mind the (diversity) gap: contributions of diverse populations ......lucia a. hindorff, phd, mph...
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![Page 1: Mind the (diversity) gap: contributions of diverse populations ......Lucia A. Hindorff, PhD, MPH Program Director, Division of Genomic Medicine Missing Heritability Workshop –May](https://reader033.vdocument.in/reader033/viewer/2022051907/5ff9f8a02f3bea20fc0ccdad/html5/thumbnails/1.jpg)
Lucia A. Hindorff, PhD, MPHProgram Director, Division of Genomic MedicineMissing Heritability Workshop – May 2, 2018
Mind the (diversity) gap: contributions of diverse populations to common disease studies
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What have we learned from GWAS in diverse populations?
• Landscape of GWAS• Evolution of GWAS arrays• Enhancing GWAS analyses
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2009
2018
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April, 2018:• 3,349 publications• 59,967 unique SNP-trait
associations
https://www.ebi.ac.uk/gwas/
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Evolving landscape of GWAS
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Studies and associations
0100002000030000400005000060000
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Asso
ciat
ions
Stud
ies
Publication Year
Studies Associations Associations, by ancestry
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
0%
20%
40%
60%
80%
100%
Dec-05
Dec-06
Dec-07
Dec-08
Dec-09
Dec-10
Dec-11
Dec-12
Dec-13
Dec-14
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Mix
ed
EA o
r non
-EA
Publication Year
EA only
Non-EA only
Mixed, including EA
Associations, by MAF
0
5000
10000
15000
20000
25000
Dec-05
Dec-06
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Asso
ciat
ions
Publication Year
MAF<0.01
MAF<0.05
MAF<0.1MAF<0.25
MAF<0.5
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Studies vs. associations
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Legend
Non-European, Non-Asian
Not reported
European
All AsianEast Asian
Other Asian
Hispanic or Latin American
African
Middle Eastern
Multiple
Multiple, non-European
Multiple, including European
Other and other admixed
Associations
Mid. Eastern – 0.03%Native American – 0.03%Oceanian – 0.5%
Not reported – 3%
Non-European46%
Non-European22%
Not reported6%
Individuals
Mid. Eastern – 0.04%Native American – 0.03%Oceanian – 0.02%
Morales, et al. Genome Biology 2018. PMID 29448949
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6Alzheimer's disease Schizophrenia Prostate Cancer Crohn's Disease Rheumatoid Arthritis0
10
20
30
num
ber o
f stu
dies
Type II Diabetes Breast Cancer BMI Body Height Heart Disease0
10
20
30nu
mbe
r of s
tudi
es
OtherHispanic/La�nAmerican
Oceanian
MiddleEastern/NorthAfrican
African=AfricanAmerican/Afro-Caribbean, Sub-SaharanAfrican,Africanunspecified
EastAsian
European
OtherAsian=SouthAsian,SouthEastAsian,Asianunspecified
Notreported
Mul�ple,includingEuropean
Mul�ple,non-European
SupplementaryFigure3
Alzheimer's disease Schizophrenia Prostate Cancer Crohn's Disease Rheumatoid Arthritis0
10
20
30
num
ber o
f stu
dies
Type II Diabetes Breast Cancer BMI Body Height Heart Disease0
10
20
30nu
mbe
r of s
tudi
es
OtherHispanic/La�nAmerican
Oceanian
MiddleEastern/NorthAfrican
African=AfricanAmerican/Afro-Caribbean, Sub-SaharanAfrican,Africanunspecified
EastAsian
European
OtherAsian=SouthAsian,SouthEastAsian,Asianunspecified
Notreported
Mul�ple,includingEuropean
Mul�ple,non-European
SupplementaryFigure3
Alzheimer's disease Schizophrenia Prostate Cancer Crohn's Disease Rheumatoid Arthritis0
10
20
30
num
ber o
f stu
dies
Type II Diabetes Breast Cancer BMI Body Height Heart Disease0
10
20
30
num
ber o
f stu
dies
OtherHispanic/La�nAmerican
Oceanian
MiddleEastern/NorthAfrican
African=AfricanAmerican/Afro-Caribbean, Sub-SaharanAfrican,Africanunspecified
EastAsian
European
OtherAsian=SouthAsian,SouthEastAsian,Asianunspecified
Notreported
Mul�ple,includingEuropean
Mul�ple,non-European
SupplementaryFigure3
Morales, et al. Genome Biology 2018. PMID 29448949
Alzheimer's disease Schizophrenia Prostate Cancer Crohn's Disease Rheumatoid Arthritis0
10
20
30
num
ber o
f stu
dies
Type II Diabetes Breast Cancer BMI Body Height Heart Disease0
10
20
30
num
ber o
f stu
dies
OtherHispanic/La�nAmerican
Oceanian
MiddleEastern/NorthAfrican
African=AfricanAmerican/Afro-Caribbean, Sub-SaharanAfrican,Africanunspecified
EastAsian
European
OtherAsian=SouthAsian,SouthEastAsian,Asianunspecified
Notreported
Mul�ple,includingEuropean
Mul�ple,non-European
SupplementaryFigure3
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Population Architecture using Genomics and Epidemiology (PAGE)
• Multi-cohort study• MEC• WHI• SOL• MSSM BioMe
• ~50,000 individuals• Depth and breadth of
phenotype information
Ancestry NAfrican-American 17,299
Asian-American 4,680Hispanic/Latino 22,216
Native Hawaiian 3,940Native American 652
Other 1,052Total 49,796
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PAGE Multi-ethnic Genotyping (MEGA) Array
Custom content
Exome sequences from 36K multiethnic individuals
ClinVar, OMIM
1000 Genomes Project
Existing
PAGE-related traitsMultiethnic Exomic
VariantsFunctional Variants
GWAS Scaffold
African Diaspora Power Chip
Human Core
Human Exome Bien, et al. PLoS One 2016. PMID 27973554
1.7MSNPs
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GWAS scaffold tags common and low frequency variants
Info scores from PAGE MEGA array data, imputed to 1000 Genomes
Wojcik, Graff, Kenny, Carlson, et al. Updated from https://www.biorxiv.org/content/early/2017/09/15/188094
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Multiethnic data complement and add to prior GWAS results
Largest GWAS catalog discovery population
PAGE
Novel
Loci
(count)
Residual
Loci
(count)Phenotype European East Asian AfricanHispanic/
Latino
HDL 99,900 12,545 7,917 4,383 33,063 2 5
LDL 94,595 12,545 7,861 4,383 32,221 0 2
TG 96,598 12,545 7,601 4,383 33,096 1 2
TC 100,184 8,344 6,480 4,383 33,185 1 3
Wojcik, Graff, Kenny, Carlson, et al. Updated from https://www.biorxiv.org/content/early/2017/09/15/188094
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Residual signal: fine mapping
Wojcik, Graff, Kenny, Carlson, et al. Updated from https://www.biorxiv.org/content/early/2017/09/15/188094
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Residual signal: secondary allele
Wojcik, Graff, Kenny, Carlson, et al. Updated from https://www.biorxiv.org/content/early/2017/09/15/188094
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• “Why not just add 50K more Europeans?”
• Meta-analysis of GIANT+PAGE vs. GIANT+50K UKBB
• FINEMAP over both datasets with weighted LD matrices
• Compare: credible set size, posterior probabilities
What additional information is gained from diverse participants?
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Comparing credible sets for height
• 366 index loci• Credible set sizes are
significantly smaller for height in meta-analysis of GIANT + PAGE, compared to GIANT + 50K UKBB Europeans
P=3.46x10-36
Courtesy G. Wojcik
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Comparing posterior probability
• 366 index loci• Top ranked SNP has
higher posterior probability in meta-analysis of GIANT + PAGE, compared to GIANT + 50K UKBB Europeans
Courtesy G. Wojcik
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Towards rare variant association studies• WGS with deep imputation in up
to 267,616 individuals• 12 anthropometric traits• 106 novel signals
• 6 not implicated with related traits
• 28 independent signals at previously reported regions
• 72 previously reported signals for different traits
• All European ancestryTachmazidou, AJHG 2018; PMID 28552196
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Information disparity
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• Missing heritability: lack of scientific information • Lack of information likely to differ among groups (eg, racial/ethnic
minorities)• To address this information disparity, need to look beyond the low-
hanging fruit
Popejoy and Fullerton, Nature 2016. PMID 27734877
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PAGE
• Stephanie Bien
• Chris Carlson
• Sinead Cullina
• Chris Gignoux
• Misa Graff
• Jeffrey Haessler
• Heather Highland
• Eimear Kenny
• Katie Nishimura
• Yesha Patel
• Gen Wojcik
• Steve Buyske• Chris Haiman• Charles Koopberberg• Loic Le Marchand• Ruth Loos• Kari North• Tara Matise• Ulrike Peters• CIDR/UW investigators• Many PAGE co-investigators 18
Acknowledgments
GWAS Catalog - EBI
• Jackie MacArthur
• Joannella Morales
• Helen Parkinson• Paul Flicek• Fiona Cunningham• Tony Burdett• Annalisa Buniello• Maria Cerezo• Laura Harris• Emma Hastings• Xin He• Cinzia Malangone• Aoife McMahon• Annalisa Milano• Zoe Pendlington• Trish Wetzel
NHGRI
• Heather Colley• Maggie Ginoza• Peggy Hall• Teri Manolio• Ken Wiley
NIMHD
• Regina James