schliessen

Filtern

 

Bibliotheken

Deep Whole-Genome Sequencing of 100 Southeast Asian Malays

Whole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the... Full description

Journal Title: American journal of human genetics 2013, Vol.92 (1), p.52-66
Main Author: Wong, Lai-Ping
Other Authors: Ong, Rick Twee-Hee , Poh, Wan-Ting , Liu, Xuanyao , Chen, Peng , Li, Ruoying , Lam, Kevin Koi-Yau , Pillai, Nisha Esakimuthu , Sim, Kar-Seng , Xu, Haiyan , Sim, Ngak-Leng , Teo, Shu-Mei , Foo, Jia-Nee , Tan, Linda Wei-Lin , Lim, Yenly , Koo, Seok-Hwee , Gan, Linda Seo-Hwee , Cheng, Ching-Yu , Wee, Sharon , Yap, Eric Peng-Huat , Ng, Pauline Crystal , Lim, Wei-Yen , Soong, Richie , Wenk, Markus Rene , Aung, Tin , Wong, Tien-Yin , Khor, Chiea-Chuen , Little, Peter , Chia, Kee-Seng , Teo, Yik-Ying
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: United States: Elsevier Inc
ID: ISSN: 0002-9297
Link: https://www.ncbi.nlm.nih.gov/pubmed/23290073
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3542459
title: Deep Whole-Genome Sequencing of 100 Southeast Asian Malays
format: Article
creator:
  • Wong, Lai-Ping
  • Ong, Rick Twee-Hee
  • Poh, Wan-Ting
  • Liu, Xuanyao
  • Chen, Peng
  • Li, Ruoying
  • Lam, Kevin Koi-Yau
  • Pillai, Nisha Esakimuthu
  • Sim, Kar-Seng
  • Xu, Haiyan
  • Sim, Ngak-Leng
  • Teo, Shu-Mei
  • Foo, Jia-Nee
  • Tan, Linda Wei-Lin
  • Lim, Yenly
  • Koo, Seok-Hwee
  • Gan, Linda Seo-Hwee
  • Cheng, Ching-Yu
  • Wee, Sharon
  • Yap, Eric Peng-Huat
  • Ng, Pauline Crystal
  • Lim, Wei-Yen
  • Soong, Richie
  • Wenk, Markus Rene
  • Aung, Tin
  • Wong, Tien-Yin
  • Khor, Chiea-Chuen
  • Little, Peter
  • Chia, Kee-Seng
  • Teo, Yik-Ying
subjects:
  • Article
  • Asian Continental Ancestry Group - genetics
  • Asian people
  • DNA sequencing
  • Genetic aspects
  • Genetic research
  • Genetic Variation
  • Genetics
  • Genetics(clinical)
  • Genetics, Population
  • Genome, Human
  • Genomes
  • Genomics
  • Genotype & phenotype
  • High-Throughput Nucleotide Sequencing
  • Human population genetics
  • Humans
  • Malays (Asian people)
  • Malaysia
  • Mutation
  • Nucleotide sequencing
  • Polymorphism
  • Polymorphism, Single Nucleotide
  • Population Groups - genetics
  • Sensitivity analysis
  • Singapore
  • Single nucleotide polymorphisms
  • Usage
ispartof: American journal of human genetics, 2013, Vol.92 (1), p.52-66
description: Whole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30× coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0002-9297
fulltext: fulltext
issn:
  • 0002-9297
  • 1537-6605
url: Link


@attributes
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
RANK2.6700335
LOCALfalse
PrimoNMBib
record
control
sourceidgale_pubme
recordidTN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3542459
sourceformatXML
sourcesystemPC
galeidA317814984
sourcerecordidA317814984
originalsourceidFETCH-LOGICAL-1646t-fb55637c9f5ee64ab555cf3c0419b8df43fc70d5e4dde896dd03e061cf54c15d3
addsrcrecordideNqNUl1rFDEUHUSxa_UP-CADvvgy672Tj5mICEvVKlR9qOJjyCY3u1lmJ-tkttJ_b4at1fahCoEQcs7h3nNOUTxFmCOgfLmZm816Na8B63k-AOJeMUPBmkpKEPeLGQDUlapVc1Q8SmkDgNgCe1gc1axWAA2bFa_eEu3K7-vYUXVKfdxSeU4_9tTb0K_K6EsEKM_jflyTSWO5SMH05SfTmcv0uHjgTZfoydV9XHx7_-7ryYfq7Mvpx5PFWYWSy7HySyEka6zygkhyk5_CemaBo1q2znPmbQNOEHeOWiWdA0Yg0XrBLQrHjos3B93dfrklZ6kfB9Pp3RC2ZrjU0QR986cPa72KF5oJXnOhssDng0DcUW_CQDe4rqdRO3L7nf7pdfZIS4lKecbypNgo9EjKAwNjVLbPYZsFX1xNNMTsVRr1NiRLXWd6ivuksW7FlBDH_4A2jCsEMak-vwXdxP3QZ2szSqo8Cq_VH9TKdKRD72Pe2U6iesGytcAF_wcKmxa5anlG1QeUHWJKA_lrYxD0tIDe6KlieqpYHiK7IzLp2d9xXFN-dyoD2luqNoxmDHFKJ3R3a78-UCn36SLQoJMNuYvkcmo2xxTDXfRftevvLw
sourcetypeOpen Access Repository
isCDItrue
recordtypearticle
pqid1269179429
display
typearticle
titleDeep Whole-Genome Sequencing of 100 Southeast Asian Malays
sourceAlma/SFX Local Collection
creatorWong, Lai-Ping ; Ong, Rick Twee-Hee ; Poh, Wan-Ting ; Liu, Xuanyao ; Chen, Peng ; Li, Ruoying ; Lam, Kevin Koi-Yau ; Pillai, Nisha Esakimuthu ; Sim, Kar-Seng ; Xu, Haiyan ; Sim, Ngak-Leng ; Teo, Shu-Mei ; Foo, Jia-Nee ; Tan, Linda Wei-Lin ; Lim, Yenly ; Koo, Seok-Hwee ; Gan, Linda Seo-Hwee ; Cheng, Ching-Yu ; Wee, Sharon ; Yap, Eric Peng-Huat ; Ng, Pauline Crystal ; Lim, Wei-Yen ; Soong, Richie ; Wenk, Markus Rene ; Aung, Tin ; Wong, Tien-Yin ; Khor, Chiea-Chuen ; Little, Peter ; Chia, Kee-Seng ; Teo, Yik-Ying
creatorcontribWong, Lai-Ping ; Ong, Rick Twee-Hee ; Poh, Wan-Ting ; Liu, Xuanyao ; Chen, Peng ; Li, Ruoying ; Lam, Kevin Koi-Yau ; Pillai, Nisha Esakimuthu ; Sim, Kar-Seng ; Xu, Haiyan ; Sim, Ngak-Leng ; Teo, Shu-Mei ; Foo, Jia-Nee ; Tan, Linda Wei-Lin ; Lim, Yenly ; Koo, Seok-Hwee ; Gan, Linda Seo-Hwee ; Cheng, Ching-Yu ; Wee, Sharon ; Yap, Eric Peng-Huat ; Ng, Pauline Crystal ; Lim, Wei-Yen ; Soong, Richie ; Wenk, Markus Rene ; Aung, Tin ; Wong, Tien-Yin ; Khor, Chiea-Chuen ; Little, Peter ; Chia, Kee-Seng ; Teo, Yik-Ying
descriptionWhole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30× coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (<5%) markers, a larger number of individuals might have to be whole-genome sequenced so that the accuracy currently afforded by the 1KGP can be achieved. The SSMP data are expected to be the benchmark for evaluating the value of deep population-level sequencing versus low-pass sequencing, especially in populations that are poorly represented in population-genetics studies.
identifier
0ISSN: 0002-9297
1EISSN: 1537-6605
2DOI: 10.1016/j.ajhg.2012.12.005
3PMID: 23290073
languageeng
publisherUnited States: Elsevier Inc
subjectArticle ; Asian Continental Ancestry Group - genetics ; Asian people ; DNA sequencing ; Genetic aspects ; Genetic research ; Genetic Variation ; Genetics ; Genetics(clinical) ; Genetics, Population ; Genome, Human ; Genomes ; Genomics ; Genotype & phenotype ; High-Throughput Nucleotide Sequencing ; Human population genetics ; Humans ; Malays (Asian people) ; Malaysia ; Mutation ; Nucleotide sequencing ; Polymorphism ; Polymorphism, Single Nucleotide ; Population Groups - genetics ; Sensitivity analysis ; Singapore ; Single nucleotide polymorphisms ; Usage
ispartofAmerican journal of human genetics, 2013, Vol.92 (1), p.52-66
rights
02013 The American Society of Human Genetics
1Copyright © 2013 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.
2COPYRIGHT 2013 Elsevier B.V.
3Copyright Cell Press Jan 10, 2013
42013 The American Society of Human Genetics. Published by Elsevier Ltd. All right reserved. 2013 The American Society of Human Genetics
lds50peer_reviewed
oafree_for_read
citedbyFETCH-LOGICAL-1646t-fb55637c9f5ee64ab555cf3c0419b8df43fc70d5e4dde896dd03e061cf54c15d3
citesFETCH-LOGICAL-1646t-fb55637c9f5ee64ab555cf3c0419b8df43fc70d5e4dde896dd03e061cf54c15d3
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
thumbnail$$Usyndetics_thumb_exl
backlink$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23290073$$D View this record in MEDLINE/PubMed
search
creatorcontrib
0Wong, Lai-Ping
1Ong, Rick Twee-Hee
2Poh, Wan-Ting
3Liu, Xuanyao
4Chen, Peng
5Li, Ruoying
6Lam, Kevin Koi-Yau
7Pillai, Nisha Esakimuthu
8Sim, Kar-Seng
9Xu, Haiyan
10Sim, Ngak-Leng
11Teo, Shu-Mei
12Foo, Jia-Nee
13Tan, Linda Wei-Lin
14Lim, Yenly
15Koo, Seok-Hwee
16Gan, Linda Seo-Hwee
17Cheng, Ching-Yu
18Wee, Sharon
19Yap, Eric Peng-Huat
20Ng, Pauline Crystal
21Lim, Wei-Yen
22Soong, Richie
23Wenk, Markus Rene
24Aung, Tin
25Wong, Tien-Yin
26Khor, Chiea-Chuen
27Little, Peter
28Chia, Kee-Seng
29Teo, Yik-Ying
title
0Deep Whole-Genome Sequencing of 100 Southeast Asian Malays
1American journal of human genetics
addtitleAm J Hum Genet
descriptionWhole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30× coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (<5%) markers, a larger number of individuals might have to be whole-genome sequenced so that the accuracy currently afforded by the 1KGP can be achieved. The SSMP data are expected to be the benchmark for evaluating the value of deep population-level sequencing versus low-pass sequencing, especially in populations that are poorly represented in population-genetics studies.
subject
0Article
1Asian Continental Ancestry Group - genetics
2Asian people
3DNA sequencing
4Genetic aspects
5Genetic research
6Genetic Variation
7Genetics
8Genetics(clinical)
9Genetics, Population
10Genome, Human
11Genomes
12Genomics
13Genotype & phenotype
14High-Throughput Nucleotide Sequencing
15Human population genetics
16Humans
17Malays (Asian people)
18Malaysia
19Mutation
20Nucleotide sequencing
21Polymorphism
22Polymorphism, Single Nucleotide
23Population Groups - genetics
24Sensitivity analysis
25Singapore
26Single nucleotide polymorphisms
27Usage
issn
00002-9297
11537-6605
fulltexttrue
rsrctypearticle
creationdate2013
recordtypearticle
recordideNqNUl1rFDEUHUSxa_UP-CADvvgy672Tj5mICEvVKlR9qOJjyCY3u1lmJ-tkttJ_b4at1fahCoEQcs7h3nNOUTxFmCOgfLmZm816Na8B63k-AOJeMUPBmkpKEPeLGQDUlapVc1Q8SmkDgNgCe1gc1axWAA2bFa_eEu3K7-vYUXVKfdxSeU4_9tTb0K_K6EsEKM_jflyTSWO5SMH05SfTmcv0uHjgTZfoydV9XHx7_-7ryYfq7Mvpx5PFWYWSy7HySyEka6zygkhyk5_CemaBo1q2znPmbQNOEHeOWiWdA0Yg0XrBLQrHjos3B93dfrklZ6kfB9Pp3RC2ZrjU0QR986cPa72KF5oJXnOhssDng0DcUW_CQDe4rqdRO3L7nf7pdfZIS4lKecbypNgo9EjKAwNjVLbPYZsFX1xNNMTsVRr1NiRLXWd6ivuksW7FlBDH_4A2jCsEMak-vwXdxP3QZ2szSqo8Cq_VH9TKdKRD72Pe2U6iesGytcAF_wcKmxa5anlG1QeUHWJKA_lrYxD0tIDe6KlieqpYHiK7IzLp2d9xXFN-dyoD2luqNoxmDHFKJ3R3a78-UCn36SLQoJMNuYvkcmo2xxTDXfRftevvLw
startdate20130110
enddate20130110
creator
0Wong, Lai-Ping
1Ong, Rick Twee-Hee
2Poh, Wan-Ting
3Liu, Xuanyao
4Chen, Peng
5Li, Ruoying
6Lam, Kevin Koi-Yau
7Pillai, Nisha Esakimuthu
8Sim, Kar-Seng
9Xu, Haiyan
10Sim, Ngak-Leng
11Teo, Shu-Mei
12Foo, Jia-Nee
13Tan, Linda Wei-Lin
14Lim, Yenly
15Koo, Seok-Hwee
16Gan, Linda Seo-Hwee
17Cheng, Ching-Yu
18Wee, Sharon
19Yap, Eric Peng-Huat
20Ng, Pauline Crystal
21Lim, Wei-Yen
22Soong, Richie
23Wenk, Markus Rene
24Aung, Tin
25Wong, Tien-Yin
26Khor, Chiea-Chuen
27Little, Peter
28Chia, Kee-Seng
29Teo, Yik-Ying
general
0Elsevier Inc
1Elsevier B.V
2Cell Press
3Elsevier BV
4Elsevier
scope
06I.
1AAFTH
2CGR
3CUY
4CVF
5ECM
6EIF
7NPM
8AAYXX
9CITATION
107QP
117TK
127TM
137U7
148FD
15C1K
16FR3
17K9.
18P64
19RC3
207X8
21BOBZL
22CLFQK
235PM
sort
creationdate20130110
titleDeep Whole-Genome Sequencing of 100 Southeast Asian Malays
authorWong, Lai-Ping ; Ong, Rick Twee-Hee ; Poh, Wan-Ting ; Liu, Xuanyao ; Chen, Peng ; Li, Ruoying ; Lam, Kevin Koi-Yau ; Pillai, Nisha Esakimuthu ; Sim, Kar-Seng ; Xu, Haiyan ; Sim, Ngak-Leng ; Teo, Shu-Mei ; Foo, Jia-Nee ; Tan, Linda Wei-Lin ; Lim, Yenly ; Koo, Seok-Hwee ; Gan, Linda Seo-Hwee ; Cheng, Ching-Yu ; Wee, Sharon ; Yap, Eric Peng-Huat ; Ng, Pauline Crystal ; Lim, Wei-Yen ; Soong, Richie ; Wenk, Markus Rene ; Aung, Tin ; Wong, Tien-Yin ; Khor, Chiea-Chuen ; Little, Peter ; Chia, Kee-Seng ; Teo, Yik-Ying
facets
frbrtype5
frbrgroupidcdi_FETCH-LOGICAL-1646t-fb55637c9f5ee64ab555cf3c0419b8df43fc70d5e4dde896dd03e061cf54c15d3
rsrctypearticles
prefilterarticles
languageeng
creationdate2013
topic
0Article
1Asian Continental Ancestry Group - genetics
2Asian people
3DNA sequencing
4Genetic aspects
5Genetic research
6Genetic Variation
7Genetics
8Genetics(clinical)
9Genetics, Population
10Genome, Human
11Genomes
12Genomics
13Genotype & phenotype
14High-Throughput Nucleotide Sequencing
15Human population genetics
16Humans
17Malays (Asian people)
18Malaysia
19Mutation
20Nucleotide sequencing
21Polymorphism
22Polymorphism, Single Nucleotide
23Population Groups - genetics
24Sensitivity analysis
25Singapore
26Single nucleotide polymorphisms
27Usage
toplevel
0peer_reviewed
1online_resources
creatorcontrib
0Wong, Lai-Ping
1Ong, Rick Twee-Hee
2Poh, Wan-Ting
3Liu, Xuanyao
4Chen, Peng
5Li, Ruoying
6Lam, Kevin Koi-Yau
7Pillai, Nisha Esakimuthu
8Sim, Kar-Seng
9Xu, Haiyan
10Sim, Ngak-Leng
11Teo, Shu-Mei
12Foo, Jia-Nee
13Tan, Linda Wei-Lin
14Lim, Yenly
15Koo, Seok-Hwee
16Gan, Linda Seo-Hwee
17Cheng, Ching-Yu
18Wee, Sharon
19Yap, Eric Peng-Huat
20Ng, Pauline Crystal
21Lim, Wei-Yen
22Soong, Richie
23Wenk, Markus Rene
24Aung, Tin
25Wong, Tien-Yin
26Khor, Chiea-Chuen
27Little, Peter
28Chia, Kee-Seng
29Teo, Yik-Ying
collection
0ScienceDirect Open Access Titles
1Elsevier:ScienceDirect:Open Access
2Medline
3MEDLINE
4MEDLINE (Ovid)
5MEDLINE
6MEDLINE
7PubMed
8CrossRef
9Calcium & Calcified Tissue Abstracts
10Neurosciences Abstracts
11Nucleic Acids Abstracts
12Toxicology Abstracts
13Technology Research Database
14Environmental Sciences and Pollution Management
15Engineering Research Database
16ProQuest Health & Medical Complete (Alumni)
17Biotechnology and BioEngineering Abstracts
18Genetics Abstracts
19MEDLINE - Academic
20OpenAIRE (Open Access)
21OpenAIRE
22PubMed Central (Full Participant titles)
jtitleAmerican journal of human genetics
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
au
0Wong, Lai-Ping
1Ong, Rick Twee-Hee
2Poh, Wan-Ting
3Liu, Xuanyao
4Chen, Peng
5Li, Ruoying
6Lam, Kevin Koi-Yau
7Pillai, Nisha Esakimuthu
8Sim, Kar-Seng
9Xu, Haiyan
10Sim, Ngak-Leng
11Teo, Shu-Mei
12Foo, Jia-Nee
13Tan, Linda Wei-Lin
14Lim, Yenly
15Koo, Seok-Hwee
16Gan, Linda Seo-Hwee
17Cheng, Ching-Yu
18Wee, Sharon
19Yap, Eric Peng-Huat
20Ng, Pauline Crystal
21Lim, Wei-Yen
22Soong, Richie
23Wenk, Markus Rene
24Aung, Tin
25Wong, Tien-Yin
26Khor, Chiea-Chuen
27Little, Peter
28Chia, Kee-Seng
29Teo, Yik-Ying
formatjournal
genrearticle
ristypeJOUR
atitleDeep Whole-Genome Sequencing of 100 Southeast Asian Malays
jtitleAmerican journal of human genetics
addtitleAm J Hum Genet
date2013-01-10
risdate2013
volume92
issue1
spage52
epage66
pages52-66
issn0002-9297
eissn1537-6605
notesThese authors contributed equally to this work
abstractWhole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30× coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (<5%) markers, a larger number of individuals might have to be whole-genome sequenced so that the accuracy currently afforded by the 1KGP can be achieved. The SSMP data are expected to be the benchmark for evaluating the value of deep population-level sequencing versus low-pass sequencing, especially in populations that are poorly represented in population-genetics studies.
copUnited States
pubElsevier Inc
pmid23290073
doi10.1016/j.ajhg.2012.12.005
oafree_for_read