Evidence map›Paper›PMID 33502066›Full record

ArticleHuman mutation2021

A data set of variants derived from 1455 clinical and research exomes is efficient in variant prioritization for early-onset monogenic disorders in Indians.

Neethukrishna Kausthubham, Anju Shukla, Neerja Gupta, Gandham S Bhavani, Samarth Kulshrestha, Aneek Das Bhowmik, Amita Moirangthem, Sunita Bijarnia-Mahay, Madhulika Kabra, Ratna D Puri and 6 more

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Journal of genetics · 2026
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  5. Genetic and allelic heterogeneity in 248 Indians with skeletal dysplasia.European journal of human genetics : EJHG · 2025
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  10. Genome sequencing enables diagnosis and treatment of SLC5A6 neuropathy.European journal of human genetics : EJHG · 2024
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  11. Two sisters with RSPRY1-related spondyloepimetaphyseal dysplasia.American journal of medical genetics. Part A · 2024
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  15. Article
  16. Article
  17. Article
  18. Perspectives on the future of dysmorphology.American journal of medical genetics. Part A · 2023
    Article
  19. Mutant MESD links cellular stress to type I collagen aggregation in osteogenesis imperfecta type XX.Matrix biology : journal of the International Society for Matrix Biology · 2023
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 2 countries.

Neethukrishna KausthubhamDepartment of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Anju ShuklaDepartment of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Neerja GuptaDivision of Genetics, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Gandham S BhavaniDepartment of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Samarth KulshresthaInstitute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
Aneek Das BhowmikDivision of Diagnostics, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India.
Amita MoirangthemDepartment of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
Sunita Bijarnia-MahayInstitute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
Madhulika KabraDivision of Genetics, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Ratna D PuriInstitute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.ORCID 0000-0003-2694-6147
Kausik MandalDepartment of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
Ishwar C VermaInstitute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
Stephanie L BielasDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA.ORCID 0000-0003-0567-5632
Shubha R PhadkeDepartment of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
Ashwin DalalDivision of Diagnostics, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India.
Katta M GirishaDepartment of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-0139-8239
Manipal Academy of Higher Education · INSir Ganga Ram Hospital · INSanjay Gandhi Post Graduate Institute of Medical Sciences · INAll India Institute of Medical Sciences · INCentre for Cellular and Molecular Biology · INCentre for DNA Fingerprinting and Diagnostics · INUniversity of Michigan · US

Funding

Genetic Diagnosis of Neurodevelopmental Disorders in IndiaR01HD093570 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BIELAS, STEPHANIE LEE · 2018 to 2024
$2.3M
Role of histone ubiquitination in neurodevelopment and diseaseR01NS101597 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BIELAS, STEPHANIE LEE · 2018 to 2022
$2.0M
Genetic Diagnosis of Heritable Neurodevelopmental Disorders with Exome SequencingR21NS094047 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BIELAS, STEPHANIE LEE · 2015 to 2016
$341k
NICHD NIH HHS R01 HD093570NINDS NIH HHS R01 NS101597NINDS NIH HHS R21 NS094047
6 · The paper itself

Abstract

Given the genomic uniqueness, a local data set is most desired for Indians, who are underrepresented in existing public databases. We hypothesize patients with rare monogenic disorders and their family members can provide a reliable source of common variants in the population. Exome sequencing (ES) data from families with rare Mendelian disorders was aggregated from five centers in India. The dataset was refined by excluding related individuals and removing the disease-causing variants (refined cohort). The efficiency of these data sets was assessed in a new set of 50 exomes against gnomAD and GenomeAsia. Our original cohort comprised 1455 individuals from 1203 families. The refined cohort had 836 unrelated individuals that retained 1,251,064 variants with 181,125 population-specific and 489,618 common variants. The allele frequencies from our cohort helped to define 97,609 rare variants in gnomAD and 44,520 rare variants in GenomeAsia as common variants in our population. Our variant dataset provided an additional 1.7% and 0.1% efficiency for prioritizing heterozygous and homozygous variants respectively for rare monogenic disorders. We observed additional 19 genes/human knockouts. We list carrier frequency for 142 recessive disorders. This is a large and useful resource of exonic variants for Indians. Despite limitations, datasets from patients are efficient tools for variant prioritization in a resource-limited setting.

Indexed as

ExomeGenomicsExome SequencingGene FrequencyHomozygoteHumansexomesIndian populationmonogenic disordersvariant dataset

Identifiers

PMID33502066
PMCPMC10052794
OpenAlexW3121752272

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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.