Evidence map›Paper›PMID 19779445›Full record

ArticleNature2009

Reconstructing Indian population history.

David Reich, Kumarasamy Thangaraj, Nick Patterson, Alkes L Price, Lalji Singh

Abstract read
In one paragraph

Article in Nature, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 816 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
816citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

816 citing papers in PubMed, 1 synthesis or guideline pooled it.

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756 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

David ReichDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. reich@genetics.med.harvard.edu
Kumarasamy Thangaraj
Nick Patterson
Alkes L Price
Lalji Singh

Funding

Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
Population structure in whole-genome disease scansU01HG004168 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2006 to 2008
$991k
NHGRI NIH HHS HG004168NHGRI NIH HHS R01 HG006399NHGRI NIH HHS U01 HG004168
6 · The paper itself

Abstract

India has been underrepresented in genome-wide surveys of human variation. We analyse 25 diverse groups in India to provide strong evidence for two ancient populations, genetically divergent, that are ancestral to most Indians today. One, the 'Ancestral North Indians' (ANI), is genetically close to Middle Easterners, Central Asians, and Europeans, whereas the other, the 'Ancestral South Indians' (ASI), is as distinct from ANI and East Asians as they are from each other. By introducing methods that can estimate ancestry without accurate ancestral populations, we show that ANI ancestry ranges from 39-71% in most Indian groups, and is higher in traditionally upper caste and Indo-European speakers. Groups with only ASI ancestry may no longer exist in mainland India. However, the indigenous Andaman Islanders are unique in being ASI-related groups without ANI ancestry. Allele frequency differences between groups in India are larger than in Europe, reflecting strong founder effects whose signatures have been maintained for thousands of years owing to endogamy. We therefore predict that there will be an excess of recessive diseases in India, which should be possible to screen and map genetically.

Indexed as

PhylogenyAsiaChromosomes, Human, YDNA, MitochondrialEthnicityEuropeFemaleFounder EffectGene FrequencyGenes, RecessiveGenetics, MedicalGenetics, PopulationGenetic VariationGenome, HumanGenomicsGenotypeDNA, Mitochondrial

Identifiers

PMID19779445
PMCPMC2842210

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.