes and postpartum complications. Such issues should be addressed, and counseling on the risk of AMA should be provided, particularly for those in the high‐risk group. Further prospective studies are needed to understand other potential risk factors of APOs and the impact of AMA complications to prevent the associated burden.

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A Genomic Insight into the Peopling of Manipur, India

Cited by 8 publications

References 47 publications

Genomic Heterogeneity of the Naga and Kuki Tribal Populations of Manipur, Northeast India

Genomic Heterogeneity of the Naga and Kuki Tribal Populations of Manipur, Northeast India

Maternal age and adverse pregnancy outcomes among Meitei women of Manipur, Northeast India: A cross‐sectional study

Distribution of angiotensin converting enzyme gene (insertion/deletion) polymorphism in Indian populations

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