Chromosomal morphism in Drosophila nasuta Lamb II. Coexistence of heteroselection and flexibility in the polymorphic system of South Indian populations

The study of middle phalangeal hair on a sample of some 5000 nonrelated subjects of both sexes and different age groups, representing 11 South Indian populations, has shown very limited sex and age variability. The frequencies fall within the general range of Indian population groups. Most of the groups tested show genetic homogeneity.

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Abstract P404: Validation of a Culturally Modified 24 hour Dietary Recall Questionnaire for use in Rural South Indian Populations

Circulation ◽

10.1161/circ.129.suppl_1.p404 ◽

2014 ◽

Vol 129 (suppl_1) ◽

Author(s):

Asvini K Subasinghe ◽

Amanda G Thrift ◽

Simin Arabshahi ◽

Oduru Suresh ◽

Kamakshi Kartik ◽

...

Keyword(s):

Nutrient Intake ◽

Dietary Assessment ◽

Indian Populations ◽

Dietary Recall ◽

Field Worker ◽

Dietary Assessment Methods ◽

South Indian ◽

24 Hour Recall ◽

Indian Food ◽

Field Workers

Introduction: The assessment of dietary intake in rural populations can be extremely challenging because of cultural and environmental limitations.Only one other study in India has been conducted to validate a 24 hour dietary recall. The purpose of this study was to validate a three pass 24 hour dietary recall questionnaire, culturally modified for use in South Indian populations, against a series of weighed food records (WFRs). Hypothesis: We assessed the hypothesis that there will be less than 15% variance between amounts of food reported to be consumed in 24 hour dietary recalls and amounts of food weighed during WFRs. Methods: Eight life size food portion photographs of common South Indian food servings were created to aid participant recall. Nutrient intake was calculated using a food database specifically created for South Indian food items. Dietary data were compared between the two dietary assessment methods in 30 adults aged 19-85 years. WFRs were conducted in the household by a trained field worker. The amount of food served by each participant was weighed, along with any left overs not eaten. The following day, field workers administered a 24 hour recall interview to the same participant. Results: In total, 101 replicate weighed food portions were matched with estimated portions by 24 hour recall for 21 different types of food or drink. Overall, there was an 11% over-estimation by 24 hour recall compared to the WFR and a strong correlation between the two measures (r=0.93). Mean nutrient intakes obtained from each measure were not significantly different. Conclusions: The culturally specific modifications made to the 24 hour dietary recall method is valid for assessing energy, macro- and micro- nutrient intake in rural Indian populations.

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NAT2 genetic variations among South Indian populations

Human Genome Variation ◽

10.1038/hgv.2014.14 ◽

2014 ◽

Vol 1 (1) ◽

Cited By ~ 9

Author(s):

Saikrishna Lakkakula ◽

Ram Mohan Pathapati ◽

Gyaneshwer Chaubey ◽

Arasambattu Kannan Munirajan ◽

Bhaskar VKS Lakkakula ◽

...

Keyword(s):

Genetic Variations ◽

Indian Populations ◽

South Indian

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CYP2D6 Genetic Polymorphism in South Indian Populations

Biological and Pharmaceutical Bulletin ◽

10.1248/bpb.29.1655 ◽

2006 ◽

Vol 29 (8) ◽

pp. 1655-1658 ◽

Cited By ~ 38

Author(s):

Amrithraj Theophilus Naveen ◽

Chandrasekaran Adithan ◽

Sisy Sam Soya ◽

Nathalie Gerard ◽

Rajagopal Krishnamoorthy

Keyword(s):

Genetic Polymorphism ◽

Indian Populations ◽

South Indian

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Tracing the biogeographical origin of South Asian populations using DNA SatNav

10.1101/089466 ◽

2016 ◽

Author(s):

Ranajit Das ◽

Priyanka Upadhyai

Keyword(s):

Population Structure ◽

South Asian ◽

South India ◽

Indian Subcontinent ◽

Population History ◽

Genetic Admixture ◽

Indian Populations ◽

Asian Populations ◽

South Indian ◽

North And South

AbstractThe Indian subcontinent includes India, Bangladesh, Pakistan, Nepal, Bhutan, and Sri Lanka that collectively share common anthropological and cultural roots. Given the enigmatic population structure, complex history and genetic heterogeneity of populations from this region, their biogeographical origin and history remain a fascinating question. In this study we carried out an in-depth genetic comparison of the five South Asian populations available in the 1000 Genomes Project, namely Gujarati Indians from Houston, Texas (GIH), Punjabis from Lahore (PJL), Indian Telugus from UK (ITU), Sri Lankan Tamils from UK (STU) and Bengalis from Bangladesh (BEB), tracing their putative biogeographical origin using a DNA SatNav algorithm - Geographical Population Structure (GPS). GPS positioned >70% of GIH and PJL genomes in North India and >80% of ITU and STU samples in South India. All South Asian genomes appeared to be assigned with reasonable accuracy, along trade routes that thrived in the ancient Mauryan Empire, which had played a significant role in unifying the Indian subcontinent and in the process brought the ancient North and South Indian populations in close proximity, promoting admixture between them, ~2300 years before present (YBP). Our findings suggest that the genetic admixture between ancient North and South Indian populations likely first occurred along the Godavari and Krishna river basin in Central-South India. Finally our biogeographical analyses provide critical insights into the population history and sociocultural forces driving migration patterns that may have been instrumental in shaping the population structure of the Indian subcontinent.

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A Note on the Frequency of Hairy Ear Rims Tragus Hair and Hairs on the Ear Lobe in Some South Indian Populations Residing at Delhi

Acta geneticae medicae et gemellologiae ◽

10.1017/s1120962300013457 ◽

1966 ◽

Vol 15 (3) ◽

pp. 321-326 ◽

Cited By ~ 1

Author(s):

P. K. Chattopadhyay

Keyword(s):

Age Of Onset ◽

The South ◽

Indian Populations ◽

South Indian ◽

The Difference ◽

Or Genes

SummaryThe South Indian populations differ from one another for the frequency of hairy ear rims, tragus hair and hairs on the ear lobe. The difference in the age of onset is not very striking. Whether they are due to the same gene, or genes, or to independent genes, cannot be answered until detailed pedigree studies are made.

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